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Relevant bibliographies by topics / Hydrologic models – Orange river

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Academic literature on the topic 'Hydrologic models – Orange river'

Author: Grafiati

Published: 4 June 2021

Last updated: 8 February 2022

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

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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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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4

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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7

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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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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Dissertations / Theses on the topic "Hydrologic models – Orange river"

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Thoe, Wai. "Integrated river management of the East River field studies, hydrologic and water quality modelling /." Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/hkuto/record/B38997575.

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Tian, Ying. "Macro-scale flow modelling of the Mekong River with spatial variance." View the Table of Contents & Abstract, 2007. http://sunzi.lib.hku.hk/hkuto/record/B38027781.

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Thoe, Wai, and 陶煒. "Integrated river management of the East River: field studies, hydrologic and water quality modelling." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B38997575.

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Tian, Ying, and 田英. "Macro-scale flow modelling of the Mekong River with spatial variance." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B38735556.

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Batten, Douglas James. "Nonlinear time series modeling of some Canadian river flow data." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ54860.pdf.

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Romero, David R. "Hydrologic modelling on the Saint Esprit watershed." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ64442.pdf.

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7

Wu, Yiping, and 吴一平. "Investigation of integrated terrestrial processes over the East River basin in South China." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B43085799.

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Hameed, Maysoun Ayad. "Evaluating Global Sensitivity Analysis Methods for Hydrologic Modeling over the Columbia River Basin." PDXScholar, 2015. https://pdxscholar.library.pdx.edu/open_access_etds/2398.

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Global Sensitivity Analysis (GSA) approach helps to identify the effectiveness of model parameters or inputs and thus provides essential information about the model performance. The effects of 14 parameters and one input (forcing data) of the Sacramento Soil Moisture Accounting (SAC-SMA) model are analyzed by using two GSA methods: Sobol' and Fourier Amplitude Sensitivity Test (FAST). The simulations are carried out over five sub-basins within the Columbia River Basin (CRB) for three different periods: one-year, four-year, and seven-year. The main parameter sensitivities (first-order) and the

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Barasa, Bernard. "Modelling the hydrological responses to changes in land use and cover in the Malaba River Catchment, Eastern Uganda." Thesis, Nelson Mandela Metropolitan University, 2014. http://hdl.handle.net/10948/d1020153.

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Hydrological responses vary from one catchment to another, depending on the nature of land use and cover changes. Modelling the hydrological responses to changes in land use and cover at different catchment spatial scales was the major focus of this study. This study assessed the hydrological responses attributed to changes in land use and extreme weather events resulting into increased sediment loading/concentration, rainfall-runoff generation/volume, streamflow fluctuation and modification of the river channel in the Malaba River Catchment, Eastern Uganda. The hydrological responses were ass

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Barr, Thomas W. "Development of a graphics interface for the Savannah River control program "Savres"." Thesis, Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/20978.

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Books on the topic "Hydrologic models – Orange river"

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Wiley, J. B. Hydraulic characteristics of the New River in the New River Gorge National River, West Virginia. Dept. of the Interior, U.S. Geological Survey, 1989.

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2

United States. Soil Conservation Service. Hydrologic analysis report: Hatchie River Basin Special Study, Tennessee and Mississippi. The Service, 1986.

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3

Banta, J. Ryan. Simulation of hydrologic conditions and suspended-sediment loads in the San Antonio River Basin downstream from San Antonio, Texas, 2000-12. U.S. Department of the Interior, U.S. Geological Survey, 2014.

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4

Curwick, Philip B. Simulation of flow and transport in the lower Mississippi River, Louisiana. Dept. of the Interior, U.S. Geological Survey, 1988.

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5

Curwick, Philip B. Simulation of flow and transport in the lower Mississippi River, Louisiana. Dept. of the Interior, U.S. Geological Survey, 1988.

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Curwick, Philip B. Simulation of flow and transport in the lower Mississippi River, Louisiana. Dept. of the Interior, U.S. Geological Survey, 1988.

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7

Bengtson, Melanie L. A Hydrologic model for assessing the influence of wetlands on flood hydrographs in the Red River Basin: Development and application. North Dakota Water Resources Research Institute, North Dakota State University, 1999.

