Analysis and Risk Assessment of the Relationship Between Urban Anthropogenic Heat Flux and Temperature Based on PYTHON
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.
Urban heat-island effectAnthropogenic heat fluxTemperature sensitivityCooling degree days
万方数据
维普
