Mathematical Models of Small Watershed Hydrology and Applications PDF Download
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Author: Vijay P. Singh
Publisher: Water Resources Publication
ISBN: 9781887201353
Category : Science
Languages : en
Pages : 984
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Book Description
Comprehensive account of some of the most popular models of small watershed hydrology and application ~~ of interest to all hydrologic modelers and model users and a welcome and timely edition to any modeling library
Author: Vijay P. Singh
Publisher: Water Resources Publication
ISBN: 9781887201353
Category : Science
Languages : en
Pages : 984
Get Book Here
Book Description
Comprehensive account of some of the most popular models of small watershed hydrology and application ~~ of interest to all hydrologic modelers and model users and a welcome and timely edition to any modeling library
Author: Vijay P. Singh
Publisher: Allied Publishers
ISBN: 9788177645477
Category : Groundwater
Languages : en
Pages : 588
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Book Description
Author: Vijay P. Singh
Publisher: Water Resources Publication
ISBN: 9781887201346
Category : Nature
Languages : en
Pages : 930
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Book Description
Comprehensive account of some of the most popular models of large watershed hydrology ~~ of interest to all hydrologic modelers and model users and a welcome and timely edition to any modeling library
Author: Vijay P. Singh
Publisher: Water Resources Publications, LLC
ISBN: 9781887201742
Category : Hydrology
Languages : en
Pages : 0
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Book Description
This book stemmed from a desire to provide a comprehensive account of some of the world's popular computer models of watershed hydrology. To achieve this objective, a variety of models that together spanned a range of characteristics were included. Some of those models represent a large class of models, some are comprehensive, some are applicable to not only civil works but also to agricultural, range and forest, and nonpoint source pollution fields; some are equipped with the GIS and remote sensing capability, and some represent a large cross-section of models from around the world. The subject matter of this book is divided into 29 chapters. Beginning with introductory remarks on watershed modeling in Chapter 1, model calibration and reliability estimation are presented in Chapters 2 and 3, respectively. The next ten chapters (4 to 13) present some of the popular models from around the world. These models are in the realm of civil engineering applications of watershed hydrology models. Some of the models are more comprehensive than others and some have the management capabilities. The next two models, presented in Chapters 14 and 15, are large-scale models and embody GIS and remote sensing technology. The models presented in Chapters 16 to 23 are more physically-based and distributed in nature, quite suited to nonpoint source pollution modeling, and to assess environmental impact of land use changes. The remaining 5 models presented in Chapters 24 to 29 are within the realm of agricultural and forestry applications. Nonpoint source pollution, erosion and impact on soil productivity, drainage design, etc., can be modeled by applying these models. Computer Models of Watershed Hydrology will be of interest to practicing hydrologists, especially to hydrologic modelers and the model users, as well as specialists in the fields of civil engineering, agricultural engineering, environmental science, forest and range science, earth science, climatology, and watershed sciences. Graduate students, teachers engaged in graduate instruction, and researchers will also find this book useful. Due to the popularity of this book and with innovations in printing, this was reprinted in 2012 with the original information. It is now part of WRP’s Classic Resource Edition.
Author: Norman H. Crawford
Publisher:
ISBN:
Category :
Languages : en
Pages : 210
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Book Description
Author: Vijay P. Singh
Publisher: CRC Press
ISBN: 1420037439
Category : Science
Languages : en
Pages : 678
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Book Description
Watershed modeling is at the heart of modern hydrology, supplying rich information that is vital to addressing resource planning, environmental, and social problems. Even in light of this important role, many books relegate the subject to a single chapter while books devoted to modeling focus only on a specific area of application. Recognizing the
Author: Qingyun Duan
Publisher: John Wiley & Sons
ISBN: 087590355X
Category : Science
Languages : en
Pages : 356
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Book Description
Published by the American Geophysical Union as part of the Water Science and Application Series, Volume 6. During the past four decades, computer-based mathematical models of watershed hydrology have been widely used for a variety of applications including hydrologic forecasting, hydrologic design, and water resources management. These models are based on general mathematical descriptions of the watershed processes that transform natural forcing (e.g., rainfall over the landscape) into response (e.g., runoff in the rivers). The user of a watershed hydrology model must specify the model parameters before the model is able to properly simulate the watershed behavior.
Author: Charles Thomas Haan
Publisher:
ISBN:
Category : Nature
Languages : en
Pages : 552
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Book Description
Author: Vijay P. Singh
Publisher:
ISBN: 9781887201520
Category : Hydraulic engineering
Languages : en
Pages : 0
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Book Description
Author: Renji Remesan
Publisher: Springer
ISBN: 3319092359
Category : Science
Languages : en
Pages : 261
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Book Description
This book explores a new realm in data-based modeling with applications to hydrology. Pursuing a case study approach, it presents a rigorous evaluation of state-of-the-art input selection methods on the basis of detailed and comprehensive experimentation and comparative studies that employ emerging hybrid techniques for modeling and analysis. Advanced computing offers a range of new options for hydrologic modeling with the help of mathematical and data-based approaches like wavelets, neural networks, fuzzy logic, and support vector machines. Recently machine learning/artificial intelligence techniques have come to be used for time series modeling. However, though initial studies have shown this approach to be effective, there are still concerns about their accuracy and ability to make predictions on a selected input space.
