Next Article in Journal
Effect of Mix Constituents and Curing Conditions on Compressive Strength of Sustainable Self-Consolidating Concrete
Previous Article in Journal
Translating Sustainable Development Goal (SDG) Interdependencies into Policy Advice
Article

Disaggregation Method of Carbon Emission: A Case Study in Wuhan, China

1
Wuhan Geomatics Institute, Wuhan 430022, China
2
Wuhan University, Wuhan 430079, China
*
Author to whom correspondence should be addressed.
Sustainability 2019, 11(7), 2093; https://doi.org/10.3390/su11072093
Received: 1 March 2019 / Revised: 4 April 2019 / Accepted: 4 April 2019 / Published: 8 April 2019
Urban areas contribute significant carbon emissions. Evaluating and analysing the spatial distribution of carbon emissions are the foundations of low-carbon city development and carbon emissions reduction. In this study, carbon emission inventory was first constructed and carbon emissions in Wuhan were estimated on the basis of energy consumption. Second, the spatial distribution models of carbon emissions in different sectors were developed on the basis of the census of the Wuhan geographical conditions data and other thematic data. Third, the carbon emission distribution in Wuhan was analyzed at the central urban, functional, new urban, built-up, and metropolitan development area scale. Results show that the industry sector emits most of the carbon emissions in Wuhan, followed by the residential population. Carbon emissions in the metropolitan development area can stand for the true carbon emissions in Wuhan. Thus, a geographically weighted (GW) model was adopted to analyze the correlation coefficients between economical-social factors (gross domestic product, population density, road density, industrial land and residential land) and carbon emissions in the metropolitan development area. Comparisons with other studies show that the disaggregation method we proposed in this work, especially the adoption of geographical condition census data, can reflect the spatial distribution of carbon emissions of different sectors at the city scale. View Full-Text
Keywords: estimation of carbon emissions; spatial analysis; Census of Geographical Conditions Data; disaggregation models; carbon emissions in different sectors estimation of carbon emissions; spatial analysis; Census of Geographical Conditions Data; disaggregation models; carbon emissions in different sectors
Show Figures

Graphical abstract

MDPI and ACS Style

Luo, M.; Qin, S.; Chang, H.; Zhang, A. Disaggregation Method of Carbon Emission: A Case Study in Wuhan, China. Sustainability 2019, 11, 2093. https://doi.org/10.3390/su11072093

AMA Style

Luo M, Qin S, Chang H, Zhang A. Disaggregation Method of Carbon Emission: A Case Study in Wuhan, China. Sustainability. 2019; 11(7):2093. https://doi.org/10.3390/su11072093

Chicago/Turabian Style

Luo, Minghai, Sixian Qin, Haoxue Chang, and Anqi Zhang. 2019. "Disaggregation Method of Carbon Emission: A Case Study in Wuhan, China" Sustainability 11, no. 7: 2093. https://doi.org/10.3390/su11072093

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop