Contribution of local climate zones to the thermal environment and energy demand
文献类型:期刊论文
作者 | Yang, Ruxin4; Yang, Jun1,4,5; Wang, Lingen6; Xiao, Xiangming3; Xia, Jianhong2 |
刊名 | FRONTIERS IN PUBLIC HEALTH
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出版日期 | 2022-08-09 |
卷号 | 10页码:10 |
关键词 | urban heat island energy consumption degree-days neural network air temperature inversion |
DOI | 10.3389/fpubh.2022.992050 |
通讯作者 | Yang, Jun(yangjun8@mail.neu.edu.cn) ; Wang, Lingen(wangle@igsnrr.ac.cn) |
英文摘要 | Urban heat islands (UHIs) and their energy consumption are topics of widespread concern. This study used remote sensing images and building and meteorological data as parameters, with reference to Oke's local climate zone (LCZ), to divide urban areas according to the height and density of buildings and land cover types. White analyzing the heat island intensity, the neural network training method was used to obtain temperature data with good temporal as well as spatial resolution. Combining degree-days with the division of LCZs, a more accurate distribution of energy demand can be obtained by different regions. Here, the spatial distribution of buildings in Shenyang, China, and the Law of land surface temperature (LST) and energy consumption of different LCZ types, which are related to building height and density, were obtained. The LST and energy consumption were found to be correlated. The highest heat island intensity, i.e., UHILCZ 4, was 8.17 degrees C. The correlation coefficients of LST with building height and density were -0.16 and 0.24, respectively. The correlation between urban cooling energy demand and building height was -0.17, and the correlation between urban cooling energy demand and building density was 0.17. The results indicate that low- and medium-rise buildings consume more cooling energy. |
WOS关键词 | LAND-SURFACE TEMPERATURE ; PERFORMANCE SIMULATION ; AIR-TEMPERATURE ; NETWORK ; GASES |
资助项目 | National Natural Science Foundation of China[41771178] ; National Natural Science Foundation of China[42030409] ; Fundamental Research Funds for the Central Universities[N2111003] ; Basic Scientific Research Project (Key Project) of the Education Department of Liaoning Province[LJKZ0964] ; Innovative Talents Support Program of Liaoning Province[LR2017017] |
WOS研究方向 | Public, Environmental & Occupational Health |
语种 | 英语 |
WOS记录号 | WOS:000889013500001 |
出版者 | FRONTIERS MEDIA SA |
资助机构 | National Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities ; Basic Scientific Research Project (Key Project) of the Education Department of Liaoning Province ; Innovative Talents Support Program of Liaoning Province |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/187440] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Yang, Jun; Wang, Lingen |
作者单位 | 1.Northeastern Univ, Sch Humanities & Law, Shenyang, Peoples R China 2.Curtin Univ, Sch Earth & Planetary Sci EPS, Perth, WA, Australia 3.Univ Oklahoma, Dept Microbiol & Plant Biol, Ctr Spatial Anal, Norman, OK USA 4.Northeastern Univ, Jangho Architecture Coll, Shenyang, Peoples R China 5.Liaoning Normal Univ, Human Settlements Res Ctr, Dalian, Peoples R China 6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Yang, Ruxin,Yang, Jun,Wang, Lingen,et al. Contribution of local climate zones to the thermal environment and energy demand[J]. FRONTIERS IN PUBLIC HEALTH,2022,10:10. |
APA | Yang, Ruxin,Yang, Jun,Wang, Lingen,Xiao, Xiangming,&Xia, Jianhong.(2022).Contribution of local climate zones to the thermal environment and energy demand.FRONTIERS IN PUBLIC HEALTH,10,10. |
MLA | Yang, Ruxin,et al."Contribution of local climate zones to the thermal environment and energy demand".FRONTIERS IN PUBLIC HEALTH 10(2022):10. |
入库方式: OAI收割
来源:地理科学与资源研究所
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