Journal Article

Spatial analysis and assessment of soil erosion in the southern Western Ghats region in India

R., Shanmathi Rekha, B., Anand, K., Ramaswamy, M., Midhuna Devi, K.R., Remitha

2024

Overview

Soil erosion is expected to worsen in the future as a result of climate change, growing population demands, improper land use, and excessive exploitation of natural resources in India. Due to the growing population and changes in land use, it has become increasingly crucial to map and quantitatively assess soil for the purpose of sustainable agricultural usage and planning conservation efforts. The problem of soil erosion is mainly on steeper slopes with intense rainfall in parts of Western Ghats. The 20.17% of geographical area have been converted into wasteland due to soil erosion. The Revised Universal Soil Loss Equation (RUSLE) is a highly prevalent and effective technique utilized for estimating soil loss in order to facilitate the planning of erosion control measures. Despite the fact that RUSLE is accurately estimate sediment yields from gully erosion, it is an effective tool in estimating sheet and rill erosions losses from diverse land uses like agricultural to construction sites. The current study is mainly about combining the RUSLE model with GIS (Geographic Information System) to find out how much soil is being lost, particularly in Noyyal and Sanganur watersheds which is located in Coimbatore district of Tamil Nadu, India. This analysis is based on the soil order, with a significant proportion of alfisols and inceptisols being considered. The obtained outcome is contrasted with the established soil loss tolerance threshold, leading to the identification of the areas with the highest susceptibility to erosion. Within the narrower and more inclined section of the watershed, yearly soil loss scales from 0 to 5455 tonnes/ha/year, with an average annual loss of soil of 2.44 tonnes/ha. The severe soil erosion of 100 to 5455 tonnes/ha/year is found along the steep and greater slope length. The generated soil map was classified into six categories: very slight, slight, moderate, high, severe, and very severe. These classifications, respectively, occupied 6.23%, 14.88%, 10.56%, 15.70%, 7.73%, and 6.63% of the basin area. Based on the results of cross-validation, the estimated result of the present study was found to be very high compared to past studies conducted 0 to 368.12 tonnes/ha/year especially in very severe erosion zones. But very slight to severe erosion zones nearly matched with same level of soil loss. To protect the soil in the study area from erosion, more specific actions should be taken. These include micro-catchment, broad bed furrows, up-and-down farming, soil amendment with coconut coir pith composition, streambank stabilization with vegetation, and micro-water harvesting with abandoned well recharge. These actions should be carried out over time to make sure to work.

• Publisher: Springer International Publishing,Springer Nature B.V
• Subject: Abandoned wells / Agricultural wastes / Agriculture / Atmospheric Protection/Air Quality Control/Air Pollution / Bank stabilization / basins / Climate and population / Climate change / coconuts / coir / Conservation of Natural Resources / Construction sites / Earth and Environmental Science / Ecology / Ecotoxicology / Environment / Environmental Management / Environmental Monitoring / Erosion control / Geographic Information Systems / Geographical information systems / Gullies / Gully erosion / India / Information systems / Land conservation / Land use / Land use management / Monitoring/Environmental Analysis / Natural resources / pith / rain / Rainfall / Remote sensing / Resource exploitation / Revised Universal Soil Loss Equation / Riverbanks / Sediment yield / sediments / Soil - chemistry / Soil amendment / soil amendments / Soil analysis / Soil classification / Soil conservation / Soil Erosion / Soil loss / soil map / Soil maps / Spatial Analysis / Stream banks / streambank stability / Sustainable agriculture / Vegetation / wastelands / Water harvesting / Watersheds