Erosion Measurement, Modeling, and Management
Apple Academic Press Inc. (Verlag)
978-1-77491-666-7 (ISBN)
Erosion control is a priority in the agriculture, construction, and conservation industries, as well as in land development applications. The everyday processes involved in these industries can often result in erosion and have a significant adverse impact on the surrounding ecology. These harmful impacts can be minimized by erosion control. This new book explores the erosion concerns and solutions for dealing with them. It addresses the impact and effects of changing land use and land cover on soil erosion and methods of assessing erosion, as well as ways to control different types of erosion. The use of models such as the WEPP model for estimating runoff and sediment yield, along with models to estimate runoff production patterns and soil erosion hazards are detailed. The book also discusses artificial neural networks and machine learning techniques (random forest), remote sensing data, and GIS for mapping soil erosion.
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.
1. Impact of Land Use and Land Cover Changes on Soil Erosion. 2. Role of Mulching in Reducing Erosion. 3. Assessment and Management of Wind Erosion. 4. Assessing Erosion Using Hypsometric Analysis in the Subarnarekha River Basin. 5. Runoff and Sediment Monitoring Using the WEPP Model. 6. USLE Method for Erosion Prediction and Conservation Measures at the Air Dingin Watershed of the Upstream Part in Padang City, Indonesia. 7. Assessing Water Erosion Using the Soil Water Assessment Tool (SWAT). 8. Challenges and Limitations of Using Soil Erosion Models. 9. Mapping Gully Erosion Susceptibility Using the Bayesian Weight of Evidence. 10. Gully Erosion Susceptibility Modeling Using Machine Learning Models. 11. Challenges and Limitations of Using Soil Erosion Models.
| Erscheinungsdatum | 30.07.2025 |
|---|---|
| Zusatzinfo | 20 Tables, black and white; 13 Line drawings, color; 16 Line drawings, black and white; 4 Halftones, black and white; 13 Illustrations, color; 20 Illustrations, black and white |
| Verlagsort | Oakville |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 700 g |
| Themenwelt | Naturwissenschaften ► Geowissenschaften ► Geologie |
| Naturwissenschaften ► Geowissenschaften ► Geophysik | |
| Technik ► Bauwesen | |
| Wirtschaft ► Betriebswirtschaft / Management ► Allgemeines / Lexika | |
| Weitere Fachgebiete ► Land- / Forstwirtschaft / Fischerei | |
| ISBN-10 | 1-77491-666-5 / 1774916665 |
| ISBN-13 | 978-1-77491-666-7 / 9781774916667 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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