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Article: Spatiotemporal Variations and Controls on Anthropogenic Heat Fluxes in 12 Selected Cities in the Eastern China

TitleSpatiotemporal Variations and Controls on Anthropogenic Heat Fluxes in 12 Selected Cities in the Eastern China
Authors
Keywordsanthropogenic heat flux (AHF)
Defense Meteorological Program/Operational Linescan System (DMSP/OLS) data
spatiotemporal variations
influencing factors
eastern China
Issue Date2021
PublisherSpringer Verlag. The Journal's web site is located at http://www.springer.com/earth+sciences+and+geography/geography/journal/11769
Citation
Chinese Geographical Science, 2021, v. 31 n. 3, p. 444-458 How to Cite?
AbstractSpatiotemporal variations of anthropogenic heat flux (AHF) is reported to be associated with global warming. However, confined to the low spatial resolution of energy consumption statistical data, details of AHF was not well descripted. To obtain high spatial resolution data of AHF, Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) nighttime light time-series product and Moderate Resolution Imaging Spectroradiometer (MODIS) satellite monthly normalized difference vegetation index (NDVI) product were applied to construct the human settlement index. Based on the spatial regression relationship between human settlement index and energy consumption data. A 1-km resolution dataset of AHF of 12 selected cities in the eastern China was obtained. Ordinary least-squares (OLS) model was applied to detect the mechanism of spatial patterns of AHF. Results showed that industrial emission in selected cities of the eastern China was accountable for 63% of the total emission. AHF emission in megacities, such as Tianjin, Jinan, Qingdao, and Hangzhou, was most significant. AHF increasing speed in most areas in the chosen cities was quite low. High growth or extremely high growth of AHF were located in central downtown areas. In Beijing, Shanghai, Guangzhou, Jinan, Hangzhou, Changzhou, Zhaoqing, and Jiangmen, a single kernel of AHF was observed. Potential influencing factors showed that precipitation, temperature, elevation, normalized different vegetation index, gross domestic product, and urbanization level were positive with AHF. Overall, this investigation implied that urbanization level and economic development level might dominate the increasing of AHF and the spatial heterogeneousness of AHF. Higher urbanization level or economic development level resulted in high increasing speeds of AHF. These findings provide a novel way to reconstruct of AHF and scientific supports for energy management strategy development.
Persistent Identifierhttp://hdl.handle.net/10722/299755
ISSN
2021 Impact Factor: 3.101
2020 SCImago Journal Rankings: 0.671
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorCao, Z-
dc.contributor.authorWen, Y-
dc.contributor.authorSong, S-
dc.contributor.authorHo, HC-
dc.contributor.authorSun, H-
dc.date.accessioned2021-05-26T03:28:36Z-
dc.date.available2021-05-26T03:28:36Z-
dc.date.issued2021-
dc.identifier.citationChinese Geographical Science, 2021, v. 31 n. 3, p. 444-458-
dc.identifier.issn1002-0063-
dc.identifier.urihttp://hdl.handle.net/10722/299755-
dc.description.abstractSpatiotemporal variations of anthropogenic heat flux (AHF) is reported to be associated with global warming. However, confined to the low spatial resolution of energy consumption statistical data, details of AHF was not well descripted. To obtain high spatial resolution data of AHF, Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) nighttime light time-series product and Moderate Resolution Imaging Spectroradiometer (MODIS) satellite monthly normalized difference vegetation index (NDVI) product were applied to construct the human settlement index. Based on the spatial regression relationship between human settlement index and energy consumption data. A 1-km resolution dataset of AHF of 12 selected cities in the eastern China was obtained. Ordinary least-squares (OLS) model was applied to detect the mechanism of spatial patterns of AHF. Results showed that industrial emission in selected cities of the eastern China was accountable for 63% of the total emission. AHF emission in megacities, such as Tianjin, Jinan, Qingdao, and Hangzhou, was most significant. AHF increasing speed in most areas in the chosen cities was quite low. High growth or extremely high growth of AHF were located in central downtown areas. In Beijing, Shanghai, Guangzhou, Jinan, Hangzhou, Changzhou, Zhaoqing, and Jiangmen, a single kernel of AHF was observed. Potential influencing factors showed that precipitation, temperature, elevation, normalized different vegetation index, gross domestic product, and urbanization level were positive with AHF. Overall, this investigation implied that urbanization level and economic development level might dominate the increasing of AHF and the spatial heterogeneousness of AHF. Higher urbanization level or economic development level resulted in high increasing speeds of AHF. These findings provide a novel way to reconstruct of AHF and scientific supports for energy management strategy development.-
dc.languageeng-
dc.publisherSpringer Verlag. The Journal's web site is located at http://www.springer.com/earth+sciences+and+geography/geography/journal/11769-
dc.relation.ispartofChinese Geographical Science-
dc.rightsThis is a post-peer-review, pre-copyedit version of an article published in [insert journal title]. The final authenticated version is available online at: https://doi.org/[insert DOI]-
dc.subjectanthropogenic heat flux (AHF)-
dc.subjectDefense Meteorological Program/Operational Linescan System (DMSP/OLS) data-
dc.subjectspatiotemporal variations-
dc.subjectinfluencing factors-
dc.subjecteastern China-
dc.titleSpatiotemporal Variations and Controls on Anthropogenic Heat Fluxes in 12 Selected Cities in the Eastern China-
dc.typeArticle-
dc.identifier.emailHo, HC: hcho21@hku.hk-
dc.identifier.authorityHo, HC=rp02482-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s11769-021-1203-y-
dc.identifier.scopuseid_2-s2.0-85105573197-
dc.identifier.hkuros322553-
dc.identifier.volume31-
dc.identifier.issue3-
dc.identifier.spage444-
dc.identifier.epage458-
dc.identifier.isiWOS:000648287300005-
dc.publisher.placeChina-

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