Journal of Geo-information Science, Volume. 22, Issue 5, 1063(2020)

Computation of Carbon Emissions of Residential Buildings in Wuhan and Its Spatiotemporal Analysis

Tao JIA1,1, Shihao YANG1,1, Xin LI2,2、*, Penggao YAN1,1, Xuesong YU1,1, Xi LUO1,1, and Kai CHEN1,1
Author Affiliations
  • 1.武汉大学遥感信息工程学院,武汉430072
  • 1School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430072, China
  • 2.厦门大学建筑与土木工程学院,厦门361005
  • 2School of architecture and civil engineering, Xiamen University, Xiamen 361005, China
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    Figures & Tables(9)
    Study area and data of Wuhan in 2015
    The technical flow chart of our method
    Carbon emission at the urban block level in Wuhan
    Classification of residential buildings
    Correlation between observed carbon emissions and predicted carbon emissions
    Spatial distribution map of carbon emissions from residential buildings in Wuhan
    Spatial distribution of carbon emissions for selected residential buildings
    • Table 1. Statistics of residential buildings in each class

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      Table 1. Statistics of residential buildings in each class

      建筑物类值建筑面积和/km2建筑物数量/个平均楼层数目/层平均基底面积/m2平均建筑面积/m2
      1130.01 845 285235.870.3
      212.3800611149.61531.4
      314.1638517139.62370.0
      429.8748129136.13987.0
      53.960045142.06430.0
    • Table 2. Parameters of our model

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      Table 2. Parameters of our model

      参数参数参数参数参数
      k1-18.8b1-0.5c169.5w213.0w54.3
      k215.6b21.5c2-19.6w36.5
      k311.2b32.5w153.0w412.5
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    Tao JIA, Shihao YANG, Xin LI, Penggao YAN, Xuesong YU, Xi LUO, Kai CHEN. Computation of Carbon Emissions of Residential Buildings in Wuhan and Its Spatiotemporal Analysis[J]. Journal of Geo-information Science, 2020, 22(5): 1063

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    Paper Information

    Received: Nov. 29, 2019

    Accepted: --

    Published Online: Nov. 12, 2020

    The Author Email: Xin LI (li-xin@whu.edu.cn)

    DOI:10.12082/dqxxkx.2020.190727

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