Catchment Hydrological Modelling Books

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Applied Modeling in Catchment Hydrology


Applied Modeling in Catchment Hydrology
  • Author : Vijay P. Singh
  • Publisher :
  • Release : 1982
  • ISBN : WISC:89010982965
  • Language : En, Es, Fr & De
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Understanding Catchment Processes and Hydrological Modelling in the Abay Upper Blue Nile Basin Ethiopia


Understanding Catchment Processes and Hydrological Modelling in the Abay Upper Blue Nile Basin  Ethiopia
  • Author : Sirak Tekleab Gebrekristos
  • Publisher : CRC Press
  • Release : 2015-04-09
  • ISBN : 1138027928
  • Language : En, Es, Fr & De
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The Abay / Upper Blue Nile basin contributes the largest share of discharge to the river Nile. However, the basin exhibits large spatio-temporal variability in rainfall and runoff. Moreover, human activities also impact hydrological processes through intensive agriculture, overgrazing and deforestation, which substantially affect the basin hydrology. Thus, understanding hydrological processes and hydro-climatic variables at various spatio-temporal scales is essential for sustainable management of water resources in the region. This research investigates the hydrology of the basin in depth using a range of methods at various spatio-temporal scales. The methods include long-term trend analysis of hydroclimatic variables, hydrologic responses analysis of land cover change, stable isotope techniques and process based rainfallrunoff modelling. A combination of field investigations with new measurements of precipitation, water levels and stable isotopes as well as existing hydro-climatic data offered gaining new insights about runoff generation processes in headwater catchments. The use of rainfall-runoff modelling in two meso-scale catchments of the Abay basin depict that a single model structure in a lumped way for the entire Abay basin cannot represent all the dominant hydrological processes. The results of the different approaches demonstrated the potential of the methods to better understand the basin hydrology in a data scarce region.

Rainfall Runoff Modelling


Rainfall Runoff Modelling
  • Author : Keith J. Beven
  • Publisher : John Wiley & Sons
  • Release : 2011-11-29
  • ISBN : 9781119951018
  • Language : En, Es, Fr & De
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Rainfall-Runoff Modelling: The Primer, Second Edition isthe follow-up of this popular and authoritative text, firstpublished in 2001. The book provides both a primer for the noviceand detailed descriptions of techniques for more advancedpractitioners, covering rainfall-runoff models and their practicalapplications. This new edition extends these aims to includeadditional chapters dealing with prediction in ungauged basins,predicting residence time distributions, predicting the impacts ofchange and the next generation of hydrological models. Giving acomprehensive summary of available techniques based on establishedpractices and recent research the book offers a thorough andaccessible overview of the area. Rainfall-Runoff Modelling: The Primer SecondEdition focuses on predicting hydrographs using modelsbased on data and on representations of hydrological process.Dealing with the history of the development of rainfall-runoffmodels, uncertainty in mode predictions, good and bad practice andending with a look at how to predict future catchment hydrologicalresponses this book provides an essential underpinning ofrainfall-runoff modelling topics. Fully revised and updated version of this highly populartext Suitable for both novices in the area and for more advancedusers and developers Written by a leading expert in the field Guide to internet sources for rainfall-runoff modellingsoftware

Predictions in Ungauged Basins


Predictions in Ungauged Basins
  • Author : Murugesu Sivapalan
  • Publisher : International Assn of Hydrological Sciences
  • Release : 2006
  • ISBN : 1901502481
  • Language : En, Es, Fr & De
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Empirical Modeling and Its Applications


Empirical Modeling and Its Applications
  • Author : Dr. Md. Mamun Habib
  • Publisher : BoD – Books on Demand
  • Release : 2016-07-20
  • ISBN : 9789535124931
  • Language : En, Es, Fr & De
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Empirical modeling has been a useful approach for the analysis of different problems across numerous areas/fields of knowledge. As it is known, this type of modeling is particularly helpful when parametric models, due to various reasons, cannot be constructed. Based on different methodologies and approaches, empirical modeling allows the analyst to obtain an initial understanding of the relationships that exist among the different variables that belong to a particular system or process. In some cases, the results from empirical models can be used in order to make decisions about those variables, with the intent of resolving a given problem in the real-life applications. This book entitled Empirical Modeling and Its Applications consists of six (6) chapters.