Abstract
Based on the obtained population vulnerability values of geological disasters (including landslide, collapse, debris flow and land collapse) in 31 provincial administrative units in China, their spatial pattern is analyzed by the global indicators of spatial association (Global Moran’s I) and the local indicators of spatial association (Local Moran’s I, i.e., LISA), and the reasons for the formation of their spatial pattern are discussed from the perspectives of population exposure, population capacity and environmental conditions around people. The results show that there is a positive spatial autocorrelation of population vulnerability to geological disasters in the study area, which is a spatial cluster distribution. The high value of population vulnerability to geological disasters is concentrated in the Southwest and Central of China, while the low value is concentrated in Northeast China. And their spatial pattern is mainly caused by the spatial aggregation and superposition of population capacity and environmental conditions around people.
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Acknowledgements
This study was financially supported by the National Natural Science Foundation of China (Grant No. 41871174), the “Chunhui Plan” of International Cooperation and Exchange Department of Ministry of Education of China (Grant No. CH2019dmt), and the Project of Science and Technology Department of Sichuan Province (Grant No. 2020YFSY0013)
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Miao, C., Ding, M. Spatial pattern analysis of population vulnerability to geological disasters in China. Arab J Geosci 15, 1507 (2022). https://doi.org/10.1007/s12517-022-10726-x
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DOI: https://doi.org/10.1007/s12517-022-10726-x