PRACA ORYGINALNA
Assessment of soil erosion in the Beas Valley, Kullu, Himachal Pradesh: A study of Western Himalayan landscape, Northern India
1
Department of Global Warming & Ecological Studies, Amity University, Noida 201303, India, India
2
Amity Institute of Global Warming and Climte Change, Amity Univeristy, Noida, India
3
Scientist, G.B. Pant National Institute of Himalayan Environment, HRC, Mohal, Kullu, Himachal Pradesh 175126, India, India
4
Geography Department, Delhi University, India
Data nadesłania: 22-10-2023
Data ostatniej rewizji: 05-02-2024
Data akceptacji: 01-03-2024
Data publikacji online: 01-03-2024
Data publikacji: 01-03-2024
Autor do korespondencji
Suraj Kumar Maurya
Department of Global Warming & Ecological Studies, Amity University, Noida 201303, India, India
Department of Global Warming & Ecological Studies, Amity University, Noida 201303, India, India
Soil Sci. Ann., 2024, 75(1)185558
SŁOWA KLUCZOWE
STRESZCZENIE
Soil erosion is a formidable global challenge with far-reaching consequences. It results in the depletion of soil nutrients, land degradation, decreased agricultural output, heightened runoff, and the exacerbation of geological hazards such as landslides and debris flows. This study focuses on the assessment of soil erosion in the Beas Valley region of Kullu, Himachal Pradesh, situated in the Western Himalaya landscape of Northern India. The research employs various datasets and a well-defined methodology to analyze the complex interactions between climate, soil, topography, and land use in order to understand and mitigate soil erosion risks. The primary data sources utilized in this study include rainfall data from the Climate Research Unit at the University of East Anglia, soil data from the Food and Agriculture Organization, Digital Elevation Model (DEM) data from the Shuttle Radar Topography Mission, and satellite imagery from Landsat. The research methodology is based on the Revised Universal Soil Loss Equation (RUSLE), a widely accepted model for assessing soil erosion. The RUSLE equation (A= R·K·LS·C·P) incorporates several factors to quantify soil erosion rates. The R-factor, derived from monthly and annual rainfall data, is used to estimate erosivity. The K-factor, determined using soil type and composition, characterizes soil erodibility. The LS-factor considers slope and flow accumulation, while the C-factor is calculated based on the Normalized Difference Vegetation Index (NDVI) from satellite imagery. Lastly, the P-factor accounts for the effectiveness of conservation practices. This interdisciplinary approach provides valuable insights into the dynamics of soil erosion in the Beas Valley region. By leveraging cutting-edge data sources, filed visit and a robust methodology, this study contributes to a better understanding of soil erosion processes in a fragile Himalaya ecosystem, facilitating informed land management decisions and environmental conservation efforts.
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