Comparative analysis of estimation of slope-length gradient (LS) factor for entire Afghanistan
Author:
Affiliation:
1. Department of Water Resources and Environmental Engineering, Helmand Higher Education Institute, Lashkar Gah City, Afghanistan
2. Department of Civil Engineering, Izmir Institute of Technology, Izmir, Turkey
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences,General Environmental Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/19475705.2023.2200890
Reference85 articles.
1. ADB-CMS. 2019. Afghanistan: Arghandab Integrated Water Resources Development Project-Asian Development Bank (ADB).
2. Remote sensing and GIS to assess soil erosion with RUSLE3D and USPED at river basin scale in southern Italy
3. AIMS-FAO. 2004. Watershed atlas of Afghanistan. Rome Italy: AIMS-FAO.
4. Mapping soil erosion and sediment yield susceptibility using RUSLE, remote sensing and GIS (Case study: Cham Gardalan Watershed, Iran);Arekhi S;J Adv Environ Biol,2012
5. Baby A Nair A. 2016. Soil erosion estimation of Kuttiyadi River basin using RUSLE. Int Adv Res J Sci Eng Technolo. 3(3):275–279.
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