Synopsis
This detailed book introduces China's national dynamic water resources assessment model, presenting its construction, application scenarios, and modern modeling approach to replace traditional statistics-based methods.
The book thoroughly explores the applications of distributed hydrological modeling techniques in national water resources assessment. It presents the successful development of the China Water Assessment Model (CWAM), which is based on the WEP-L hydrological model. CWAM demonstrates broad potential in supporting national water information acquisition, uniquely covering both surveyed and un-surveyed regions. The work highlights the model's ability to account for China's diverse climatic and geological characteristics, while improving the efficiency of water resources assessment and providing solutions to dynamic assessment challenges, especially under climate change and human impacts.
This work will serve as an essential reference for scholars and students in hydrology and water resources, as well as policy makers and engineers involved in water resources management and assessment.
Chapter 1 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC BY-NC-ND) 4.0 license.
"synopsis" may belong to another edition of this title.
About the Author
Huan Liu is Senior Engineer at China Institute of Water Resources and Hydropower Research, mainly engaged in water cycle simulation and water resources assessment.
Yangwen Jia is Senior Engineer at China Institute of Water Resources and Hydropower Research, mainly engaged in water cycle simulation.
Jianhua Wang is Senior Engineer at China Institute of Water Resources and Hydropower Research, mainly engaged in water resources assessment and utilization.
Junkai Du is Senior Engineer at China Institute of Water Resources and Hydropower Research, mainly engaged in water information monitoring and application.
Cunwen Niu is Senior Engineer at China Institute of Water Resources and Hydropower Research, mainly engaged in water resources management.
Peng Hu is Senior Engineer at China Institute of Water Resources and Hydropower Research, mainly engaged in protection and restoration of rivers and lakes.
Jiajia Liu is Senior Engineer at China Institute of Water Resources and Hydropower Research, mainly engaged in hydrological model development.
"About this title" may belong to another edition of this title.
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National-Scale Dynamic Water Resources Assessment Model in China (Hardcover)
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Taylor & Francis Ltd, London, 2025
ISBN 10: 1041086970
ISBN 13: 9781041086970
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Hardcover. Condition: new. Hardcover. This detailed book introduces China's national dynamic water resources assessment model, presenting its construction, application scenarios, and modern modeling approach to replace traditional statistics-based methods.The book thoroughly explores the applications of distributed hydrological modeling techniques in national water resources assessment. It presents the successful development of the China Water Assessment Model (CWAM), which is based on the WEP-L hydrological model. CWAM demonstrates broad potential in supporting national water information acquisition, uniquely covering both surveyed and un-surveyed regions. The work highlights the model's ability to account for China's diverse climatic and geological characteristics, while improving the efficiency of water resources assessment and providing solutions to dynamic assessment challenges, especially under climate change and human impacts.This work will serve as an essential reference for scholars and students in hydrology and water resources, as well as policy makers and engineers involved in water resources management and assessment.Chapter 1 of this book is freely available as a downloadable Open Access PDF at under a Creative Commons Attribution-Non Commercial-No Derivatives (CC BY-NC-ND) 4.0 license. This detailed book introduces China's national dynamic water resources assessment model, presenting its construction, application scenarios, and modern modeling approach to replace traditional statistics-based methods. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781041086970
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