Dissertations / Theses on the topic 'Water resources, climate change'

Thesis (Ph. D.)--University of California, San Diego, 2007.
Title from first page of PDF file (viewed June 21, 2007). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references.

Includes abstract.
Includes bibliographical references (leaves 205-223).
This thesis examines the interrelationship between “water, climate change and small towns”. The research question is framed in three parts: 1) can climate change be integrated into existing planning frameworks? 2) can small towns build resilient strategies against projected climate change impacts? and, 3) is adaptation to climate change an economic issue? It is evident that very little synergy exists between the different sectors dealing with water access. A holistic view of access and the impact of climate change does not exist in the sustainable development, urban planning and water resources management sectors. It is therefore proposed that the successful delivery of accessible water services lies with the integration of the urban planning, water resources management and climate change adaptation responses. In order to achieve this, a planning framework is introduced.

This study evaluated the impacts of shallow and deep open drains on groundwater levels and drain performance under varying climate scenarios and irrigation application rates. The MIKE SHE model used for this study is an advanced and fully spatially distributed hydrological model. Three drain depths, climates and irrigation application rates were considered. The drains depths included 0, 1 and 2 m deep drains. The annual rainfall and meteorological data were collected from study area from 1976 to 2004 and analysed to identify the typical wet, average and dry years within the record. Similarly three irrigation application rates included 0, 10 and 16 ML/ha-annum. All together twenty seven scenarios (3 drains depths, 3 climates and 3 irrigation application rates) were simulated. The observed soil physical and hydrological data were used to calibrate and validate the model. Mean square error (R[superscript]2) of the simulated and observed water table data varied from 0.7 to 0.87. Once validated the MIKE SHE model was used to evaluate the effectiveness of 1 and 2 metre deep drains. The simulated water table depth, unsaturated zone deficit, exchange between unsaturated and saturated zones, drain outflow and overland flow were used to analyse their performance. The modeling results showed that the waterlogging was extensive and prolonged during winter months under the no drainage and no irrigation scenario. In the wet climate scenario, the duration of water logging was longer than in the average climate scenario during the winter months. In the dry climate scenario no waterlogging occurred during the high rainfall period. The water table reached soil surface during the winter season in the case of wet and average climate. For the dry climate, the water table was about 0.9 metres below soil surface during winter.
One and 2 metre deep drains lowered the water table up to 0.9 and 1.8 metres in winter for the wet climate when there was no irrigation application. One metre deep drains proved effective in controlling water table during wet and average climate without application of irrigation water. One metre deep drains were more effective in controlling waterlogging a in wet, average and dry years when the irrigation application rate was 10 ML/ha-annum. With 16 ML/ha-annum irrigation application, 1 metre deep drains did not perform as efficiently as 2 metre deep drains in controlling the water table and waterlogging. In the dry climate scenario, without irrigation application, 1 metre deep drains were not required as there was not enough flux from rainfall and irrigation to raise the water table and create waterlogging risks. Two metre deep drains lowered the water table to greater depths in the wet, average and dry climate scenarios respectively when no irrigation was applied. They managed water table better in wet and average climate with 10 and 16 ML/ha-annum irrigation application rate. Again in the dry climate, without irrigation application 2 metre deep drains were not required as there was a minimal risk of waterlogging. The recharge to the groundwater table in the no drainage case was far greater than for the 1 and 2 metre deep drainage scenarios. The recharge was higher in case of 1 metre deep drains than 2 metre deep drains in wet and average climate during winter season.
There was no recharge to ground water with 1 and 2 metre deep drains under the dry climate scenarios and summer season without irrigation application as there was not enough water to move from the ground surface to the unsaturated and saturated zones. When 10 ML/ha-annum irrigation rate was applied during wet, average and dry climate respectively, 1 metre deep drains proved enough drainage to manage the recharge into the groundwater table with a dry climate. For the wet and average climate scenarios, given a 10 ML/ha-annum irrigation application rate, 2 metre deep drains managed recharge better than 1 metre deep drains. Two metres deep drains with a 10 ML/ha-annum irrigation application rate led to excessive drainage of water from the saturated zone in the dry climate scenario. Two metres deep drains managed recharge better with a 16 ML/ha-annum irrigation application rate in the wet and average climate scenarios than the 1 metre deep drains. Two metres deep drains again led to excessive drainage of water from the saturated zone in dry climate. In brief, 1 metre deep drains performed efficiently in the wet and average climate scenarios with and without a 10 ML/ha-annum irrigation application rate. One metre deep drains are not required for the dry climate scenario. Two metre deep drains performed efficiently in the wet and average climate scenarios with 16 ML/ha-annum irrigation application rate. Two metre deep drains are not required for the dry climate scenario.

This thesis aims to assess the effects of climate change mediated through the watersheds of global dams on water resources delivered to those dams. Dams and reservoirs play an important role in social and economic development contributing water for 12-16% of global food production and providing around 20% of the world's energy supply through hydropower. The first part of this research has been dedicated to the further development of the first global geo-referenced database of dams (KCL GOOD2) that allows for modelling the impacts of land use and climate changes on water supplies. More than 36,000 dams were identified in a collaborative effort using an open source database (GEOWIKI) and Google Earth. This database was then used to extract all individual dam watersheds. These watersheds combined make up around 18% of global land mass which means that impacts of climate change can have profound impacts on the water resources delivered to dams. By combining the calculated watersheds of dams with climate model projections from the IPCC AR4, changes in the water balance in the catchments of these dams were calculated and changes in reservoir water level were estimated for a range of large dams. The AguaAndes/WaterWorld spatial hydrological model using a multi-GCM scenario was then applied to three case study dams in different climate regions around the world to evaluate directional changes in water and sediment supply. Sensitivity to climate and land cover changes of the basins containing the dams was assessed by running the model for a range of scenarios. The final part of this thesis describes the application of the AguaAndes/WaterWorld model to the Santa basin in Peru to assess the impacts of climate change on a small hydroelectric plant using several multi-GCM scenarios to address uncertainty in the projections.

Thesis (Ph.D)--Civil and Environmental Engineering, Georgia Institute of Technology, 2007.
Committee Chair: Georgakakos, Aris; Committee Member: Fu, Rong; Committee Member: Peters-Lidard, Christa; Committee Member: Roberts, Phil; Committee Member: Sturm, Terry; Committee Member: Webster, Don.

Water is recognised as a key driver for social and economic development in the Zambezi basin. The basin is riparian to eight southern African countries and the transboundary nature of the basin’s water resources can be viewed as an agent of cooperation between the basin countries. It is possible, however, that the same water resource can lead to conflicts between water users. The southern African Water Vision for ‘equitable and sustainable utilisation of water for social, environmental justice and economic benefits for the present and future generations’ calls for an integrated and efficient management of water resources within the basin. Ensuring water and food security in the Zambezi basin is, however, faced with challenges due to high variability in climate and the available water resources. Water resources are under continuous threat from pollution, increased population growth, development and urbanisation as well as global climate change. These factors increase the demand for freshwater resources and have resulted in water being one of the major driving forces for development. The basin is also vulnerable due to lack of adequate financial resources and appropriate water resources infrastructure to enable viable, equitable and sustainable distribution of the water resources. This is in addition to the fact that the basin’s economic mainstay and social well-being are largely dependent on rainfed agriculture. There is also competition among the different water users and this has the potential to generate conflicts, which further hinder the development of water resources in the basin. This thesis has focused on the Zambezi River basin emphasising climate variability and climate change. It is now considered common knowledge that the global climate is changing and that many of the impacts will be felt through water resources. If these predictions are correct then the Zambezi basin is most likely to suffer under such impacts since its economic mainstay is largely determined by the availability of rainfall. It is the belief of this study that in order to ascertain the impacts of climate change, there should be a basis against which this change is evaluated. If we do not know the historical patterns of variability it may be difficult to predict changes in the future climate and in the hydrological resources and it will certainly be difficult to develop appropriate management strategies. Reliable quantitative estimates of water availability are a prerequisite for successful water resource plans. However, such initiatives have been hindered by paucity in data especially in a basin where gauging networks are inadequate and some of them have deteriorated. This is further compounded by shortages in resources, both human and financial, to ensure adequate monitoring. To address the data problems, this study largely relied on global data sets and the CRU TS2.1 rainfall grids were used for a large part of this study. The study starts by assessing the historical variability of rainfall and streamflow in the Zambezi basin and the results are used to inform the prediction of change in the future. Various methods of assessing historical trends were employed and regional drought indices were generated and evaluated against the historical rainfall trends. The study clearly demonstrates that the basin has a high degree of temporal and spatial variability in rainfall and streamflow at inter-annual and multi-decadal scales. The Standardised Precipitation Index, a rainfall based drought index, is used to assess historical drought events in the basin and it is shown that most of the droughts that have occurred were influenced by climatic and hydrological variability. It is concluded, through the evaluation of agricultural maize yields, that the basin’s food security is mostly constrained by the availability of rainfall. Comparing the viability of using a rainfall based index to a soil moisture based index as an agricultural drought indicator, this study concluded that a soil moisture based index is a better indicator since all of the water balance components are considered in the generation of the index. This index presents the actual amount of water available for the plant unlike purely rainfall based indices, that do not account for other components of the water budget that cause water losses. A number of challenges were, however, faced in assessing the variability and historical drought conditions, mainly due to the fact that most parts of the Zambezi basin are ungauged and available data are sparse, short and not continuous (with missing gaps). Hydrological modelling is frequently used to bridge the data gap and to facilitate the quantification of a basin’s hydrology for both gauged and ungauged catchments. The trend has been to use various methods of regionalisation to transfer information from gauged basins, or from basins with adequate physical basin data, to ungauged basins. All this is done to ensure that water resources are accounted for and that the future can be well planned. A number of approaches leading to the evaluation of the basin’s hydrological response to future climate change scenarios are taken. The Pitman rainfall-runoff model has enjoyed wide use as a water resources estimation tool in southern Africa. The model has been calibrated for the Zambezi basin but it should be acknowledged that any hydrological modelling process is characterised by many uncertainties arising from limitations in input data and inherent model structural uncertainty. The calibration process is thus carried out in a manner that embraces some of the uncertainties. Initial ranges of parameter values (maximum and minimum) that incorporate the possible parameter uncertainties are assigned in relation to physical basin properties. These parameter sets are used as input to the uncertainty version of the model to generate behavioural parameter space which is then further modified through manual calibration. The use of parameter ranges initially guided by the basin physical properties generates streamflows that adequately represent the historically observed amounts. This study concludes that the uncertainty framework and the Pitman model perform quite well in the Zambezi basin. Based on assumptions of an intensifying hydrological cycle, climate changes are frequently expected to result in negative impacts on water resources. However, it is important that basin scale assessments are undertaken so that appropriate future management strategies can be developed. To assess the likely changes in the Zambezi basin, the calibrated Pitman model was forced with downscaled and bias corrected GCM data. Three GCMs were used for this study, namely; ECHAM, GFDL and IPSL. The general observation made in this study is that the near future (2046-2065) conditions of the Zambezi basin are expected to remain within the ranges of historically observed variability. The differences between the predictions for the three GCMs are an indication of the uncertainties in the future and it has not been possible to make any firm conclusions about directions of change. It is therefore recommended that future water resources management strategies account for historical patterns of variability, but also for increased uncertainty. Any management strategies that are able to satisfactorily deal with the large variability that is evident from the historical data should be robust enough to account for the near future patterns of water availability predicted by this study. However, the uncertainties in these predictions suggest that improved monitoring systems are required to provide additional data against which future model outputs can be assessed.

