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The application of an expert knowledge‐driven approach for assessing gully erosion susceptibility in the subtropical Nigerian savannah
Singapore Journal of Tropical Geography ( IF 2.000 ) Pub Date : 2020-11-30 , DOI: 10.1111/sjtg.12348
Didams Gideon 1, 2 , Firuza Begham Mustafa 1 , Idakwo Victor 3
Affiliation  

This study assessed gully erosion susceptibility in Southern Gombe State, Nigeria. The objectives of the study were to: (1) prepare gully inventory of Southern Gombe State, (2) apply the Analytical Hierarchy Process to assess the contribution of gully erosion predisposing factors, and (3) produce a gully erosion susceptibility map of Southern Gombe State. Based on geomorphological study involving interpretation of Google Earth images and field surveys, 127 gullies were identified and 13 gully erosion predisposing factors assumed to influence gully erosion susceptibility were selected. Identified gullies were randomly split into training (89 or 70 per cent) and validation (38 or 30 per cent) datasets. The contribution of each gully erosion predisposing factor was obtained using the Analytical Hierarchy Process. The results indicated that slope (0.130), stream density (0.121), and distance from stream (0.121) play crucial roles in gully erosion susceptibility. By overlaying the gully erosion susceptibility factor maps, a gully erosion susceptibility map was created. A natural break method was then used to classify gully erosion areas into relatively safe (6.04 km2), less susceptible (3332.46 km2), moderately susceptible (1811.49 km2), highly susceptible (1146.35 km2), and extremely susceptible (1726.77 km2) categories. Field verification confirmed that the map accurately classified 92.11 per cent of the validation datasets, signifying the Analytical Hierarchy Process as a reliable method for gully erosion susceptibility assessment. The created gully erosion susceptibility map can assist land planners to identify critical gully erosion areas where prevention and mitigation actions should be implemented.

中文翻译:

专家知识驱动的方法在评估亚热带尼日利亚大草原的食沟侵蚀敏感性中的应用

这项研究评估了尼日利亚南部贡贝州的河谷侵蚀敏感性。该研究的目的是:(1)准备南部贡贝州的沟壑清单;(2)应用层次分析法来评估沟壑侵蚀易感因素的贡献;(3)绘制南部贡贝河谷的沟壑易感性图州。基于涉及Google Earth图像解释和野外调查的地貌研究,确定了127个沟壑,并选择了13个影响沟壑易感性的沟壑易感性因素。识别出的沟渠被随机分为训练(89%或70%)和验证(38%或30%)数据集。使用层次分析法获得了每个沟壑侵蚀诱因的贡献。结果表明斜率(0。130),水流密度(0.121)和与水流的距离(0.121)在沟壑侵蚀敏感性中起着关键作用。通过覆盖沟壑侵蚀敏感性图,创建了沟壑侵蚀敏感性图。然后使用自然破坏方法将沟壑侵蚀区域划分为相对安全的区域(6.04 km2),易感(3332.46 km 2),中感(1811.49 km 2),高感(1146.35 km 2)和极易感(1726.77 km 2)类别。现场核查证实,该地图准确地对了92.11%的验证数据集进行了分类,这表明层次分析法是沟蚀敏感性评估的可靠方法。创建的沟壑易感性图可以帮助土地规划人员确定应采取预防和缓解措施的重要沟壑侵蚀区。
更新日期:2021-01-13
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