State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China; Department of Natural Resources, Faculty of African Postgraduate Studies, Cairo University, Giza 12613, Egypt.
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.
Sci Total Environ. 2021 Nov 1;793:148466. doi: 10.1016/j.scitotenv.2021.148466. Epub 2021 Jun 12.
Assessment of soil loss and understanding its major drivers are essential to implement targeted management interventions. We have proposed and developed a Revised Universal Soil Loss Equation framework fully implemented in the Google Earth Engine cloud platform (RUSLE-GEE) for high spatial resolution (90 m) soil erosion assessment. Using RUSLE-GEE, we analyzed the soil loss rate for different erosion levels, land cover types, and slopes in the Blue Nile Basin. The results showed that the mean soil loss rate is 39.73, 57.98, and 6.40 t ha yr for the entire Blue Nile, Upper Blue Nile, and Lower Blue Nile Basins, respectively. Our results also indicated that soil protection measures should be implemented in approximately 27% of the Blue Nile Basin, as these areas face a moderate to high risk of erosion (>10 t ha yr). In addition, downscaling the Tropical Rainfall Measuring Mission (TRMM) precipitation data from 25 km to 1 km spatial resolution significantly impacts rainfall erosivity and soil loss rate. In terms of soil erosion assessment, the study showed the rapid characterization of soil loss rates that could be used to prioritize erosion mitigation plans to support sustainable land resources and tackle land degradation in the Blue Nile Basin.
评估土壤流失并了解其主要驱动因素对于实施有针对性的管理干预至关重要。我们提出并开发了一个完全在谷歌地球引擎云平台上实现的修订通用土壤流失方程框架（RUSLE-GEE），用于高空间分辨率（90 米）的土壤侵蚀评估。使用 RUSLE-GEE，我们分析了青尼罗河流域不同侵蚀水平、土地覆盖类型和坡度的土壤流失率。结果表明，整个青尼罗河、上青尼罗河和下青尼罗河流域的平均土壤流失率分别为 39.73、57.98 和 6.40 吨/公顷/年。我们的结果还表明，约 27%的青尼罗河流域需要实施土壤保护措施，因为这些地区面临中度到高度的侵蚀风险（>10 吨/公顷/年）。此外，将热带降雨测量任务（TRMM）降水数据从 25 公里空间分辨率下推到 1 公里空间分辨率会显著影响降雨侵蚀力和土壤流失率。在土壤侵蚀评估方面，该研究表明可以快速描述土壤流失率，这有助于优先制定侵蚀缓解计划，以支持青尼罗河流域的可持续土地资源和应对土地退化。
