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Spatially-distributed assessment of sediment yield and shallow landslide potential area in the upper Citarum River basin, Indonesia

机译:印度尼西亚上雪岭河流域沉积物产量和浅层滑坡潜力区的空间分布评估

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Frequently, only a few locations within a basin are critical and responsible for high amounts of soil loss due to surface soil erosion and shallow landslide events. In connection with sediment yield reduction programmes, effective control of soil losses requires implementation of best management practices (BMPs). For the effective and efficient implementation of BMPs, identification of such critical locations is essential. In this study a physically-based hydrological-geotechnical model was applied to an upland tropical basin, with the aim of providing an assessment tool for identification of critical sub-basins. The model consists of two primary components. These comprise a hillslope sediment-runoff component, which considers soil detachments by rain and surface runoff; and a stochastic slope instability algorithm. Daily streamflow and suspended sediment discharge data, as well as the spatial patterns of documented historical landslides, were used for model evaluation and application. Critical sub-basins were identified on the basis of spatially-distributed sediment yields and areas predicted as susceptible to shallow landsliding. The study demonstrated the high potential applicability of the proposed modelling approach for identifying areas vulnerable to erosion and thus important sediment sources.
机译:通常,盆内只有几个位置是关键的,并且由于表面土壤侵蚀和浅层滑坡事件而导致的高量土壤损失负责。与沉积物产量减少方案有关,有效控制土壤损失需要实施最佳的管理实践(BMPS)。对于BMP的有效和有效实施,对这些关键位置的识别至关重要。在本研究中,将物理基础的水文 - 岩土技术模型应用于高地热带盆地,目的是提供一种评估工具,用于识别临界子盆地。该模型由两个主要组件组成。这些包括山坡沉积物 - 径流组件,其通过雨水和表面径流来考虑土壤脱离;和随机坡度不稳定算法。日常流流和悬浮沉积物放电数据以及记录的历史滑坡的空间模式用于模型评估和应用。基于空间分布的沉积物产量和预测易受浅层滑坡影响的区域鉴定了临界子盆地。该研究表明,拟议的建模方法识别易受侵蚀的区域以及重要的沉积物来源的高潜力适用性。

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