Hydrological Insights: Synergizing Groundwater Models, Remote Sensing, and AI for Water Sustainability offers an in-depth exploration of hydrological modeling and its cutting-edge advancements, presented across six comprehensive sections. Part I establishes the foundational principles and methodologies of hydrological modeling, while Part II delves into sophisticated techniques and tools that enhance the accuracy and efficiency of hydrological studies. Part III highlights the powerful integration of remote sensing and artificial intelligence, showcasing how these technologies revolutionize modern hydrological practices.
Part IV focuses on environmental impact assessment and management strategies, outlining effective methods for sustainable water resource management. Part V covers the latest advancements in remote sensing and machine learning, emphasizing their pivotal role in contemporary hydrology. Finally, Part VI presents real-world case studies and future directions, offering practical insights and forward-looking perspectives. With meticulously crafted chapters that combine theoretical foundations with practical applications, this book is an essential resource for students, researchers, and professionals seeking to advance their understanding of hydrology through the integration of remote sensing and AI.
Hashemi, Hossein: -
Hossein Hashemi is an associate professor (universitetslektor) at the Department of Water Resources Engineering and Center for Advanced Middle Eastern Studies at Lund University. He obtained his Ph.D. in Water Resources Engineering, where he specialized in groundwater management, water harvesting techniques, and groundwater artificial recharge. These techniques are essential in ensuring the availability of water supply and reaching sustainable water resources use in arid regions. Before joining Lund University, he served as a research engineer at the Center for Agriculture and Natural Resources in Iran for several years.
After Ph.D., he worked as a postdoctoral scholar at the Center for Groundwater Evaluation and Management (GEM), Department of Geophysics at Stanford University, USA, between 2015 and 2017. During his time at Stanford, he focused on the application of remote sensing techniques in the field of hydrology and groundwater hydrology. This included studying various aspects such as precipitation, groundwater, and subsidence.
Hossein's research interests mainly revolve around remote sensing, artificial intelligence, climate change, and surface water and groundwater management.
Kumar, Amit: -
Dr. Amit Kumar is a Professor of Hydrology and Water Resources at Nanjing University of Information Science and Technology. He obtained his M.Tech and PhD from the Indian Institute of Technology (IIT) Roorkee and conducted his postdoctoral research at Hohai University, China. Dr. Kumar's research spans the ecological health of aquatic habitats, water quality modeling, and water security practices to meet the Sustainable Development Goals. He has published five books, including Elsevier's Climate Change in the Himalayas, and is an advisory board member for the Elsevier journal Ecological Indicators.
Kumar, Krishna: -
Dr. Krishna Kumar (Member, IEEE) has more than 14 years of experience in Renewable Energy Development. He is presently a researcher at the Department of Water Resources Engineering and Center for Advanced Middle Eastern Studies at Lund University, Sweden. He holds a PhD in Renewable Energy. He worked as a postdoctoral research fellow at the School of Electrical and Electronics Engineering in the Rolls-Royce Corporate Lab, Nanyang Technological University, Singapore, from February 2023 to March 2024. Prior to that, he worked as a Senior Engineer at UJVN Ltd. (A State Government PSU of Uttarakhand (India)) from January 2013 to February 2023. His expertise includes the design, installation, commissioning, testing, and operation & maintenance of hydro, solar, and wind power plants. Dr. Kumar has also served as an Assistant Professor/Lecturer on the term appointment basis at Kumaon Engineering College, Dwarahat, Uttarakhand (India); Bharat Institute of Technology, Meerut (India); and Uttaranchal Institute of Technology, Dehradun (India), for more than three years. Dr. Kumar has published numerous highly cited SCI/SCIE research articles in reputed journals. He has also authored/edited 12 books with publishers such as Elsevier, Wiley, Taylor & Francis, Springer, and River Press. His current research interests include Renewable Energy, Multiphase Machines, Electrical Equipment Health Monitoring Systems, AI/ML, and data science.
