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Journal articles on the topic 'Hydrologic models – Orange river'

Author: Grafiati

Published: 4 June 2021

Last updated: 8 February 2022

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1

MacKellar, N. C., S. J. Dadson, M. New, and P. Wolski. "Evaluation of the JULES land surface model in simulating catchment hydrology in Southern Africa." Hydrology and Earth System Sciences Discussions 10, no. 8 (2013): 11093–128. http://dx.doi.org/10.5194/hessd-10-11093-2013.

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Abstract. Land surface models (LSMs) are advanced tools which can be used to estimate energy, water and biogeochemical exchanges at regional scales. The inclusion of a river flow routing module in an LSM allows for the simulation of river discharge from a catchment and offers an approach to evaluate the response of the system to variations in climate and land-use, which can provide useful information for regional water resource management. This study offers insight into some of the pragmatic considerations of applying an LSM over a regional domain in Southern Africa. The objectives are to iden

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2

Nikiforovskaya, V. S., and A. F. Voevodin. "Numerical models for calculating hydrologic processes in river and lake-river systems." Journal of Physics: Conference Series 894 (October 2017): 012135. http://dx.doi.org/10.1088/1742-6596/894/1/012135.

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3

Sperna Weiland, F. C., C. Tisseuil, H. H. Dürr, M. Vrac, and L. P. H. van Beek. "Selecting the optimal method to calculate daily global reference potential evaporation from CFSR reanalysis data for application in a hydrological model study." Hydrology and Earth System Sciences 16, no. 3 (2012): 983–1000. http://dx.doi.org/10.5194/hess-16-983-2012.

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Abstract. Potential evaporation (PET) is one of the main inputs of hydrological models. Yet, there is limited consensus on which PET equation is most applicable in hydrological climate impact assessments. In this study six different methods to derive global scale reference PET daily time series from Climate Forecast System Reanalysis (CFSR) data are compared: Penman-Monteith, Priestley-Taylor and original and re-calibrated versions of the Hargreaves and Blaney-Criddle method. The calculated PET time series are (1) evaluated against global monthly Penman-Monteith PET time series calculated from

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Guilpart, Etienne, Vahid Espanmanesh, Amaury Tilmant, and François Anctil. "Combining split-sample testing and hidden Markov modelling to assess the robustness of hydrological models." Hydrology and Earth System Sciences 25, no. 8 (2021): 4611–29. http://dx.doi.org/10.5194/hess-25-4611-2021.

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Abstract. The impacts of climate and land-use changes make the stationary assumption in hydrology obsolete. Moreover, there is still considerable uncertainty regarding the future evolution of the Earth’s climate and the extent of the alteration of flow regimes. Climate change impact assessment in the water sector typically involves a modelling chain in which a hydrological model is needed to generate hydrologic projections from climate forcings. Considering the inherent uncertainty of the future climate, it is crucial to assess the performance of the hydrologic model over a wide range of clima

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Shrestha, Rajesh R., Markus A. Schnorbus, and Alex J. Cannon. "A Dynamical Climate Model–Driven Hydrologic Prediction System for the Fraser River, Canada." Journal of Hydrometeorology 16, no. 3 (2015): 1273–92. http://dx.doi.org/10.1175/jhm-d-14-0167.1.

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Abstract Recent improvements in forecast skill of the climate system by dynamical climate models could lead to improvements in seasonal streamflow predictions. This study evaluates the hydrologic prediction skill of a dynamical climate model–driven hydrologic prediction system (CM-HPS), based on an ensemble of statistically downscaled outputs from the Canadian Seasonal to Interannual Prediction System (CanSIPS). For comparison, historical and future climate traces–driven ensemble streamflow prediction (ESP) was employed. The Variable Infiltration Capacity model (VIC) hydrologic model setup for

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Guo, Binbin, Jing Zhang, Tingbao Xu, et al. "Applicability Assessment and Uncertainty Analysis of Multi-Precipitation Datasets for the Simulation of Hydrologic Models." Water 10, no. 11 (2018): 1611. http://dx.doi.org/10.3390/w10111611.

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Hydrologic models are essential tools for understanding hydrologic processes, such as precipitation, which is a fundamental component of the water cycle. For an improved understanding and the evaluation of different precipitation datasets, especially their applicability for hydrologic modelling, three kinds of precipitation products, CMADS, TMPA-3B42V7 and gauge-interpolated datasets, are compared. Two hydrologic models (IHACRES and Sacramento) are applied to study the accuracy of the three types of precipitation products on the daily streamflow of the Lijiang River, which is located in southe

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Lian, Yanqing, I.-Chi Chan, Jaswinder Singh, Misganaw Demissie, Vernon Knapp, and Hua Xie. "Coupling of hydrologic and hydraulic models for the Illinois River Basin." Journal of Hydrology 344, no. 3-4 (2007): 210–22. http://dx.doi.org/10.1016/j.jhydrol.2007.08.004.