The water resources of the Southwestern United States are under significant stress. The historical record of the Colorado River indicates that the commitment allocations (7.5 million acre-feet to both the Upper and Lower Colorado basin states, and 1.5 maf for Mexico) have overestimated the average available streamflow. Compounding the supply problem, the Bureau of Reclamation has projected an average decrease of 9% in the Colorado River streamflow between the years 2011-2060. Improving forecasts of climate and streamflow, at nearly all time scales, is imperative to most effectively manage these strained water resources. Given the challenges confronting the Southwest, three research studies are presented that could be used to assist water managers. The first study targets the lack of skill seen in seasonal forecasts of precipitation across the US issued by the Climate Prediction Center (CPC). An objective and concise methodology is shown to improve overall seasonal forecast skill as an alternative to forecasts made by the CPC. This methodology uses a combined linear and nearest neighbor model to make forecasts, with the NINO3.4 index as the only predictor. The second study shows skillful forecasts of decadal Colorado streamflow using the Atlantic Multidecadal Oscillation (AMO) and Pacific Decadal Oscillation (PDO) indices as predictors. However, even though the instrumental record showed statistically significant skillful forecasts, the reconstructed records of AMO, PDO and streamflow appear to challenge these results. Lastly, the third study investigates the effects of climate change in the 21st century on the Salt, Verde and Rio Grande river basins. Two dynamically downscaled General Circulation Models (GCMs) are first bias-corrected. Then, the output of these models is used as the climatic forcings for the Variable Infiltration Capacity (VIC) hydrologic model. Results suggest that future streamflows are projected to decrease by 22% and 37%, for the respective GCMs, averaged across the basins.

Water-resource managers are facing unprecedented challenges in accommodating the large uncertainties associated with climate change in their planning decisions. Integration of climate risk information is a pre-requisite for water resources planning under a changing climate, yet this information is often presented outside the decision-making context and in a way which is not relevant for the decision at hand. Furthermore, there is a lack of approaches that explicitly evaluate the impact of nonstationary climate change on decision-relevant metrics and variables. This thesis describes novel methods for incorporating uncertain information on climate change in water resources decision-making and estimating climate change-related risks in water resources systems. The main hypotheses of this thesis are that: (1) shifting away from planning approaches based on abstract supply-demand balance metrics towards risk-based approaches that quantify the frequency and severity of observable outcomes of concern to water users, such as water shortages, can help decision-makers establish preferences among actions and identify cost and climate risk reduction trade-offs (2) adopting risk-based planning methods allows water managers to characterize and account for different sources of uncertainty in the water planning process and to understand their impact on outcomes of value and decisions. To test these hypotheses, this thesis presents an analytic approach for (1) incorporating nonstationary climate change projections and other uncertain factors related to demand changes into water resources decision-making, (2) understanding trade-offs between benefits of climate risk-reduction and cost of climate change adaptation, and (3) characterizing water supply vulnerability to unprecedented drought conditions. The approach is applied to London's urban water supply system located in the Thames river basin, south-east of England. Results from this thesis demonstrate how a systematic characterization of uncertainties related to future hydro-climatic conditions can help decision-makers compare and choose between a range of possible water management options and decide upon the scale and timing of implementation that meet decision-makers' risk tolerability. Additionally, results show the benefits of combining climate information with vulnerability analysis to test decisions' robustness to unprecedented drought conditions. The application of the proposed methods to the London urban water supply system suggests that the risks of exceeding reliability targets in the future will increase if no further supply or demand side actions were to be taken. Results from the case study also show that changes in demand due to population growth could have greater impacts on water security than climate change and that small reductions in climate-related risk may come at significantly higher costs. It should be stressed that the results from the case study are based on a simplified representation of London's water supply system and that they should be further tested with the full system model employed by the water utility which implements more complex operational rules.

The impacts of climate change are of increasing interest to water resources managers since the changes in water resources affect many fields such as agriculture, ecosystem, water quality and quantity etc. The typical framework of climate change impact studies on water resources is based on the utilisation of climate models and hydrological models. This thesis aims to explore and fill in the knowledge gaps in this framework. The Thorverton catchment (606 sq. km) in Southwest England is chosen as the case study catchment. The studies are composed of two main parts: bias correction of regional climate model (RCM) and hydrological modelling under climate change. Firstly, I propose four new bias correction schemes. The first two studies are related to grouping criteria and the other two are related to the data uncertainty: 1) an improved bias correction scheme based on comparative precipitation characteristics; 2) the Optimal number of bias correction groups; 3) bias correction methods for RCM simulations considering the distributional parametric uncertainty underlying the observations; and 4) precipitation ensembles conforming to natural variations derived from Regional Climate Model using a new bias correction scheme. Secondly, a new parameterisation scheme for the nonstationary hydrological system is explored. The calibration is based on changing the model parameter with time by adapting the parameter. Only one parameter is selected for optimisation while the other parameters are fixed. It is concluded that the performance of the proposed method is better than the conventional method whose parameters are stationary. In addition, calibration of non-continuous time series has been explored. Currently there is no consensus method on how to calibrate this non-continuous time period. I have explored two sub-annual calibration schemes (serial and parallel) and recommended that the right choice is dependent on the purpose (e.g. interested in soil moisture or flow) of the model usage.

Observational evidence and future climate change scenarios suggest an amplification of climatic contrasts across the UK. This is seen most prominently in the marked increase in notable flood events and drought episodes and may profoundly affect water resource systems in vulnerable areas, as exemplified by the 1995 Yorkshire drought. The 1995-96 drought resulted in severe stress to the Yorkshire water supply, necessitating the emergency measure of tanking in water from outside the region, and was caused by an unusual pattern of weather and precipitation. This research is an investigation into both natural climatic variability and possible future climate change in Yorkshire aiming to quantify the risk of future occurrence of severe drought events, such as that of 1995. Historical drought characteristics and spatial-temporal precipitation variability in Yorkshire are examined and linked to synoptic weather patterns. A multi-site stochastic rainfall model is then developed using conditioning by synoptic weather types. The model can account for spatial variability and allows the concurrent simulation of precipitation time-series for very different climatological sub-regions within the same water resource area. This model is used to investigate the impact of natural climatic variability and possible future climate change upon water resource reliability, resilience and vulnerability in Yorkshire. The structure of the stochastic rainfall model enables the impact of variations in weather type persistence or frequency to be investigated. In addition, rainfall model statistics can be altered to simulate instances of increased precipitation intensity or proportion dry days for example, for individual weather groups. The UKCIP98 Medium-High climate change scenarios for 2021- 2050 and 205 1-2080 are investigated using modifications to weather type frequency, precipitation and potential evapotranspiration. Results indicate that water resources in Yorkshire are likely to become more reliable on average under the examined climate change scenarios due to increased winter precipitation. However, model simulations also suggest a reduction in resource resilience and increased vulnerability to drought. Severe droughts comparable to that of 1995 show only a slight increase in frequency by 2080. However, there will be a significant increase in both magnitude and duration of severe drought, as a consequence of summer precipitation reductions and increased climatic variability. This methodology of simulating the impacts of potential atmospheric circulation change on precipitation regimes can provide a basis for the future planning and management of water resource systems.

Hundreds of international water institutions have been established over the last three decades in an attempt to address global water issues. Despite great efforts by these and other institutions, a significant percentage of the world's population still lacks access to clean water and sanitation facilities. Although billions of dollars have been spent on development, infrastructure and public health endeavors meant to tackle such issues, little research has been done to examine how these often influential organizations known as global water initiatives (GWIs) are addressing such urgent issues in the face of a rapidly changing climate. As water is central to the hydrological cycle, and affected by changes in climate, examining the role of GWIs in the use and translation of climate-change science may lead to better understanding of the mechanisms through which such organizations are linking climate change to their work in water management and governance. By examining 170 GWIs through two distinct phases of methodology, it was found that GWIs are addressing climate change issues through their work with water. Evidence presented in this research supports the claim that GWIs have adopted climate change as part of their overall operational frameworks and that their missions may be supported and ultimately achieved through the addition of climate-change science. While GWIs are shown to use climate-change science in setting objectives, and in decision making, it was also found that issues of cost, access, and utility remain as significant barriers. Findings presented in this study also suggest that intergovernmental and nongovernmental organizations, alongside professional societies dedicated to trades and disciplines related to water, are among the most important categories of GWIs, and as such, operate within a series of complex networks. This research also revealed that activities and outputs of GWIs enhance water management and governance, contribute to the world's knowledge base on water, and highlight the need to acknowledge GWIs as an important and prominent aspect of the global water dialogue.

