| DOI: | 10.1016/j.atmosenv.2016.11.040
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| Scopus记录号: | 2-s2.0-85003456389
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| 论文题名: | Global anthropogenic heat flux database with high spatial resolution |
| 作者: | Dong Y; , Varquez A; C; G; , Kanda M
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| 刊名: | Atmospheric Environment
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| ISSN: | 0168-2563
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| EISSN: | 1573-515X
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| 出版年: | 2017
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| 卷: | 150 | | 起始页码: | 276
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| 结束页码: | 294
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| 语种: | 英语
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| 英文关键词: | Anthropogenic heat emission
; Energy consumption
; Global database
; Nighttime lights
; Urban climate
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| Scopus关键词: | Database systems
; Energy utilization
; Image resolution
; Industrial emissions
; Metabolism
; Anthropogenic heat
; Anthropogenic heat flux
; Global database
; Gross domestic products
; High spatial resolution
; Night-time lights
; Primary energy consumption
; Urban climates
; Heat flux
; anthropogenic effect
; database
; emission
; energy use
; global change
; Gross Domestic Product
; heat flux
; industrial emission
; spatial resolution
; top-down approach
; urban area
; urban climate
; air temperature
; Article
; circadian rhythm
; city
; consumer
; data base
; energy consumption
; gross national product
; heat
; heat loss
; heating
; latitude
; light
; population density
; priority journal
; seasonal variation
; spatial analysis
; traffic and transport
; urban area
; validity
; Japan
; United States
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| Scopus学科分类: | Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
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| 英文摘要: | This study developed a top-down method for estimating global anthropogenic heat emission (AHE), with a high spatial resolution of 30 arc-seconds and temporal resolution of 1 h. Annual average AHE was derived from human metabolic heating and primary energy consumption, which was further divided into three components based on consumer sector. The first and second components were heat loss and heat emissions from industrial sectors equally distributed throughout the country and populated areas, respectively. The third component comprised the sum of emissions from commercial, residential, and transportation sectors (CRT). Bulk AHE from the CRT was proportionally distributed using a global population dataset, with a radiance-calibrated nighttime lights adjustment. An empirical function to estimate monthly fluctuations of AHE based on gridded monthly temperatures was derived from various Japanese and American city measurements. Finally, an AHE database with a global coverage was constructed for the year 2013. Comparisons between our proposed AHE and other existing datasets revealed that the problem of overestimation of AHE intensity in previous top-down models was mitigated by the separation of energy consumption sectors; furthermore, the problem of AHE underestimation at central urban areas was solved by the nighttime lights adjustment. A strong agreement in the monthly profiles of AHE between our database and other bottom-up datasets further proved the validity of the current methodology. Investigations of AHE for the 29 largest urban agglomerations globally highlighted that the share of heat emissions from CRT sectors to the total AHE at the city level was 40–95%; whereas that of metabolic heating varied with the city's level of development by a range of 2–60%. A negative correlation between gross domestic product (GDP) and the share of metabolic heating to a city's total AHE was found. Globally, peak AHE values were found to occur between December and February, while the lowest values were found around June to August. The northern mid-latitudes contributed most to the global AHE. © 2016 The Authors |
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| 资源类型: | 期刊论文
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/82254
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| Appears in Collections: | 气候变化事实与影响
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作者单位: | Tokyo Institute of Technology, Tokyo, Japan
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| Recommended Citation: | |
Dong Y,, Varquez A,C,et al. Global anthropogenic heat flux database with high spatial resolution[J]. Atmospheric Environment,2017-01-01,150
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