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Water Resource Modeling and Computational Technologies: Volume 7 (Current Directions in Water Scarcity Research, Volume 7) - Softcover

 
9780323919104: Water Resource Modeling and Computational Technologies: Volume 7 (Current Directions in Water Scarcity Research, Volume 7)

Synopsis

Water Resource Modeling and Computational Technologies, Seventh Edition provides the reader with a comprehensive overview of the applications that computational techniques have in various sectors of water resource engineering. The book explores applications of recent modeling and computational techniques in various sectors of water resource engineering, including hydroinformatics, irrigation engineering, climate change, hydrologic forecasting, floods, droughts, image processing, GIS, water quality, aquifer mapping, basin scale modeling, computational fluid dynamics, numerical modeling of surges and groundwater flow, river engineering, optimal reservoir operation, multipurpose projects, and water resource management. As such, this is a must read for hydrologists, civil engineers and water resource managers.

  • Presents contributed chapters from global experts in the field of water resources from both a science and engineering perspective
  • Includes case studies throughout, providing readers with an opportunity to understand how case specific challenges can help with computational techniques
  • Provides basic concepts as well as a literature review on the application of computational techniques in various sectors of water resources

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About the Authors

Dr. Mohammad Zakwan PhD is presently working as an Assistant Professor in Maulana Azad National University, Hyderabad, India. He has published numerous papers and has a demonstrated history of working in Water Resource Engineering. He has been serving as an editorial board member and reviewer for various journals. His research interests include modelling of infiltration, modelling river water quality, sediment rating curves, stage discharge curves, computation of effective discharge and dominant discharge, climate change, trend analysis in water resources, river engineering, hydraulics, and hydrology of rivers. Dr. Mohammad Zakwan was a recipient of Gold medals during his M.Tech and B.Tech. He was awarded MHRD GATE scholarship and CSIR NET JRF scholarship for his M.Tech and PhD, respectively.

Prof. Abdul Wahid is presently serving as Professor and Dean of the School of Technology, Maulana Azad National University, Hyderabad, India. He has also served as Visiting Professor (Research) in National Defense University Malaysia. He has over 20 years of teaching experience. He has published numerous papers in Science Citation Indexed and Scopus Journals with a demonstrated history of working in Computational Intelligence. He has been serving as an editorial board member and reviewer for various journals. He has been session chair and keynote speaker in many international conferences. His research interests include Computer Architecture, Artificial Neural Network, Computer Security and Reliability.

Dr. Majid Niazkar received his BS degree in Civil Engineering (2012), MS degree in Hydraulic Structures (2014) and PhD degree in Water Resources (2019) from the Department of Civil and Environmental Engineering, Shiraz University, Shiraz, Iran. He is currently a research assistant in the Department of Civil and Environmental Engineering, Shiraz University. His research interests include hydrology (specifically: flood modeling and routing), open channel hydraulics, water resources management, artificial intelligence (AI) applications in water resources, parameter estimation, bed roughness prediction, water distribution networks, optimization, numerical modeling, river engineering and sediment transport, groundwater, assessing the impacts of climate change, and interdisciplinary topics like AI in medicine. He has published more than 60 papers in international journals and conference proceedings.

Dr. Uday Chatterjee is an Assistant Professor at Bhatter College in Dantan, Paschim Medinipur, West Bengal, India, and an Applied Geographer with a Post-Graduate in Applied Geography from Utkal University and a Doctorate in Applied Geography from Ravenshaw University in Cuttack, Odisha. He has contributed to a number of research papers that have been published in reputable national and international publications, as well as edited book volumes. He has also organized (as the convener) a Faculty Development Program on "Modern ways of teaching and advanced research methods," which was funded by the Indian Council of Social Science Research (ICSSR). Urban Planning, Social and Human Geography, Applied Geomorphology, Hazards & Disasters, Environmental Issues, Land Use and Rural Development are some of his research interests. The West Bengal Pollution Control Board (WBPCB) of the Government of West Bengal, India, financed his research. He has worked as a reviewer for a number of international publications. Dr. Uday Chatterjee is currently the lead editor of the Springer Special Issue (S.I) on Urbanism, Smart Cities, and Modelling.

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ZAKWAN, MOHAMMAD
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Paperback. Condition: new. Paperback. Water Resource Modeling and Computational Technologies, Seventh Edition provides the reader with a comprehensive overview of the applications that computational techniques have in various sectors of water resource engineering. The book explores applications of recent modeling and computational techniques in various sectors of water resource engineering, including hydroinformatics, irrigation engineering, climate change, hydrologic forecasting, floods, droughts, image processing, GIS, water quality, aquifer mapping, basin scale modeling, computational fluid dynamics, numerical modeling of surges and groundwater flow, river engineering, optimal reservoir operation, multipurpose projects, and water resource management. As such, this is a must read for hydrologists, civil engineers and water resource managers. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780323919104

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