Estimation of Soil Loss by Revised USLE Model using Geospatial Techniques: A Case Study of Sainj Valley, Northwestern Himalaya, India
Journal of Geography, Environment and Earth Science International · pp. 130–144 · Published 18 Oct 2023
10.9734/jgeesi/2023/v27i10721Abstract
Soil erosion is a severe environmental problem. The current study is being conducted in Sainj valley of Himachal Pradesh. An increase in soil erosion rates has significant effects on land degradation, biodiversity loss, productivity and other factors. The Revised Universal Soil Loss Equation (RUSLE) model along with, Geographic Information System (GIS) and Remote Sensing (RS), was used in current study to quantify soil loss in the Sainj valley. Five important parameters like, Rainfall erosivity factor (R), Soil erodibility factor (K), Slope length and steepness (LS), Cropping management factor (C), and support practice factor (P) have been used to estimate the amount of soil loss in the study area. All these maps were created in GIS software using a variety of data preparation methods. The rainfall erosivity factor ranged between 501.19 to 1097.23 mt ha-1 cm-1. Spatial distribution of conservation support practice on soil loss indicated the variability (0–1) where lower value represents the higher conservation practice. The results show that average annual predicted soil loss is between 0 to 541.52tons/ha/yr and the predicted Average soil erosion rate was 11.15 tons/ha/Yr. Predicted soil loss was classified into six Erosion intensity classes Negligible (0-5), Low Erosion (5-10), Moderate Erosion (10-25), Moderately high (25-75), High Erosion (75-100), Extremely High Erosion (>100) From soil loss estimation it was observed that 62 % of the area is having very low erosion intensity and 0.37% of the study area having Extremely High erosion intensity. These findings can help the decision makers further in developing a suitable conservation program to prevent soil erosion.
References (32)
- 1 Predicting soil erosion by water : a guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE)
- 2 Monitoring the vernal advancement and retrogradation (green wave effect) of natural vegetation
- 3 Assessment of soil erosion by RUSLE model using remote sensing and GIS - A case study of Nethravathi Basin [DOI]
- 4 Physiological responses of the European cockle Cerastoderma edule (Bivalvia: Cardidae) as indicators of coastal lagoon pollution [DOI]
- 5 Estimation of soil erosion risk within a small mountainous sub-watershed in Kerala, India, using Revised Universal Soil Loss Equation (RUSLE) and geo-information technology [DOI]
- 6 A New European Slope Length and Steepness Factor (LS-Factor) for Modeling Soil Erosion by Water [DOI]
- 7 Identification of critical erosion prone areas in the small agricultural watershed using USLE, GIS and remote sensing [DOI]
- 8 Slope Length Effects on Soil Loss for Steep Slopes [DOI]
- 9 Modelling Erosion and Deposition: Topographic Effects [DOI]
- 10 Sarki Yandoka, B.M., Abdullah, W.H., Abubakar, M.B., Hakimi, M.H., Mustapha, K.A., Adegoke, K.A., (2015). Organic geochemical characteristics of Cretaceous Lamja Formation from Yola Sub-basin, Northern Benue Trough, NE Nigeria: Implication for hydrocarbon generating potential and paleodepositional setting. Arabian Journal of Geosciences, DOI 10.1007/s12517- 014-1713-3 (ISI-cited). [DOI]
- 11 Estimating the LS Factor for RUSLE through Iterative Slope Length Processing of Digital Elevation Data within Arclnfo Grid [DOI]
- 12 Estimation of C factor for soil erosion modeling using NDVI in Buyukcekmece watershed
- 13 Interrill erosion from disturbed and undisturbed samples in relation to topsoil aggregate stability in red soils from subtropical China [DOI]
- 14 Mapping soil erosion susceptibility using remote sensing and GIS: a case of the Upper Nam Wa Watershed, Nan Province, Thailand [DOI]
- 15 An integrated approach of GIS, RUSLE and AHP to model soil erosion in West Kameng watershed, Arunachal Pradesh [DOI]
- 16 Soil erodibility indices under different land uses in Ri-Bhoi district of Meghalaya (India) [DOI]
- 17 Computation of rainfall erosivity from daily precipitation amounts [DOI]
- 18 Soil erosion assessment by RUSLE model using remote sensing and GIS in an arid zone [DOI]
- 19 Study on Soil Erosion Driving Forces by Using (R)USLE Framework and Machine Learning: A Case Study in Southwest China [DOI]
- 20 The relationships between erodibility and erosion in a soil treated with two organic amendments [DOI]
- 21 Assessment of the cover changes and the soil loss potential in European forestland: First approach to derive indicators to capture the ecological impacts on soil-related forest ecosystems [DOI]
- 22 Assessment of soil loss by universal soil loss equation (USLE) model using GIS techniques: a case study of Gumti River Basin, Tripura, India [DOI]
- 23 Soil Erosion Susceptibility Assessment of the Lower Himachal Himalayan Watershed [DOI]
- 24 Evaluation of Annual Rainfall Erosivity Index Based on Daily, Monthly, and Annual Precipitation Data of Rainfall Station Network in Southern Taiwan [DOI]
- 25 Evaluation of Rainfall Erosivity Factor Estimation Using Machine and Deep Learning Models [DOI]
- 26 Soil Erodibility Characteristics Under Modified Land-Use Systems as Against Shifting Cultivation in Hilly Ecosystems of Meghalaya, India [DOI]
- 27 An Upscaling Method for Cover-Management Factor and Its Application in the Loess Plateau of China [DOI]
- 28 Determining and Mapping Soil Erodibility Factor (Case Study: Yamchi Watershed in Northwest of Iran) [DOI]
- 29 Spatial and temporal variability of sediment and dissolved loads from two alpine watersheds of the Lesser Himalayas [DOI]
- 30 Assessment of land degradation due to soil erosion based on current land use/landcover pattern using RS and GIS techniques [DOI]
- 31 Estimation of Soil Erosion using USLE and GIS [DOI]
- 32 INTEGRATION OF GIS AND UNIVERSAL SOIL LOSS EQUATION (USLE) FOR SOIL LOSS ESTIMATION IN A HIMALAYAN WATERSHED [DOI]
Cited by 1
P. Rawat, Khrieketouno Belho, M. S. Rawat · Journal of the Indian Society of Remote Sensing · 2024
Related research
- Modelling of Soil Loss through RUSLE2 for Soil Management in an Agricultural Field of Uccle, Belgium — shares topic coverage
- Impact Assessment of Land Use/ Land Cover Change on Soil Erosion and Rural Livelihood in Andit Tid Watershed, North Shewa, Ethiopia — shares topic coverage
- The Influence of Selected Soil Conservation Practices on Soil Properties and Crop Yields in the Usambara Mountains, Tanzania — shares topic coverage
- Review on Dynamics of Soil Erosion and Conservation Efforts in Ethiopia — shares topic coverage
- Soil Fertility and Crop Yield Variability under Major Soil and Water Conservation Technologies in the Usambara Mountains, Tanzania — shares topic coverage
Article metrics
Real usage data collected on this platform.
9
Page views
0
PDF downloads
1
Outbound clicks
1
Citations
Views over time
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
Traffic sources
Referring site, by host.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.