Climate change impact and drought phenomena linked with anthropogenic pressure have become a growing concern for water resource managers and policy makers, particularly in arid and semi-arid regions. This research proposes generic methodologies to evaluate the prospective impact of such changes at a basin-scale. The Lower Zab River Basin, northern Iraq, has been selected as a representative case study. These methodologies have been achieved through the following: (1) Highlight the impact of potential evapotranspiration (PET) methods, elevation, and climatic conditions on the reconnaissance drought index (RDI) results, applying three of the most widespread PET estimates, which are Thornthwaite, Hargreaves, and Blaney-Criddle in addition to the Food and Agriculture Organization Penman-Monteith reference technique, using data from 24 stations cover different elevations and climatic conditions for the period from 1979 to 2014. The initial form of RDI is directly influenced by the selected PET method at different elevations for all regions. (2) Combine the results of the flow duration curve and the digital filtering algorithms to overcome the limitations of the traditional baseflow separation methods, and then determine the baseflow annual variations. The water yielded from the basin storage system during the dry seasons resulted in dissimilarities in the observed baseflow index between the pre-damming and post-damming periods of the streamflow. (3) Quantify the hydrological alterations of various flow characteristics utilise the Indicators of Hydrologic Alteration method, in addition to multi- regression, hydrologic sensitivity, and hydrologic model simulations. Climate change was the main factor reducing streamflow. (4) Compare the results of seven ensembles General Circulation Models (GCM) with the results of delta perturbation (DP) scenarios. Both scenarios predicted almost identical decreases in the mean monthly flows to the reservoir. The DP scenarios allow the sensitivity of the impact models to climate change to be more evidently determined compared to GCM scenarios so that they could be complemented GCM scenarios.

From the Proceedings of the 2012 Meetings of the Hydrology Section - Arizona-Nevada Academy of Science - April 14,2012, Glendale Community College, Glendale, Arizona
Climate change is real and may have devastating effects to a fragile world that is reaching beyond its capacity. This is especially true in the semi-arid areas of the western United States and particularly in Wyoming. The problem of climate change is serious and its solutions depend on the willingness of people to act on it with zeal in a coordinated and holistic manner. In particular, Wyoming is faced with possible water contamination from hydraulic fracturing operations. In the presence of continuing drought from climate change, such a problem in combination with the sheer amount of water required for fracturing practices can lead to serious water shortage. The objective of this study is to examine the current environmental policy in Wyoming and evaluate its ability to help adapt to climate change. This is very important and a clear understanding of existing environmental policies is necessary to develop and implement appropriate plans and procedures to protect the quality of the increasingly shrinking and valuable water supply in an effective, holistic and cost-effective manner. In this study, I expect to provide a comprehensive overview and understanding of the quantity, quality, allocation and use of the area’s groundwater and surface water under recurring climate change. Such information may lead to actions and steps that can be taken by Wyoming’s water stakeholders.

Temperature and precipitation are the most important indicators of climate change. Especially for the basins fed by snow, the shifts of melting to earlier times, affects the streamflow. Increase in temperature causes to shifts of melting of snow to shift to earlier times so that hydrologic regime of the river system changes, and leads to changes in climatic conditions of the region. In this study the shifts of snow melting times are analyzed for the selected 15 streamflow stations located in Euphrates, Tigris, Aras, and Ç
oruh basins in Eastern Anatolia of Turkey along with period from 1970 to 2010. The shifts in snowmelt runoff are determined by Center Time (CT) method. Meteorological stations representing the stream gauge stations regarding the basin characteristics are also selected to be used in the analyses. In order to relate CT shifts to temperature and precipitation changes, trend analysis are applied to temperature, precipitation and streamflow data. In addition to these, days with daily average temperature less than freezing and wet days below freezing until CT for each station pair between stream gauge and meteorological stations and each year are also analyzed. These days till CT within a year for each station pair can be indirectly linked to snowy days and accumulated snow amount. Complete analyses show significant warming at each station in the region and no important trends in annual precipitation. However at a few stations meaningful seasonal changes in precipitation are observed. Regional warming and associated changes in precipitation and snowmelt runoff cause significant shifts to earlier times of snowmelt runoff. In the region eight out of fifteen stream gauge stations in Euphrates, Tigris and Aras basins showed significant time shifts according to statistical trend tests.

Southern California is located in a semi-arid climate with finite natural supplies of water. Precipitation in the area generally occurs in the fall and winter months. Consequently, the region relies on imported water originating primarily from snowpack in northern areas of California and surrounding states including 1) the San-Joaquin River and Tulare Lake basins, 2) the Sacramento River basin, 3) Owens Valley and Mono Lake basins and 4) the Colorado River basin. This study provides an integrated approach to understanding and assessing climate change impacts on the hydrologic cycle for all water supplies to Southern California. A 10-member ensemble of coupled global climate models is dynamically downscaled forcing one regional and one hydrological model resulting in a high-resolution 4.17-km output for the region. Greenhouse gas concentrations are prescribed according to the IPCC Representative Concentration Pathway 8.5 using the present-day period of 1966-2005 as a baseline with a future period of 2011-2050. On the annual timescale, increases in precipitation and evaporation are projected throughout the majority of the study area with the exception of the Owens Valley and Mono Lake basins. As a result, only a minor runoff reduction in the California Sierra Nevada and a minor increase in the Colorado River basin are simulated. Although these changes in annual runoff are minimal, the interannual variability of runoff also increases across all basins indicating a higher probability of extreme wet or dry years and fewer average years. Furthermore, increased temperatures result in significant reductions in snow water equivalent along with earlier shifts in snowmelt timing. Precipitation that falls is less likely to fall as snow, decreasing snowpack and natural storage. On one hand, the escalating likelihood of runoff occurring earlier in the year poses a significant flood control risk to the region requiring the release of water from reservoirs to prevent flooding. On the other hand, the increased likelihood of drought necessitates additional multiyear storage solutions for Southern Californian water resources.

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Earth, Atmospheric, and Planetary Sciences, 1994.
Includes bibliographical references (p. 207-213).
by James Sydney Risbey.
Ph.D.

In the stochastic hydrology literature, suitable time series modelling approaches have been developed for modelling daily streamflow. However, problems arise with this approach if changes are occurring to the precipitation regime generating the historic streamflow data, or if land-use changes are occurring within the catchment which may alter the water balance and the streamflow regime. Traditional time series modelling approaches employ historic streamflow data only and will generate synthetic data which are representative only of the historic conditions. It is not possible to predict how the model parameters should be changed to reflect changes in the climate (precipitation) and catchment response regimes. Developing a methodology to deal with the stochastic generation of daily streamflow that reflects changes to the catchment system and climatic inputs (rainfall and potential evapotranspiration) and then applying the corresponding methodology to a study catchment (upper Thames) in England is the focus of this study. To study the water resources impacts of land-use change on the daily streamflow regime of a catchment, a daily rainfall-runoff model is needed which can accommodate various land cover characteristics and provide separate estimates of potential and actual evapotranspiration in its evapotranspiration component for each land cover type. Given a model with this capability, the impacts of various land-use scenarios on daily streamflow can be investigated. In the case of climate change, since GCMs do not provide useable results on a short time scale such as a day and on a spatial scale such as a catchment of about 1000 km2, a methodology is required to predict the changes which may occur in the climate inputs of a catchment, and the resulting impacts on water resources. The approach developed here for water resources impact studies of land-use change and climate change has three main elements: (I) Two stochastic models, one for rainfall (Neyman-Scott Rectangular Pulses, NSRP, model) and the other for potential evapotranspiration (PET), are employed to generate daily rainfall and daily PET sequencesr,e spectively. Thesem odels have been validated using historic records for the study catchment. ABSTRACT ii (II) The ARNO model has been calibrated and validated using daily streamflow data for the study catchment. The evapotranspiration component of the model has been modified to obtain a satisfactory water balance. The model is then extended to include the explicit calculation of interception for different land cover types within the catchment. The runoff from these areas is then routed to the catchment outlet. The rainfall and PET models are used to generate synthetic daily input series to the modified ARNO model for present catchment land-use conditions, and overall procedure is validated using the historic streamflow record. This is then worked out using the extended model and referred to as the constructed` control' scenariow hich is used as a benchmarkf or assessingla nd-usec hange impacts on water resources for two different land-use scenarios. (III) The transient GCM climate scenarios are used as the starting point for assessing climate change impacts. Regression relationships are derived between atmospheric circulation variables and rainfall statistics used in fitting the NSRP model for present climate conditions and then used to predict the rainfall statistics for future conditions using GCM outputs. That is, the scenarios of a climate model are downscaled by a regression technique to a resolution sufficient to represent daily rainfall at the catchment scale. To generate potential evapotranspiration (PET) scenarios, an empirical equation is used to estimate PET daily values as a function of temperature, thus enabling future scenarios to be generated as a function of GCM temperature predictions. Generated rainfall and PET scenarios are used as inputs to the adapted ARNO catchment response model to generate daily streamflow data. Impact assessments using both land-use change and climate change scenarios are then carried out using a range of water resources assessment measures such as flow duration curves, cumulative run sums and storage/yield relationships, and the practical implications discussed.

