Variable Urbanization Warming Effects across Metropolitans of China and Relevant Driving Factors
Variable Urbanization Warming Effects across Metropolitans of China and Relevant Driving Factors
复制标题
中国大城市不同的城市化变暖效应及相关驱动因素
DOI：
10.3390/rs12091500
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发表时间：
2020-05
期刊：
影响因子：
5
通讯作者：
Zexi Shen
中科院分区：
文献类型：
--
作者：
Qiang Zhang;Zixuan Wu;Huiqian Yu;Xiudi Zhu;Zexi Shen
Urbanization is mainly characterized by the expansion of impervious surface (IS) and hence modifies hydrothermal properties of the urbanized areas. This process results in rising land surface temperature (LST) of the urbanized regions, i.e., urban heat island (UHI). Previous studies mainly focused on relations between LST and IS over individual city. However, because of the spatial heterogeneity of UHI from individual cities to urban agglomerations and the influence of relevant differences in climate background across urban agglomerations, the spatial-temporal scale independence of the IS-LST relationship still needs further investigation. In this case, based on Landsat-8 Operational Land Imager and Thermal Infrared Sensor (Landsat 8 OLI/TIRS) remote sensing image and multi-source remote sensing data, we extracted IS using VrNIR-BI (Visible red and NIR-based built-up Index) and calculated IS density across three major urban agglomerations across eastern China, i.e., the Beijing-Tianjin-Hebei (BTH), the Yangtze River Delta (YRD), and the Pearl River Delta (PRD) to investigate the IS-LST relations on different spatial and temporal scales and clarify the driving factors of LST. We find varying warming effects of IS on LST in diurnal and seasonal sense at different time scales. Specifically, the IS has stronger impacts on increase of LST during daytime than during nighttime and stronger impacts on increase of LST during summer than during winter. On different spatial scales, more significant enhancing effects of IS on LST can be observed across individual city than urban agglomerations. The Pearson correlation coefficient (r) between IS and LST at the individual urbanized region can be as high as 0.94, indicating that IS can well reflect LST changes within individual urbanized region. However, relationships between IS and LST indicate nonlinear effects of IS on LST. Because of differences in spatial scales, latitudes, and local climates, we depicted piecewise linear relations between IS and LST across BTH when the IS density was above 10% to 17%. Meanwhile, linear relations still stand between IS density and LST across YRD and PRD. Besides, the differences in the IS-LST relations across urban agglomeration indicate more significant enhancing effects of IS on LST across PRD than YRD and BTH. These findings help to enhance human understanding of the warming effects of urbanization or UHI at different spatial and temporal scales and is of scientific and practical merits for scientific urban planning.
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影响因子：
2.5
作者：
Yuling Ma;Kun Yang;Shaohua Zhang;Mingchang Li
通讯作者：
Yuling Ma;Kun Yang;Shaohua Zhang;Mingchang Li
影响因子：
--
作者：
王静 Wang Jing;周伟奇 Zhou Weiqi;许开鹏 Xu Kaipeng;颜景理 Yan Jingli
通讯作者：
王静 Wang Jing;周伟奇 Zhou Weiqi;许开鹏 Xu Kaipeng;颜景理 Yan Jingli
DOI：
10.1016/j.scitotenv.2018.04.091
发表时间：
2018-09
期刊：
The Science of the total environment
影响因子：
--
作者：
Xuefan Zhou;H. Chen
通讯作者：
Xuefan Zhou;H. Chen
影响因子：
3.8
作者：
Xuelong Chen;Z. Su;Yaoming Ma;J. Cleverly;M. Liddell
通讯作者：
Xuelong Chen;Z. Su;Yaoming Ma;J. Cleverly;M. Liddell
影响因子：
13.5
作者：
Decheng Zhou;Shuqing Zhao;Shuguang Liu;Liangxia Zhang;Chao Zhu
通讯作者：
Decheng Zhou;Shuqing Zhao;Shuguang Liu;Liangxia Zhang;Chao Zhu