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作者:

Tsou, Jin Yeu (Tsou, Jin Yeu.) | Gao, Yanfei (Gao, Yanfei.) | Zhang, Yuanzhi (Zhang, Yuanzhi.) | Sun, Genyun (Sun, Genyun.) | Ren, Jinchang (Ren, Jinchang.) | Li, Yu (Li, Yu.)

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EI Scopus SCIE

摘要:

In this study, we present the evaluation of urban land carrying capacity (ULCC) based on an ecological sensitivity analysis. Remote sensing data and geographic information system (GIS) technology are employed to analyze topographic conditions, land-use types, the intensity of urban development, and ecological environmental sensitivity to create reasonable evaluation indicators to analyze urban land carrying capacity based on ecological sensitivity in the rapidly developing megacity of Hangzhou, China. In the study, ecological sensitivity is grouped into four levels: non-sensitive, lightly sensitive, moderately sensitive, and highly sensitive. The results show that the ecological sensitivity increases progressively from the center to the periphery. The results also show that ULCC is determined by ecologically sensitive levels and that the ULCC is categorized into four levels. Even though it is limited by the four levels, the ULCC still has a large margin if compared with the current population numbers. The study suggests that the urban ecological environment will continue to sustain the current population size in the short-term future. However, it is necessary to focus on the protection of distinctive natural landscapes so that decision makers can adjust measures for ecological conditions to carry out the sustainable development of populations, natural resources, and the environment in megacities like Hangzhou, China.

关键词:

ecological sensitivity geographic information system (GIS) remote sensing data urban areas urban land carrying capacity (ULCC)

作者机构:

  • [ 1 ] [Tsou, Jin Yeu]Chinese Univ Hong Kong, Ctr Housing Innovat, Shatin, Hong Kong, Peoples R China
  • [ 2 ] [Gao, Yanfei]Chinese Univ Hong Kong, Ctr Housing Innovat, Shatin, Hong Kong, Peoples R China
  • [ 3 ] [Zhang, Yuanzhi]Chinese Acad Sci, Natl Astron Observ, Beijing 100012, Peoples R China
  • [ 4 ] [Zhang, Yuanzhi]Chinese Acad Sci, Key Lab Lunar Sci & Deep Space Explorat, Beijing 100012, Peoples R China
  • [ 5 ] [Sun, Genyun]China Univ Petr East China, Sch Geosci, Qingdao 266580, Peoples R China
  • [ 6 ] [Ren, Jinchang]Univ Strathclyde, Dept Elect & Elect Engn, Glasgow G1 1XQ, Lanark, Scotland
  • [ 7 ] [Li, Yu]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China

通讯作者信息:

  • [Zhang, Yuanzhi]Chinese Acad Sci, Natl Astron Observ, Beijing 100012, Peoples R China;;[Zhang, Yuanzhi]Chinese Acad Sci, Key Lab Lunar Sci & Deep Space Explorat, Beijing 100012, Peoples R China;;[Li, Yu]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China

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来源 :

REMOTE SENSING

ISSN: 2072-4292

年份: 2017

期: 6

卷: 9

5 . 0 0 0

JCR@2022

ESI学科: GEOSCIENCES;

ESI高被引阀值:89

中科院分区:3

被引次数:

WoS核心集被引频次: 53

SCOPUS被引频次: 54

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 2

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