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8

Burdanowitz, Nicole, Lydie Dupont, Matthias Zabel, and Enno Schefuß. "Holocene hydrologic and vegetation developments in the Orange River catchment (South Africa) and their controls." Holocene 28, no. 8 (2018): 1288–300. http://dx.doi.org/10.1177/0959683618771484.

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The summer rainfall zone (SRZ) in the South African interior experienced pronounced hydrological and vegetation changes during the Holocene inferred to be driven mainly by shifts in atmospheric and oceanic circulations systems. The exact mechanisms controlling these changes are still debated. To gain better insights into the Holocene environmental changes in the South African SRZ and their driving factors, we analysed compound-specific carbon and hydrogen isotopes of plant wax n-alkanes (δ13Cwax and δDwax) from a marine sediment core covering the last 9900 years. The core has been recovered of

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Siqueira, Vinícius A., Rodrigo C. D. Paiva, Ayan S. Fleischmann, et al. "Toward continental hydrologic–hydrodynamic modeling in South America." Hydrology and Earth System Sciences 22, no. 9 (2018): 4815–42. http://dx.doi.org/10.5194/hess-22-4815-2018.

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Abstract. Providing reliable estimates of streamflow and hydrological fluxes is a major challenge for water resources management over national and transnational basins in South America. Global hydrological models and land surface models are a possible solution to simulate the terrestrial water cycle at the continental scale, but issues about parameterization and limitations in representing lowland river systems can place constraints on these models to meet local needs. In an attempt to overcome such limitations, we extended a regional, fully coupled hydrologic–hydrodynamic model (MGB; Modelo h

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10

Hollaus, M., W. Wagner, and K. Kraus. "Airborne laser scanning and usefulness for hydrological models." Advances in Geosciences 5 (December 16, 2005): 57–63. http://dx.doi.org/10.5194/adgeo-5-57-2005.

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Abstract. Digital terrain models form the basis for distributed hydrologic models as well as for two-dimensional hydraulic river flood models. The technique used for generating high accuracy digital terrain models has shifted from stereoscopic aerial-photography to airborne laser scanning during the last years. Since the disastrous floods 2002 in Austria, large airborne laser-scanning flight campaigns have been carried out for several river basins. Additionally to the topographic information, laser scanner data offer also the possibility to estimate object heights (vegetation, buildings). Deta

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11

Anderson, Sally Rose, Amanda Bowen, Glenn Tootle, and Abdoul Oubeidillah. "RECONSTRUCTIONS OF HYDROLOGIC VARIABLES IN THE NORTH PLATTE RIVER BASIN." International Journal of Engineering Technologies and Management Research 6, no. 2 (2020): 59–71. http://dx.doi.org/10.29121/ijetmr.v6.i2.2019.356.

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Reconstructions of hydrologic variables are commonly created using tree-ring chronologies (TRCs) to generate information about historic climate and potential future variability. This study used TRCs to reconstruct annual streamflow, April 1st Snow Water Equivalent (SWE), and soil moisture in the North Platte River Basin (NPRB). Stepwise linear regression was performed to determine which of the 55 moisture sensitive TRCs were the best predictors of hydrologic variation. The regressions explained 63% of the variability in streamflow, 55% of the variability in SWE, and 66% of the variability in s

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Matus, Sean A., Francina Dominguez, Daniel R. Gambill, and Heidi R. Howard. "Embracing Uncertainty: Using Probabilistic Weather Forecasts to Make Ensemble Hydraulic Predictions at Remote Low-Water Crossings." Journal of Hydrometeorology 21, no. 5 (2020): 953–69. http://dx.doi.org/10.1175/jhm-d-19-0238.1.

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AbstractLow-water crossings are structures designed to be overtopped during high river flows. These structures are usually constructed in remote locations, making timely emergency response difficult in case of flooding. In this work, five historical flooding events were hindcasted at a remote low-water crossing in central Texas. An ensemble of model-simulated precipitation forcing cascades uncertainty through hydrologic and hydraulic models. Each precipitation ensemble member corresponds to an independent model run, resulting in an ensemble 24-h streamflow forecast initialized at 0000 UTC. In

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Montanari, M., R. Hostache, P. Matgen, G. Schumann, L. Pfister, and L. Hoffmann. "Calibration and sequential updating of a coupled hydrologic-hydraulic model using remote sensing-derived water stages." Hydrology and Earth System Sciences 13, no. 3 (2009): 367–80. http://dx.doi.org/10.5194/hess-13-367-2009.

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Abstract. Two of the most relevant components of any flood forecasting system, namely the rainfall-runoff and flood inundation models, increasingly benefit from the availability of spatially distributed Earth Observation data. With the advent of microwave remote sensing instruments and their all weather capabilities, new opportunities have emerged over the past decade for improved hydrologic and hydraulic model calibration and validation. However, the usefulness of remote sensing observations in coupled hydrologic and hydraulic models still requires further investigations. Radar remote sensing

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14

Kamali, M., K. Ponnambalam, and E. D. Soulis. "Computationally efficient calibration of WATCLASS Hydrologic models using surrogate optimization." Hydrology and Earth System Sciences Discussions 4, no. 4 (2007): 2307–21. http://dx.doi.org/10.5194/hessd-4-2307-2007.

