Assessing watershed vulnerability to erosion and sedimentation: Integrating DEM and LULC data in Guyana's diverse landscapes

Josephine Kawa Maximus
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Abstract

This study assesses watershed vulnerability to erosion and sedimentation in Guyana using Digital Elevation Model (DEM) and Land Use/Land Cover (LULC) classification. It aims to assess erosion risk by examining rainfall erosivity, soil types, and spatial variability. The integration of DEM-derived slope data with LULC and rainfall erosivity shows a strong correlation between high rainfall (20,809.02–31,262.35 mm) and erosivity (21,433.29–32,200.22 MJ mm ha−1 h−1 yr−1), indicating increased erosion potential, particularly in southwestern regions. Soil analysis reveals Plinthic Acrisols, with high clay content, are more prone to erosion, whereas Orthic Ferralsols are less vulnerable. Slope analysis suggests flat terrain (89.16 %) has low erosion risk, but steeper slopes require interventions. Conservation strategies like reforestation, sustainable agriculture, contour plowing, and terracing are recommended to reduce erosion impacts. This integrated assessment provides insights for prioritizing soil conservation and adaptive management to address erosion risks in Guyana.
评估流域易受侵蚀和沉积影响的程度:整合圭亚那各种地貌的 DEM 和 LULC 数据
本研究利用数字高程模型(DEM)和土地利用/土地覆盖(LULC)分类,评估圭亚那流域易受侵蚀和沉积影响的程度。研究旨在通过考察降雨侵蚀率、土壤类型和空间变化来评估侵蚀风险。DEM 导出的坡度数据与 LULC 和降雨侵蚀率的整合显示,高降雨量(20,809.02-31,262.35 毫米)与侵蚀率(21,433.29-32,200.22 MJ mm ha-1 h-1 yr-1)之间存在很强的相关性,表明侵蚀的可能性增加,尤其是在西南部地区。土壤分析表明,粘土含量较高的基质赤土(Plinthic Acrisols)更容易受到侵蚀,而正土赤土(Orthic Ferralsols)则不太容易受到侵蚀。坡度分析表明,平坦地形(89.16%)的侵蚀风险较低,但陡坡则需要干预。建议采用植树造林、可持续农业、等高耕作和修筑梯田等保护策略来减少侵蚀的影响。这项综合评估为圭亚那确定土壤保护和适应性管理的优先次序以应对侵蚀风险提供了启示。
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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CiteScore
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