Driving forces of impervious surface in a world metropolitan area, Shanghai: threshold and scale effect

被引:0
|
作者
Bingbing Fu
Yuru Peng
Jun Zhao
Chenhao Wu
Qiuxia Liu
Kexin Xiao
Guangren Qian
机构
[1] Shanghai University,Department of Environment Science and Engineering
[2] Shanghai Industrial Development Research and Appraisal Center,undefined
来源
关键词
Impervious surface coefficient; Driving forces; Population density; Threshold;
D O I
暂无
中图分类号
学科分类号
摘要
Shanghai is one of the largest metropolitan areas in the world, during the rapid urbanization of the past decades, impervious surface expanded dramatically and became a main factor influencing surface water quality. Thus, exploring the driving forces of impervious surface has great implications in such metropolitan area. In this study, an impervious surface coefficient method (ISC) was used to measure the percentage of total impervious area (PTIA) of Shanghai; regression analysis was conducted to define the relationship between PTIA and three socio-economic factors, population density, unit area gross domestic product, and unit area industrial output at the city and district scale. Results showed that the industrial land use generated the highest ISC value, followed by high-density residential. Strong correlations were showed between PTIA and socio-economic indicators, in which population density was the most significant. Threshold effect was presented that when population density was higher than 15000 per/km2, this relationship would become less significant and PTIA remained stable. Similar effects were found when unit area gross domestic product exceeded 125 million yuan/km2. Scale effect was also discussed that the relationship was more significant at city scale than district. An improved understanding of the threshold effect and scale effect will help guide future urban planning and design new urban ecosystem policies.
引用
收藏
相关论文
共 50 条
  • [21] Assessing the quantitative relationships between the impervious surface area and surface heat island effect during urban expansion
    Ma, Xiaoliang
    Peng, Shuangyun
    PEERJ, 2021, 9
  • [22] Surface urban heat island effect and its spatiotemporal dynamics in metropolitan area: a case study in the Zhengzhou metropolitan area, China
    Meng, Fei
    Yan, Shuling
    Tian, Guanghui
    Wang, Yudong
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2023, 11
  • [23] MNDISI: a multi- source composition index for impervious surface area estimation at the individual city scale.
    Liu, C.
    Shao, Z.
    Chen, M.
    Luo, H.
    REMOTE SENSING LETTERS, 2014, 5 (02) : 204 - 204
  • [24] GIS-based climate change vulnerability mapping at the urban scale: a case study of Shanghai metropolitan area in China
    Wang, Yuan
    Zhao, Lixia
    Yang, Dandan
    Moses, Michael
    International Journal of Environmental Studies, 2015, 72 (06) : 1002 - 1016
  • [25] Characteristics of impervious surface and its effect on direct runoff: a case study in a rapidly urbanized area
    Li, Chunlin
    Liu, Miao
    Hu, Yuanman
    Zong, Min
    Zhao, Minghua
    Walter, M. Todd
    WATER SUPPLY, 2019, 19 (07) : 1885 - 1891
  • [26] Effect of impervious surface area and vegetation changes on mean surface temperature over Tshwane metropolis, Gauteng Province, South Africa.
    Adeyemi, Adeniyi
    Botai, Joel
    Ramoelo, Abel
    van der Merwe, Fritz
    Tsela, Philemon
    SOUTH AFRICAN JOURNAL OF GEOMATICS, 2015, 4 (04): : 351 - 368
  • [27] Investigating the effect of spatial patterns of artificial impervious surface on PM2.5 at the intra-urban scale
    Fan, Zhiyu
    Zhan, Qingming
    Wang, Yun
    Shao, Zhenfeng
    Fan, Yuli
    Zhang, Yifeng
    GEO-SPATIAL INFORMATION SCIENCE, 2024,
  • [28] Spatial and temporal variations of urban heat island effect and the effect of percentage impervious surface area and elevation on land surface temperature: Study of Chandigarh city, India
    Mathew, Aneesh
    Khandelwal, Sumit
    kaul, Nivedita
    SUSTAINABLE CITIES AND SOCIETY, 2016, 26 : 264 - 277
  • [29] Scale effect of coastal landscape pattern stability and driving forces: a case study of Guangdong Province, China
    Kanglin Chen
    Yushi Li
    Jianzhou Gong
    Gangte Lin
    Acta Oceanologica Sinica, 2024, 43 (09) : 122 - 135
  • [30] Scale effect of coastal landscape pattern stability and driving forces: a case study of Guangdong Province, China
    Chen, Kanglin
    Li, Yushi
    Gong, Jianzhou
    Lin, Gangte
    ACTA OCEANOLOGICA SINICA, 2024, 43 (09) : 122 - 135