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首页> 外文期刊>Ecological indicators >Analyzing spatial patterns of urban carbon metabolism and its response to change of urban size: A case of the Yangtze River Delta, China
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Analyzing spatial patterns of urban carbon metabolism and its response to change of urban size: A case of the Yangtze River Delta, China

机译:分析城市碳代谢的空间格局及其对城市规模变化的响应-以中国长江三角洲为例

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摘要

Rapid urbanization with land use and cover change (LUCC) is making a substantially increasing contribution to global carbon emissions. Understanding the spatial processes and transitions mechanism of urban carbon metabolism system by LUCC could help local governments in regional spatial planning. Taking 13 cities in the Yangtze River Delta of China as examples, we quantitatively analyzed and mapped the spatial processes of urban carbon metabolism by LUCC from 1995 to 2015 in the region and investigated the relationships between urban size growth and urban carbon metabolism rate by LUCC (M-LUCC) using panel data regression analysis. A higher M-LUCC showed a larger negative impact on the urban carbon metabolism system by per unit area of land use change. We found that the highest negative carbon transitions were shifted from Shanghai to cities in the South Jiangsu Province. And the dominant negative carbon transitions and positive ones came from land use transfer into and out the industrial land and transportation land. The results of the panel model regression analysis showed the growths of urban population and land both correlated positively with M-LUCC. Further, we controlled the economic growth and urban form changes on the relationship between urban size growth and M-LUCC, and the results suggested both the benefits from compromising economic growth and optimizing urban form were overshadowed by the negative impact of urban size growth. The study provided a robust methodology for assessing urban carbon metabolism and provided new insights into land use controls to develop low carbon cities.
机译:土地使用和覆盖变化(LUCC)的快速城市化正在为全球碳排放做出巨大贡献。 LUCC了解城市碳代谢系统的空间过程和转换机制,可以帮助地方政府进行区域空间规划。以中国长江三角洲的13个城市为例,我们定量分析并绘制了1995-2015年该地区LUCC城市碳代谢的空间过程,并通过LUCC研究了城市规模增长与城市碳代谢率之间的关系( M-LUCC)使用面板数据回归分析。 M-LUCC越高,单位面积土地利用变化对城市碳代谢系统的负面影响越大。我们发现负碳转移最高的国家是从上海转移到苏南省的城市。而主要的负碳过渡和正碳过渡来自土地使用权进出工业用地和交通用地的转移。面板模型回归分析的结果表明,城市人口和土地的增长均与M-LUCC正相关。此外,我们控制了经济增长和城市形态变化对城市规模增长与M-LUCC之间关系的影响,结果表明,损害经济增长和优化城市形态的收益都被城市规模增长的负面影响所掩盖。该研究为评估城市碳代谢提供了一种可靠的方法,并为开发低碳城市的土地利用控制提供了新见解。

著录项

  • 来源
    《Ecological indicators》 |2019年第9期|615-625|共11页
  • 作者单位

    Zhejiang Univ, Sch Publ Affairs, Inst Land Sci & Property, Hangzhou 310058, Zhejiang, Peoples R China|Minist Land & Resources, Lab Rural Urban Construct Land Econ & Intens Use, Beijing 100812, Peoples R China;

    Zhejiang Univ, Sch Publ Affairs, Inst Land Sci & Property, Hangzhou 310058, Zhejiang, Peoples R China|Minist Land & Resources, Lab Rural Urban Construct Land Econ & Intens Use, Beijing 100812, Peoples R China;

    Australian Natl Univ, Fenner Sch Environm & Soc, Canberra, ACT, Australia;

    Zhejiang Univ, Coll Civil Engn & Architecture, Dept Reg & Urban Planning, Hangzhou 310058, Zhejiang, Peoples R China;

    Zhejiang Univ, Sch Publ Affairs, Inst Land Sci & Property, Hangzhou 310058, Zhejiang, Peoples R China|Minist Land & Resources, Lab Rural Urban Construct Land Econ & Intens Use, Beijing 100812, Peoples R China;

    Zhejiang Univ, Coll Environm & Resource Sci, Inst Agr Remote Sensing & Informat Technol Applic, Hangzhou 310058, Zhejiang, Peoples R China;

    Xi An Jiao Tong Univ, Dept Publ Adm, Sch Publ Policy & Adm, Xian 710049, Shaanxi, Peoples R China;

    Zhejiang Univ, Sch Publ Affairs, Inst Land Sci & Property, Hangzhou 310058, Zhejiang, Peoples R China|Minist Land & Resources, Lab Rural Urban Construct Land Econ & Intens Use, Beijing 100812, Peoples R China;

    China Univ Min & Technol, Jiangsu Key Lab Resources & Environm Informat Eng, Xuzhou 221116, Jiangsu, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    LUCC; Urban carbon metabolism; Spatial processes; Urban size growth; The Yangtze River Delta; Low carbon cities;

    机译:LUCC;城市碳代谢;空间过程;城市规模增长;长三角;低碳城市;

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