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Abstract. In this approach, exploration of the cost function space was performed with an inexpensive surrogate function, not the expensive original function. The Design and Analysis of Computer Experiments(DACE) surrogate function, which is one type of approximate models, which takes correlation function for error was employed. The results for Monte Carlo Sampling, Latin Hypercube Sampling and Design and Analysis of Computer Experiments(DACE) approximate model have been compared. The results show that DACE model has a good potential for predicting the trend of simulation results. The case stud

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Laganier, O., P. A. Ayral, D. Salze, and S. Sauvagnargues. "A coupling of hydrologic and hydraulic models appropriate for the fast floods of the Gardon River basin (France)." Natural Hazards and Earth System Sciences 14, no. 11 (2014): 2899–920. http://dx.doi.org/10.5194/nhess-14-2899-2014.

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Abstract. Mediterranean catchments are regularly affected by fast and flash floods. Numerous hydrologic models have been developed, and allow modelling of these floods. However, these approaches often concern average-size basins of a few hundred km2. At larger scales (>1000 km2), coupling of hydrologic and hydraulic models appears to be an adapted solution. This study has as its first objective the evaluation of the performances of a coupling of models for flood hydrograph modelling. Secondly, the coupling results are compared with those of other modelling options. The aim of these comparis

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Milly, P. C. D., and Krista A. Dunne. "On the Hydrologic Adjustment of Climate-Model Projections: The Potential Pitfall of Potential Evapotranspiration." Earth Interactions 15, no. 1 (2011): 1–14. http://dx.doi.org/10.1175/2010ei363.1.

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Abstract Hydrologic models often are applied to adjust projections of hydroclimatic change that come from climate models. Such adjustment includes climate-bias correction, spatial refinement (“downscaling”), and consideration of the roles of hydrologic processes that were neglected in the climate model. Described herein is a quantitative analysis of the effects of hydrologic adjustment on the projections of runoff change associated with projected twenty-first-century climate change. In a case study including three climate models and 10 river basins in the contiguous United States, the authors

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17

Nam, Dong Ho, Hern Joong Ha, and Byung Sik Kim. "Validation of Flood Runoff Simulation Using Distributed Hydrologic Models." Journal of the Korean Society of Hazard Mitigation 20, no. 1 (2020): 173–84. http://dx.doi.org/10.9798/kosham.2020.20.1.173.

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Due toclimate change, the average temperature of the Earth continues to increase, while abnormal climate patterns (such as El Niño and La Niña) occur frequently, causing numerous instances of flooding and drought damages. Thus, sophisticated analyses of rainfall-runoff phenomena are needed to reduce the damage caused by these weather disasters. Furthermore, analyzing the impact of extreme rainfall events occurring in a short period of time is essential for flood management. In this study, the Nakdong River, located in Yangsan, Gyeongsangnam-do, which is prone to localized heavy rainfall and fl

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18

Annis, Antonio, and Fernando Nardi. "GFPLAIN and Multi-Source Data Assimilation Modeling: Conceptualization of a Flood Forecasting Framework Supported by Hydrogeomorphic Floodplain Rapid Mapping." Hydrology 8, no. 4 (2021): 143. http://dx.doi.org/10.3390/hydrology8040143.

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Hydrologic/hydraulic models for flood risk assessment, forecasting and hindcasting have been greatly supported by the rising availability of increasingly accurate and high-resolution Earth Observation (EO) data. EO-based topographic and hydrologic open geo data are, nowadays, available on large scales. Data Assimilation (DA) models allow Early Warning Systems (EWS) to produce accurate and timely flood predictions. DA-based EWS generally use river flow real-time observations and 1D hydraulic models to identify potential inundation hot spots. Detailed high-resolution 2D hydraulic modeling is usu

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19

Gunathilake, Miyuru B., Chamaka Karunanayake, Anura S. Gunathilake, et al. "Hydrological Models and Artificial Neural Networks (ANNs) to Simulate Streamflow in a Tropical Catchment of Sri Lanka." Applied Computational Intelligence and Soft Computing 2021 (May 27, 2021): 1–9. http://dx.doi.org/10.1155/2021/6683389.

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Accurate streamflow estimations are essential for planning and decision-making of many development activities related to water resources. Hydrological modelling is a frequently adopted and a matured technique to simulate streamflow compared to the data driven models such as artificial neural networks (ANNs). In addition, usage of ANNs is minimum to simulate streamflow in the context of Sri Lanka. Therefore, this study presents an intercomparison between streamflow estimations from conventional hydrological modelling and ANN analysis for Seethawaka River Basin located in the upstream part of th

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20

Carson, Rick, Spyros Beltaos, Joe Groeneveld, et al. "Comparative testing of numerical models of river ice jams." Canadian Journal of Civil Engineering 38, no. 6 (2011): 669–78. http://dx.doi.org/10.1139/l11-036.