Forecasted changes to climate and land use were used to model variations in the streamflow characteristics of Occoquan watershed and water quality in the Occoquan reservoir. The combination of these two driving forces has created four themes and an integrated complexly-linked watershed-reservoir model was used to run the simulations. Two emission scenarios from the fourth assessment report of the Intergovernmental Panel on Climate Change (IPCC), along with four General Circulation Models (GCMs) by using two statistical downscaling methods, were applied to drive the Hydrological Simulation Program - Fortran (HSPF) and CE-QUAL-W2 (W2) in two future time periods (2046-2065 and 2081-2100). Incorporation of these factors yielded 68 simulation models which were compared with historical streamflow and water quality data from the late 20th century. Climate change is projected to increase surface air temperature and precipitation depth in the study area in the future. Using climate change only, an increase in high and median flows and decrease in low flows are projected. Changes in flow characteristics are more pronounced when only future land use changes are considered, with increases in high, median and low flows. Under the joint examination of the driving forces, an amplifying effect on the high flows and median flows observed. In contrast, climate change is projected to dampen the extreme increases in the low flows created by the land use change. Surface water temperatures are projected to increase as a result of climate change in the Occoquan reservoir, while these changes are not very noticeable under the effect of land use change only. It is expected that higher water temperatures will promote decreased oxygen solubility and greater heterotrophy. Moreover, longer anoxic conditions are projected at the bottom of the reservoir. Results indicate that higher water temperature will increase the denitrifying capacity of the reservoir, especially during summer months, further reducing the nitrate concentration in the reservoir.
PHD

Doctor of Philosophy
Department of Biological & Agricultural Engineering
Stacy L. Hutchinson
Precipitation impacts hydrologic structures, agricultural production, water resources management, and recreational activities, all of which significantly affect a state’s economy. Water control structure design is based on the maximum runoff rate resulting from storms with a specific return period and duration. The Rainfall Frequency Atlas (National Weather Service Technical Paper 40, 1961) (TP-40) provided statistical rainfall analysis as the basis for hydrologic structure design until the information was updated for Kansas in February 2013 (National Oceanic and Atmospheric Administration Atlas 14, volume 8) (Atlas-14). With growing concern about the effects of global climate change and predictions of more precipitation and extreme weather events, it is necessary to explore rainfall distribution patterns using the most current and complete data available. In this work, the changes in rainfall patterns were studied using the daily rainfall data from 23 stations in Kansas and 15 stations from adjacent states with daily rainfall data of 1890 through 2012. Analysis showed an increase in extreme precipitation events in Kansas with increase in magnitude from the northwest to southeast part of the state. A comparison of results of the TP-40 analysis to period 1980–2009, showed that approximately 84% of the state had an increase in short-term rainfall event magnitudes. In addition, trend analyzes on the total annual rainfall indicated a gradual increase at 21 out of 23 stations, including eight statistically significant trends. A change-point analysis detected a significant sudden change at twelve stations as early as 1940 and as recently as 1980. The increasing trend, particularly after the significant change-points, is useful in updating water management plans and can assist with agricultural production decisions such as crop selection and new plant variety development. A comparison between 10-yr, 24-hr storms from TP-40 and Atlas-14 indicated a change of -12% to 5% in Kansas. However, the number of exceedances from the 10-yr, 1-, 2-, 3-, 4-, 7-, and 10-day storms demonstrated a tendency towards more exceedances, particularly in the last five decades. Results of this study are useful for hydrologic structure design and water resources management in order to prevent accepting additional risk of failure because of the current changing climate.

Recent prolonged droughts make the urgent need to revise the criteria for water use permits in Brazil, especially in basins under conflicts for water use. Mechanisms for water risks transfer are an important adaptation tool. However, in Brazil, there is no established methodology that adapts this technique to assist the water use permit instrument. Moreover, there is no water risk insurance methodology with uncertainty analysis that complements its effectiveness in reducing losses from extreme events. Hydrologic modelling is the basis for development of these tools, which carries uncertainties that must be considered in decision-making. The objectives of this project were: i) coupling climatic, hydrologic and water insurance models to evaluate the use permit decision-making; ii) analyse sensitivity of performance indicators of a water risk insurance model through the application of different hydrologic models driven by climate change projections. The methodology was applied in donor basins of the Cantareira Water Supply System, which supplies water to an important metropolitan region that showed itself vulnerable to hydrologic extremes in the last years. The MHD-INPE and SWAT hydrologic models were applied, driven by the Eta- HadGEM2-ES climate model projections to characterize the future hydrologic regime in the region and also to compare the structure, performances and gaps of the models. Structural differences are most likely the greater responsible for the results differences, though no result could be identified as \"more certain\". With the hydrologic models outputs fitted the the Gumbel extreme values distribution, a proposed insurance fund simulator, MTRH-SHS, was run with 100 equiprobable scenarios of 50-year annual low-flow events to calculated an optimized premium capable of paying all indeminities of hydrologic drought. Besides the future hydrologic regimes, water demand scenarios were also tested. The optimized premiums were compared to the local GDP to assess the apparent affordability of the insurance, with some premium representing up to 0.54% of local GDP, but in the water resources management framework, the decision should be made collectively by several actors within the basin's committee.
Recentes estiagens fazem reconsiderar a necessidade de aperfeiçoar critérios de outorga de água no Brasil, especialmente em bacias com conflitos pelo uso da água. Seguros (transferência de risco) são importante ferramenta de adaptação. Contudo, no Brasil ainda não há metodologia consolidada que adapte esta técnica para auxiliar o instrumento de outorga de recursos hídricos. Ainda, não há metodologia de seguros hídricos com análise de incertezas, complementando sua efetividade ao reduzir os prejuízos advindos de eventos extremos. Modelos hidrológicos são a base de desenvolvimento destas ferramentas e carregam incertezas que devem ser integralizadas nos processos de decisão. Os objetivos deste projeto foram: i) acoplar modelos: climático, hidrológico e de seguros hídricos para a avaliação do processo de decisão de outorga; ii) realizar análise de sensibilidade dos indicadores de desempenho de modelo de seguros hídricos com diferentes modelos hidrológicos sob cenários de mudanças do clima. A metodologia foi aplicada nas bacias doadoras do Sistema Cantareira, que abastece importante região metropolitana e mostrou-se vulnerável a extremos hidrológicos nos últimos anos. Os modelos hidrológicos MHD-INPE e SWAT foram aplicados, forçados pelas projeções climáticas do modelo Eta-HadGEM2-ES a fim de caracterizar o regime hidrológico future na região, assim como comparar a estrutura, diferenças e performances dos modelos hidrológicos. As diferenças estruturais são provavelmente as maiores responsáveis pela diferença nos resultados, embora não seja possível apontar um modelo "melhor" que o outro. As saídas dos modelos foram ajustadas na distribuição de Gumbel e utilizada no modelo proposto de simulação de fundo de seguros, MTRH-SHS, rodado com 100 séries equiprováveis de 50 anos de eventos mínimos anuais. A cada série um prêmio otimizado é calculado para cobrir todas as indenizações de seca hidrológica. Além das projeções hidrológicas, cenários de demanda foram testados. Os prêmios otimizados foram comparados com o PIB local para demonstrar a viabilidade em implementar o seguro. Os valores representam até 0.54% do PIB local em um dos casos, mas na gestão de recursos hídricos, a decisão final pela implementação deve ser feita no âmbito do comitê de bacias por múltiplos atores.

Arizona like many other semi-arid regions in the world is facing a suite of policy issues that stem from water scarcity and security of supply issues intersecting with growing and competing water demands. A vexing issue in southern Arizona has been the preservation of riparian habitat. The study of environmental economics provides researchers with techniques to estimate the value of natural resources, such as riparian habitat, to level the playing field in policy discussions on development and water management. In Appendices B-D results from two hedonic property analyses suggest that homebuyers, one of the main consumers of riparian habitat in urban areas, have preferences for greener and higher condition riparian habitat and furthermore that they are willing to pay property premiums to benefit from this resource. There is also some evidence that riparian habitat conservation and restoration can be self-financing. The economics of another water using sector in the state, the recreation sector, specifically winter-based recreation, is assessed in Appendix E. The analysis finds that although ski areas in Arizona are subject to large inter-year variability in terms of snowfall and season length that snowmaking adaptations, a technology that is water-intensive, is financially feasible in the medium term as a climate variability and climate change adaptation. Nevertheless, ski areas in the state are likely to face increased financial pressures if climate change scenarios are realized and will have to implement other adaptation strategies to remain viable. Finally, water competition in the state between Indian and non-Indian users and the techniques used to dispel such tensions, namely water settlements, are discussed in Appendix F. The research finds that settlements offer opportunities for win-win agreements between the settling tribe and other water users in the same watersheds and for the introduction of new water supply management tools that benefit signatory and non-signatory parties alike.

Water trading and water markets have been listed by leading climate change organizations as a possible tool for climate change adaptation. Experience with water trading exists in many places in the world, and three of the most well-known and widely-studied markets for water rights are found in the Western United States, Chile, and Australia's Murray-Darling Basin. While the body of literature on the performance of these markets is extensive, few papers relate the experiences of these three countries to adaptation as of yet. This thesis seeks to report on the outcomes of water markets in three cases with special attention to the following adaptation questions: Can water markets be a tool to address increasing variability in water supply; and what are the necessary environmental, political, and historic conditions for a market to be successful in allocating water resources under situations of scarcity? The experiences of these three cases yield the following conclusions about the use of water markets in climate change adaptation: the degree of existing infrastructure for water storage and transportation must be considered in the implementation of markets; water markets must be continually revised to internalize local third party effects; transaction costs must be minimized if markets are to serve increased short-term variability in water supply; sustainable outcomes are most readily met when markets approximate “cap-and-trade” programs; and the involvement of local institutions in market design will support market activity and the achievement of localized adaptation goals.

