1st Edition
Erosion Measurement, Modeling, and Management Challenges and Solutions
1. Impact of Land Use and Land Cover Changes on Soil Erosion
Pritam Das, Abhinav Kumar, Vinay Kumar Gautam, and Abhishek Agrawal
2. Role of Mulching in Reducing Erosion
Rageswari Subudhi, Pritam Das, Abhinav Kumar, Jaripiti Trivikrama Raju, Vinay Kumar Gautam, Narendra Kumar Yadav, and Mehraj U. Din Dar
3. Assessment and Management of Wind Erosion
Rageswari Subudhi, Jaripiti Trivikrama Raju, Vinay Kumar Gautam, Abhinav Kumar, Pritam Das, and Abhisek Agrawal
4. Assessing Erosion Using Hypsometric Analysis in the Subarnarekha River Basin
Supriya Singh and Ashim Ghosh
5. Runoff and Sediment Monitoring Using the WEPP Model
Mahrukh, Shakeel Ahmad Bhat, Rohitashw Kumar, Dinesh Kumar Vishwakarma and Owais Bhat
6. USLE Method for Erosion Prediction and Conservation Measures at the Air Dingin Watershed of the Upstream Part in Padang City, Indonesia
Aprizon Putra, Dedi Hermon, Indang Dewata, Eri Barlian, and Triyanto
7. Assessing Water Erosion Using the Soil Water Assessment Tool (SWAT)
Navneet Sharma, Rajat Mishra, P. V. Singh, Rohit Pratap Ojha, and Vishnu Ji Awasthi
8. Challenges and Limitations of Using Soil Erosion Models
Vinay Kumar Gautam, Abhishek Agrawal, and Nirmalya Kumar Nath
9. Mapping Gully Erosion Susceptibility Using the Bayesian Weight of EvidenceDimple and Jitendra Rajput
10. Gully Erosion Susceptibility Modeling Using Machine Learning Models
Dimple and Jitendra Rajput
11. Challenges and Limitations of Using Soil Erosion Models
Shreeya Baghel, Leena Rani Mishra, and Jaripiti Trivikrama Raju
Biography
Abu Reza Md. Towfiqul Islam, PhD, is an Associate Professor in the Department of Disaster Management at Begum Rokeya University, Bangladesh. He has authored one book and several book chapters, published more than 100 peer-reviewed research papers, participated in 10 conferences, and received several awards and recognitions. His research work has been funded by Begum Rokeya University under the University Grants Commission, Govt. of Bangladesh. He is a review editor for Frontiers in Water and guest editor of Frontiers in Climate and has also served as a reviewer for many international reputed journals.
Alban Kuriqi, PhD, is a Research Scientist at CERIS–Civil Engineering Research and Innovation for Sustainability, University of Lisbon, Portugal. His expertise focuses on renewable energy, river restoration and management, floods and droughts, hydraulic structures, sustainable drainage systems, long-term meteorological and hydrologic trends and variability analysis, artificial intelligence applications in the field hydraulics and hydrology, etc. He has received scientific awards and fellowship grants. He has co-organized conferences and has published over 100 papers and several book chapters. He is a reviewer for journals and conferences and for Marie Sklodowska-Curie’s research proposal grants.
Shakeel Ahmad Bhat, PhD, holds a PhD in Soil and Water Engineering from the College of Agricultural Engineering at Sher-e-Kashmir University of Agricultural Sciences and Technology (SKUAST-K), India. He has worked on hydroponics technology during his PhD program. He is an author of several scientific articles and book chapters and three books. He has presented and participated at state, national, and international conferences, seminars, and workshops and is also a reviewer for various international journals.
Ahmed Elbeltagi, PhD, is a Researcher in the Agricultural Engineering Department at Mansoura University, Egypt. He was a guest editor for a special issue on water pollution and treatment by the American Journal of Agricultural and Biological Sciences and is a board member of the Journal of Agricultural Studies, American Journal of Agricultural and Biological Sciences, Agricultural Water Management, Computers and Electronic in Agriculture, Advances in Water Resources, Journal of Hydrology, and Water Resources Management. He has published research papers in in the area of water footprint, water management, and hydrologic modeling with machine learning, deep learning, GIS, and RS techniques.
