Abstract

Rapid propagation of soil erosion is a severe worldwide problem because of its economic and environmental impacts. Thus various efforts have been made to evaluate soil erosion and sediment yield spatially and temporarily to develop effective soil erosion best management practices. To effectively estimate soil erosion and to establish soil erosion management plans, many computer models have been developed and used. In the past couple of decades, these soil erosion models have been integrated with Geographic Information System (GIS) for spatiotemporal analysis of generation and transport of soil erosion and sediment. The Revised Universal Soil Loss Equation (RUSLE) has been used in many countries, and input parameter data for RUSLE have been well established over the years. Thus, the GIS-based Sediment Assessment Tool for Effective Erosion Control (SATEEC) was developed to estimate soil loss and sediment yield for any location within a watershed using RUSLE and a spatially distributed sediment delivery ratio. In this paper SATEEC GIS System Ver.1.6 and version 1.8 were used for estimation of soil erosion and sediment yield. Moore & Burch ‘LS’ factor method and slope based SDR were used for estimation of soil erosion and sediment yield. The simulation results are reveals that SATEEC ver.1.6 exhibits 3 times more in quantity of soil erosion and sediment yield to SATEEC ver. 1.8.

Highlights

  • Soil erosion is a natural process by which materials are entrained and transported across the surface

  • It aims to determine spatial distribution of soil loss and sediment yield to analyze the utilization of different versions of ATEEC Geographical Information System (GIS) system

  • The soil erosion obtained from Sediment Assessment Tool for Effective Erosion Control (SATEEC) Ver. 1.6 a maximized value of 11,76,936 and a lower value of 4,76,328 soil erosion obtained from SATEEC ver. 1.8

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Summary

Introduction

Soil erosion is a natural process by which materials are entrained and transported across the surface. Many soil erosion models like Universal Soil Loss Equation (USLE) [17], Soil and Water Assessment Tool (SWAT) [2], Water Erosion Prediction Project (WEPP) [3], and European Soil Erosion Model (EUROSEM) [9] have been developed to estimate soil erosion. Geographical Information System (GIS) enable users to analyze and manipulate the spatial data and it helps users to identify the spatial locations vulnerable to soil erosion [7]. USLE Model has been widely used because the model is relatively easy to implement and its input data are available in most

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