Water security is becoming an increasing concern for communities in the southwestern United States. Projected decreases in water availability due to climate change combined with increased demands from a rapidly growing population have many concerned about the sustainability of the water supply in coming years. As water availability becomes an increasing concern, greater efficiencies must be made to increase the resilience of the water supply system. This dissertation analyzes the efforts of Tucson, Arizona households to conserve water during the hottest and driest decade in the city's recorded history, between 2000 and 2009. This study utilizes survey data to statistically examine the motivations for household adoption of five conservation methods: rainwater harvesting systems, graywater systems, xeriscaping, high-efficiency devices and volunteerism for public water conservation projects. Following the statistical analysis, interviews were conducted with participants to provide further context for analyzing the results. This mixed method approach reveals that drought alone did little to directly encourage household water conservation over the decade. However, public water conservation initiatives that were launched during the decade made a significant contribution to increasing household water conservation. Households consistently cited a desire for more information about the implications of the current drought status as well as additional information about their individual household's water use.

Der hydrologische Kreislauf versorgt die Menschheit mit Wasserressourcen, die für ihr Wohlergehen unabdingbar sind. Ziel dieser Arbeit ist es, das Verständnis über klimabedingte Veränderungen des hydrologischen Kreislaufs zu verbessern, wie diese die Verfügbarkeit von Wasserressourcen in der Zukunft beeinflussen und welche Möglichkeiten bestehen, den Druck auf die verfügbaren Wasserressourcen durch Verringerung des anthropogenen Wasserverbrauchs zu reduzieren. Diese Dissertation zeigt, dass der Klimawandel eine große Bedrohung für die Wasserversorgung der zukünftigen Bevölkerung darstellt. Durch Begrenzung des Anstiegs der globalen Mitteltemperatur auf 2 K oder sogar 1,5 K über das vorindustrielle Niveau können gravierende negative Auswirkungen auf die Wasserverfügbarkeit jedoch weitgehend vermieden werden. Dennoch wären einige Regionen wie der Mittelmeerraum "eher wahrscheinlich" von schwerwiegenden hydrologischen Veränderungen betroffen, und in großen Teilen der Welt könnten negative Auswirkungen auf die Wasserverfügbarkeit aufgrund der großen Unsicherheiten in den Projektionen nicht ausgeschlossen werden. Bei der Untersuchung der Nachfrageseite liegt der Schwerpunkt auf der Wassernutzung in der Tierproduktion. Diese Dissertation schätzt den gegenwärtigen Wasserverbrauch für die Produktion von Tierfutter auf 4666 km3/yr (44 % des gesamten landwirtschaftlichen Wasserverbrauchs). Große Verbesserungen der Wasserproduktivität können bei Schweinen und Geflügel durch Verbesserungen sowohl in der Futtermittelproduktion als auch in der Tierhaltung erzielt werden. Bei Wiederkäuern liegt das größte Potenzial in der Verbesserung der Tierhaltung. Allerdings geht eine effizientere Futterverwertung bei Wiederkäuern, die durch erhöhte Beigabe von Kraftfutter erzielt wird, mit einem erhöhten Wasserbedarf für die Produktion des Futters einher. Dadurch ist die Verbesserung der Wasserproduktivität bei Wiederkäuern begrenzt.
The hydrological cycle provides humanity with water resources that are essential for its well-being. The aim of this thesis is to advance the understanding of climate-related changes in the hydrological cycle, how they will affect the availability of water resources in the future, and what opportunities exist to reduce anthropogenic water use to lower the pressure on water resources. This thesis demonstrates that climate change is a large threat to freshwater supply for future populations. Limiting the increase in global mean temperature to 2 K or even 1.5 K above pre-industrial levels can mitigate most of the severe negative impacts on water resources. However, some regions such as the Mediterranean would still ‘more likely than not’ be affected by severe hydrological change, and in large parts of the world, negative impacts on water availability could not be ruled out due to the large uncertainties in the projections. On the demand side, the focus is on water use in the livestock sector. This thesis estimates that about 4666 km3/yr (44 % of total agricultural water use) are currently used for feed production for the livestock sector. Large improvements in livestock water productivity can be achieved for pigs and poultry by improvements in feed production and livestock rearing alike. For ruminants, the largest potential lies in improving livestock management. However, improving the feed use efficiency of ruminants through increased supplementation with forage crops comes at the cost of increased water requirements to produce the feed. This limits the potential for improving livestock water productivity in ruminant production.

Water resources, in terms of quantity and quality, are significantly influenced by environmental changes, especially by climate and land use changes. The main objective of the present study is to project climate change impacts on the seasonal dynamics of water fluxes, spatial changes in water balance components as well as the future flood and low flow conditions in Germany. This study is based on the modeling results of the process-based eco-hydrological model SWIM (Soil and Water Integrated Model) driven by various regional climate scenarios on one hand. On the other hand, it is supported by statistical analysis on long-term trends of observed and simulated time series. In addition, this study evaluates the impacts of potential land use changes on water quality in terms of NO3-N load in selected sub-regions of the Elbe basin. In the context of climate change, the actual evapotransipration is likely to increase in most parts of Germany, while total runoff generation may decrease in south and east regions in the scenario period 2051-2060. Water discharge in all six studied large rivers (Ems, Weser, Saale, Danube, Main and Neckar) would be 8 – 30% lower in summer and autumn compared to the reference period (1961 – 1990), and the strongest decline is expected for the Saale, Danube and Neckar. The 50-year low flow is likely to occur more frequently in western, southern and central Germany after 2061 as suggested by more than 80% of the model runs. The current low flow period (from August to September) may be extended until the late autumn at the end of this century. Higher winter flow is expected in all of these rivers, and the increase is most significant for the Ems (about 18%). No general pattern of changes in flood directions can be concluded according to the results driven by different RCMs, emission scenarios and multi-realizations. An optimal agricultural land use and management are essential for the reduction in nutrient loads and improvement of water quality. In the Weiße Elster and Unstrut sub-basins (Elbe), an increase of 10% in the winter rape area can result in 12-19% more NO3-N load in rivers. In contrast, another energy plant, maize, has a moderate effect on the water environment. Mineral fertilizers have a much stronger effect on the NO3-N load than organic fertilizers. Cover crops, which play an important role in the reduction of nitrate losses from fields, should be maintained on cropland. The uncertainty in estimating future high flows and, in particular, extreme floods remain high due to different RCM structures, emission scenarios and multi-realizations. In contrast, the projection of low flows under warmer climate conditions appears to be more pronounced and consistent. The largest source of uncertainty related to NO3-N modelling originates from the input data on the agricultural management.
Wasserressourcen werden in Quantität und Qualität von Veränderungen in der Umwelt, insbesondere von Änderungen des Klimas und der Landnutzung, in signifikantem Maße beeinflusst. In dieser Arbeit wurden die Auswirkungen von Klimavariabilität und Klimawandel auf die Wasserressourcen und Extremereignisse wie Hoch- und Niedrigwasser in Deutschland untersucht. Die Analyse erfolgte auf der einen Seite modellgestützt, wobei die Ergebnisse aus verschiedenen regionalen Klimamodellen durch ein ökohydrologisches Modell in Änderungen in den hydrologischen Prozessen transformiert wurden, zum anderen aber auch datengestützt, z.B. durch die statistische Interpretation von beobachteten und simulierten Zeitreihen. Zusätzlich wurden die Auswirkungen von Landnutzungsänderungen auf Umsatz von Stickstoff in der Landschaft und im Wasser untersucht, wobei dasselbe ökohydrologische Modell zum Einsatz kam. Im Rahmen des Klimawandels wird zur Mitte dieses Jahrhunderts die aktuelle Evapotranspiration in den meisten Teilen Deutschlands mit großer Wahrscheinlichkeit zunehmen. Die täglichen Abflussmengen der fünf größten Flussgebiete in Deutschland (Ems, Weser, Elbe, Obere Donau und Rhein) werden dieser Untersuchung zur Folge im Sommer und Herbst um 8%-30% geringer sein als in der Referenzperiode (1961-1990). 80% der Szenariensimulationen stimmen darin überein, dass die 50-jährigen Niedrigwasserereignisse zum Ende dieses Jahrhunderts mit großer Wahrscheinlichkeit häufiger in den westlichen, den südlichen und den zentralen Teilen Deutschlands auftreten werden. Die gegenwärtige Niedrigwasserperiode (August-September) könnte sich zudem dann bis in den späten Herbst ausweiten. Für alle Flüsse werden höhere Winterabflüsse erwartet, wobei diese Zunahme für die Ems am stärksten ausfällt (ca. 18%). Mit größerer Unsicherheit sind dagegen die Aussagen zur Entwicklung der Hochwasser behaftet. Aus den Ergebnissen, die durch unterschiedliche regionale Klimamodelle und Szenarien getrieben wurden, kann jedoch kein allgemeingültiges Muster für die Änderungen der 50-jährigen Hochwässer ausgemacht werden. Eine optimierte Landnutzung und ein optimiertes Landmanagement sind für die Reduzierung der NO3-Einträge in die Oberflächengewässer essentiell. In den Einzusgebieten der Weißen Elster und der Unstrut (Elbe) kann eine Zunahme von 10% in der Anbaufläche von Winterraps zu einer 12-19% höheren NO3 Fracht führen. Mais, eine weitere Energiepflanze, hat hingegen einen mäßigeren Effekt auf die Oberflächengewässer. Die Höhe der Gabe von mineralischen Düngern beeinflußt zudem in starkem Maße die Nitratbelastung von Flüssen. Zwischenfrüchte können den NO3-Austrag im Sommer zusätzlich erheblich verringern. Insgesamt bleibt die Unsicherheit in der Vorhersage von Spitzenabflüssen und im Besonderen von Extrem-Hochwässern als Folge unterschiedlicher regionaler Klimamodelle, Emissionsszenarien und Realisationen sehr hoch. Im Gegensatz dazu erscheinen die Projektionen zu den Niedrigwasserereignissen unter wärmeren Bedingungen sehr viel deutlicher und einheitlicher. Die größte Unsicherheit in der Modellierung von NO3 dagegen sind die Eingangsdaten z.B. für das lokale landwirtschaftliche Management.

