The Impact of Central Heating on the Urban Thermal Environment Based on Multi-Temporal Remote Sensing Images

Chen，Xinran1,2; Gu，Xingfa1,2,3; Zhan，Yulin1; Wang，Dakang4; Zhang，Yazhou5; Mumtaz，Faisal1,2; Shi，Shuaiyi1; Liu，Qixin1,2

2022-05-01

10.3390/rs14102327

Remote Sensing   影响因子和分区

2072-4292

Research on the impact of anthropogenic heat discharge in a thermal environment is significant in climate change research. Central heating is more common in the winter in Northeast China as an anthropogenic heat. This study investigates the impact of central heating on the thermal environment in Shenyang, Changchun, and Harbin based on multi-temporal land surface temperature retrieval from remote sensing. An equivalent heat island index method was proposed to overcome the problem of the method based on a single-phase image, which cannot evaluate all the central heating season changes. The method improves the comprehensiveness of a thermal environment evaluation by considering the long-term heat accumulation. The results indicated a significant increase in equivalent heat island areas at night with 22.1%, 17.3%, and 19.5% over Shenyang, Changchun, and Harbin. The increase was significantly positively correlated with the central heating supply (with an R-value of 0.89 for Shenyang, 0.93 for Changchun, and 0.86 for Harbin; p < 0.05). The impact of central heating has a more significant effect than the air temperature. The results provide a reference for future studies of urban thermal environment changes.

central heating multi-temporal remote sensing

SCI ; EI

英语

其他

National Natural Science Foundation of China[42005104];

Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology

Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology

WOS:000804277300001

MDPI

20222112159819

Climate change ; Heating ; Landforms ; Remote sensing

Atmospheric Properties:443.1 ; Geology:481.1

2-s2.0-85130574600

Scopus

1.Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing,100094,China
2.University of Chinese Academy of Sciences,Beijing,100049,China
3.School of Remote Sensing and Information Engineering,North China Institute of Aerospace Engineering,Langfang,065000,China
4.School of Environmental Science and Engineering,Southern University of Science and Technology,Shenzhen,518055,China
5.School of Resources and Environmental Engineering,Ludong University,Yantai,264025,China

Chen，Xinran,Gu，Xingfa,Zhan，Yulin,et al. The Impact of Central Heating on the Urban Thermal Environment Based on Multi-Temporal Remote Sensing Images[J]. Remote Sensing,2022,14(10).

Chen，Xinran.,Gu，Xingfa.,Zhan，Yulin.,Wang，Dakang.,Zhang，Yazhou.,...&Liu，Qixin.(2022).The Impact of Central Heating on the Urban Thermal Environment Based on Multi-Temporal Remote Sensing Images.Remote Sensing,14(10).

Chen，Xinran,et al."The Impact of Central Heating on the Urban Thermal Environment Based on Multi-Temporal Remote Sensing Images".Remote Sensing 14.10(2022).