Estimation of annual rate and spatial distribution of soil erosion in the Jamuna basin using RUSLE model: A geospatial approach

Saha, Monojit; Sauda, Samrin Sumaiya; Real, H. Rainak Khan; Mahmud, Mallik

doi:10.1016/j.envc.2022.100524

Cited by 23 publications

(8 citation statements)

References 40 publications

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“…The RUSLE is an empirical model widely employed in estimating soil erosion in India (Saha et al, 2022;Thomas et al, 2018a;Rajbanshi & Bhattacharyya, 2020;Thomas et al, 2018b). The USLE determines soil loss at any particular location, which considers the energy and intensity of rainfall, soil erodibility, slope length, slope gradient, soil cover, and conservation measures (Wischmeier & Smith, 1978).…”

Section: Revised Universal Soil Loss Equation (Rusle)mentioning

confidence: 99%

Prioritization of Sub-Watershed Based on Soil Loss Estimation Using RUSLE Model

Deka,

Das,

Hazarika

et al. 2024

International Journal of Applied Geospatial Research

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Soil erosion is one of the most crucial land degradation problems and is considered the most critical environmental hazard worldwide. The present study uses remote sensing data integrated with the geographical information system (GIS) technique and the revised universal soil loss equation (RUSLE) model for assessing the annual average soil loss of the Digaru watershed of India for 1999 and 2020. The estimated mean gross yearly soil loss from the entire watershed was 102716 t yr-1 in 1999 and 178931.6 t yr-1 in 2020. The overall average soil loss rate increased significantly between 1999 and 2020, rising from 4.73 t—ha-1yr-1 to 8.43 t—ha-1yr-1. The sub-watersheds are prioritized as high (≥ 40 t ha−1yr−1), moderate (20–40 t ha−1yr−1), and low (<20 t ha−1yr−1) based on the spatial distribution of soil erosion. Seven sub-watersheds have been grouped under low priority, followed by seven under moderate priority and one under high priority. This study demands instant attention for soil and water conservation efforts in highly eroded watershed areas.

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Section: Revised Universal Soil Loss Equation (Rusle)mentioning

confidence: 99%

Prioritization of Sub-Watershed Based on Soil Loss Estimation Using RUSLE Model

Deka,

Das,

Hazarika

et al. 2024

International Journal of Applied Geospatial Research

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“…The current study made use of annual rainfall for the calculation of erosivity factor. Similar equation to estimate the R-factor was used by [16]. The estimated Rfactor ranges from 938.97 MJ•mm•ha -1 •h -1 •yr -1 to 1102.65 MJ•mm•ha -1 •h -1 •yr -1 .…”

Section: Rainfall Erosivity Factormentioning

confidence: 99%

Modelling Soil Erosion Using RUSLE and GIS for Kadalundi River Basin in Kerala, India

Akhina P.,

Rema K. P.,

Varughese

et al. 2024

IJECC

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The main objective of the study was to estimate the potential average annual soil loss from Kadalundi river basin using RUSLE model and to prepare the spatial distribution map of soil erosion hazard using GIS to suggest suitable soil conservation and management measures for the basin. The individual factor maps for each factor in the RUSLE equation were prepared and multiplied in raster calculator to obtain the spatial distribution map of soil erosion with the help of ArcGIS. The daily rainfall data, basic soil data, Digital Elevation Model (DEM) and satellite imageries were used as the input data for the calculation of rainfall erosivity factor, soil erodibility factor, topographic factor, cover management factor and conservation practice factor. The results indicated an average annual erosion of 5.48 t·ha-1·yr-1 in the basin during the period of 2001 to 2021. The total quantity of soil washed away from the basin was 694836.60 t·yr-1. The estimated values of R-factor ranged from 938.97 MJ·mm·ha-1·h-1·yr-1 to 1102.65 MJ·mm·ha-1·h-1·yr-1, and the computed erodibility factor values varied between 0.0075 to 0.025 t·h·MJ⁻1·mm⁻1. The topographic factor value of the basin was found between 0 to 9.07. The basin had C-factor values of 0.08 to 1.10 and the P-factor values varied from 0.1 to 1. The spatial distribution map of erosion suggest that major part of the basin is under slight erosion class and only a minor part is under very severe erosion class. Areas in the very severe erosion class is characterised by moderate to steep slopes, or in other words areas with less slope is having slight erosion. As most of the area of the basin is having slight erosion, simple agronomical measures can be adopted for the mitigation purposes.

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“…Several researchers analyzed the climate of Sirajganj district with a prominence on the risk of flooding and the morphological management of rivers in the vicinity [ [17] , [18] , [19] , [20] , [21] ]. But, in the long run, rainfall variability is the real cause of flooding, river bank erosion, drought, and other problems and it is quite challenging to analyze this rainfall phenomenon because Sirajganj's rainfall is extremely variable as a result of climate change.…”

Section: Introductionmentioning

confidence: 99%