4.7 Article

Spatial apportionment of urban greenhouse gas emission inventory and its implications for urban planning: A case study of Xiamen, China

期刊

ECOLOGICAL INDICATORS
卷 85, 期 -, 页码 644-656

出版社

ELSEVIER
DOI: 10.1016/j.ecolind.2017.10.058

关键词

Spatial apportionment; Greenhouse gas emission inventory; Land-use classification; Low-carbon urban planning

资金

  1. National Natural Science Foundation of China [41201155, 41201598, 41371540, 41671444, 41771570, 41771573]
  2. Natural Science Foundation of Fujian Province [2015J05086, 2015J01168]

向作者/读者索取更多资源

Cities have become a major source of greenhouse gas (GHG) emissions and controlling urban GHG emissions is a critical response to global climate change. Many previous studies on urban GHG emissions focused on inventories, changes and impact factors but few investigated the distribution of spatial sources within a city. Although inventories of a city can give information of GHG emissions from different sectors, urban government and planners need to know where emissions occur and how (or why) they occur where they do. It is thus important to spatially apportion GHG emission within a city for the practical application of GHG emission management and policies. In this study, we develop a framework for the spatial apportionment of urban GHG emissions. Xiamen is taken as a typical rapidly urbanizing city in China to demonstrate the framework of spatial apportionment. Results show that the ranking of GHG emission intensity for different land-use types of the city is manufacturing, mining, warehouse land, service industry land, transportation land, residential land and agriculture land with a ratio of 89:54:23:14:1. The vast majority of land for GHG sequestration was located in the peripheral area of the city and most land-use types in the central region of Xiamen had high GHG emissions. The implication for low-carbon urban planning is then discussed in terms of structure and connection strategies. Integrated with socioeconomic factors and urban land-use distribution, the spatial apportionment of GHG emission inventory can provide a more accurate analysis of emission sources and better management of emission sources through urban planning.

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