Soil-Water, Agriculture, and Climate Change

This book presents an exploration of linkages among soil-water, agriculture, and climate change with a special focus on thematic areas for assessment, mitigation, and management of natural resources under climate change conditions. This book covers advances in modelling approaches, including machine learning (ML)/ artificial intelligence (AI) applications; GIS and remote sensing; sensors; impacts of climate change on agriculture; subsurface water; contaminants; and socio-economic impacts, which are lacking in a more comprehensive manner in the previous titles. This book encompasses updated information as well as future directions for researchers working in the field of management of natural resources. The goal of this book is to provide scientific evidence to researchers and policymakers and end-to-end value chain practitioners which may help in reducing the overall adverse impacts of climate change on water resources and the related mitigation strategies. This book focuses on the knowledge, modern tools, and techniques, i.e., machine learning, artificial intelligence, etc. for soil-water, agriculture, and climate change. Further, nature-based solutions for management of natural resources with special targets on contaminants, extreme events, disturbances, etc. will be targeted. The book provides readers with the enhanced knowledge for application of engineering principles and economic and regulatory constraints to determine a soil-water, agriculture production action strategy, and select appropriate technologies to implement the strategy for a given data set at a site. It would also cover the application of laboratory, modeling, numerical methods for determination and forecasting of climate change impacts, agriculture production, pollution, soil health, etc. Overall, it provides hydrologists, environmental engineers, administrators, policy makers, consultants, and industrial experts with essential support in effective management of soils health, agricultural productions, and mitigation of extreme climatic events.

Provides understanding linkages among subsurface hydrology-agriculture practices-climatic changes Insights into the natural resources management under varying climatic conditions Covers machine learning and impacts of climate change on agriculture productivity

Auteur
Dr. Swatantra Kumar Dubey is currently working as a researcher professor at Seoul National University of Science and Technology, Seoul, South Korea. His research focuses on water and food security indicators development using hydrological and crop modeling. Dr. Dubey holds experience in the impacts of climate and land-use changes, water resources management, droughts, water quality and climate extremes. He received M.Sc. (Tech) in environmental science and technology from the Banaras Hindu University, India, and graduated from the Central University of Rajasthan, India. Dr. Dubey has worked with different institutes i.e. CSIR-National Environmental Engineering Research Institute (CSIR-NEERI), Indian Agricultural Research Institute: ICAR (New Delhi) and Indian Institute of Science Education and Research (IISER) Bhopal, Madhya Pradesh. He has reviewed several research articles for reputed journals like River Research and Applications, International Journal of River Basin Management, Geology, Ecology, and Landscapes, Remote Sensing Letters, Sustainability, Water, Diversity, International Journal of Environmental Research and Public Health, ISH Journal of Hydraulic Engineering and others. He is a lifetime member of the Indian Meteorological Society and a core-member of the society of young agriculture and hydrology scholars of India (www.syahindia.org).

Dr. Prakash Kumar Jha is currently working as a postdoctoral researcher at the Feed the Future Sustainable Intensification Innovation Lab (SIIL), Kansas State University, USA. He is a crop modeler with interest in sustainable agricultural systems. His specific research interests focus on investigating the influence of agronomic management on crop growth and development from field to ecological scale. He investigates complexities in agricultural systems, integrating crop simulation models, remote sensing, and climate forecast to formulate decision support systems for better management strategies at multiple scales of agroecosystems. He is passionate about teaching and the opportunity to mentor students interested in sustainable agricultural landscapes and fundamentals of digital agroecosystems. He has published more than 20 research papers and has reviewed several research articles for reputed journals like, Agricultural Systems, Agronomy, Agronomy Journal, Computers and Electronics in Agriculture, Crop and Pasture Science, Environmental Modeling & Software, Environmental Research Letters, Nature sustainability, Plant Methods, Plants, Scientific Reports, Sustainability, Water, and others.

Dr. Pankaj Kumar Gupta is a contaminant hydrogeologist, after having completed his Ph. D from IIT Roorkee, he has been a Postdoctoral fellow at the University of Waterloo, Canada. Recently he has been awarded prestigious Ramanujan fellowship of the SERB (Govt. of India). The majority of his works focus on two areas: (1) understanding the soil moisture flow and pollutant mobility into soil-water systems and (2) developing water resource, pollution management strategies. Dr Gupta holds his in depth experience of incorporating novel technologies (viz. geophysical investigations, groundwater modelling, aquifer mapping and water quality assessment etc.) to map aquifers of 30+ sites in India. He also teaches and guides master and Ph. D students with diversified knowledge. He has received an AGU Travel Grant (2017), JPGU Travel Grant (2018), and EXCEEDSWINDON and DAAD Germany Grant (2018). He serves as an editorial board member for SN Applied Sciences, Biochar, Carbon Research and Frontiers in Water journals. He has published more than 20 research papers, approximately 30 book chapters, edited 2 books and two popular science articles. He has reviewed several research articles for reputed journals including RSC Advances, Groundwater for Sustainable Development, ASCE JEE, ASCE Irrigation and Drainage, Env. Sc, Pollution Research, Eco-hydrology, Journal of Contaminant Hydrology, etc. Further, he has led many sites restoration and remediation consultancy projects at polluted industrial sites in India. He is core-member of the society of young agriculture and hydrology scholars of India (www.syahindia.org), a network of early-career researchers from the globe.

Dr. Aliva Nanda is currently working as a postdoctoral researcher at Sierra Nevada Research Institute, University of California, Merced, USA. Her research expertise includes understanding runoff generation mechanisms, pathways, and thresholds at micro- to macro-scale, modeling efficient irrigation systems, and optimizing irrigation efficiency. She is also exploring the ecohydrological processes of the forested catchment. Dr. Nanda graduated from the Indian Institute of Technology Roorkee, India. During her Ph.D., she has done extensive field studies to understand the hydrological processes of the Himalayan landscapes. Her Master's and Bachelor's degree are in irrigation and drainage engineering and agricultural engineering, respectively. She also receives University Gold Medal and Governor's award for her outstanding academic performance. Besides these, Dr. Nanda bagged many travel fellowships, i.e., Lloyd V. Berkner Travel Fellowship, American Geophysical Union (AGU) student travel grant, Japan Geophysics Union (JpGU) student travel grant, AGU early-career travel grant, and academic awards till date. She has published her research in many reputed high-impact factor journals and presented at many international conferences. She is also a founding member of the Society of Young Agriculture and Hydrology scholars of India (www.syahindia.org), which aims to d…