Estimation of anthropogenic heat emissions in China using Cubist with points-of-interest and multisource remote sensing data

Environmental Pollution
Qian ChenWenze Yue

Abstract

Rapid urbanization and industrialization in China stimulated the great increase of energy consumption, which leads to drastic rise in the emission of anthropogenic waste heat. Anthropogenic heat emission (AHE) is a crucial component of urban energy budget and has direct implications for investigating urban climate and environment. However, reliable and accurate representation of AHE across China is still lacking. This study presented a new machine learning-based top-down approach to generate a gridded anthropogenic heat flux (AHF) benchmark dataset at 1 km spatial resolution for China in 2010. Cubist models were constructed by fusing points-of-interest (POI) data of varying categories and multisource remote sensing data to explore the nonlinear relationships between various geographic predictors and AHE from different heat sources. The strategy of developing specific models for different components and exploiting the complementary features of POIs and remote sensing data generated a more reasonable distribution of AHF. Results showed that the AHF values in urban centers of metropolises over China range from 60 to 190 W m-2. The highest AHF values were observed in some heavy industrial zones with value up to 415 W m-2. Compared ...Continue Reading

References

Apr 17, 2014·International Journal of Environmental Research and Public Health·Wangming YangXuefeng Cui
Jun 11, 2015·Scientific Reports·Decheng ZhouYongqiang Liu
May 15, 2016·Environmental Pollution·Suranjith Bandara KoralegedaraChing-Huei Kuo
Aug 16, 2019·Environmental Science & Technology·Ping ZhangFei Lun

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