Assessment of Soil Erosion within the Gayathripuzha River Basin Using RUSLE Model and GIS Tools
E.B. Gilsha Bai, Ardra Raju, K.P. Rema, K V Sumiya, Anu Varughese, J Resmi
International Journal of Environment and Climate Change · pp. 780–794 · Published 4 May 2024
10.9734/ijecc/2024/v14i44158Abstract
Soil erosion, a natural phenomenon accelerated by human activities, became a major problem for agricultural land use and for water quality concerns. Soil erosion by water is influenced by various factors like climate, nature of land surface, slope steepness, soil properties, land cover, and management practices. Estimation of soil erosion is essential to know the nature and quantity of soil loss and create specific strategies for soil conservation. This research paper thoroughly examines the susceptibility of soil erosion in the Gayathripuzha river basin in Kerala, India, which is encompassing a wide area of around 961 km². Employing the Revised Universal Soil Loss Equation (RUSLE), this investigation assesses the influential factors affecting soil erosion, which comprise rainfall (R Factor), soil erodibility (K Factor), topography (LS Factor), land usage (C Factor), and the impact of conservation measures (P Factor). The study was conducted using Geographic Information System (GIS) tools like ArcGIS 10.8 Desktop and integrating data on rainfall, soil properties, land topographic features, and land use. Rainfall erosivity is a major factor causing erosion in Gayathripuzha river basin and it ranges from 746.03 to 1222.35 MJ mm ha−1 h−1 y−1 in the river basin. Soil erodibility factor also varies widely within the region. Slope length and steepness factor showed that highland ecosystems are present only in a small area of the river basin. Variation in land use and land cover also influenced the soil erosion within the area. The estimated average annual soil erosion ranges from 0 to 133.18 t ha-1 yr-1 within the research site. The research found that soil erosion varied greatly across the study area. Regions with slopes over 50% had much higher erosion rates, while most of the study area had low erosion levels. Notably, the intensity of soil erosion demonstrated a positive correlation with slope percentage, with areas classified as bare ground demonstrating the highest erosion rates. These findings emphasize the necessity for targeted and comprehensive conservation strategies tailored to the diverse landscape of the region to effectively manage soil erosion and mitigate its adverse impacts.
References (22)
- 1 Predicting rainfall erosion losses : a guide to conservation planning
- 2 Predicting soil erosion by water : a guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE)
- 3 Assessment of soil erosion by RUSLE model using remote sensing and GIS - A case study of Nethravathi Basin [DOI]
- 4 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]
- 5 Adapting the RUSLE to model soil erosion potential in a mountainous tropical watershed [DOI]
- 6 Soil Erosion Assessment in a Hilly Catchment of North Eastern India Using USLE, GIS and Remote Sensing [DOI]
- 7 Assessment of soil erosion in a tropical mountain river basin of the southern Western Ghats, India using RUSLE and GIS [DOI]
- 8 Evaluating Irregular Slopes for Soil Loss Prediction [DOI]
- 9 Spatial prediction of soil erosion risk by remote sensing, GIS and RUSLE approach: a case study of Siruvani river watershed in Attapady valley, Kerala, India [DOI]
- 10 Estimation of Sediment Yield and Areas of Soil Erosion and Deposition for Watershed Prioritization using GIS and Remote Sensing [DOI]
- 11 Integrated Approach of Universal Soil Loss Equation (USLE) and Geographical Information System (GIS) for Soil Loss Risk Assessment in Upper South Koel Basin, Jharkhand [DOI]
- 12 Soil loss estimation and prioritization of sub-watersheds of Kali River basin, Karnataka, India, using RUSLE and GIS [DOI]
- 13 Soil erosion modeling of a Himalayan watershed using RS and GIS [DOI]
- 14 Estimation of soil erosion in a rain shadow river basin in the southern Western Ghats, India using RUSLE and transport limited sediment delivery function [DOI]
- 15 Modeling runoff and soil erosion in a catchment area, using the GIS, in the Himalayan region, India [DOI]
- 16 Regional Scale Erosion Assessment of a Sub-tropical Highland Segment in the Western Ghats of Kerala, South India [DOI]
- 17 People's perception and socioeconomic determinants of soil erosion: A case study of Samanalawewa watershed, Sri Lanka [DOI]
- 18 Identification of critical soil erosion prone areas and prioritization of micro-watersheds using geoinformatics techniques [DOI]
- 19 Identification of soil erosion risk areas for conservation planning in different states of India.
- 20 Assessment of Soil Erosion and Its Impact on Agricultural Productivity by Using the RMMF Model and Local Perception: A Case Study of Rangun Watershed of Mid-Hills, Nepal [DOI]
- 21 Estimation of Soil Erosion for Vishwamitri River Watershed Using Universal Soil Loss Equation and GIS
- 22 Soil Erosion Estimation of Kunthippuzha Watershed Using GIS and RUSLE Model [DOI]
Cited by 7
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Showing 3 of 7 known citations — external sources report more than can currently be individually listed.
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