Climate Change Impact on Groundwater Resources: Human Health Risk Assessment in Arid and Semi-arid Regions

Author Biography

Dr. Balamurugan Panneerselvam is a Postdoctoral researcher in the Department of Civil, Architectural and Environmental Engineering, University of Naples Federico II, via Claudio 21, 80125, Naples, Italy. His current research interests include groundwater quality assessment for drinking, irrigation and human health risk associate with major contaminants such as nitrate and fluoride in arid and semi-arid region and also related to groundwater related issues. He extended his research interest in the flied of wastewater treatment using moving bed bioreactors, performance evaluation of bioreactor in biogas unit. He received his Doctoral degree from the Anna University Chennai in 2019. His thesis was based on the groundwater quality assessment using GIS techniques in Salem district, India. He has published more than 50 papers in international and national journals. He is privileged to act as Technical Reviewer in journals in the platform of Springer, Elsevier and MDPI. With his immense interest in multidisciplinary research, his recent investigations are focused on parameter estimation using machine learning algorithms, innovative floating structures, and GIS-based potential assessment of photovoltaic systems in India. Dr. Chaitanya B. Pande  completed Ph.D. in Environment Science from Sant Gadge Baba Amravati University, Amravati and M.Sc. in Geoinformatics from Amravati University in 2011.  He has more than 10 years of teaching, research and industrial experience. He is a reviewer for several scientific journals of the international repute with editorial board member in Journal of American Journal of Agricultural and Biological Sciences. He has published 57 research papers, 1 textbook, 1 edited book entitled “Groundwater Resources Development and Planning in the Semi-Arid Region” in springer platform, 19 conference papers and 5 book chapters with more than 840 citations. His research interests includes 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. M. Kirubakaran, basically a civil engineer and completed M.Tech in Remote Sensing at Anna University Regional Campus, Tirunelveli, TN, India and currently pursuing Ph.D under the faculty of Civil Engineering, Anna University, Chennai, TN, India in the area of Microwave Remote Sensing (InSAR). He has published more than 25 research articles in reputed international journals of Springer, Taylor and Francis, and Elsevier which includes “Environmental Research, Marine Pollution Bulletin, Environmental Geochemistry and Health, International Journal of Environmental Analytical Chemistry, Environmental Science and Pollution Research, Human and Ecological Risk Assessment, etc”. Kirubakaran’s research broadly focuses on Remote Sensing & GIS applications for Environmental issues, Water Resource management, Air Pollution, Solid Waste Management, Subsidence monitoring, Disaster management, Climatic Change, Urban Planning etc. He is privileged to act as Technical Reviewer in Journals including Applied Water sciences (Springer Publisher), Asia-Pacific Journal of Regional Science, Proceedings of National Academy of Sciences Part A Physical Sciences, Marine Georesources and Geotechnology etc. He is a Life Member of Indian Society of Remote Sensing, Member of International Society for Research and Development (ISRD), Associate Member of Institute of Engineers (India), and life member of Indian National Cartographic Association. Dr B. Anand M.Tech, Ph.D (KIT-Kalaignar karunanidhi Institute of Technology, Coimbatore) has completed his under graduation (B.Tech Geotechnology and Geoinformatics) in Centre for Remote Sensing, Bharathidasan University, Tiruchirappalli and M.Tech (Remote Sensing and GIS) in Regional Centre of Anna University, Tirunelveli and he completed his Ph.D in Remote Sensing and GIS with the specialization of Hydro informatics. He has worked in the NRDMS-DST Project as a JRF/SRF for three years of period. He has more than five years of research and one year of teaching experiences. He has expertise in the field of Remote Sensing, GIS and Hydro informatics with respect to Water Resources Management, Natural Resources mapping, Landslide Mapping and agricultural crop management.  He has published more 10 national and international research articles in the reputed journals to his credit. He is privileged to act as Technical Reviewer in journals in the platform of Springer and Elsevier.  Currently, he has working in the field of Agriculture Engineering with respect to Remote Sensing, GIS and Geoinformatics applications. Dr. Nagavinothini Ravichandran is a postdoctoral researcher in the Department of Ocean Engineering at the University of Naples Federico II, Italy. Her current research interests include computer-aided analysis of structures, earthquake engineering and structural control, floating photovoltaic systems, and machine learning applications in engineering problems. She received her Ph.D. in Ocean Engineering from the Indian Institute of Technology Madras in 2019. Her thesis is based on the dynamic analysis of offshore structures under environmental and accidental loads. She was a University first rank holder and gold medallist in her undergraduate and postgraduate studies. She has published around 50 international journals and conferences. In addition, she co-authored a textbook titled “Offshore Compliant Platforms: Analysis, Design, and Experimental Studies”. She is an Associate Member of the American Society of Civil Engineers and a Life Member of the Indian Society for Technical Education. With her immense interest in multidisciplinary research, her recent investigations are focused on parameter estimation using machine learning algorithms, innovative floating structures, and GIS-based potential assessment of photovoltaic systems in India.