Soil is one of the most important natural resources; therefore, there is an urgent need to estimate soil erosion. The subtropical monsoon-dominated region also faces a comparatively greater problem due to heavy rainfall with high intensity in a very short time and the presence of longer dry seasons and shorter wet seasons. The Arkosa watershed faces the problem of extreme land degradation in the form of soil erosion; therefore, the rate of soil erosion needs to be estimated according to appropriate models. GCM (general circulation model) data such as MIROC5 (Model for Interdisciplinary Climate Research) of CMIP5 (Coupled Model Intercomparison Project Phase 5) have been used to project future storm rainfall and soil erosion rates following the revised universal soil loss equation (RUSLE) in various influential time frames. Apart from that, different satellite data and relevant primary field-based data for future prediction were considered. The average annual soil erosion of Arkosa watershed ranges from < 1 to > 6 t/ha/year. The very high (> 6 t/ha/year) and high (5–6 t/ha/year) soil loss areas are found in the southern, south-eastern, and eastern part of the watershed. Apart from this, low (1–2 t/ha/year) and very low (< 1 t/ha/year) soil loss areas are associated with the western, northern, southern, and major portion of the watershed. Extreme precipitation rates with high kinetic energy due to climate change are favorable to soil erosion susceptibility. The results of this research will help to implement management strategies to minimize soil erosion by keeping authorities and researchers at risk for future erosion and vulnerability.

土壤是最重要的自然资源之一。因此，迫切需要估算土壤侵蚀。由于在非常短的时间内高强度的强降雨以及较长的旱季和较短的湿季的存在，亚热带季风为主的地区也面临相对较大的问题。阿科萨流域面临着以土壤侵蚀形式严重土地退化的问题。因此，需要根据适当的模型估算土壤侵蚀的速率。GCM（通用循环模型）数据（如CMIP5的MIROC5（跨学科气候研究模型）（耦合模型相互比较项目阶段5））已被用来预测未来的暴雨雨量和土壤侵蚀率。各种有影响的时间范围。除此之外，考虑了不同的卫星数据和相关的基于主场的数据，以用于未来的预测。阿科萨流域的年平均土壤侵蚀范围为<1至> 6吨/公顷/年。在流域的南部，东南部和东部发现了非常高（> 6吨/公顷/年）和高（5-6吨/公顷/年）的土壤流失地区。除此之外，水土流失的西部，北部，南部和大部分地区与土壤流失面积低（1-2 t / ha /年）和非常低（<1 t / ha /年）有关。由于气候变化而产生的具有高动能的极高降水速率有利于土壤侵蚀的敏感性。这项研究的结果将通过使主管部门和研究人员处于未来遭受侵蚀和脆弱性的风险中，从而有助于实施管理策略以最大程度地减少土壤侵蚀。