This article proposes a data analysis method by the SUEWS model and Python to address the increas-ingly severe and complex situation of the global urban heat-island effect to explore the importance and formation mechanism of the effect of anthropogenic heat flux on the urban heat-island effect,with a focus on analyzing the impact of temperature changes on cooling degree days and anthropogenic heat flux.Through the analysis and re-search of the big data of urban climate,it is found that there is a certain correlation between cooling degree days and anthropogenic heat flux,and that there is a sensitive response relationship between anthropogenic heat flux and temperature changes.Finally,corresponding suggestions and measures are proposed.
关键词
城市热岛效应/人为热通量/温度敏感性/制冷度日
Key words
Urban heat-island effect/Anthropogenic heat flux/Temperature sensitivity/Cooling degree days
维普
万方数据