Probability analysis of landslide based on typhoon track

Typhoon rainstorm is the main inducing factor of landslides in southeast hills and mountains in our country. Revealing the correlation between typhoon path and landslides has important theoretical and practical significance for monitoring and early warning of typhoon-rainstorm soil landslides in sou...

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Main Authors: Ruoang LIN, Wenbin JIAN, Wen NIE
Format: Article
Language:zho
Published: Editorial Office of The Chinese Journal of Geological Hazard and Control 2022-08-01
Series:Zhongguo dizhi zaihai yu fangzhi xuebao
Subjects:
Online Access:https://www.zgdzzhyfzxb.com/en/article/doi/10.16031/j.cnki.issn.1003-8035.202011036
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author Ruoang LIN
Wenbin JIAN
Wen NIE
author_facet Ruoang LIN
Wenbin JIAN
Wen NIE
author_sort Ruoang LIN
collection DOAJ
description Typhoon rainstorm is the main inducing factor of landslides in southeast hills and mountains in our country. Revealing the correlation between typhoon path and landslides has important theoretical and practical significance for monitoring and early warning of typhoon-rainstorm soil landslides in southeast hills and mountains. In this paper, based on the typhoon data directly passing through Fujian Province or indirectly affecting Fujian Province from 2015 to 2019, as well as the rainfall data and typhoon-rainstorm landslide data during these typhoon events, the Kriging interpolation method in ArcGIS software is used to couple the typhoon path, rainfall data and typhoon-rainstorm landslide data. Through the logistic regression method in SPSS software, the landslide probability model based on typhoon track in Quanzhou City is obtained. Using Kriging interpolation method and logistic regression method, we take the landslide occurred during typhoon Dujuan as an example to verify the model. The correct probability of landslide caused by rainfall data measured by actual rainfall station is 77%, and the correct probability of actual landslide is 100% with a satisfactory prediction effect. Based on the actual rainfall calculation data, the false alarm rate is 21%, but the actual landslide false alarm rate is 0, which is in line with the safety. Therefore, the model can be used to predict the occurrence probability of typhoon-rainstorm landslides under the influence of typhoon passing through Quanzhou City.
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spelling doaj.art-ede4c0fd7c4048d9aa4b922166625c7d2023-03-22T16:11:51ZzhoEditorial Office of The Chinese Journal of Geological Hazard and ControlZhongguo dizhi zaihai yu fangzhi xuebao1003-80352022-08-01334182710.16031/j.cnki.issn.1003-8035.202011036202011036Probability analysis of landslide based on typhoon trackRuoang LIN0Wenbin JIAN1Wen NIE2Department of Geotechnical and Geological Engineering, Fuzhou University, Fuzhou, Fujian 350116, ChinaDepartment of Geotechnical and Geological Engineering, Fuzhou University, Fuzhou, Fujian 350116, ChinaDepartment of Geotechnical and Geological Engineering, Fuzhou University, Fuzhou, Fujian 350116, ChinaTyphoon rainstorm is the main inducing factor of landslides in southeast hills and mountains in our country. Revealing the correlation between typhoon path and landslides has important theoretical and practical significance for monitoring and early warning of typhoon-rainstorm soil landslides in southeast hills and mountains. In this paper, based on the typhoon data directly passing through Fujian Province or indirectly affecting Fujian Province from 2015 to 2019, as well as the rainfall data and typhoon-rainstorm landslide data during these typhoon events, the Kriging interpolation method in ArcGIS software is used to couple the typhoon path, rainfall data and typhoon-rainstorm landslide data. Through the logistic regression method in SPSS software, the landslide probability model based on typhoon track in Quanzhou City is obtained. Using Kriging interpolation method and logistic regression method, we take the landslide occurred during typhoon Dujuan as an example to verify the model. The correct probability of landslide caused by rainfall data measured by actual rainfall station is 77%, and the correct probability of actual landslide is 100% with a satisfactory prediction effect. Based on the actual rainfall calculation data, the false alarm rate is 21%, but the actual landslide false alarm rate is 0, which is in line with the safety. Therefore, the model can be used to predict the occurrence probability of typhoon-rainstorm landslides under the influence of typhoon passing through Quanzhou City.https://www.zgdzzhyfzxb.com/en/article/doi/10.16031/j.cnki.issn.1003-8035.202011036typhoon pathkriging interpolationlogistic regression methodprobability model
spellingShingle Ruoang LIN
Wenbin JIAN
Wen NIE
Probability analysis of landslide based on typhoon track
Zhongguo dizhi zaihai yu fangzhi xuebao
typhoon path
kriging interpolation
logistic regression method
probability model
title Probability analysis of landslide based on typhoon track
title_full Probability analysis of landslide based on typhoon track
title_fullStr Probability analysis of landslide based on typhoon track
title_full_unstemmed Probability analysis of landslide based on typhoon track
title_short Probability analysis of landslide based on typhoon track
title_sort probability analysis of landslide based on typhoon track
topic typhoon path
kriging interpolation
logistic regression method
probability model
url https://www.zgdzzhyfzxb.com/en/article/doi/10.16031/j.cnki.issn.1003-8035.202011036
work_keys_str_mv AT ruoanglin probabilityanalysisoflandslidebasedontyphoontrack
AT wenbinjian probabilityanalysisoflandslidebasedontyphoontrack
AT wennie probabilityanalysisoflandslidebasedontyphoontrack