考虑时空异质性的洪涝灾害文献文本研究OA北大核心CSTPCD

Flood disasters are among the most severe natural disasters,attracting extensive research.By em-ploying the Latent Dirichlet Allocation topic model and the Term Frequency-Inverse Document Frequency algo-rithm,an in-depth textual analysis of Chinese flood disaster literature is done,aiming to reveal the overall charac-teristics and spatio-temporal heterogeneity of flood disaster research.The results show that:(1)Through topic mining,existing studies can be categorized into five main dimensions:flood disaster risk and response,hydrolog-ical models and climate,urban flood management,ecological protection and social development,and agricultur-al impacts.(2)Based on the TF-IDF algorithm,the spatio-temporal heterogeneity of the research is discerned;from a temporal dimension,research can be divided into stages of awareness of prevention and control,period of systematic research development,and era of diversified research eruption;from a spatial perspective,natural and social backgrounds have a fundamental impact on research focuses.Based on this analysis,the future research directions of flood disaster studies is prognosticated.