Establishing radar-derived rainfall thresholds for a landslide early warning system: a case study in the Sichuan Basin, Southwest China
Abstract Rainfall-induced landslides often result in significant human and property losses, and reliable rainfall thresholds can effectively mitigate the hazards associated with them. However, constructing reliable rainfall thresholds in mountainous areas with sparse rain gauge stations is challengi...
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Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-10464-6 |
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| author | Pinliang Li Qiang Xu Jialiang Liu Fulin Zhang Xu Ji Dalei Peng Chuanhao Pu Wanlin Chen Shuang Yuan Chaoyang He |
| author_facet | Pinliang Li Qiang Xu Jialiang Liu Fulin Zhang Xu Ji Dalei Peng Chuanhao Pu Wanlin Chen Shuang Yuan Chaoyang He |
| author_sort | Pinliang Li |
| collection | DOAJ |
| description | Abstract Rainfall-induced landslides often result in significant human and property losses, and reliable rainfall thresholds can effectively mitigate the hazards associated with them. However, constructing reliable rainfall thresholds in mountainous areas with sparse rain gauge stations is challenging. This study aims to establish reliable empirical rainfall thresholds for the landslide early warning systems (LEWSs) in the study area, utilizing radar-derived rainfall data processed by deep learning. Firstly, the accuracy of radar-derived rainfall data was verified based on the data with rain gauge measurements. Subsequently, utilizing frequency theory and Bayesian probability analysis methods, in conjunction with the collected landslide data and radar-derived rainfall data, various exceedance probability thresholds for rainfall-induced landslides were determined. Furthermore, the influence of cumulative effective antecedent rainfall on the initiation of landslides was investigated. The proposed threshold equations and the effect of antecedent rainfall on landslides are intended to aid in enhancing the LEWSs for this region. The findings provide valuable insights for managing rainfall-induced landslides, and can be applied to other areas with sparse rainfall data, offering a scientific basis for improved landslide prediction and risk management. |
| format | Article |
| id | doaj-art-c0eb5dff7ec847149d60c07901995d3e |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-c0eb5dff7ec847149d60c07901995d3e2025-08-20T04:03:06ZengNature PortfolioScientific Reports2045-23222025-07-0115111710.1038/s41598-025-10464-6Establishing radar-derived rainfall thresholds for a landslide early warning system: a case study in the Sichuan Basin, Southwest ChinaPinliang Li0Qiang Xu1Jialiang Liu2Fulin Zhang3Xu Ji4Dalei Peng5Chuanhao Pu6Wanlin Chen7Shuang Yuan8Chaoyang He9State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of TechnologyState Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of TechnologyChina Academy of Railway Sciences Co., LtdState Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of TechnologyState Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of TechnologyState Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of TechnologyState Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of TechnologyState Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of TechnologyState Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of TechnologyState Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of TechnologyAbstract Rainfall-induced landslides often result in significant human and property losses, and reliable rainfall thresholds can effectively mitigate the hazards associated with them. However, constructing reliable rainfall thresholds in mountainous areas with sparse rain gauge stations is challenging. This study aims to establish reliable empirical rainfall thresholds for the landslide early warning systems (LEWSs) in the study area, utilizing radar-derived rainfall data processed by deep learning. Firstly, the accuracy of radar-derived rainfall data was verified based on the data with rain gauge measurements. Subsequently, utilizing frequency theory and Bayesian probability analysis methods, in conjunction with the collected landslide data and radar-derived rainfall data, various exceedance probability thresholds for rainfall-induced landslides were determined. Furthermore, the influence of cumulative effective antecedent rainfall on the initiation of landslides was investigated. The proposed threshold equations and the effect of antecedent rainfall on landslides are intended to aid in enhancing the LEWSs for this region. The findings provide valuable insights for managing rainfall-induced landslides, and can be applied to other areas with sparse rainfall data, offering a scientific basis for improved landslide prediction and risk management.https://doi.org/10.1038/s41598-025-10464-6Rainfall thresholdRadar-derived rainfallAntecedent rainfallLandslide early warning systemBayesian probability analysisFrequency theory |
| spellingShingle | Pinliang Li Qiang Xu Jialiang Liu Fulin Zhang Xu Ji Dalei Peng Chuanhao Pu Wanlin Chen Shuang Yuan Chaoyang He Establishing radar-derived rainfall thresholds for a landslide early warning system: a case study in the Sichuan Basin, Southwest China Scientific Reports Rainfall threshold Radar-derived rainfall Antecedent rainfall Landslide early warning system Bayesian probability analysis Frequency theory |
| title | Establishing radar-derived rainfall thresholds for a landslide early warning system: a case study in the Sichuan Basin, Southwest China |
| title_full | Establishing radar-derived rainfall thresholds for a landslide early warning system: a case study in the Sichuan Basin, Southwest China |
| title_fullStr | Establishing radar-derived rainfall thresholds for a landslide early warning system: a case study in the Sichuan Basin, Southwest China |
| title_full_unstemmed | Establishing radar-derived rainfall thresholds for a landslide early warning system: a case study in the Sichuan Basin, Southwest China |
| title_short | Establishing radar-derived rainfall thresholds for a landslide early warning system: a case study in the Sichuan Basin, Southwest China |
| title_sort | establishing radar derived rainfall thresholds for a landslide early warning system a case study in the sichuan basin southwest china |
| topic | Rainfall threshold Radar-derived rainfall Antecedent rainfall Landslide early warning system Bayesian probability analysis Frequency theory |
| url | https://doi.org/10.1038/s41598-025-10464-6 |
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