人民长江2024，Vol.55Issue(5)：33-42,10.DOI:10.16232/j.cnki.1001-4179.2024.05.005
基于下垫面结构的喀斯特地区洪涝演化特征研究
Characteristics of flood evolution in karst area based on underlying surface structure
摘要
Abstract
To investigate the characteristics of flood evolution in karst area under different underlying surface structure,based on the rainfall data of Guizhou Province from 1980 to 2020,a Z-index of precipitation was calculated,and the underlying surface structure of Guizhou Province was divided by using the systematic clustering method.The spatial and temporal evolution character-istics of flood and waterlogging were analyzed,and the dominant influencing factors of the underlying surface were discussed.The results showed that:① The underlying surface of Guizhou Province can be divided into deep-cutting karst strong development valley area,shallow-cutting karst medium development valley area,deep-cutting non-karst depression area,and shallow-cut-ting karst strong development valley area.② The flood in Guizhou Province showed a trend of more waterlogging from 1980 to 2020,with large floods occurring more;the spatial distribution pattern of the Z-index was high in the southeast and low in the northwest,with more large floods and severe floods,but the spatial distribution characteristics of the subregions were different.③The influence of each underlying surface condition on the flood was sequenced as topography and landform>karst development in-tensity>surface cutting depth.All levels of flood showed probabilistic transfer under different underlying surface structures,and the transfer phenomenon was active.The results of the study can provide a scientific basis for flood prevention and disaster mitiga-tion in karst basins.关键词
洪涝演化/Z指数/下垫面结构/Morlet小波/状态转移概率矩阵/贵州省/喀斯特流域Key words
flood evolution/Z-index/underlying surface structure/Morlet wavelet/transfer probability matrix/Guizhou Province/karst watershed分类
地球科学引用本文复制引用
谭红梅,贺中华,顾小林,许明金,王茂强,杨树平..基于下垫面结构的喀斯特地区洪涝演化特征研究[J].人民长江,2024,55(5):33-42,10.基金项目
贵州省水利厅自然科学基金项目(KT202237) （KT202237）
国家自然科学基金项目(U1612441,41471032) （U1612441,41471032）