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Ice processes in general, and ice jams in particular, play a dominant role in the hydrologic regime of Canadian rivers, often causing extreme floods and affecting the life cycle of many aquatic, terrestrial, and avian species. Various numerical models have been developed to help simulate the formation and consequences of these very dynamic and often destructive jam events. To test and compare the performance of existing models, a series of three tests have been devised and coordinated by a task force appointed by the Committee on River Ice Processes and the Environment (CRIPE). The results ind

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21

Laganier, O., P. A. Ayral, D. Salze, and S. Sauvagnargues. "A coupling of hydrologic and hydraulic models appropriate for the fast floods of the Gardon river basin (France): results and comparisons with others modelling options." Natural Hazards and Earth System Sciences Discussions 1, no. 5 (2013): 4635–80. http://dx.doi.org/10.5194/nhessd-1-4635-2013.

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Abstract. Mediterranean catchments are regularly affected by fast and flash floods. Numerous hydrologic models were developed, and allow to reconstruct these floods. However, these approaches often concern average size basins, of some hundreds km2. At more important scales (>1000 km2), a coupling of hydrologic and hydraulic models appears to be an adapted solution. This study analyses the performances of a coupling of models and compares them with those of others modelling strategies. The distributed SCS-LR hydrologic model implemented in the ATHYS modelling platform ( http://www.athys-soft

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22

Montanari, M., R. Hostache, P. Matgen, G. Schumann, L. Pfister, and L. Hoffmann. "Calibration and sequential updating of a coupled hydrologic-hydraulic model using remote sensing-derived water stages." Hydrology and Earth System Sciences Discussions 5, no. 6 (2008): 3213–45. http://dx.doi.org/10.5194/hessd-5-3213-2008.

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Abstract. Two of the most relevant components of any flood forecasting system, namely the rainfall-runoff and flood inundation models, increasingly benefit from the availability of spatially distributed Earth Observation data. With the advent of microwave remote sensing instruments and their all weather capabilities, new opportunities have emerged over the past decade for improved hydrologic and hydraulic model calibration and validation. However, the usefulness of remote sensing observations in coupled hydrologic and hydraulic models still requires further investigations. Radar remote sensing

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23

Todorovic, Andrijana, and Jasna Plavsic. "The role of conceptual hydrologic model calibration in climate change impact on water resources assessment." Journal of Water and Climate Change 7, no. 1 (2015): 16–28. http://dx.doi.org/10.2166/wcc.2015.086.

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Assessment of climate change (CC) impact on hydrologic regime requires a calibrated rainfall-runoff model, defined by its structure and parameters. The parameter values depend, inter alia, on the calibration period. This paper investigates influence of the calibration period on parameter values, model efficiency and streamflow projections under CC. To this end, a conceptual HBV-light model of the Kolubara River catchment in Serbia is calibrated against flows observed within 5 consecutive wettest, driest, warmest and coldest years and in the complete record period. The optimised parameters reve

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Rödel, R., and T. Hoffmann. "Quantifying the efficiency of river regulation." Advances in Geosciences 5 (December 16, 2005): 75–82. http://dx.doi.org/10.5194/adgeo-5-75-2005.

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Abstract. Dam-affected hydrologic time series give rise to uncertainties when they are used for calibrating large-scale hydrologic models or for analysing runoff records. It is therefore necessary to identify and to quantify the impact of impoundments on runoff time series. Two different approaches were employed. The first, classic approach compares the volume of the dams that are located upstream from a station with the annual discharge. The catchment areas of the stations are calculated and then related to geo-referenced dam attributes. The paper introduces a data set of geo-referenced dams

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Rojano, Fernando, David Huber, Ifeoma Ugwuanyi, Vadesse Noundou, Andrielle Kemajou-Tchamba, and Jesus Chavarria-Palma. "Net Ecosystem Production of a River Relying on Hydrology, Hydrodynamics and Water Quality Monitoring Stations." Water 12, no. 3 (2020): 783. http://dx.doi.org/10.3390/w12030783.

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Flow and water quality of rivers are highly dynamic. Water quantity and quality are subjected to simultaneous physical, chemical and biological processes making it difficult to accurately assess lotic ecosystems. Our study investigated net ecosystem production (NEP) relying on high-frequency data of hydrology, hydrodynamics and water quality. The Kanawha River, West Virginia was investigated along 52.8 km to estimate NEP. Water quality data were collected along the river using three distributed multiprobe sondes that measured water temperature, dissolved oxygen, dissolved oxygen saturation, sp

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26

Hicks, Faye E. "Hydraulic flood routing with minimal channel data: Peace River, Canada." Canadian Journal of Civil Engineering 23, no. 2 (1996): 524–35. http://dx.doi.org/10.1139/l96-057.

