Surface and Groundwater Resources Development and Management in Semi-Arid Region: Strategies and Solutions for Sustainable Water Management

Pande, Chaitanya B., Kumar, Manish, Kushwaha, N. L.

  • 出版商: Springer
  • 出版日期: 2024-05-21
  • 售價: $5,950
  • 貴賓價: 9.5$5,653
  • 語言: 英文
  • 頁數: 427
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031293967
  • ISBN-13: 9783031293962
  • 海外代購書籍(需單獨結帳)

商品描述

This book explains the challenges for efficient sustainable surface and groundwater development and management with the focus on India and other countries, providing a stable output presentation by using machine learning data mining methods, and modeling. It is a combination of machine learning, modeling, google earth engine, climate data modeling, remote sensing and GIS techniques, surface water modeling, AHP modeling, groundwater quality analysis, aquifer mapping, land use and land cover analysis, forecasting of water and rainfall and so on, its use to sustainable development, planning, and management of groundwater purposes in India and other countries. The main purpose of this book will develop better outlines for the development of surface and groundwater and management in the semi-arid region climate, which supports the Sustainable Development Goals (SDGs) in India, especially on sustainable surface water and groundwater resources management.

This book provides amultidisciplinary overview for the faculty members, administrators scientists, policymakers, social science, and professionals involved in the various aspects of sustainable groundwater development, planning, and management.


商品描述(中文翻譯)

本書解釋了在印度和其他國家面臨的高效可持續地表水和地下水開發與管理的挑戰,並著重於使用機器學習數據挖掘方法和建模來提供穩定的輸出呈現。它結合了機器學習、建模、Google Earth Engine、氣候數據建模、遙感和地理信息系統技術、地表水建模、AHP建模、地下水質量分析、含水層圖繪製、土地利用和土地覆蓋分析、水和降雨預測等,並將其應用於印度和其他國家地下水可持續發展、規劃和管理的目的。本書的主要目的是在半乾旱氣候地區為地表水和地下水的發展和管理制定更好的大綱,以支持印度的可持續發展目標(SDGs),特別是在可持續地表水和地下水資源管理方面。

本書為教職員工、管理人員、科學家、政策制定者、社會科學和從事可持續地下水開發、規劃和管理各個方面的專業人士提供了一個跨學科的概述。

作者簡介

Dr Chaitanya B. Pande: He completed Ph.D. in Environment Science from Sant Gadge Baba Amravati University, Amravati and M.Sc. in Geoinformatics from Amravati University in 2011. His research interests include Remote Sensing, GIS, Google Earth Engine, Machine Learning, Watershed management, Hydrogeology, Hydrological Modeling, Drought Monitoring, Land Use and Land Cover analysis, Groundwater Quality, urban planning, Hydro-geochemistry, Groundwater Modelling, Geology, Hyperspectral Remote Sensing, Remote Sensing and GIS application in natural resources management, watershed management and Environmental Monitoring and assessment subjects. Dr Pande has more than 11 years of teaching, research and industrial experience. So far, he has published above 70 international and national research papers, 1 textbook, 3 edited book, 19 conferences papers and 18 book chapters with more than 1462 citations. He also acts as a reviewer for several scientific journals of the Internationalreputes with editorial board member in Journal of American Journal of Agricultural and Biological Sciences.

Dr Manish Kumar, Assistant Professor (Con.), College of Agricultural Engineering and Technology, Dr Rajendra Prasad Central Agricultural University, Pusa, Bihar. He completed his B.Tech in Agricultural Engineering from Dr. Rajendra Prasad Central Agricultural University, Pusa, Bihar, M.Tech (SWCE) from MPUAT, Udaipur, Rajasthan, and obtained his Ph.D. in Soil and Water Conservation Engineering from G.B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand. Before joining RPCAU, he worked as Research Associate-III at WRDM Department, IIT Roorkee. He has published more than 30 research paper in National and International Journals with more than 260 citations. Dr Kumar received several awards for his contributions in the field of research and academics. He acts as reviewers for several scientific reputed journals. His research interests include hydrological modelling, watershed management, Remote Sensing and GIS, Land Use/Land Cover Analysis, application of AI in meteorological data estimation, climate change, groundwater modelling.

