ISBN: 9781041086970 - national-scale dynamic water resources assessment model in china (15 risultati)

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Hardcover. Condizione: 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

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Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…