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Hydrologic flood routing models have been, and continue to be, the primary tool of the flood forecaster. However, any advancement in our ability to model a wider variety of flow scenarios, including extreme flood events (for which no calibration may be available), dam break floods, or ice-related events, necessitates the use of deterministic (hydraulic) models. A more fundamental advantage of hydraulic flood routing models over hydrologic models, in terms of less dynamic events, is that output describing flood hydrographs between gauge sites is produced. Such output is valuable in flow forecas

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27

Ali, Mohd Fozi, Nor Faiza A. Rahman, and Khairi Khalid. "Discharge Assessment by Using Integrated Hydrologic Model for Environmental Technology Development." Advanced Materials Research 911 (March 2014): 378–82. http://dx.doi.org/10.4028/www.scientific.net/amr.911.378.

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River water quality degradation is one of the most significant environmental challenges. Over the years, many models have been used to investigate the current state of Malaysian rivers and its effects to the environment. River discharge is an important factor in water quality investigation. An integrative computational model, GIS coupled with SWAT model was being used to predict river discharge of this research. The simulation results in the period 1999 to 2010 represented fluctuation of discharge relatively well with both R2and NSI values were above 0.6. The results proved that the developmen

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28

Santillan, J. R., A. M. Amora, M. Makinano-Santillan, A. L. Gingo, and J. T. Marqueso. "ANALYZING THE IMPACTS OF LAND COVER CHANGE TO THE HYDROLOGIC AND HYDRAULIC BEHAVIOURS OF THE PHILIPPINES' THIRD LARGEST RIVER BASIN." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-3/W1 (March 1, 2019): 41–48. http://dx.doi.org/10.5194/isprs-annals-iv-3-w1-41-2019.

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<p><strong>Abstract.</strong> Changes in land cover can have negative impacts on the hydrological and hydraulic processes in river basins and watersheds such as increase in surface runoff and peak flows, and greater incidence, risk and vulnerability of flooding. In this study, the impacts of land-cover changes to the hydrologic and hydraulic behaviours of the Agusan River Basin (ARB), the third largest river basin in the Philippines, was analysed using an integrated approach involving Remote Sensing (RS), Geographic Information System (GIS), and hydrologic and hydraulic model

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29

Thanh, Nguyen Trung, Paul Jing Liu, Mai Duc Dong, et al. "Late Pleistocene-Holocene sequence stratigraphy of the subaqueous Red River delta and the adjacent shelf." VIETNAM JOURNAL OF EARTH SCIENCES 40, no. 3 (2018): 271–87. http://dx.doi.org/10.15625/0866-7187/40/3/12618.

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The model of Late Pleistocene-Holocene sequence stratigraphy of the subaqueous Red River delta and the adjacent shelf is proposed by interpretation of high-resolution seismic documents and comparison with previous research results on Holocene sedimentary evolution on the delta plain. Four units (U1, U2, U3, and U4) and four sequence stratigraphic surfaces (SB1, TS, TRS and MFS) were determined. The formation of these units and surfaces is related to the global sea-level change in Late Pleistocene-Holocene. SB1, defined as the sequence boundary, was generated by subaerial processes during the L

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Sharma, Vimal Chandra, and Satish Kumar Regonda. "Two-Dimensional Flood Inundation Modeling in the Godavari River Basin, India—Insights on Model Output Uncertainty." Water 13, no. 2 (2021): 191. http://dx.doi.org/10.3390/w13020191.

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Most flood inundation models do not come with an uncertainty analysis component chiefly because of the complexity associated with model calibration. Additionally, the fact that the models are both data- and compute-intensive, and since uncertainty results from multiple sources, adds another layer of complexity for model use. In the present study, flood inundation modeling was performed in the Godavari River Basin using the Hydrologic Engineering Center—River Analysis System 2D (HEC-RAS 2D) model. The model simulations were generated for six different scenarios that resulted from combinations o

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Barnhart, Bradley L., Keith A. Sawicz, Darren L. Ficklin, and Gerald W. Whittaker. "MOESHA: A Genetic Algorithm for Automatic Calibration and Estimation of Parameter Uncertainty and Sensitivity of Hydrologic Models." Transactions of the ASABE 60, no. 4 (2017): 1259–69. http://dx.doi.org/10.13031/trans.12179.

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Abstract. Characterization of the uncertainty and sensitivity of model parameters is an essential facet of hydrologic modeling. This article introduces the multi-objective evolutionary sensitivity handling algorithm (MOESHA) that combines input parameter uncertainty and sensitivity analyses with a genetic algorithm calibration routine to dynamically sample the parameter space. This novel algorithm serves as an alternative to traditional static space-sampling methods, such as stratified sampling or Latin hypercube sampling. In addition to calibrating model parameters to a hydrologic model, MOES

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Schneider, Raphael, Peter Nygaard Godiksen, Heidi Villadsen, Henrik Madsen, and Peter Bauer-Gottwein. "Application of CryoSat-2 altimetry data for river analysis and modelling." Hydrology and Earth System Sciences 21, no. 2 (2017): 751–64. http://dx.doi.org/10.5194/hess-21-751-2017.

