Background Soil erosion causes topsoil loss, which decreases fertility in agricultural land. Spatial estimation of soil erosion essential for an agriculture-dependent country like Nepal for developing its control plans. This study evaluated impacts on Dolakha using the Revised Universal Soil Loss Equation (RUSLE) model; analyses the effect of land use and land cover (LULC) on soil erosion. Results The soil erosion rate categorized into six classes based on the erosion severity, and 5.01% of the areas found under extreme severe erosion risk (> 80 Mg ha −1 year −1 ) addressed by decision-makers for reducing its rate and consequences. Followed by 10% classified between high and severe range from 10 to 80 Mg ha −1 year −1 . While 15% and 70% of areas remained in a moderate and low-risk zone, respectively. Result suggests the area of the north-eastern part suffers from a high soil erosion risk due to steep slope. Conclusions The result produces a spatial distribution of soil erosion over Dolakha, which applied for conservation and management planning processes, at the policy level, by land-use planners and decision-makers.

中文翻译：

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使用 RUSLE 模型进行土壤侵蚀的空间估计：尼泊尔多拉卡区的案例研究

背景 土壤侵蚀导致表土流失，从而降低农业用地的肥力。土壤侵蚀的空间估计对于像尼泊尔这样依赖农业的国家制定控制计划至关重要。本研究使用修订后的通用土壤流失方程 (RUSLE) 模型评估了对 Dolakha 的影响；分析土地利用和土地覆盖 (LULC) 对土壤侵蚀的影响。结果 土壤侵蚀率根据侵蚀严重程度分为六类，5.01% 的被发现处于极端严重侵蚀风险（> 80 Mg ha -1 年 -1 ）的区域由决策者解决，以降低其速度和后果。其次是 10% 分为高和重度范围从 10 到 80 Mg ha -1 年 -1 。而分别有 15% 和 70% 的地区仍处于中等和低风险区域。结果表明，东北地区由于坡度陡峭，土壤侵蚀风险较高。结论 结果产生了 Dolakha 土壤侵蚀的空间分布，土地利用规划者和决策者将其应用于政策层面的保护和管理规划过程。