Climate change is altering hydrological processes with varying degrees in various regions of the world. This research work investigates the possible impacts of climate change on water resource and Hydropower production potential in central and southern Africa. The Congo, Zambezi and Kwanza, Shire, Kafue and Kabompo basins that lie in central and southern Africa are used as case studies. The review of climate change impact studies shows that there are few studies on impacts of climate change on hydropower production. Most of these studies were carried out in Europe and north America and very few in Asia, south America and Africa. The few studies indicate that southern Africa would experience reduction in precipitation and runoff, consequently reductions in hydropower production. There are no standard methods of assessing the resulting impacts. Two approaches were used to assess the impacts of climate change on water resources and hydropower. One approach is lumping changes on country or regional level and use the mean climate changes on mean annual flows as the basis for regional changes in hydropower production. This is done to get an overall picture of the changes on global and regional level. The second approach is a detailed assessment process in which downscaling, hydrological modelling and hydropower simulations are carried out. The possible future climate scenarios for the region of central and southern Africa depicted that some areas where precipitation are likely to have increases while other, precipitation will reduce. The region northern Zambia and southern Congo showed increases while the northern Congo basin showed reductions. Further south in southern African region, there is a tendency of decreases in precipitation. To the west, in Angola, inland showed increases while towards the coast highlighted some decreases in precipitation. On a global scale, hydropower is likely to experience slight changes (0.08%) due to climate change by 2050. Africa is projected for a slight decrease (0.05%), Asia with an increase of 0.27%, Europe a reduction up to 0.16% while America is projected to have an increase of 0.05%. In the eastern African region, it was shown that hydropower production is likely to increase by 0.59%, the central with 0.22% and the western with a 0.03%. The southern, and northern African regions were projected to have reductions of 0.83% and 0.48% respectively. The basins with increases in flow projections have a slight increase on hydropower production but not proportional to the increase in precipitation. The basins with decreases had even high change as the reduction was further increased by evaporation losses. The hydropower production potential of most of southern African basins is likely to decrease in the future due to the impact of climate change while the central African region shows an increasing trend. The hydropower system in these regions will be affected consequently. The hydropower production changes will vary from basin to basin in these regions. The Zambezi, Kafue and Shire river basins have negative changes while the Congo, Kwanza and Kabompo river basins have positive changes. The hydropower production potential in the Zambezi basin decreases by 9 - 34%. The hydropower production potential in the Kafue basin decreases by 8 - 34% and the Shire basin decreases by 7 - 14 %. The southern region will become drier with shorter rainy seasons. The central region will become wetter with increased runoff. The hydropower production potential in the Congo basin reduces slightly and then increases by 4% by the end of the century. The hydropower production potential in the Kwanza basin decreases by 3% and then increases by 10% towards the end of the century and the Kabompo basin production increases by 6 - 18%. It can be concluded that in the central African region hydropower production will, in general, increase while the southern African region, hydropower production will decrease. In summary, the analysis has shown that the southern African region is expected to experience decreases in rainfall and increases in temperature. This will result in reduced runoff. However the northern part of southern Africa is expected to remain relatively the same with slight increase, moving northwards towards the central African region where mainly increases have been registered. The southern African region is likely to experience reductions up to 5 - 20% while the central African region is likely to experience an increase in runoff in the range of 1 - 5%. Lack of data was observed as a critical limiting factor in modelling in the central and southern Africa region. The designs, plans and operations based on poor hydrological data severely compromise performance and decrease efficiency of systems. Climate change is expected to change these risks. The normal extrapolations of historical data will be less reliable as the past will become an increasingly poor predictor of the future. Better (observed) data is recommended in future assessments and if not better tools and methods for data collection/ should be used. Future designs, plans and operations should include and aspect of climate change, if the region is to benefit from the climate change impacts.

Potential impacts of climate change on the water resources of the Pacific Northwest of the United States include earlier peak runoff, reduced summer flows, and increased winter flooding. An increase in impervious surfaces, accompanied by urban development, is known to decrease infiltration and increase surface runoff. Alterations of flow amount and pathways can alter water quality through dilution or flushing effects. I used the United States Environmental Protection Agency's Better Assessment Science Integrating Point and Nonpoint Sources (BASINS) modeling system to investigate the relative importance of future climate change and land use change in determining the quantity and quality of freshwater resources in north western Oregon's Tualatin River Basin. The basin was chosen for this study because it is rapidly urbanizing and representative of other low-elevation basins in the region. BASINS models were calibrated and validated using historic flow and water quality data from 1991 to 2006. The goodness-of-fit for the calibrated hydrology, suspended sediment, and orthophosphate models was high, with coefficients of determination ranging from 0.72 to 0.93 in the calibration period. The calibrated models were run under a range of eight downscaled climate change, two regional land use change, and four combined scenarios. Results included average increases in winter flows of ten percent, decreases in summer flows of thirty-seven percent, and increases in fifth percentile flows of up to eighty percent as a result of climate change in the Tualatin River Basin. For land use change, the results included an increase in annual flows of twenty-one percent for the development-oriented scenario and a decrease of sixteen percent for the conservation-oriented scenario, with amplified changes at the sub-basin scale, including more than doubled winter flow. For combined scenarios of climate change and urban development, there is a projected increase in winter flows of up to seventy-one percent and decrease in summer flows of up to forty-eight percent. Changes in suspended sediment and orthophosphate loading broadly tracked hydrological changes, with winter increases and summer decreases. The results are relevant to regional planners interested in the long-term response of water resources to climate change and land use change at the basin scale.

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Hardly a week goes by without a major news story related to the global and local environment. Every one has heard of global warming and the climate changes being felt as average temperatures rise in most parts of the world. At the state and local levels we have all heard about the dwindling water resources how these might limit the future growth of Arizona. Without electrical energy (electricity) to keep cool and pump water life in our arid and semi-arid climates would become unbearable. What we often do not realize is that electricity production, water resources and global warming are all interconnected. By becoming more aware of the global issues that are confronting us, we will also become more sensitive to local and individual concerns. And by acting individually and locally we can have a positive impact in controlling the global issues that we all face. In the first page, this Bulletin hopes to bring renewed awareness to AZ residents and their need to conserve electricity in their daily lives by connecting their individual actions to local, state and global effects. The following topics will be introduced: Global Warming and its Local Impact Arizona Water Resources Electricity Production in Arizona The second page will be devoted to providing energy saving tips at home by providing a primer of basic electricity concepts, how to measure electricity usage at home, examples of wasted electricity, and tips on how to reduce electricity use at home with little effort or discomfort.

The energy-food-water nexus is of fundamental significance in the goal towards sustainable development. The Zambezi River Basin, situated in southern Africa, currently offers vast water resources for social and economic development for the eight riparian countries that constitute the watershed. Hydropower generation and agriculture are the main water users in the watershed with great potential of expansion, plus urban water supply materialise the largest consumers of this resource. Climate and social changes are pressuring natural resources availability which might show severe alterations due to enhances in the variability of precipitation patterns. This study thus examines the present water resources in the transboundary basin and executes low and high case future climate change incited scenarios in order to estimate the possible availability of water for the period 2060-2099 by performing water balances. Along with projections of water accessibility, approximations on water demands from the main consumer sectors are performed. Results show an annual positive balance for both projected scenarios due to an increase in precipitation during the wet season. They also present a severe increase in overall temperature for the region contributing to a strong increase in evapotranspiration. Projections further inform of an acute increase in water demand for irrigation and urban supply, nevertheless, evaporation from hydropower storage reservoirs continues to exceed water with drawals in volume. Acknowledging the uncertainty contained in this report allows a broader offer of recommendations to be considered when planning for future developments with a sustainable approach. Improvement of hydrological collection systems in the Zambezi basin is indispensable to accomplish a deeper and cohesive understanding of the watershed waterresources. Cooperation and knowledge communication between riparian countries seems to be the right beginning towards social and economic sustainable development for the Zambezi River Basin.

Water management in the Washington Metropolitan Area (WMA) is challenging because the system relies on flow in the Potomac river, which is largely uncontrolled and augmented by the Jennings-Randolph reservoir, located 9-10 days travel time upstream. Given this lag, release decisions must be made collectively by federal, state and local stakeholders amid significant uncertainty, well in advance of accurate weather forecasts with no ability to recapture excess releases. Adding to this uncertainty are predictions of more severe and sporadic rainfall over the next century, caused by anthropogenic climate change. This study aims to evaluate the potential impacts of demand and climate change on the WMA water supply system, identifying changes in system vulnerability over the next century and developing adaptation strategies designed to maximize efficiency in a nonstationary system. A daily stochastic streamflow generation model is presented, which succesfully replicates statistics of the historical streamflow record and can produce climate-adjusted daily time-series. Using these time series, a multi-objective evolutionary algorithm is used to optimize the system's operating rules given current and future conditions, considering several competing objectives.
Ph. D.