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Abstract. Availability of in situ river monitoring data, especially of data shared across boundaries, is decreasing, despite growing challenges for water resource management across the entire globe. This is especially valid for the case study of this work, the Brahmaputra Basin in South Asia. Commonly, satellite altimeters are used in various ways to provide information about such river basins. Most missions provide virtual station time series of water levels at locations where their repeat orbits cross rivers. CryoSat-2 is equipped with a new type of altimeter, providing estimates of the actu

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Castelli, Fabio, and Giulia Ercolani. "Improvement of operational flood forecasting through the assimilation of satellite observations and multiple river flow data." Proceedings of the International Association of Hydrological Sciences 373 (May 12, 2016): 167–73. http://dx.doi.org/10.5194/piahs-373-167-2016.

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Abstract. Data assimilation has the potential to improve flood forecasting. However, it is rarely employed in distributed hydrologic models for operational predictions. In this study, we present variational assimilation of river flow data at multiple locations and of land surface temperature (LST) from satellite in a distributed hydrologic model that is part of the operational forecasting chain for the Arno river, in central Italy. LST is used to estimate initial condition of soil moisture through a coupled surface energy/water balance scheme. We present here several hindcast experiments to as

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Dong, Leihua, Lihua Xiong, and Yanfeng Zheng. "Uncertainty analysis of coupling multiple hydrologic models and multiple objective functions in Han River, China." Water Science and Technology 68, no. 3 (2013): 506–13. http://dx.doi.org/10.2166/wst.2013.255.

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Three different hydrological models are chosen to simulate rainfall-runoff relationships under each of three objective functions including mean squared errors of squared transformed flows, squared root transformed flows and logarithmic transformed flows; thus nine individual models are constructed. By weighted averaging over these nine models, the method of Bayesian model averaging (BMA) was used to provide both the mean value and the uncertainty intervals of flow prediction. Three kinds of uncertainty information can be generated: the uncertainty of individual member model's predictions; the

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ShahiriParsa, Ahmad, Mohammad Noori, Mohammad Heydari, and Mahmood Rashidi. "Floodplain Zoning Simulation by Using HEC-RAS and CCHE2D Models in the Sungai Maka River." Air, Soil and Water Research 9 (January 2016): ASWR.S36089. http://dx.doi.org/10.4137/aswr.s36089.

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River flooding causes several human and financial casualties. It is necessary to perform research studies and implement subsequent actions consistent with the nature of the river. In order to reduce flood damage, floodplain zoning maps and river cross-sectional boundaries are important to nonstructural measures in planning and optimizing utilization of the areas around the river. Due to the complex behavior of the rivers during floods, computer modeling is the most efficient tool with the least possible cost to study and simulate the behavior of the rivers. In this study, one-dimensional model

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Dyer, Jamie L., Robert J. Moorhead, and Lee Hathcock. "Identification and Analysis of Microscale Hydrologic Flood Impacts Using Unmanned Aerial Systems." Remote Sensing 12, no. 10 (2020): 1549. http://dx.doi.org/10.3390/rs12101549.

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The need for accurate and spatially detailed hydrologic information is critical due to the microscale influences on the severity and distribution of flooding, and new and/or updated approaches in observations of river systems are required that are in line with the current push towards microscale numerical simulations. In response, the aim of this project is to define and illustrate the hydrologic response of river flooding relative to microscale surface properties by using an unmanned aerial system (UAS) with dedicated imaging, sensor, and communication packages for data collection. As part of

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Herman, J. D., J. B. Kollat, P. M. Reed, and T. Wagener. "Technical Note: Method of Morris effectively reduces the computational demands of global sensitivity analysis for distributed watershed models." Hydrology and Earth System Sciences 17, no. 7 (2013): 2893–903. http://dx.doi.org/10.5194/hess-17-2893-2013.

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Abstract. The increase in spatially distributed hydrologic modeling warrants a corresponding increase in diagnostic methods capable of analyzing complex models with large numbers of parameters. Sobol' sensitivity analysis has proven to be a valuable tool for diagnostic analyses of hydrologic models. However, for many spatially distributed models, the Sobol' method requires a prohibitive number of model evaluations to reliably decompose output variance across the full set of parameters. We investigate the potential of the method of Morris, a screening-based sensitivity approach, to provide resu

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Herman, J. D., J. B. Kollat, P. M. Reed, and T. Wagener. "Technical note: Method of Morris effectively reduces the computational demands of global sensitivity analysis for distributed watershed models." Hydrology and Earth System Sciences Discussions 10, no. 4 (2013): 4275–99. http://dx.doi.org/10.5194/hessd-10-4275-2013.

