Loading…
Mapping urban cool air connectivity in a megacity
Urban heat islands and global warming negatively impact human health, and it is important to analyze the effects of urban cool islands (UCIs). Previous studies have used land surface temperature to define the effect of UCIs, but they have difficulty representing the spread of cool air. Here, we sugg...
Saved in:
Published in: | Urban climate 2023-01, Vol.47, p.101362, Article 101362 |
---|---|
Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | Urban heat islands and global warming negatively impact human health, and it is important to analyze the effects of urban cool islands (UCIs). Previous studies have used land surface temperature to define the effect of UCIs, but they have difficulty representing the spread of cool air. Here, we suggest a new method for mapping the UCI effect using a landscape connectivity model. We combined the urban heat flux to simulate the cooling potential and surface roughness to represent resistance to cool air spread from UCIs across 605 km2 of Seoul, Republic of Korea. The results identify high cool air connectivity areas in the Han River, which bisects Seoul, and along ridges that provide a cooling potential of approximately 440 W/m2. Areas with low cool air connectivity have a high frontal area index, which blocks cool air flow. The mapped cool air connectivity results have a − 0.56 correlation coefficient with monitored air temperatures, which shows that our result can be used to identify the UCIs network and to optimize the best areas for new UCIs. This research method can be utilized to plan cooling strategies for cities with few air-temperature monitoring stations.
•We modeled urban cool air connectivity (CAC) with a landscape connectivity model•Heat flux was used for cooling potential and roughness for cool air spread.•Air temperature had −0.56 correlation coefficient with CAC.•Strong CAC areas were open space with high cooling potential.•Weak CAC areas were detected high-rise building areas. |
---|---|
ISSN: | 2212-0955 2212-0955 |
DOI: | 10.1016/j.uclim.2022.101362 |