Both natural and anthropogenic climate change are driven by forcings that interact and result in hydroclimatic changes that alter ecosystems and natural resources at different temporal and spatial scales. Accordingly, changes within regions (i.e. individual points to large watersheds) may differ from patterns observed at sub-continental to global scales, thus necessitating the generation of point- to region-specific, cross-scale hydroclimatic data to elucidate important drivers of observed changes, and provide information at scales relevant to resource managers. Herein, we use the Northern U.S. Rocky Mountains as a study region to explore 1) the covariability between observed hydrologic and climatic changes, 2) the nature of changes occurring at the scale of days to decades, and 3) the ocean-atmosphere teleconnections operating at continental- to hemispheric-scales underlying the observed regional patterns of hydroclimatic variability. We then expand the scope of study to include the entire central North American Cordillera to investigate changes in winter precipitation (i.e. snowpack) spanning the last millennia+, with a focus on the spatial and temporal coherence of events from the medieval climatic anomaly to present. To accomplish this we utilize the full suite of hydroclimatic observational records in conjunction with proxy records of snowpack derived from a distributed network of tree-ring chronologies.Results from observational records in the Northern Rockies show important changes have occurred in the frequency and means of biophysically important temperature thresholds, and that recent changes appear greater in magnitude at the mid- to high-elevations. These changes, coupled with interannual- to interdecadal-scale moisture variability driven by ocean-atmosphere teleconnections, are shown to be strong controls on the timing and amount of regional snowpack and streamflow. Across the cordillera, tree-ring based records of snowpack show that before 1950, the region exhibited substantial inter-basin variability in snowpack, even during prolonged droughts and pluvials, marked by a predominant north-south dipole associated with Pacific variability. Snowpack was unusually low in the Northern Rocky Mountains for much of the 20th century and over the entire cordillera since the 1980s; heralding a new era of snowpack declines entrained across all major headwaters in western North America.

Revised; Originally Published: 2008
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Climate change is affecting Arizona's Water Resources adversely and water use is linked to energy consumption. This publication discusses the effects of global warming on the environment and provides tips on how to conserve electricity at home.

The Isle of Wight is a small island off the south coast of England. As with much of the developed world the island's water supply is effectively universal, and is secure against all but the worst droughts. However, the frequency and magnitude of future droughts are anticipated to be worse than those on historic record due to the influence of climate change. While preparations against future water shortage are important, such measures must be efficient in terms of cost and abstractions due to pressure to keep costs to consumers low and minimize the impact on the environment. The development of a representation of future climate change which balances precision with the need to fully represent uncertainty is fundamental to water planning where such efficiency is required. In this, the Isle of Wight can also represent a useful case study for climate change forecasting methodology applicable to the wider UK and beyond. A second challenge is presented by the geological and hydrological complexity of the island. Erosional and tectonic forces have altered the island's geology and, as an island, a dense network of small catchments determines drainage to sea. This Thesis presents a complete modelling process for the assessment of changing water resource availability in such a case of high heterogeneity in which few assumptions can be made regarding hydrological processes. Empirical techniques are employed to determine functional groundwater units and detect correlations between river flows and groundwater elevations. Projections of climate change are reconciled against the distribution of historic observations. Finally, a modified drought index is introduced, allowing the impact of changed drought distributions on multiple water sources to be compared with historic events.

Water resource planning and management practices in the southeastern United States may be vulnerable to climate change. This vulnerability has not been quantified, and decision makers, although generally concerned, are unable to appreciate the extent of the possible impact of climate change nor formulate and adopt mitigating management strategies. Thus, this dissertation aims to fulfill this need by generating decision worthy data and information using an integrated climate change assessment framework. To begin this work, we develop a new joint variable spatial downscaling technique for statistically downscaling gridded climatic variables to generate high-resolution, gridded datasets for regional watershed modeling and assessment. The approach differs from previous statistical downscaling methods in that multiple climatic variables are downscaled simultaneously and consistently to produce realistic climate projections. In the bias correction step, JVSD uses a differencing process to create stationary joint cumulative frequency statistics of the variables being downscaled. The functional relationship between these statistics and those of the historical observation period is subsequently used to remove GCM bias. The original variables are recovered through summation of bias corrected differenced sequences. In the spatial disaggregation step, JVSD uses a historical analogue approach, with historical analogues identified simultaneously for all atmospheric fields and over all areas of the basin under study. In the second component of the integrated assessment framework, we develop a data-driven, downward hydrological watershed model for transforming the climate variables obtained from the downscaling procedures to hydrological variables. The watershed model includes several water balance elements with nonlinear storage-release functions. The release functions and parameters are data driven and estimated using a recursive identification methodology suitable for multiple, inter-linked modeling components. The model evolves from larger spatial/temporal scales down to smaller spatial/temporal scales with increasing model structure complexity. For ungauged or poorly-gauged watersheds, we developed and applied regionalization hydrologic models based on stepwise regressions to relate the parameters of the hydrological models to observed watershed responses at specific scales. Finally, we present the climate change assessment results for six river basins in the southeastern United States. The historical (baseline) assessment is based on climatic data for the period 1901 through 2009. The future assessment consists of running the assessment models under all IPCC A1B and A2 climate scenarios for the period from 2000 through 2099. The climate assessment includes temperature, precipitation, and potential evapotranspiration; the hydrology assessment includes primary hydrologic variables (i.e., soil moisture, evapotranspiration, and runoff) for each watershed.

The application of water resources planning models to semi-arid or arid areas is expected to be particularly challenging because of the high variability of rainfall and streamflow, highly limited historic observations, sparse rain gauge and flow networks with significant periods of missing rainfall and potential data quality issues. These lead to high uncertainty in rainfall and hydrological models which need to be explicitly represented in model predictions. These uncertainties are expected to increase when considering future predictions associated with the effects of climate change. This has presented an opportunity for this thesis to develop a framework of uncertainty analysis in hydrological and water resources modelling. The framework consists of multi-site continuous time stochastic rainfall model to (1) identify suitable rainfall predictors, (2) infill the missing values in the historic rainfall data, (3) extend the limited rainfall observations, and (4) generate rainfall under climate change scenarios by downscaling global climate models outputs. The stochastically infilled rainfall data allows calibration of a hydrological model under input uncertainty. The rainfall model together with the uncertain hydrological model are then used to generate multiple realisations of reservoir inflows over a 100-year period, first assuming a stationary climate and secondly under a changed climate. This framework is applied to the upper Limpopo basin in Botswana, using 25 years of observed daily rainfall and flow data for model calibration. A Generalised Linear Model was used for the rainfall and a semi-distributed version of the IHACRES model was used for the hydrology. A proposed 382 Mm3 reservoir at the outlet of this basin, which is part of Botswana‘s national water resource strategy, is re-evaluated in light of the extended inflow data and the estimated uncertainty. Analysis within this thesis revealed that the effects of data and model parameter uncertainty on water resources planning models can be high, and thus should not be ignored. The thesis advocates a shift from deterministic to stochastic ways of infilling missing rainfall values, and for consideration of hydrological model uncertainty, climate model and climate scenario uncertainties. Given the high uncertainty in the semi arid case study, priority areas can be identified, which may include acquiring and expanding the gauge networks, building efficient and robust data collection processing and achieving to improve the existing database so as to support and enable quality research.

Significant challenges in water resources management arise because of the ever-increasing pressure on the world’s heavily exploited and limited water resources. These stressors include demographic growth, intensification of agriculture, climate variability, and climate change. These challenges to water resources are usually tackled using a top-down approach, which suffers from many limitations including the use of a limited set of climate change scenarios, the lack of methodology to rank these scenarios, and the lack of credibility, particularly on extremes. The bottom-up approach, the recently introduced approach, reverses the process by assessing vulnerabilities of water resources systems to variations in future climates and determining the prospects of such wide range of changes. While it solves some issues of the top-down approach, several issues remain unaddressed. The current project seeks to provide end-users and the research community with an improved version of the bottom-up framework for streamlining climate variability into water resources management decisions. The improvement issues that are tackled are a) the generation of a sufficient number of climate projections that provide better coverage of the risk space; b) a methodology to quantitatively estimate the plausibility of a future desired or undesired outcome and c) the optimization of the size of the projections pool to achieve the desired precision with the minimum time and computing resources. The results will hopefully help to cope with the present-day and future challenges induced mainly by climate. In the first part of the study, the adequacy of stochastically generated climate time series for water resources systems risk and performance assessment is investigated. A number of stochastic weather generators (SWGs) are first used to generate a large number of realizations (i.e. an ensemble of climate outputs) of precipitation and temperature time series. Each realization of the generated climate time series is then used individually as an input to a hydrological model to obtain streamflow time series. The usefulness of weather generators is evaluated by assessing how the statistical properties of simulated precipitation, temperatures, and streamflow deviate from those of observations. This is achieved by plotting a large ensemble of (1) synthetic precipitation and temperature time series in a Climate Statistics Space (CSS), and (2) hydrological indices using simulated streamflow data in a Risk and Performance Indicators Space (RPIS). The performance of the weather generator is assessed using visual inspection and the Mahalanobis distance between statistics derived from observations and simulations. A case study was carried out using five different weather generators: two versions of WeaGETS, two versions of MulGETS and the k-nearest neighbor weather generator (knn). In the second part of the thesis, the impacts of climate change, on the other hand, was evaluated by generating a large number of representative climate projections. Large ensembles of future series are created by perturbing downscaled regional climate models’ outputs with a stochastic weather generator, then used as inputs to a hydrological model that was calibrated using observed data. Risk indices calculated with the simulated streamflow data are converted into probability distributions using Kernel Density Estimations. The results are dimensional joint probability distributions of risk-relevant indices that provide estimates of the likelihood of unwanted events under a given watershed configuration and management policy. The proposed approach offers a more complete vision of the impacts of climate change and opens the door to a more objective assessment of adaptation strategies. The third part of the thesis deals with the estimation of the optimal size of SWG realizations needed to calculate risk and performance indices. The number of realizations required to reach is investigated utilizing Relative Root Mean Square Error and Relative Error. While results indicate that a single realization is not enough to adequately represent a given stochastic weather generator, results generally indicate that there is no major benefit of generating more than 100 realizations as they are not notably different from results obtained using 1000 realizations. Adopting a smaller but carefully chosen number of realizations can significantly reduce the computational time and resources and therefore benefit a larger audience particularly where high-performance machines are not easily accessible. The application was done in one pilot watershed, the South Nation Watershed in Eastern Ontario, yet the methodology will be of interest for Canada and beyond. Overall, the results contribute to making the bottom-up more objective and less computationally intensive, hence more attractive to practitioners and researchers.

