摘要
Abstract
Based on the Landsat 8 remote sensing imagery data of 2022 from Nansha District,Guangzhou,land use data for the district was derived using supervised classification in ENVI 5.3.Through the construction of a two-dimensional surface inundation model,the study simulated flood inundation and the distribution of waterlogging in the study area during rainfall events of four different return periods(2-year,10-year,50-year,and 100-year storms).The results showed that the majority of the area consisted of permeable surfaces such as aquaculture ponds,natural water bodies,forested areas,and farmland,accounting for 75.41%of the total study area.Under the impact of a 100-year rainstorm,four severe water accumulation zones emerged,with inundation depths exceeding 1.6 meters in the most severe areas.The flood-prone areas were concentrated around long-distance sea-crossing bridges and coastal artificially reclaimed regions.The findings of this study could serve as a valuable reference for the formulation of urban flood control strategies in Nansha District.关键词
MIKE模型/遥感影像解译/设计暴雨/洪涝模拟/易涝点/城市防洪Key words
MIKE model/remote sensing image interpretation/design rainstorm/flood simulation/waterlogging points/urban flood control分类
建筑与水利