中国科学院大学学报2021，Vol.38Issue(5)：611-623,13.DOI:10.7523/j.issn.2095-6134.2021.05.005
广东省山洪灾害分布特征及关键影响因素分析
Geospatial distribution characteristics and key influencing factors of mountain torrents in Guangdong Province,China
摘要
Abstract
According to the data from mountain torrent sites,the geospatial distribution regularity of mountain torrents was first explored.Second,six influencing factors such as relative relief,slope gradient,drainage density,stratigraphy,average annual 24-hour rainfall,and distance to rivers,were chosen to explore the relationship between torrents and these factors.The study area was classified into 179801 grid cells,and each cell data of six factors was collected using ArcGIS software.Then,the statistical analysis of the quantity distribution and occurrence probability of torrents was carried out.The results showed that both the quantity and density of torrents in the Hanjiang River basin were the largest in Guangdong Province.In terms of administrative division,Meizhou has the largest quantity of torrents while Chaozhou has the highest density.Results also showed that relationships between the occurrence probability of torrents and the relative relief/slope/drainage density were described by y =a1eb1x + a2eb2x with different fitting constants while relationships between the occurrence probability and the stratigraphy/average annual 24-hour rainfall/distance to rivers could be described by y =aebx with different fitting parameters.The study results can provide basis for prevention and control of mountain torrents in Guangdong Province.关键词
山洪灾害/分布特征/影响因素/概率模型/广东省Key words
mountain torrents/distribution characteristics/influencing factor/probability method/Guangdong Province分类
天文与地球科学引用本文复制引用
王钧,宇岩,宫清华,袁少雄,陈军..广东省山洪灾害分布特征及关键影响因素分析[J].中国科学院大学学报,2021,38(5):611-623,13.基金项目
Supported by the Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou),China (GML2019ZD0301),National Natural Science Foundation of China (41771024,41977413),GDAS'Project of Science and Technology Development (2020GDASYL-20200301003,2020GDASYL-040101,2020GDASYL-20200102002),and Guangdong Provincial Science and Technology Program (2018B030324002,2018B030324001). （Guangzhou）
