Evaluation of Geological Hazard Susceptibility Based on the Regional Division Information Value Method
The traditional susceptibility evaluation of geological hazards usually comprises a global susceptibility evaluation of the entire study area but ignores the differences between the local areas caused by spatial non-stationarity. In view of this, the geographically weighted regression model (GWR) wa...
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| Format: | Article |
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MDPI AG
2023-01-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/12/1/17 |
| _version_ | 1827625199428698112 |
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| author | Jingru Ma Xiaodong Wang Guangxiang Yuan |
| author_facet | Jingru Ma Xiaodong Wang Guangxiang Yuan |
| author_sort | Jingru Ma |
| collection | DOAJ |
| description | The traditional susceptibility evaluation of geological hazards usually comprises a global susceptibility evaluation of the entire study area but ignores the differences between the local areas caused by spatial non-stationarity. In view of this, the geographically weighted regression model (GWR) was used to divide the study area at regional scale. Seven local areas were obtained with low spatial auto-correlation of each evaluation factor. Additionally, 11 evaluation factors, including the aspect, elevation, curvature, ground roughness, relief amplitude, slope, lithology, distance from the fault, height of the cut slope, multiyear average rainfall and the normalized difference vegetation index (NDVI) were selected to establish the evaluation index system of the geological hazard susceptibility. The Pearson coefficient was used to remove the evaluation factors with high correlation. The global and seven local areas were evaluated for susceptibility using the information value model and the global and regional division susceptibility evaluation results were obtained. The results show that the regional division information value model had better prediction performance (AUC = 0.893) and better accuracy. This model adequately considers the influence of the geological hazard impact factors in the different local areas on geological hazard susceptibility and weakens the influence of some factors that have higher influence in the global model but lower influence in local areas on the evaluation results. Therefore, the use of the regional division information value model for susceptibility evaluation is more consistent with the actual situation in the study area and is more suitable for guiding risk management and hazard prevention and mitigation. |
| first_indexed | 2024-03-09T12:29:11Z |
| format | Article |
| id | doaj.art-e67d00c77e5144e3a4f352020a22d125 |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-09T12:29:11Z |
| publishDate | 2023-01-01 |
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| spelling | doaj.art-e67d00c77e5144e3a4f352020a22d1252023-11-30T22:31:55ZengMDPI AGISPRS International Journal of Geo-Information2220-99642023-01-011211710.3390/ijgi12010017Evaluation of Geological Hazard Susceptibility Based on the Regional Division Information Value MethodJingru Ma0Xiaodong Wang1Guangxiang Yuan2College of Geosciences and Engineering, North China University of Water Resources and Electric Power, No. 136 Jinshui East Road, Zhengzhou 450046, ChinaCollege of Geosciences and Engineering, North China University of Water Resources and Electric Power, No. 136 Jinshui East Road, Zhengzhou 450046, ChinaCollege of Geosciences and Engineering, North China University of Water Resources and Electric Power, No. 136 Jinshui East Road, Zhengzhou 450046, ChinaThe traditional susceptibility evaluation of geological hazards usually comprises a global susceptibility evaluation of the entire study area but ignores the differences between the local areas caused by spatial non-stationarity. In view of this, the geographically weighted regression model (GWR) was used to divide the study area at regional scale. Seven local areas were obtained with low spatial auto-correlation of each evaluation factor. Additionally, 11 evaluation factors, including the aspect, elevation, curvature, ground roughness, relief amplitude, slope, lithology, distance from the fault, height of the cut slope, multiyear average rainfall and the normalized difference vegetation index (NDVI) were selected to establish the evaluation index system of the geological hazard susceptibility. The Pearson coefficient was used to remove the evaluation factors with high correlation. The global and seven local areas were evaluated for susceptibility using the information value model and the global and regional division susceptibility evaluation results were obtained. The results show that the regional division information value model had better prediction performance (AUC = 0.893) and better accuracy. This model adequately considers the influence of the geological hazard impact factors in the different local areas on geological hazard susceptibility and weakens the influence of some factors that have higher influence in the global model but lower influence in local areas on the evaluation results. Therefore, the use of the regional division information value model for susceptibility evaluation is more consistent with the actual situation in the study area and is more suitable for guiding risk management and hazard prevention and mitigation.https://www.mdpi.com/2220-9964/12/1/17geographically weighted regressioninformation value modelgeological hazardsusceptibility evaluation |
| spellingShingle | Jingru Ma Xiaodong Wang Guangxiang Yuan Evaluation of Geological Hazard Susceptibility Based on the Regional Division Information Value Method ISPRS International Journal of Geo-Information geographically weighted regression information value model geological hazard susceptibility evaluation |
| title | Evaluation of Geological Hazard Susceptibility Based on the Regional Division Information Value Method |
| title_full | Evaluation of Geological Hazard Susceptibility Based on the Regional Division Information Value Method |
| title_fullStr | Evaluation of Geological Hazard Susceptibility Based on the Regional Division Information Value Method |
| title_full_unstemmed | Evaluation of Geological Hazard Susceptibility Based on the Regional Division Information Value Method |
| title_short | Evaluation of Geological Hazard Susceptibility Based on the Regional Division Information Value Method |
| title_sort | evaluation of geological hazard susceptibility based on the regional division information value method |
| topic | geographically weighted regression information value model geological hazard susceptibility evaluation |
| url | https://www.mdpi.com/2220-9964/12/1/17 |
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