Er. N. L. Kushwaha: Scientist, ICAR-Indian Agricultural Research Institute (IARI), Pusa Campus, New Delhi, India. For the past three years he has been involved in teaching and research. He completed his M. Tech. in Soil and Water Engineering from Punjab Agricultural University (PAU), Ludhiana, Punjab, India. Before joining IARI, he served as an Assistant Agricultural Engineering (AAE) at National Seeds Corporation Ltd., Hisar, Haryana for over 3 years, while he explored the sensor-based irrigation system and center pivot irrigation system for precise water application. By far, he has published 30 research papers in national and international journals with more than 250 citations. His research interests include AI in water resource management and planning, Remote Sensing, GIS, Climate change, Watershed modelling and management, Hydrogeology, Hydrological Modelling, Land use and land cover analysis, and Hyperspectral remote sensing in natural resources management.


作者簡介(中文翻譯)

Dr Chaitanya B. Pande: 他於2011年在Amravati大學獲得地理信息學碩士學位,並在Sant Gadge Baba Amravati大學獲得環境科學博士學位。他的研究興趣包括遙感、地理信息系統、Google Earth Engine、機器學習、流域管理、水文地質學、水文模型、干旱監測、土地利用和土地覆蓋分析、地下水質量、城市規劃、水文地球化學、地下水模型、地質學、高光譜遙感、遙感和地理信息系統在自然資源管理、流域管理和環境監測和評估等領域。Pande博士擁有超過11年的教學、研究和工業經驗。到目前為止,他已發表了70多篇國際和國內研究論文、1本教科書、3本編輯書、19篇會議論文和18篇專書章節,引用次數超過1462次。他還擔任多個國際知名科學期刊的審稿人,並擔任《美國農業和生物科學期刊》的編委會成員。

Dr Manish Kumar: 比哈爾邦普薩的Dr Rajendra Prasad Central Agricultural University的農業工程學院助理教授。他在比哈爾邦普薩的Dr Rajendra Prasad Central Agricultural University獲得農業工程學士學位,並在拉賈斯坦邦烏代布爾的MPUAT獲得水土保持工程碩士學位,並在北阿坎德邦潘特納加爾的G.B. Pant University of Agriculture and Technology獲得土壤和水資源保護工程博士學位。在加入RPCAU之前,他在印度羅爾基工學院的WRDM部門擔任研究副研究員。他已在國內外期刊上發表了30多篇研究論文,引用次數超過260次。Kumar博士因其在研究和學術領域的貢獻而獲得了多個獎項。他擔任多個科學知名期刊的審稿人。他的研究興趣包括水文模型、流域管理、遙感和地理信息系統、土地利用/土地覆蓋分析、應用人工智能進行氣象數據估算、氣候變化、地下水模型等。

Er. N. L. Kushwaha: 印度農業研究所(IARI)普薩校區的科學家。在過去的三年中,他一直從事教學和研究工作。他在印度旁遮普農業大學(PAU)獲得了土壤和水資源工程碩士學位。在加入IARI之前,他在哈里亞納那瑟斯國家種子公司擔任助理農業工程師(AAE)超過3年,期間他探索了基於傳感器的灌溉系統和中心樞軸灌溉系統以實現精確的水資源應用。到目前為止,他已在國內外期刊上發表了30篇研究論文,引用次數超過250次。他的研究興趣包括人工智能在水資源管理和規劃中的應用、遙感、地理信息系統、氣候變化、流域模擬和管理、水文地質學、水文模型、土地利用和土地覆蓋分析,以及高光譜遙感在自然資源管理中的應用。