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8

Troendle, Charles A. The effect of insect mortality and other disturbances on water yield in the North Platte River Basin. Management and Engineering Technologies International, Inc., 2014.

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9

Peters, James G. Description and comparison of selected models for hydrologic analysis of ground-water flow, St. Joseph River Basin, Indiana. Dept. of the Interior, U.S. Geological Survey, 1987.

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10

Gan han qu nei lu he liu yu shui wen mo xing: Hydrological model of inland river basin in arid land = Ganhanqu neiluhe liuyu shuiwen moxing. Zhongguo huan jing ke xue chu ban she, 2012.

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Book chapters on the topic "Hydrologic models – Orange river"

1

Kerkhoven, Ernst, and Thian Yew Gan. "Development of a Hydrologic Scheme for Use in Land Surface Models and its Application to Climate Change in the Athabasca River Basin." In Cold Region Atmospheric and Hydrologic Studies. The Mackenzie GEWEX Experience. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-75136-6_22.

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"Advances in Understanding Landscape Influences on Freshwater Habitats and Biological Assemblages." In Advances in Understanding Landscape Influences on Freshwater Habitats and Biological Assemblages, edited by Jefferson T. Deweber, Logan Sleezer, and Emmanuel A. Frimpong. American Fisheries Society, 2019. http://dx.doi.org/10.47886/9781934874561.ch16.

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<i>Abstract.</i>—Surrounding land use and cover can have profound effects on the physical, chemical, and biological properties of stream ecosystems. For this reason, changes in land use and cover throughout catchments often have strong effects on stream ecosystems that are particularly interesting to researchers. Additionally, natural physical and climatic, or physiographic, characteristics are important for determining natural land cover and constraining human land use and are also strongly related to stream habitat and biota. Because the physiographic template differs among catchments and is an important mediator of catchment processes, it is important to account for natural physiographic differences among catchments to understand the relationship between land use/cover and stream biota. In this paper, we develop and assess the usefulness of a regional framework, land use/cover distinguished physiographic regions (LDPRs), which is designed for understanding relationships between land use/cover and stream biota while accounting for the physiographic template. We classified hydrologic units into LDPRs based on physiographic predictors of land use and cover for the eastern and western United States through the use of multivariate regression tree analysis. Next, we used case study data to assess the usefulness of LDPRs by determining if the relationships between fish assemblage function and land use/cover varied among classes using hierarchical logistic regression models. Eight physiographic characteristics determined land cover patterns for both the eastern and western United States and were used to classify hydrologic units into LDPR classes. Five commonly used biotic metrics describing trophic, reproductive, and taxonomic groupings of fish species responded in varying ways to agriculture and urban land use across LDPRs in the upper Mississippi River basin. Our findings suggest that physiographic differences among hydrologic units result in different pathways by which land use and cover affects stream fish assemblages and that LDPRs are useful for stratifying hydrologic units to investigate those different processes. Unlike other commonly used regional frameworks, the rationale and methods used to develop LDPRs properly account for the often-confounded relationship between physiography and land use/cover when relating land cover to stream biota. Therefore, we recommend the use and refinement of LDPRs or similarly developed regional frameworks so that the varying processes by which human land use results in stream degradation can be better understood.

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Reports on the topic "Hydrologic models – Orange river"

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Zhang, Zhonglong, and Billy Johnson. Hydrologic Engineering Center-River Analysis System (HEC-RAS) water temperature models developed for the Missouri River recovery management plan and environmental impact statement. Environmental Laboratory (U.S.), 2017. http://dx.doi.org/10.21079/11681/23707.

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Bitew, Menberu, and Rhett Jackson. Characterization of Flow Paths, Residence Time and Media Chemistry in Complex Landscapes to Integrate Surface, Groundwater and Stream Processes and Inform Models of Hydrologic and Water Quality Response to Land Use Activities; Savannah River Site. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1171150.

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Description and comparison of selected models for hydrologic analysis of ground-water flow, St Joseph River basin, Indiana. US Geological Survey, 1987. http://dx.doi.org/10.3133/wri864199.

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Application of digital elevation models to delineate drainage areas and compute hydrologic characteristics for sites in the James River basin, North Dakota. US Geological Survey, 1992. http://dx.doi.org/10.3133/wsp2383.

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