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author:

Xu, Hanqiu (Xu, Hanqiu.) [1] (Scholars:徐涵秋) | Shi, Tingting (Shi, Tingting.) [2] | Wang, Meiya (Wang, Meiya.) [3] | Fang, Canying (Fang, Canying.) [4] | Lin, Zhongli (Lin, Zhongli.) [5]

Indexed by:

EI Scopus SCIE

Abstract:

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 km(2). 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 km(2) new area is 433 km(2). 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.

Keyword:

Impervious surface Land surface temperature Model prediction Population density Remote sensing Xiong'an new area

Community:

  • [ 1 ] [Xu, Hanqiu]Fuzhou Univ, Coll Environm & Resources, Key Lab Spatial Data Min & Informat Sharing, Minist Educ, Fuzhou 350116, Fujian, Peoples R China
  • [ 2 ] [Shi, Tingting]Fuzhou Univ, Coll Environm & Resources, Key Lab Spatial Data Min & Informat Sharing, Minist Educ, Fuzhou 350116, Fujian, Peoples R China
  • [ 3 ] [Wang, Meiya]Fuzhou Univ, Coll Environm & Resources, Key Lab Spatial Data Min & Informat Sharing, Minist Educ, Fuzhou 350116, Fujian, Peoples R China
  • [ 4 ] [Fang, Canying]Fuzhou Univ, Coll Environm & Resources, Key Lab Spatial Data Min & Informat Sharing, Minist Educ, Fuzhou 350116, Fujian, Peoples R China
  • [ 5 ] [Lin, Zhongli]Fuzhou Univ, Coll Environm & Resources, Key Lab Spatial Data Min & Informat Sharing, Minist Educ, Fuzhou 350116, Fujian, Peoples R China
  • [ 6 ] [Xu, Hanqiu]Fuzhou Univ, Fujian Prov Key Lab Remote Sensing Soil Eros, Inst Remote Sensing Informat Engn, Fuzhou 350116, Fujian, Peoples R China
  • [ 7 ] [Shi, Tingting]Fuzhou Univ, Fujian Prov Key Lab Remote Sensing Soil Eros, Inst Remote Sensing Informat Engn, Fuzhou 350116, Fujian, Peoples R China
  • [ 8 ] [Wang, Meiya]Fuzhou Univ, Fujian Prov Key Lab Remote Sensing Soil Eros, Inst Remote Sensing Informat Engn, Fuzhou 350116, Fujian, Peoples R China
  • [ 9 ] [Fang, Canying]Fuzhou Univ, Fujian Prov Key Lab Remote Sensing Soil Eros, Inst Remote Sensing Informat Engn, Fuzhou 350116, Fujian, Peoples R China
  • [ 10 ] [Lin, Zhongli]Fuzhou Univ, Fujian Prov Key Lab Remote Sensing Soil Eros, Inst Remote Sensing Informat Engn, Fuzhou 350116, Fujian, Peoples R China

Reprint 's Address:

  • 徐涵秋

    [Xu, Hanqiu]Fuzhou Univ, Coll Environm & Resources, Key Lab Spatial Data Min & Informat Sharing, Minist Educ, Fuzhou 350116, Fujian, Peoples R China

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Source :

BUILDING AND ENVIRONMENT

ISSN: 0360-1323

Year: 2018

Volume: 136

Page: 98-106

4 . 8 2

JCR@2018

7 . 1 0 0

JCR@2023

ESI Discipline: ENGINEERING;

ESI HC Threshold:170

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count: 31

SCOPUS Cited Count: 38

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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