Climate change is affecting several environmental factors and together with socio-economic changes put high pressure on water resources. Climate change manifest itself through increasing temperatures and changes in precipitation patterns and intensities, with knock-on effects on hydrologically-relevant parameters such as water flows, evapotranspiration rates, glacial melt etcetera, all of which have already been observed in the recent past and are predicted to continue in the future. India has the world’s second largest population. The majority of the population live in rural areas and are dependent on climate sensitive sectors such as agriculture, forestry and fishery. The Indian-Himalayan region supplies 600 million people with water, thus future climate change impacts on the hydrological cycle in the area are of great interest and concern. In order to cope with these predicted impacts, there is a need to adapt to the changing climate. This study combines data analyses from a hydro-climatic modelling campaign (carried out externally to this thesis), a literature review on climate change effects on agriculture and opportunities to adapt to these effects and participatory methods bringing stakeholders and scientists together in order to co-create adaptation options that are suitable to minimise short- and long-term climate change impacts on the water flows of the Ganges and hence agriculture in the region. The study concentrates on two districts in the Indo-Gangetic Plain that are characterised by their high dependency on the farming sector: Uttarkashi (upstream Ganges, Uttarakhand) and Patna (downstream Ganges, Bihar). The analysis of hydro-climatic data based on a modelling campaign focussed on three climate variables that are of significance for agriculture: precipitation, temperature, and evapotranspiration. To characterise future climates, four climate change projections based on IPCC’s representative concentrations pathways (RCPs) have been chosen: RCP 2.6, RCP 4.5, RCP 6.0, and RCP 8.5. The impacts of these scenarios on the above listed three climate variables are analysed over three time periods: 2011-2040, 2041-2070, and 2071-2100, with a special focus on the monsoon months from June to October, as this is the main crop (rice) growing season. The results from the hydro-climatic modelling indicate that the maximum, minimum, and average temperature will be increasing over the next century in both districts. An increase in evapotranspiration can be seen for both districts, with a few exceptions for RCP scenarios 2.6, 6.0 and 8.5 in April and May in Patna, and for all RCP scenarios in April, May and June in Uttarkashi. An increase in maximum and average precipitation can be seen for most RCP scenarios and future time periods (e.g. of exceptions in average precipitation: RCP 4.5 and 8.5 in June and July in the period 2011-2040) during the monsoon period in Patna. Similarly, in Uttarkashi maximum and average precipitation increases for all three time periods and RCP scenarios during the monsoon months of September and August (only for RCP scenarios 2.6 and 8.5). For the remaining months, the precipitation patterns show great variability for all scenarios and both regions. The literature review resulted in a table of adaptation options, where nine out of 63 were considered as transformational adaptation, and enabled identification of possible climate change impacts on agriculture in the two districts. The minimum temperature could result in more severe and intense hailstorms in the future for both districts. The increase in temperature could lead to a prolonged growing season in Uttarkashi, whilst the increase in average and maximum temperature in Patna could lead to heat-stress for the crops. Furthermore, the increase in average and maximum precipitation could lead to more severe and intense natural disasters e.g. landslides in Uttarkashi and floods in Patna. Moreover, the increase in average evapotranspiration combined with the decrease in average precipitation during some months could lead to an increasing need of irrigation. Two workshops were held in the region with the aim to bring together researchers and stakeholders (e.g. famers) in order to jointly discuss 1) the suitability of hydrological modelling data for preparing the agriculture sector to a changing climate, and 2) suggest suitable adaptation options based on researchers’ and stakeholders’ knowledge and experience. Information from the first workshop was obtained by a workshop report, whilst information from the second workshop was obtained from the author’s own participation. The result from the workshop showed that the farmers had several suggestions of suitable adaptation options e.g. implementation of irrigation system and improved access to credit. It also showed that the farmers already adapted to climate change e.g. usage of short- and long duration variations of rice and sowing date adjustment. The combination of these results informed the suggestions for adaptation options for the two districts, namely the development of disaster reduction plans and early warning systems for weather extremes, as well as a diversification of agriculture and more generally livelihoods. In addition, indirect adaptation measures suggested for both districts included insurance schemes against yield failure, improved access to credit schemes, and right/fair market prices. Specific measures for each district were also suggested e.g. heat-tolerant crops in Patna and implementation or irrigation systems in Uttarkashi.
Klimatförändringarna påverkar åtskilliga miljöfaktorer och tillsammans med socioekonomiska förändringar sätter de stort tryck på vattenresurser. Klimatförändringar manifesterar sig i stigande temperaturer och ändrade nederbördsmönster och nederbördsintensitet, med påföljande effekter på hydrologiskt relevanta parametrar så som vattenflöden, evapotranspirationsvärden, smältande glaciärer etcetera, vilka alla är effekter som redan observerats och är förutspådda att fortsätta under innevarande århundrande. Befolkningen i Indien är näst störst i världen. Större delen av befolkningen i Indien bor på landsbygden och är beroende av klimatkänsliga sektorer så som jordbruk, fiske och skogsbruk. Indiska Himalaya förser 600 miljoner människor med vatten, framtida effekter på den hydrologiska cykeln, orsakade av klimatförändringarna i området, är därför av största intresse. För att kunna hantera de framtida effekterna orsakade av klimatförändringarna är det viktigt att implementera klimatanpassningsstrategier. Den här studien kombinerar data analyser från en hydro-klimatisk modelleringskampanj (som är genomförd externt till det här arbetet), litteraturstudie över effekter på jordbruk orsakade av klimatförändringar och möjligheter att anpassa sig till dessa förändringar, samt involverar preferenser och kunskaper från intressenter inom det aktuella området för att kunna identifiera lämpliga klimatanpassningsstrategier. Studien har ett huvudfokus på klimatanpassning för jordbruksområden i två distrikt i Indien: Uttarkashi (uppströms Ganges, Uttarakhand) och Patna (nedströms Ganges, Bihar). Analysen av hydro-klimatisk data, baserad på en modelleringskampanj, fokuserar på tre klimatvariabler som är av betydelse för jordbrukssektor: nederbörd, temperatur, och evapotranspiration. För att kunna karakterisera framtida klimat har IPCCs fyra representativa koncentrationsvägar (RCPs) tagits hänsyn till: RCP 2.6, RCP 4.5, RCP 6.0, och RCP 8.5. Effekterna av dessa scenarier på de tre ovan listade klimatvariablerna är analyserade över tre framtida tidsperioder: 2011-2040, 2041-2070, 2071-2100, med ett speciellt fokus på monsunperioden från juni till oktober. Resultatet från analysen av hydro-klimatisk data indikerar en ökning under århundrandet i minimal, maximal, och genomsnittlig temperatur i båda distrikten. En ökning i evapotranspiration för båda distrikten kunde också identifieras, med några få undantag för RCP 2.6, 6.0 och 8.5 i april och maj i Patna, samt för alla RCP scenarier i april, maj och juni för Uttarkashi. Trender i nederbörd visar en ökning i maximal och genomsnittlig nederbörd för nästan alla scenarier under monsunperioden i Patna (exempel på scenarier där den genomsnittliga nederbörden inte ökar är RCP 4.5 och 8.5 i juni och juli under perioden 2011-2040). En ökning i maximal och genomsnittlig nederbörd identifierades i september för alla RCP scenarier och framtidsperioder, samt i augusti för RCP 2.6 och 8.5 i Uttarkashi. Kvarvarande månader visar på stor variabilitet i nederbörd för alla scenarier i båda distrikten. Litteraturstudien resulterade i en tabell med klimatanpassningsstrategier, där nio av 63 ansågs vara transformerande, samt identifierade möjliga effekter på jordbruket i de två distrikten orsakade av klimatförändringar. Ökningen i minimal temperatur kan leda till mer allvarliga och intensifierade hagelstormar i framtiden. Temperaturökningen kan i Uttarkashi leda till förlängd odlingssäsong medan ökningen i genomsnittlig och maximal temperatur kan leda till värmestress på grödorna i Patna. Vidare gäller att ökningen i maximal och genomsnittlig nederbörd kan leda till mer allvarliga naturkatastrofer i framtiden som exempelvis jordskred i Uttarkashi och översvämningar i Patna. Ökningen i evapotranspiration kombinerat med minskningen i genomsnittlig nederbörd under vissa månader skulle kunna leda till ett ökat bevattningsbehov. Två ”worskhops” anordnades i regionen med målet att sammanföra forskare och intressenter (exempelvis bönder) för att gemensamt diskutera 1) lämpligheten av användandet av hydrologiskt modellerad data för att förbereda jordbruket på klimatförändringar, och 2) föreslå lämpliga klimatanpassningsstrategier baserat på forskarnas och intressenternas kunskap och erfarenheter. Informationen från den första workshopen erhölls genom en workshoprapport, medan informationen i den andra workshopen erhölls genom författarens eget deltagande i workshopen. Resultatet från workshopen visade på att bönderna hade flertalet egna föreslag vad gäller lämpliga klimatanpassningsstrategier så som exempelvis implementerande av bevattningssystem och ökade kreditmöjligheter. Bönderna hade även börjat anpassa sig till klimatförändringar genom exempelvis ha lång- och korttids variationer av ris samt att de hade flyttat på datumet för sådden. Kombinationen av hydro-klimatisk data, litteratur och intressentpreferenser och kunskap möjliggjorde förslag på klimatanpassningsstrategier i de två distrikten. Strategier för att reducera skador på grödor och jordbruksmark orsakade av extrema händelser, varningssystem som varnar i ett tidigt skede, och diversifiering av försörjning är direkta klimatanpassningsstrategier som identifierades för båda distrikten. Försäkringslösningar, ökade kreditmöjligheter, och ett rättvist marknadspris var indirekta anpassningsstrategier som identifierats för båda distrikten. Även specifika anpassningsstrategier för respektive distrikt har identifierats, där exempelvis värme-tåliga grödor identifierades som viktigt för Patna och implementering av bevattningssystem identifierades som extra viktigt för Uttarkashi.