Typhoons are an environmental threat that mainly affects coastal regions worldwide.The interactive effects of natural and socioeconomic factors on the losses caused by typhoon disasters need further examination.In thi...Typhoons are an environmental threat that mainly affects coastal regions worldwide.The interactive effects of natural and socioeconomic factors on the losses caused by typhoon disasters need further examination.In this study,GeoDetector was used to quantify the determinant powers of natural and socioeconomic factors and their interactive effects on the rate of house collapse in Guangdong and Guangxi Provinces of southeast China caused by Typhoon Mangkhut in 2018.We further identify the dominant factors that influenced the disaster losses.The local indicators of spatial association method was then introduced to explain the spatial heterogeneity of the disaster losses under the influence of the dominant factor.The results indicate that both natural and socioeconomic factors significantly affected the house collapse rate.The maximum precipitation was the dominant factor,with a q value of 0.21,followed by slope and elevation,with q values of 0.17 and 0.13,respectively.Population density and per capita gross domestic product had q values of 0.15 and0.13,respectively.Among all of the interactive effects of the influencing factors,the interactive effect of elevation and the ratio of brick-wood houses had the greatest influence(q=0.63)on the house collapse rate.These results can contribute to the formulation of more specific safety and property protection policies.展开更多
The evaluation model was established to estimate the number of houses collapsed during typhoon disaster for Zhejiang Province.The factor leading to disaster,the environment fostering disaster and the exposure of build...The evaluation model was established to estimate the number of houses collapsed during typhoon disaster for Zhejiang Province.The factor leading to disaster,the environment fostering disaster and the exposure of buildings were processed by Principal Component Analysis.The key factor was extracted to support input of vector machine model and to build an evaluation model;the historical fitting result kept in line with the fact.In the real evaluation of two typhoons landed in Zhejiang Province in 2008 and 2009,the coincidence of evaluating result and actual value proved the feasibility of this model.展开更多
基金financially supported by the following Grants:National Key Research and Development Plan of China(2019YFA0606901,2017YFC1503002)
文摘Typhoons are an environmental threat that mainly affects coastal regions worldwide.The interactive effects of natural and socioeconomic factors on the losses caused by typhoon disasters need further examination.In this study,GeoDetector was used to quantify the determinant powers of natural and socioeconomic factors and their interactive effects on the rate of house collapse in Guangdong and Guangxi Provinces of southeast China caused by Typhoon Mangkhut in 2018.We further identify the dominant factors that influenced the disaster losses.The local indicators of spatial association method was then introduced to explain the spatial heterogeneity of the disaster losses under the influence of the dominant factor.The results indicate that both natural and socioeconomic factors significantly affected the house collapse rate.The maximum precipitation was the dominant factor,with a q value of 0.21,followed by slope and elevation,with q values of 0.17 and 0.13,respectively.Population density and per capita gross domestic product had q values of 0.15 and0.13,respectively.Among all of the interactive effects of the influencing factors,the interactive effect of elevation and the ratio of brick-wood houses had the greatest influence(q=0.63)on the house collapse rate.These results can contribute to the formulation of more specific safety and property protection policies.
基金Supported by Scientific Research Project for Commonwealth (GYHY200806017)Innovation Project for Graduate of Jiangsu Province (CX09S-018Z)
文摘The evaluation model was established to estimate the number of houses collapsed during typhoon disaster for Zhejiang Province.The factor leading to disaster,the environment fostering disaster and the exposure of buildings were processed by Principal Component Analysis.The key factor was extracted to support input of vector machine model and to build an evaluation model;the historical fitting result kept in line with the fact.In the real evaluation of two typhoons landed in Zhejiang Province in 2008 and 2009,the coincidence of evaluating result and actual value proved the feasibility of this model.
