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English
Elsevier Science Publishing Co Inc
14 December 2021
Advances in Remediation Techniques for Polluted Soils and Groundwater focuses on the thematic areas for assessment, mitigation, and management of polluted sites. 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 geogenic contaminants; and socio-economic impacts in the poor rural and urban areas, 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 and remediation of polluted sites.

Edited by:   , , , , , , , , ,
Imprint:   Elsevier Science Publishing Co Inc
Country of Publication:   United States
Dimensions:   Height: 235mm,  Width: 191mm, 
Weight:   810g
ISBN:   9780128238301
ISBN 10:   0128238305
Pages:   406
Publication Date:  
Audience:   Professional and scholarly ,  College/higher education ,  Undergraduate ,  Further / Higher Education
Format:   Paperback
Publisher's Status:   Active
1. Water is life: Implications of multi-pollutants around the globe 2. Subsurface pollution by geogenic, industrial, and emerging pollutants 3. Soil contamination: efficacy of fertilizer, sawdust and horse manure application as a treatment technique for oil-polluted soil in the tropics 4. Groundwater pollution and Climate change: Advances in interlinking tools 5. Advances in modeling and laboratory analysis for multi-phase flow in porous media 6. Large scale (2D/3D) laboratory experiments and numerical modeling to assist PAHs behaviours in the subsurface 7. Heavy metals and metalloids in subsurface environment: environmental and health hazards and bioremediation strategies 8. Flow and movement of gaseous pollutants in the subsurface: CO2 and CH4 dynamics at a CCS site 9. Density driven flow, saline water intrusion- Consequences and Current status 10. Fate of selenium and naturally occurring materials in soil and groundwater: role of isotopic techniques in assessment and remediation 11. Impacts of climatic variability on subsurface water resources and nitrate-N movement 12. Advancement in groundwater quality modeling: Conceptual and Computational models 13. Simulation-Optimization Approaches in remediation system design 14. Estimation of groundwater recharge and its impacts on groundwater quality 15. Evaluation of Machine Learning-Based modeling approaches in groundwater quantity and quality prediction 16. Remote sensing and GIS application in contaminant mapping and prediction 17. Uncertainty in groundwater quality modeling: Causes and impacts 18. A comparative study of Artificial Neural Network and Genetic Algorithm Model for the prediction of Fluoride in the Groundwater: A case study of Rajasthan, India 19. Assessing the risks of interaction between the natural water table and on-site wastewater treatment systems 20. Soil erosion risk assessment over an agricultural watershed 21. Managed aquifer recharge structures for fluoride remediation in India 22. Column Adsorption Studies for the Removal of Chemical Oxygen Demand from Fish Pond Wastewater using Waste Alum Sludge 23. Micro-plastic in the subsurface: extraction and characterization from sediments of River Ganga near Patna, Bihar 24. Development in microbial techniques for management and remediation of PPCPs polluted sites 25. Riverbank infiltrations- sustainable tool for rural faecal contaminations 26. Economical risk analysis for Management and Remediation of polluted sites 27. Evaluation of health risk analysis for industrial pollutants 28. Understanding the Hydrogeology of Polluted Sites 29. Groundwater Policy- What need to modify? 30. Applicability, Implications and Development for Treatment of Polluted Groundwater

Dr. Pankaj Kumar Gupta is a post-doctoral fellow in the faculty of environment, University of Waterloo since Dec., 2018. His current research is focussed on investigating the behavior of pollutants in peatlands (Canada) and mineral aquifers (India) under dynamically fluctuating groundwater table conditions. Majority of his works focus on two areas: (1) understanding the occurrence of bio-geo-chemical interactions when pollutants migrate into groundwater systems; and (2) developing remediation strategies. He received Ph.D. from Department of Hydrology, Indian Institute of Technology Roorkee on title “Fate and Transport of LNAPL under varying subsurface conditions”. He has been qualified National Eligibility Test (NET-Dec 2013) with Junior research fellowship conducted by University Grant Commission (UGC), Government of India. He has also qualified Agricultural Scientist Recruitments Boards NET in Environmental Sciences (2014). He is an awardee of AGU Student Travel Grant (2017), JPGU Travel Grant (2018), EXCEED-SWINDON & DAAD Germany Grant (2018). He serves as an editorial board member for SN Applied Sciences. He has published ~10 research papers, ~15 book chapters, 2 popular science articles. He reviewed several research articles for reputed journals including RSC Advances, Groundwater for Sustainable Development, ASCE JEE, ASCE Irrigation and Drainage, Env. Sc, Pollution Research, Ecohydrology, J. of Contaminant Hydrology etc. He will be serving as a convener for the session “GH027-Water is life: Understanding Geogenic Groundwater Contamination and Improving Public Health through Assessment, Water Quality Modeling, and Water Supply Management” in forthcoming AGU Fall Meeting 2019. He has performed many site restoration and remediation consultancy projects at industrial polluted sites in India. Dr Basant Yadav Ph.D. (Civil Engineering), is a postdoctoral fellow in Water Science Institute of Cranfield University (UK), working on groundwater quality and quantity management. Specific focus of Dr Yadav’s research includes flow and transport processes in ground water and in the vadose zone; hydroinformatics; managed aquifer recharge. Dr. Yadav's research emphasizes the Integration of Experimental, Numerical and data based modeling approaches for the better and efficient management of the groundwater quantity and quality. His work uses a range of numerical, statistical, and stochastic modeling approaches and experimental work to analyze the fate and transport of contaminant in saturated and unsaturated zones. Dr. Yadav is an agricultural engineer and received his M.Tech in hydrology jointly from Indian Institute of Technology Roorkee (India) and Technical University Stuttgart (Germany). He did his PhD from Indian Institute of Technology Delhi (India) on ‘Application of soft computing techniques in water quality and quantity modeling’. He was awarded prestigious National Postdoctoral fellowship (NPDF) in 2017 to work on his postdoctoral project in Indian Institute of Science Bangalore, India. He has received scholarships like DAAD (Germany), MHRD (India) for his masters and PhD work. He has authored/co-authored more than fifteen research publications in high impact journals such as journal of Hydrology, Hydrological Science, Journal of Environmental Engineering, Journal of Hydrologic Engineering, and Measurement Journal. Dr. Yadav has presented his work in highly reputed meeting like AGU (December- 2014, USA), AOGS (August-2017, Singapore), JpGU (June-2018, Japan). He is a member of the American Geophysical Union (AGU), Asia Oceania Geosciences Society (AOGS) and Japan Geoscience Union (JpGU). He is the reviewer of high repute journals like Science of Total Environment, Hydrological processes, Journal of Hydrology, Journal of Hydrologic Engineering, Water Resources Management, ISH Journal of Hydraulic Engineering and Journal of Hydroinformatics. Dr. Sushil Kumar Himanshu is an Assistant Professor in the Department of Food, Agriculture and Bioresources, School of Environment, Resources and Development, Asian Institute of Technology, Pathum Thani (Thailand). Dr. Himanshu’s scientific and professional interests are in the areas of Precision Farming, Climate-resilient Agriculture Systems, On-farm Irrigation Water Management, Remote Sensing and GIS Applications in Agriculture, Applications of Unmanned Aerial Systems (UAS) and Wireless Sensors in Agricultural Applications, Big Data Analysis and Applications, Machine Learning Applications in Agriculture, and Hydrologic/Cropping System Modelling.

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