Quantitative Hazard Prediction of Rainfall-Induced Shallow Landslides Considering Triggering and Predisposing Factors: A Case of Natural Terrain Landslides in Hong Kong
In recent years, torrential rainfall has triggered numerous shallow landslides in southeastern China, especially in Hong Kong. Therefore, giving a spatial-temporal hazard prediction for rainfall-induced shallow landslides in Hong Kong on a fine-grained scale is imperative. Nowadays, most empirical h...
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IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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| Online Access: | https://ieeexplore.ieee.org/document/11003889/ |
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| author | Yangyang Chen Daqing Ge Dongping Ming Lu Xu Qiong Wu Yanni Ma Yuanbiao Dong Junchuan Yu |
| author_facet | Yangyang Chen Daqing Ge Dongping Ming Lu Xu Qiong Wu Yanni Ma Yuanbiao Dong Junchuan Yu |
| author_sort | Yangyang Chen |
| collection | DOAJ |
| description | In recent years, torrential rainfall has triggered numerous shallow landslides in southeastern China, especially in Hong Kong. Therefore, giving a spatial-temporal hazard prediction for rainfall-induced shallow landslides in Hong Kong on a fine-grained scale is imperative. Nowadays, most empirical hazard prediction methods are qualitative and consider only rainfall features. The generated prediction results lack sufficient spatial details, and the areas of high and very high hazard account for a large proportion. By improving the qualitative empirical hazard prediction method based on frequency statistics, this article proposes a quantitative natural terrain landslide hazard prediction model for Hong Kong based on antecedent rainfall intensity, maximum 24-h rolling rainfall intensity, and landslide susceptibility, which simultaneously considers landslide triggering and predisposing factors. The spatial accuracy and fineness of the prediction results generated by the proposed method are enhanced compared to those predicted by the qualitative method based on rainfall features, demonstrating its efficacy and benefits. |
| format | Article |
| id | doaj-art-c00efbe8a0ee48fd92e4b7bf171003ff |
| institution | OA Journals |
| issn | 1939-1404 2151-1535 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj-art-c00efbe8a0ee48fd92e4b7bf171003ff2025-08-20T02:32:05ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing1939-14042151-15352025-01-0118134721348810.1109/JSTARS.2025.357002011003889Quantitative Hazard Prediction of Rainfall-Induced Shallow Landslides Considering Triggering and Predisposing Factors: A Case of Natural Terrain Landslides in Hong KongYangyang Chen0https://orcid.org/0000-0001-9349-4246Daqing Ge1https://orcid.org/0009-0006-3381-6403Dongping Ming2https://orcid.org/0000-0002-3422-7399Lu Xu3https://orcid.org/0000-0003-3944-2175Qiong Wu4Yanni Ma5Yuanbiao Dong6Junchuan Yu7https://orcid.org/0000-0003-2987-0504China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing, ChinaChina Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing, ChinaSchool of Information Engineering, China University of Geosciences (Beijing), Beijing, ChinaSchool of Information Engineering, China University of Geosciences (Beijing), Beijing, ChinaChina Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing, ChinaChina Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing, ChinaChina Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing, ChinaChina Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing, ChinaIn recent years, torrential rainfall has triggered numerous shallow landslides in southeastern China, especially in Hong Kong. Therefore, giving a spatial-temporal hazard prediction for rainfall-induced shallow landslides in Hong Kong on a fine-grained scale is imperative. Nowadays, most empirical hazard prediction methods are qualitative and consider only rainfall features. The generated prediction results lack sufficient spatial details, and the areas of high and very high hazard account for a large proportion. By improving the qualitative empirical hazard prediction method based on frequency statistics, this article proposes a quantitative natural terrain landslide hazard prediction model for Hong Kong based on antecedent rainfall intensity, maximum 24-h rolling rainfall intensity, and landslide susceptibility, which simultaneously considers landslide triggering and predisposing factors. The spatial accuracy and fineness of the prediction results generated by the proposed method are enhanced compared to those predicted by the qualitative method based on rainfall features, demonstrating its efficacy and benefits.https://ieeexplore.ieee.org/document/11003889/Frequency statisticHong Kongquantitative hazard predictionshallow landslides |
| spellingShingle | Yangyang Chen Daqing Ge Dongping Ming Lu Xu Qiong Wu Yanni Ma Yuanbiao Dong Junchuan Yu Quantitative Hazard Prediction of Rainfall-Induced Shallow Landslides Considering Triggering and Predisposing Factors: A Case of Natural Terrain Landslides in Hong Kong IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Frequency statistic Hong Kong quantitative hazard prediction shallow landslides |
| title | Quantitative Hazard Prediction of Rainfall-Induced Shallow Landslides Considering Triggering and Predisposing Factors: A Case of Natural Terrain Landslides in Hong Kong |
| title_full | Quantitative Hazard Prediction of Rainfall-Induced Shallow Landslides Considering Triggering and Predisposing Factors: A Case of Natural Terrain Landslides in Hong Kong |
| title_fullStr | Quantitative Hazard Prediction of Rainfall-Induced Shallow Landslides Considering Triggering and Predisposing Factors: A Case of Natural Terrain Landslides in Hong Kong |
| title_full_unstemmed | Quantitative Hazard Prediction of Rainfall-Induced Shallow Landslides Considering Triggering and Predisposing Factors: A Case of Natural Terrain Landslides in Hong Kong |
| title_short | Quantitative Hazard Prediction of Rainfall-Induced Shallow Landslides Considering Triggering and Predisposing Factors: A Case of Natural Terrain Landslides in Hong Kong |
| title_sort | quantitative hazard prediction of rainfall induced shallow landslides considering triggering and predisposing factors a case of natural terrain landslides in hong kong |
| topic | Frequency statistic Hong Kong quantitative hazard prediction shallow landslides |
| url | https://ieeexplore.ieee.org/document/11003889/ |
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