Analysis of Rainfall Characteristics Caused by Urban Geological Disasters: Evidence from Wuhan
Journal: Architecture Engineering and Science DOI: 10.32629/aes.v4i4.1384
Abstract
The research indicates that geological disasters are primarily influenced by weather and climatic conditions, in addition to geological stability factors . Typically, the prediction and forecasting of geological disasters are based on geological conditions, combined with rainfall forecasts. Geological conditions serve as the foundation for the occurrence of geological hazards, often necessitating geological hazard zoning within the corresponding region through disaster investigations and associated calculations. This zoning is further analyzed to predict the risk of geological disaster occurrence based on factors such as prior rainfall frequency, rainfall intensity, and rain type characteristics.
Keywords
machine learning method, geological hazard, analysis
Funding
Wuhan Knowledge Innovation Project (2022022101015009); Key Project of Wuhan Meteorological Bureau (WHZ202201)
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[5] Jin Guodong, LIU Yancong, NIU Wenjie. Comparison between distance-weighted inverse ratio interpolation method and Kriging interpolation method [J]. Journal of Changchun University of Technology (Natural Science Edition),2003,024(003):53-57.
[6] Liu Peiting, Liu Min, Chen Wei, et al. Analysis on the characteristics of annual extreme hourly precipitation in Central China [J]. Rainstorm Hazards, 2019,39(5):508-515. (in Chinese)
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