Literature DB >> 31773378

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

Bingbing Fu1, Yuru Peng1, Jun Zhao2, Chenhao Wu1, Qiuxia Liu1, Kexin Xiao3, Guangren Qian1.   

Abstract

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.

Entities:  

Keywords:  Driving forces; Impervious surface coefficient; Population density; Threshold

Mesh:

Year:  2019        PMID: 31773378     DOI: 10.1007/s10661-019-7887-0

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  8 in total

1.  An analysis of urban development and its environmental impact on the Tampa Bay watershed.

Authors:  George Xian; Mike Crane; Junshan Su
Journal:  J Environ Manage       Date:  2007-01-08       Impact factor: 6.789

Review 2.  Identification and quantification of the hydrological impacts of imperviousness in urban catchments: a review.

Authors:  Carol R Jacobson
Journal:  J Environ Manage       Date:  2011-02-18       Impact factor: 6.789

3.  Assessment of urbanization/impervious effects on water quality in the urban river Annaba (Eastern Algeria) using physicochemical parameters.

Authors:  R Hafsi; L Ouerdachi; A E O Kriker; H Boutaghane
Journal:  Water Sci Technol       Date:  2016-11       Impact factor: 1.915

4.  Monitoring the changes in impervious surface ratio and urban heat island intensity between 1987 and 2011 in Szeged, Hungary.

Authors:  László Henits; László Mucsi; Csilla Mariann Liska
Journal:  Environ Monit Assess       Date:  2017-01-31       Impact factor: 2.513

5.  The acquisition of impervious surface area from LANDSAT 8 satellite sensor data using urban indices: a comparative analysis.

Authors:  Aliihsan Sekertekin; Saygin Abdikan; Aycan Murat Marangoz
Journal:  Environ Monit Assess       Date:  2018-06-07       Impact factor: 2.513

6.  Impervious surface area is a key predictor for urban plant diversity in a city undergone rapid urbanization.

Authors:  Zhaogui Yan; Mingjun Teng; Wei He; Anqian Liu; Yiran Li; Pengcheng Wang
Journal:  Sci Total Environ       Date:  2018-09-05       Impact factor: 7.963

7.  Determination effects of impervious areas on urban watershed.

Authors:  Burcu Şimşek Uygun; Mine Albek
Journal:  Environ Sci Pollut Res Int       Date:  2014-09-03       Impact factor: 4.223

8.  Beyond Impervious: Urban Land-Cover Pattern Variation and Implications for Watershed Management.

Authors:  Scott M Beck; Melissa R McHale; George R Hess
Journal:  Environ Manage       Date:  2016-04-19       Impact factor: 3.266

  8 in total

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