School of Architecture, Feng Chia University, Taichung City 407, Taiwan.
Ph.D. Program for Civil Engineering, Water Resources Engineering, and Infrastructure Planning, Xitun District, Feng Chia University, No. 100 Wenhua Road, Taichung City, 407802, Taiwan.
Environ Monit Assess. 2022 Feb 24;194(3):219. doi: 10.1007/s10661-022-09859-z.
In the context of extreme climate due to global climate transition, rainwater adaptation in resilient cities is a key issue for countries. The purpose of this study is to identify the rainfall hotspots in urban areas and investigate whether these hotspots have environmental conditions for rainfall adaptation. The study site is located in the Taichung area. This study collects rainfall data from rainfall stations at elevations below 500 m, employs QGIS (quantum GIS) to create an inverse distance weighted graphical distribution of rainfall to determine the hotspots where the maximum and minimum rainfalls occur, identifies the topography, green spaces, water areas, and buildings in the catchment, integrates the coverage area in the project, and estimates the amount of rainwater that could be directly absorbed by the land within the catchment. The results of this study show that, among the rainfall stations at an elevation below 100 m where most urban areas are located, the Taichung rainfall station is the area with the highest number of rainfall events from May to August. Without reliance on gully or river drainage, the natural infiltration of the land in the catchment could only adjust to 80 mm of heavy precipitation within 24 h of the rainfall warning level of the Central Weather Bureau.
在全球气候转变导致的极端气候背景下，弹性城市中的雨水适应是各国面临的一个关键问题。本研究旨在确定城市地区的降雨热点，并调查这些热点是否具备雨水适应的环境条件。研究地点位于台中市地区。本研究从海拔低于 500 米的降雨站收集降雨数据，使用 QGIS（量子 GIS）创建降雨的反距离加权图形分布，以确定最大和最小降雨量发生的热点位置，识别集水区中的地形、绿地、水域和建筑物，整合项目覆盖区域，并估计集水区内土地可直接吸收的降雨量。研究结果表明，在海拔低于 100 米的降雨站中，这些降雨站大多位于城市地区，台中市降雨站是 5 月至 8 月降雨事件最多的地区。如果不依赖于沟渠或河流排水，集水区内土地的自然渗透只能在中央气象局降雨警报级别下调整 24 小时内 80 毫米的强降雨。
