利用地理信息系统和 RS 评估伊朗 Chehelgazi 山区流域的土壤侵蚀和沉积情况

IF 1.827 Q2 Earth and Planetary Sciences Arabian Journal of Geosciences Pub Date : 2024-09-02 DOI:10.1007/s12517-024-12057-5
Masoud Davari, Elham Ahmadi Aghdam, Naser Khaleghpanah, Aref Bahmani
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引用次数: 0

摘要

水土流失对半干旱地区的水质和土壤健康构成严重威胁。在流域范围内评估土壤侵蚀和沉积对水资源和土壤管理至关重要。在伊朗,经验模型,如侵蚀潜力法 (EPM)、修改后的西南太平洋机构间委员会 (MPSIAC) 和通用土壤流失方程 (USLE) 比其他模型更受关注,原因是输入数据的可用性和缺乏可靠的水文站,尤其是长时间跨度的水文站。在本文中,我们利用 EPM、MPSIAC 和 USLE,结合泥沙输运比 (SDR) 模块,评估了 Chehelgazi 山区流域(伊朗西部)的土壤侵蚀强度和泥沙产量,并与观测结果进行了比较。EPM、MPSIAC 和 USLE 模型所需的输入数据均在 ArcMap 10.8 和 ENVI 5.5 中创建。然后,通过上述模型得出泥沙产量和土壤侵蚀分区图,并通过水文数据进行验证。结果表明,流域的大部分地区都存在中等程度的水土流失风险。此外,EPM、MPSIAC 和 USLE 结合 SDR 所评估的年平均泥沙产量分别为 196.86、99.30 和 84.84 kt/年-1,这表明 USLE-SDR 和 MPSIAC 更具优势。与观测到的 86.46 kt 年-1 相比,USLE-SDR 的效率惊人。总之,我们得出结论,USLE 模型与 Boyce(1975 年)SDR 公式相结合,是估算切尔加齐山区流域泥沙产量的最佳方法,而 MPSIAC 更适合绘制土壤侵蚀状况图。
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Assessing soil erosion and sedimentation in the Chehelgazi mountainous watershed, Iran, using GIS and RS

Soil erosion poses a severe threat to water quality and soil health in semi-arid regions. Assessing soil erosion and sedimentation at the watershed-scale is crucial for managing water resources and soil. In Iran, empirical models, e.g., the erosion potential method (EPM), modified Pacific Southwest Inter-Agency Committee (MPSIAC), and universal soil loss equation (USLE), have drawn more attention than other models, due to the availability of input data and lack of reliable hydrometric station, especially for a long time span. In the present article, we evaluated the soil erosion intensity and sediment yield in the Chehelgazi mountainous watershed (western Iran) utilizing the EPM, MPSIAC, and USLE, combined with the sediment delivery ratio (SDR) module, and then compared them with the observations. The required input data for EPM, MPSIAC, and USLE models all were created in ArcMap 10.8 and ENVI 5.5. The sediment yield amount and soil erosion zonation map were then obtained by the models mentioned and validated by the hydrometric data. According to the results, most portions of the watershed were subject to moderate erosion risk. Moreover, the annual average sediment yield of 196.86, 99.30, and 84.84 kt year−1 assessed by EPM, MPSIAC, and USLE combined with SDR, respectively, suggested the superiority of USLE-SDR and MPSIAC. As compared with the observed amounts of 86.46 kt year −1, the efficiency of USLE-SDR was astonishing. Overall, we conclude that the USLE model coupled with the Boyce (1975) SDR formula is the best for estimating sediment yield at Chehelgazi mountainous watersheds, while MPSIAC is better suited for mapping soil erosion state.

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来源期刊
Arabian Journal of Geosciences
Arabian Journal of Geosciences GEOSCIENCES, MULTIDISCIPLINARY-
自引率
0.00%
发文量
1587
审稿时长
6.7 months
期刊介绍: The Arabian Journal of Geosciences is the official journal of the Saudi Society for Geosciences and publishes peer-reviewed original and review articles on the entire range of Earth Science themes, focused on, but not limited to, those that have regional significance to the Middle East and the Euro-Mediterranean Zone. Key topics therefore include; geology, hydrogeology, earth system science, petroleum sciences, geophysics, seismology and crustal structures, tectonics, sedimentology, palaeontology, metamorphic and igneous petrology, natural hazards, environmental sciences and sustainable development, geoarchaeology, geomorphology, paleo-environment studies, oceanography, atmospheric sciences, GIS and remote sensing, geodesy, mineralogy, volcanology, geochemistry and metallogenesis.
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