WebGIS-based decision support system for soil erosion risk assessment for Guder River catchment, Ethiopia

Geosystems and Geoenvironment Pub Date : 2025-05-01 Epub Date: 2025-03-30 DOI:10.1016/j.geogeo.2025.100387
Kedir Kemal Hajisheko , Karuturi Venkata Suryabhagavan , Karuturi Soumya
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Abstract

Soil erosion is a crucial environmental issue affecting agricultural productivity, water quality, and ecosystem sustainability. Deforestation and human activities have led to excessive soil erosion. A webGIS-based decision support system (DSS) was developed to provide complete information on soil erosion in the Guder watershed forming a part of the Abay River Basin in Ethiopia. The parameters employed were estimated using remote sensing data. Sub-watersheds were prioritised based on soil erosion risk through a revised universal soil loss equation (RUSLE) integrated with geographic information system (GIS). The study employed high-resolution spatial data, including rainfall, soil properties, and topography, to model erosion rates across the watershed. Results indicate that the annual soil loss in the watershed varied significantly from 0 to 8021 t ha−1 yr−1, with an average loss of 97.5 t ha−1 yr−1. About 33.3% of the watershed experienced very high soil loss (>50 t ha−1 yr−1), accounting for 91.3% of the total eroded. In contrast, 25.5% of the area exhibited medium soil erosion rates (<5 t ha⁻¹ yr⁻¹). The WebGIS tool developed is powerful and user-friendly portal that enables non-technical users to access real-time soil erosion data and better understand soil conservation programs, helping them identify measures to reduce soil erosion in the watershed. Moreover, this information also supports land managers, policymakers, and farmers in adopting targeted soil erosion control measures, promoting sustainable land management in the region.

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基于webgis的古德尔河流域土壤侵蚀风险评估决策支持系统
土壤侵蚀是影响农业生产力、水质和生态系统可持续性的重要环境问题。森林砍伐和人类活动导致了过度的土壤侵蚀。开发了一个基于网络地理信息系统的决策支持系统(DSS),以提供关于构成埃塞俄比亚阿贝河流域一部分的古德流域土壤侵蚀的完整信息。所采用的参数是利用遥感数据估计的。通过与地理信息系统(GIS)相结合的修正通用土壤流失方程(RUSLE),基于土壤侵蚀风险对子流域进行优先排序。这项研究采用了高分辨率的空间数据,包括降雨、土壤性质和地形,来模拟整个流域的侵蚀率。结果表明,流域年土壤流失量在0 ~ 8021 tha−1 yr−1之间变化显著,平均流失量为97.5 tha−1 yr−1。约33.3%的流域土壤流失非常严重(50 t / h - 1年- 1年),占侵蚀总量的91.3%。相比之下,25.5%的地区表现出中等的土壤侵蚀率(<5(1 - 1))。开发的WebGIS工具是一个功能强大且用户友好的门户,使非技术用户能够访问实时土壤侵蚀数据,更好地了解土壤保持计划,帮助他们确定减少流域土壤侵蚀的措施。此外,这些信息还有助于土地管理者、政策制定者和农民采取有针对性的水土流失控制措施,促进该地区的可持续土地管理。
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