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Article: Estimating multi-temporal anthropogenic heat flux based on the top-down method and temporal downscaling methods in Beijing, China

TitleEstimating multi-temporal anthropogenic heat flux based on the top-down method and temporal downscaling methods in Beijing, China
Authors
KeywordsAnthropogenic heat flux
Buildings
Human metabolism
Temporal pattern
Vehicles
Issue Date2021
Citation
Resources, Conservation and Recycling, 2021, v. 172, article no. 105682 How to Cite?
AbstractAnthropogenic heat is a dominant component in the urban surface energy system and a key to understanding urban thermal environments. The top-down method was widely used to estimate anthropogenic heat flux (AHF) using statistical energy consumption data and proxies. However, there are several limitations. First, the coarse resolutions of current proxies cannot capture the heterogeneous AHF. Besides, the temporal resolution is generally low (annual) in most AHF studies using the top-down method. This study estimated AHFs from three sectors and their monthly and hourly patterns in Beijing, China by developing a new framework. We first used a new proxy of building volume to obtain the AHF from buildings. Then, we estimated the AHF from vehicles and human metabolism using road density and population density, respectively. Finally, the monthly and hourly (workday and non-workday) AHFs were derived using temporal downscaling methods. The results show that the historic buildings in the urban center have a relatively low AHF. Areas with high AHF mainly distribute in the region between the 2nd and 4th ring-road and industrial zones outside the 5th ring-road. The magnitude of AHF varies among months, with the maximum monthly AHF at the district level reaching 68.1 W/m2 in January. AHF in January workdays is significantly higher than that in January non-workdays during 7:00 h to 20:00 h. The estimated AHF in this study can better capture multi-temporal AHF through the top-down method and temporal downscaling methods. The improved AHF data help policymakers design various strategies to improve urban thermal environments under sustainable development goals.
Persistent Identifierhttp://hdl.handle.net/10722/329717
ISSN
2023 Impact Factor: 11.2
2023 SCImago Journal Rankings: 2.770
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLiu, Xue-
dc.contributor.authorYue, Wenze-
dc.contributor.authorZhou, Yuyu-
dc.contributor.authorLiu, Yong-
dc.contributor.authorXiong, Changsheng-
dc.contributor.authorLi, Qi-
dc.date.accessioned2023-08-09T03:34:49Z-
dc.date.available2023-08-09T03:34:49Z-
dc.date.issued2021-
dc.identifier.citationResources, Conservation and Recycling, 2021, v. 172, article no. 105682-
dc.identifier.issn0921-3449-
dc.identifier.urihttp://hdl.handle.net/10722/329717-
dc.description.abstractAnthropogenic heat is a dominant component in the urban surface energy system and a key to understanding urban thermal environments. The top-down method was widely used to estimate anthropogenic heat flux (AHF) using statistical energy consumption data and proxies. However, there are several limitations. First, the coarse resolutions of current proxies cannot capture the heterogeneous AHF. Besides, the temporal resolution is generally low (annual) in most AHF studies using the top-down method. This study estimated AHFs from three sectors and their monthly and hourly patterns in Beijing, China by developing a new framework. We first used a new proxy of building volume to obtain the AHF from buildings. Then, we estimated the AHF from vehicles and human metabolism using road density and population density, respectively. Finally, the monthly and hourly (workday and non-workday) AHFs were derived using temporal downscaling methods. The results show that the historic buildings in the urban center have a relatively low AHF. Areas with high AHF mainly distribute in the region between the 2nd and 4th ring-road and industrial zones outside the 5th ring-road. The magnitude of AHF varies among months, with the maximum monthly AHF at the district level reaching 68.1 W/m2 in January. AHF in January workdays is significantly higher than that in January non-workdays during 7:00 h to 20:00 h. The estimated AHF in this study can better capture multi-temporal AHF through the top-down method and temporal downscaling methods. The improved AHF data help policymakers design various strategies to improve urban thermal environments under sustainable development goals.-
dc.languageeng-
dc.relation.ispartofResources, Conservation and Recycling-
dc.subjectAnthropogenic heat flux-
dc.subjectBuildings-
dc.subjectHuman metabolism-
dc.subjectTemporal pattern-
dc.subjectVehicles-
dc.titleEstimating multi-temporal anthropogenic heat flux based on the top-down method and temporal downscaling methods in Beijing, China-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.resconrec.2021.105682-
dc.identifier.scopuseid_2-s2.0-85107854038-
dc.identifier.volume172-
dc.identifier.spagearticle no. 105682-
dc.identifier.epagearticle no. 105682-
dc.identifier.eissn1879-0658-
dc.identifier.isiWOS:000670700700023-

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