评估假设对流域土壤侵蚀的重要性:以卢旺达延泽流域为例

IF 0.3 Q4 REMOTE SENSING
Faustin Gashakamba, Umaru Garba Wali, Vaillant Rutazuyaza Byizigiro
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引用次数: 0

摘要

实施流域侵蚀控制方案需要进行资源密集和耗时的初步研究,以确定这些干预措施的优先次序,并将重点放在最有可能产生最有效结果的子集水区。在本研究中,我们探索并记录了使用假设分析作为优先考虑侵蚀控制措施的方法的有效性,并将其应用于位于卢旺达中部的延泽流域。基于30m分辨率的流域DEM,利用ArcGIS和R软件,我们通过RUSLE建模和使用不同来源的数据,即卢旺达气象局(降雨数据)、ISRIC(土壤数据)和Sentinel-2图像(土地覆盖图),估算了拟测积分值,并计算了土壤流失量。扬子子流域的半对称积分值较高,在0.5 ~ 0.936之间。结合整体上凸向上的坡度曲线,表明扬子流域仍处于侵蚀旋回的年轻阶段。 RUSLE模型结果表明,延泽流域平均潜在土壤流失量为55.63 t .ha . 1。1年,这与全国平均估计的62吨相当。对延泽子流域的拟拟积分值与各自的平均土壤流失量进行了相关分析,结果表明两者之间没有相关性。根据本研究的结果,我们得出结论,在岩性对土壤侵蚀影响显著的流域,形态确实可以表明侵蚀的潜力。然而,我们进一步得出结论,未来使用形态计量学表征侵蚀潜力的研究应该在回归模型中加入额外的形态计量参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing the importance of hypsometry for catchment soil erosion: A case study of the Yanze watershed, Rwanda
Implementing a watershed erosion control programme requires resource-intensive and time-consuming preliminary studies to prioritize such interventions and to focus on those sub-catchments where they are most likely to yield the most effective results. In this study, we explore and document the effectiveness of using hypsometric analysis as a method to prioritize erosion control measures and apply it to the Yanze watershed located in central Rwanda. Based on a 30m-resolution DEM of the watershed and using ArcGIS and R software, we made estimates of hypsometric integral values and calculated soil loss estimates through RUSLE modelling and by using data from different sources, namely the Rwanda Meteorological Agency (rainfall data), ISRIC (soil data), and Sentinel-2 images (land cover maps). The hypsometric integral values of the Yanze sub-catchments were high, ranging from 0.5 to 0.936. This, combined with the overall convex upward hypsometric curves, indicates that the Yanze watershed is still at a youthful stage in its erosional cycle. The results of the RUSLE model showed that the average potential soil loss in the Yanze watershed is 55.63 tonnes.ha-1.year-1, which is comparable to the national average estimated at 62 tonnes.ha-1.year-1. The correlation analysis that we conducted between the hypsometric integral values of the Yanze sub-catchments and their respective mean soil loss values revealed no correlation between the two variables. From the results of this study, we conclude that in watersheds where lithology affects soil erosion significantly, morphology can indeed indicate the potential for erosion. However, we further concluded that future studies to characterize erosion potential using morphometry should employ additional morphometric parameters in the regression model.
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