High-Resolution Mapping of the Urban Built Environment Stocks in Beijing.


Journal

Environmental science & technology
ISSN: 1520-5851
Titre abrégé: Environ Sci Technol
Pays: United States
ID NLM: 0213155

Informations de publication

Date de publication:
05 05 2020
Historique:
pubmed: 11 4 2020
medline: 16 7 2020
entrez: 11 4 2020
Statut: ppublish

Résumé

Improving our comprehension of the weight and spatial distribution of urban built environment stocks is essential for informing urban resource, waste, and environmental management, but this is often hampered by inaccuracy and inconsistency of the typology and material composition data of buildings and infrastructure. Here, we have integrated big data mining and analytics techniques and compiled a local material composition database to address these gaps, for a detailed characterization of the quantity, quality, and spatial distribution (in 500 m × 500 m grids) of the urban built environment stocks in Beijing in 2018. We found that 3621 megatons (140 ton/cap) of construction materials were accumulated in Beijing's buildings and infrastructure, equaling to 1141 Mt of embodied greenhouse gas emissions. Buildings contribute the most (63% of total, roughly half in residential and half in nonresidential) to the total stock and the subsurface stocks account for almost half. Spatially, the belts between 3 and 7 km from city center (approximately 5 t/m

Identifiants

pubmed: 32275823
doi: 10.1021/acs.est.9b07229
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

5345-5355

Auteurs

Ruichang Mao (R)

SDU Life Cycle Engineering, Department of Chemical Engineering, Biotechnology, and Environmental Technology, University of Southern Denmark, 5230 Odense, Denmark.

Yi Bao (Y)

Institute of Remote Sensing and Geographical Information Systems, Peking University, Beijing, China.
Beijing Key Lab of Spatial Information Integration & Its Applications, Peking University, Beijing, China.

Zhou Huang (Z)

Institute of Remote Sensing and Geographical Information Systems, Peking University, Beijing, China.
Beijing Key Lab of Spatial Information Integration & Its Applications, Peking University, Beijing, China.

Qiance Liu (Q)

Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101 Beijing, China.

Gang Liu (G)

SDU Life Cycle Engineering, Department of Chemical Engineering, Biotechnology, and Environmental Technology, University of Southern Denmark, 5230 Odense, Denmark.
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101 Beijing, China.

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