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Abstract. The increase in spatially distributed hydrologic modeling warrants a corresponding increase in diagnostic methods capable of analyzing complex models with large numbers of parameters. Sobol' sensitivity analysis has proven to be a valuable tool for diagnostic analyses of hydrologic models. However, for many spatially distributed models, the Sobol' method requires a prohibitive number of model evaluations to reliably decompose output variance across the full set of parameters. We investigate the potential of the method of Morris, a screening-based sensitivity approach, to provide resu

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Koutsovili, Eleni Ioanna, Ourania Tzoraki, Nicolaos Theodossiou, and Petros Gaganis. "Numerical assessment of climate change impact on the hydrological regime of a small Mediterranean river, Lesvos Island, Greece." Acta Horticulturae et Regiotecturae 24, no. 1 (2021): 28–48. http://dx.doi.org/10.2478/ahr-2021-0022.

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Abstract Frequency of flash floods and droughts in the Mediterranean climate zone is expected to rise in the coming years due to change of its climate. The assessment of the climate change impact at a basin scale is essential for developing mitigation and adaptation plans. This study analyses the variation of the hydrologic regime of a small Mediterranean river (the Kalloni river in Lesvos Island, Greece) by the examination of possible future climate change scenarios. The hydrologic response of the basin was simulated based on Hydrologic Modeling System developed by the Hydrologic Engineering

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Pagano, Thomas C., Andrew W. Wood, Maria-Helena Ramos, et al. "Challenges of Operational River Forecasting." Journal of Hydrometeorology 15, no. 4 (2014): 1692–707. http://dx.doi.org/10.1175/jhm-d-13-0188.1.

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Abstract Skillful and timely streamflow forecasts are critically important to water managers and emergency protection services. To provide these forecasts, hydrologists must predict the behavior of complex coupled human–natural systems using incomplete and uncertain information and imperfect models. Moreover, operational predictions often integrate anecdotal information and unmodeled factors. Forecasting agencies face four key challenges: 1) making the most of available data, 2) making accurate predictions using models, 3) turning hydrometeorological forecasts into effective warnings, and 4) a

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Madani, K., M. Zarezadeh, and S. Morid. "A new framework for resolving conflicts over transboundary rivers using bankruptcy methods." Hydrology and Earth System Sciences 18, no. 8 (2014): 3055–68. http://dx.doi.org/10.5194/hess-18-3055-2014.

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Abstract. A novel bankruptcy approach is proposed for resolving transboundary river conflicts in which the total water demand or claim of the riparian parties is more than the available water. Bankruptcy solution methods can allocate the available water to the conflicting parties with respect to their claims. Four commonly used bankruptcy methods in the economic literature are used here to develop new river bankruptcy solution methods for allocating water to the riparian parties of river systems. Given the non-uniform spatial and temporal distribution of water across river basins, the proposed

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Roy, Tirthankar, Aleix Serrat-Capdevila, Juan Valdes, Matej Durcik, and Hoshin Gupta. "Design and implementation of an operational multimodel multiproduct real-time probabilistic streamflow forecasting platform." Journal of Hydroinformatics 19, no. 6 (2017): 911–19. http://dx.doi.org/10.2166/hydro.2017.111.

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Abstract The task of real-time streamflow monitoring and forecasting is particularly challenging for ungauged or sparsely gauged river basins, and largely relies upon satellite-based estimates of precipitation. We present the design and implementation of a state-of-the-art real-time streamflow monitoring and forecasting platform that integrates information provided by cutting-edge satellite precipitation products (SPPs), numerical precipitation forecasts, and multiple hydrologic models, to generate probabilistic streamflow forecasts that have an effective lead time of 9 days. The modular desig

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Xu, Chong-yu. "From GCMs to river flow: a review of downscaling methods and hydrologic modelling approaches." Progress in Physical Geography: Earth and Environment 23, no. 2 (1999): 229–49. http://dx.doi.org/10.1177/030913339902300204.

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The scientific literature of the past decade contains a large number of reports detailing the development of downscaling methods and the use of hydrologic models to assess the potential effects of climate change on a variety of water resource issues. This article reviews the current state of methodologies for simulating hydrological responses to global climate change. Emphasis is given to recent advances in climatic downscaling and the problems related to the practical application of appropriate models in impact studies. Following a discussion of the advantages and deficiencies of the various

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Hussain, Athar, Jatin Kumar Singh, A. R. Senthil Kumar, and Harne K R. "Rainfall-Runoff Modeling of Sutlej River Basin (India) Using Soft Computing Techniques." International Journal of Agricultural and Environmental Information Systems 10, no. 2 (2019): 1–20. http://dx.doi.org/10.4018/ijaeis.2019040101.

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The prediction of the runoff generated within a watershed is an important input in the design and management of water resources projects. Due to the tremendous spatial and temporal variability in precipitation, rainfall-runoff relationship becomes one of the most complex hydrologic phenomena. Under such circumstances, using soft computing approaches have proven to be an efficient tool in modeling of runoff. These models are capable of predicting river runoff values that can be used for hydrologic and hydraulic engineering design and water management purposes. It has been observed that the arti

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Shrestha, Rajesh R., Markus A. Schnorbus, Arelia T. Werner, and Francis W. Zwiers. "Evaluating Hydroclimatic Change Signals from Statistically and Dynamically Downscaled GCMs and Hydrologic Models." Journal of Hydrometeorology 15, no. 2 (2014): 844–60. http://dx.doi.org/10.1175/jhm-d-13-030.1.

