Predicting effect of forthcoming population growth–induced impervious surface increase on regional thermal environment: Xiong'an New Area, North China
Predicting effect of forthcoming population growth–induced impervious surface increase on regional thermal environment: Xiong'an New Area, North China
复制标题
未来人口增长引起的不透水面增加对区域热环境的预测效应：华北雄安新区
DOI：
10.1016/j.buildenv.2018.03.035
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发表时间：
2018-05
影响因子：
7.4
通讯作者：
Lin Zhongli
中科院分区：
文献类型：
--
作者：
Xu Hanqiu;Shi Tingting;Wang Meiya;Fang Canying;Lin Zhongli
The Xiong'an New Area is a state-level new area to be established in the Baoding area of Hebei province, North China. The planning population growth goal for the area is going to reach 2.5 million and the area is planned to expand to 2000 km2. The potential population growth and area expansion will result in massive increase in impervious surface (IS) dominated built land and thus may impact the area's thermal environment. Therefore, based on current land cover types and thermal environment status in the area, this study developed a statistical model to predict thermal effects responding to the forthcoming population and associated IS increase in the new area using remote sensing technology. This was achieved by relating population growth to IS area increase, exploring the relationships among population, land cover, and land surface temperature (LST), and developing a metric for estimating a balance amount of total IS area to be expanded. The prediction shows that IS has a noteworthy effect on regional thermal environment. The variation in the proportions of the IS in the new area can result in a significant shift of LST. A balance amount of total IS area in the 2000 km2new area is 433 km2. Exceeding/reducing the amount would result in a rise/decline of the area's LST. Introducing a quantity of IS area-related population density (IPD) reveals that the area's LST is closely related to IPD when the total area and future population of the new area are given.
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DOI：
10.1002/joc.3738
发表时间：
2014-03
期刊：
International Journal of Climatology
影响因子：
--
作者：
Hanqiu Xu
通讯作者：
Hanqiu Xu
影响因子：
1.3
作者：
Hanqiu Xu
通讯作者：
Hanqiu Xu
影响因子：
4.9
作者：
Orit Rotem-Mindali;Yaron Michael;D. Helman;I. Lensky
通讯作者：
Orit Rotem-Mindali;Yaron Michael;D. Helman;I. Lensky
影响因子：
4.8
作者：
Jimenez-Munoz, Juan C.;Sobrino, Jose A.;Cristobal, Jordi
通讯作者：
Cristobal, Jordi
DOI：
10.3390/rs6053879
发表时间：
2014-04
期刊：
Remote. Sens.
影响因子：
--
作者：
E. Wentz;S. Anderson;M. Fragkias;M. Netzband;V. Mesev;S. Myint;D. Quattrochi;Atiqur Rahman;
通讯作者：
E. Wentz;S. Anderson;M. Fragkias;M. Netzband;V. Mesev;S. Myint;D. Quattrochi;Atiqur Rahman;