利用地理空间技术评估土壤侵蚀及其与山体滑坡事件的相关性

Q4 Engineering Disaster Advances Pub Date : 2023-12-05 DOI:10.25303/171da011022
Abhijit S. Patil, S. Panhalkar
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引用次数: 0

摘要

本报告试图利用地理空间技术评估潘奇甘加河流域的土壤侵蚀及其与滑坡事件的关系。RUSLE 模型用于评估土壤侵蚀,FR 模型用于相关性分析。RUSLE 的静态和动态部分是利用多源信息获得的,并在 ArcGIS 软件环境中进行了综合分析。利用遥感数据集和变化检测方法检测滑坡。根据土壤侵蚀模型的结果,81% 的研究区域具有极低的侵蚀风险,约 21% 的区域具有较高和极高的侵蚀风险。该流域的平均土壤流失率为 83 吨/公顷/年。在相关性分析中,比率代表发生滑坡的区域与侵蚀易发区特定区域的比率。根据研究结果,土壤侵蚀与滑坡发生率之间的相关性表明,高侵蚀区和极高侵蚀区发生滑坡的概率较高。ROC 用于评估土壤侵蚀模型与滑坡发生率之间的相关性。根据评估结果,AUC 表明得出的土壤侵蚀模型与滑坡之间的相关性为 0.89。
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Assessment of Soil Erosion and its Correlation with Landslide Incidents using Geospatial Techniques
The present attempt is made to assess soil erosion and its relationship to landslide incidents in the Panchganga river basin using geospatial techniques. The RUSLE model is used for assessing soil erosion and the FR model is employed for correlation analysis. The static and dynamic components of RUSLE are obtained using multi-source information and an integrated analysis is conducted in the ArcGIS software environment. Landslides are detected using remote sensing datasets and the change detection approach. According to the results of the soil erosion model, 81 % of the study area has a very low risk of erosion while about 21 % has a high and very high risk. The average rate of soil loss in the basin is 83 t/ha/yr. In the correlation analysis, the ratio represents the region where landslides took place to a specific area of an erosion-prone zone. As per the findings, the correlation between soil erosion and landslide incidences indicates that areas with high and very high erosion zones have a higher probability of landslides. The ROC is used to assess the correlation between the soil erosion model and landslide occurrence. According to the assessment results, the AUC indicates an 0.89 correlation between the resulting soil erosion model and landslides.
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来源期刊
Disaster Advances
Disaster Advances 地学-地球科学综合
CiteScore
0.70
自引率
0.00%
发文量
57
审稿时长
3.5 months
期刊介绍: Information not localized
期刊最新文献
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