Volume XLII-2/W16
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 75–81, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W16-75-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 75–81, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W16-75-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  17 Sep 2019

17 Sep 2019

SPATIOTEMPORAL ANALYSIS ON CO2 EMISSIONS FROM HOUSEHOLDS IN JAPAN

R. Cong, M. Saito, R. Hirata, and A. Ito R. Cong et al.
  • National Institute for Environmental Studies, Center for Global Environmental Research, 305-8506 Tsukuba, Japan

Keywords: Spatiotemporal analysis, Energy consumption, Population census, Building emissions, Household size, GIS

Abstract. Global warming has become worse and worse as the increasing greenhouse gas (GHG) emissions especially by the main contributor carbon dioxide (CO2). Thus, clarifying the spatiotemporal patterns of CO2 emissions from residential sector is very important for policy makers. To support the GHG mitigation in local area, this study provides a bottom-up framework that could count the monthly residential CO2 emissions at community level, demonstrated for Japan. A map-based population census is utilized to count the monthly and yearly emissions by combining the statistics data on households with detailed emission intensities. The residential emissions from each census area are estimated and mapped by Geographic Information System. Through the analysis, we proposed the solutions on GHG mitigation and reported the spatiotemporal patterns for residential emissions.