Estimation of Soil Loss using RUSLE, GIS, and Remote Sensing: A Case Study of Sangli District, Maharashtra

IF 2.4 4区农林科学 Q2 AGRICULTURAL ENGINEERING

Journal of Agricultural Engineering Pub Date : 2023-10-09 DOI:10.52151/jae2023603.1815

None Pranjali D. Patil, None Nitin G. Patil, None Atul A. Atre

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引用次数: 0

Abstract

Accurate estimation of soil loss is essential for watershed managers and planners to identify the priority areas for soil and water conservation measures. This study was undertaken to estimate the average annual soil loss in the study area of Sangli district, Maharashtra by using the Revised Universal Soil Loss Equation (RUSLE) in conjunction with Geographic Information System (GIS) and Remote Sensing (RS) data. The five potential factors of RUSLE impacting soil erosion were estimated through remote sensing data, enabling a comprehensive and informed assessment of soil erosion. The results of the analysis revealed that the average annual soil loss from the study area varied between 0 t.ha-1.yr-1 and 202.10 t.ha-1.yr-1. Higher annual soil loss was estimated in the western part of the study area, which ranged from 15 t.ha-1.yr-1 to 25 t.ha-1.yr-1 as compared to other parts of the study area. The Sangali district, in general, can be categorised as a low erosion potential district (0-5 t.ha-1.yr-1). The generated information can be utilised for the implementation of soil and water management and conservation measures in the western part of Sangli district, where there is a large area under the forest and agricultural land.

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基于RUSLE、GIS和遥感的土壤流失量估算——以马哈拉施特拉邦桑丽区为例

准确估计土壤流失对流域管理者和规划者确定水土保持措施的优先领域至关重要。利用修订的通用土壤流失方程(RUSLE)，结合地理信息系统(GIS)和遥感(RS)数据，对马哈拉施特拉邦桑丽区研究区的年平均土壤流失量进行了估算。通过遥感数据估算RUSLE影响土壤侵蚀的5个潜在因子，实现对土壤侵蚀的全面、知情评估。分析结果表明，研究区年平均土壤流失量在0 t.ha-1之间。年-1和202.10。研究区西部的年土壤流失量较大，在15 t.ha-1之间。y -1到25 t.ha-1。与研究区域的其他部分相比。总的来说，桑加利地区可以被归类为低侵蚀潜力地区(0-5 t.ha-1. year -1)。生成的信息可用于桑丽区西部的水土管理和水土保持措施的实施，那里有大片的森林和农业用地。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Agricultural Engineering AGRICULTURAL ENGINEERING-

CiteScore

2.30

自引率

5.60%

发文量

审稿时长

10 weeks

期刊介绍： The Journal of Agricultural Engineering (JAE) is the official journal of the Italian Society of Agricultural Engineering supported by University of Bologna, Italy. The subject matter covers a complete and interdisciplinary range of research in engineering for agriculture and biosystems.