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Abstract This study analyzed potential hydroclimatic change in the Peace River basin in the province of British Columbia, Canada, based on two structurally different approaches: (i) statistically downscaled global climate models (GCMs) using the bias-corrected spatial disaggregation (BCSD) and (ii) dynamically downscaled GCM with the Canadian Regional Climate Model (CRCM). Additionally, simulated hydrologic changes from the GCM–BCSD-driven Variable Infiltration Capacity (VIC) model were compared to the CRCM integrated Canadian Land Surface Scheme (CLASS) output. The results show good agreement

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Beltaos, Spyros, and Brian C. Burrell. "Climatic change and river ice breakup." Canadian Journal of Civil Engineering 30, no. 1 (2003): 145–55. http://dx.doi.org/10.1139/l02-042.

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The flow hydrograph, thickness of the winter ice cover, and stream morphology are three climate-influenced factors that govern river ice processes in general and ice breakup and jamming in particular. Considerable warming and changes in precipitation patterns, as predicted by general circulation models (GCMs) for various increased greenhouse-gas scenarios, would affect the length and duration of the ice season and the timing and severity of ice breakup. Climate-induced changes to river ice processes and the associated hydrologic regimes can produce physical, biological, and socioeconomic effec

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Liu, Xiaoli, and Paulin Coulibaly. "Downscaling Ensemble Weather Predictions for Improved Week-2 Hydrologic Forecasting." Journal of Hydrometeorology 12, no. 6 (2011): 1564–80. http://dx.doi.org/10.1175/2011jhm1366.1.

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Abstract This study investigates the use of large-scale ensemble weather predictions provided by the National Centers for Environmental Prediction (NCEP) Global Forecast System [GFS; formerly known as Medium-Range Forecast (MRF)] for improving week-2 hydrologic forecasting. The ensemble weather predictor variables are used to downscale daily precipitation and temperature series at two meteorological stations in the Saguenay watershed in northeastern Canada. Three data-driven methods—namely, the statistical downscaling model (SDSM), the time-lagged feed-forward neural network (TLFN), and evolut

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Hirpessa, Yerosan Abera, and Ing Dereje Hailu. "ASSESSMENT OF FAILURE ON DRAINAGE STRUCTURES ALONG THE ETHIOPIAN NATIONAL RAILWAY LINE OF SEBETA-MIESO (CASE STUDY OF AKAKI RIVER CROSSING DRAINAGE STRUCTURE)." International Journal of Research -GRANTHAALAYAH 7, no. 9 (2019): 123–37. http://dx.doi.org/10.29121/granthaalayah.v7.i9.2019.568.

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A railway drainage system gives vital role for effective, efficient operation of rail track. This study worked on an assessment of railway drainage system problem along the Addis Ababa- Mieso railway line, specifically on Akaki rives crossing. It was done to check adequacy of hydraulic structure provided on Akaki River crossing by undertaking hydrologic and hydraulic analysis. Hydrologic modeling of the Akaki catchment area was developed by HEC-GeoHMS program with the help of Arc-GIS and hydrologic analysis was computed by HEC-HMS program. The catchment land use, soil type, rainfall data

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Yuan, Xing, Joshua K. Roundy, Eric F. Wood, and Justin Sheffield. "Seasonal Forecasting of Global Hydrologic Extremes: System Development and Evaluation over GEWEX Basins." Bulletin of the American Meteorological Society 96, no. 11 (2015): 1895–912. http://dx.doi.org/10.1175/bams-d-14-00003.1.

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Abstract Seasonal hydrologic extremes in the form of droughts and wet spells have devastating impacts on human and natural systems. Improving understanding and predictive capability of hydrologic extremes, and facilitating adaptations through establishing climate service systems at regional to global scales are among the grand challenges proposed by the World Climate Research Programme (WCRP) and are the core themes of the Regional Hydroclimate Projects (RHP) under the Global Energy and Water Cycle Experiment (GEWEX). An experimental global seasonal hydrologic forecasting system has been devel

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Luo, Lifeng, and Eric F. Wood. "Use of Bayesian Merging Techniques in a Multimodel Seasonal Hydrologic Ensemble Prediction System for the Eastern United States." Journal of Hydrometeorology 9, no. 5 (2008): 866–84. http://dx.doi.org/10.1175/2008jhm980.1.

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Abstract Skillful seasonal hydrologic predictions are useful in managing water resources, preparing for droughts and their impacts, energy planning, and many other related sectors. In this study, a seasonal hydrologic ensemble prediction system is developed and evaluated over the eastern United States, with a focus on the Ohio River basin. The system uses a hydrologic model (i.e., the Variable Infiltration Capacity model) as the central element for producing ensemble predictions of soil moisture, snow, and streamflow with lead times up to six months. One unique feature of this system is in the

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