水利学报2025，Vol.56Issue(8)：1012-1024,13.DOI:10.13243/j.cnki.slxb.20240064
链生灾害多源数据分析与灾害趋势研究
Research on multi-source data analysis and disaster trend of chain-induced disasters:A case study of typhoon"DuSuri"
摘要
Abstract
In the summer of 2023,due to the landing of typhoon'Dusuri'and the interaction between typhoon water vapor northward and cold air,China's southeast,East,North and northeast regions suffered serious natural disas-ters.Based on the typical typhoon disaster chain,this paper analyzes the spatio-temporal distribution and variation characteristics of multi-source heterogeneous data such as high-level meteorological early warning,disaster report-ing,tower monitoring,traffic monitoring and public opinion heat used in the process of disaster accident scheduling from the perspective of data correlation,and compares the trend correlation and time deviation between various types of information and the change of actual disaster severity.The results show that the peak value of the tower monitoring data is close to the peak value of the disaster,and the offset is 0.35-2.21d less than that of other types of data,which can be used to quickly analyze the overall disaster situation of natural disasters.The traffic monitoring data curve has the highest degree of it with the disaster loss curve and can better reflect the local disaster loss changes and post-disaster recovery in the process of mountain torrents,geological disasters,watershed floods,and other disasters.Using traffic big data monitoring,tower big data monitoring,etc.as core elements can provide auxiliary data for disas-ter assessment and post-disaster reconstruction.关键词
台风灾害链/指挥调度/多源数据/数据分析/数据应用Key words
typhoon disaster chain/command and dispatch/multi-source data/data analysis/data application分类
天文与地球科学引用本文复制引用
靳文波,刘永强,房玉东,王棚飞,薛明,刘磊磊..链生灾害多源数据分析与灾害趋势研究[J].水利学报,2025,56(8):1012-1024,13.基金项目
国家重点研发计划项目(2022YFC3090603) （2022YFC3090603）
北京市教育委员会科技计划项目(KZ202211417049) （KZ202211417049）
