Analysis of Urban Thermal Environment Evolution and Mechanisms Based on Multisource Data: A Case Study of Hangzhou, China

被引:2
作者
Li, Kaike [1 ]
Yang, Hongzhe [1 ]
Chen, Qianhu [1 ]
Chen, Tiantian [1 ]
Shen, Rusang [1 ]
机构
[1] Zhejiang Univ Technol, Sch Design & Architecture, Hangzhou 310014, Peoples R China
基金
中国国家自然科学基金;
关键词
China; Hangzhou; Multisource data; Urban heat island; Urban thermal environment; LAND-SURFACE TEMPERATURE; HEAT-ISLAND UHI; WATER MANAGEMENT; USE/LAND COVER; IMPACT; CITY; CONFIGURATION; VEGETATION; MICROCLIMATE; RESOLUTION;
D O I
10.1061/JUPDDM.UPENG-4919
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Urban thermal environment (UTE) deterioration seriously affects the production, life, and health of urban residents. Therefore, identifying the spatial and temporal evolution of the urban environment and exploring the main factors that affect the UTE are increasingly urgent and important. This study uses multisource spatial data to analyze the changes in surface temperature and its spatial and temporal differentiation patterns of Hangzhou, China in 2000, 2010, and 2021. Then, factors that are intimately connected to the alterations in the UTE are identified. Based on this, the contribution and impact of the UTE are calculated. The findings indicate that from 2000 to 2021, Hangzhou's urban heat island area has been continuously expanding, with an increase of 622.74 km2. In 2021, the maximum surface temperature difference reached 6.2 degrees C, where the heat island area in the Xiaoshan and Yuhang Districts exhibited the largest increase. Hangzhou's urban heat island space showed a scattering distribution in the northwest-southeast direction. High-temperature areas are concentrated in regions that are characterized by dense industrial and commercial distribution, which display local concentration and overall dispersion. Low-temperature areas are concentrated around vegetation-covered regions and bodies of water. The natural and social factors contribute to the changes in surface temperature within the study area. The contribution of social factors on surface temperature surpasses that of natural factors. The leading factors are landscape patterns, the natural environment, and construction activities. The combined effects of various factors increase the surface temperature by 0.965 degrees C for each unit increase in the combined factors within the study area.
引用
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页数:11
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共 57 条
[1]   Estimating the effect of park proximity to the central of Melbourne city on Urban Heat Island (UHI) relative to Land Surface Temperature (LST) [J].
Algretawee, Hayder ;
Rayburg, Scott ;
Neave, Melissa .
ECOLOGICAL ENGINEERING, 2019, 138 :374-390
[2]   Spatial and temporal trends of the surface and air heat island over Milan using MODIS data [J].
Anniballe, Roberta ;
Bonafoni, Stefania ;
Pichierri, Manuele .
REMOTE SENSING OF ENVIRONMENT, 2014, 150 :163-171
[3]  
Baidu, 2021, Baidu
[4]   Assessment of Urban Heat Island based on the relationship between land surface temperature and Land Use/Land Cover in Tehran [J].
Bokaie, Mehdi ;
Zarkesh, Mirmasoud Kheirkhah ;
Arasteh, Peyman Daneshkar ;
Hosseini, Ali .
SUSTAINABLE CITIES AND SOCIETY, 2016, 23 :94-104
[5]   Monitoring of urban heat island effect in Beijing combining ASTER and TM data [J].
Cai, Guoyin ;
Du, Mingyi ;
Xue, Yong .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2011, 32 (05) :1213-1232
[6]   The impact of land use - land cover changes due to urbanization on surface microclimate and hydrology: a satellite perspective [J].
Carlson, TN ;
Arthur, ST .
GLOBAL AND PLANETARY CHANGE, 2000, 25 (1-2) :49-65
[7]   "Sponge City" in China-A breakthrough of planning and flood risk management in the urban context [J].
Chan, Faith Ka Shun ;
Griffiths, James A. ;
Higgitt, David ;
Xu, Shuyang ;
Zhu, Fangfang ;
Tang, Yu-Ting ;
Xu, Yuyao ;
Thorne, Colin R. .
LAND USE POLICY, 2018, 76 :772-778
[8]   MODIS detected surface urban heat islands and sinks: Global locations and controls [J].
Clinton, Nicholas ;
Gong, Peng .
REMOTE SENSING OF ENVIRONMENT, 2013, 134 :294-304
[9]   Landscape configuration and urban heat island effects: assessing the relationship between landscape characteristics and land surface temperature in Phoenix, Arizona [J].
Connors, John Patrick ;
Galletti, Christopher S. ;
Chow, Winston T. L. .
LANDSCAPE ECOLOGY, 2013, 28 (02) :271-283
[10]   How factors of land use/land cover, building configuration, and adjacent heat sources and sinks explain Urban Heat Islands in Chicago [J].
Coseo, Paul ;
Larsen, Larissa .
LANDSCAPE AND URBAN PLANNING, 2014, 125 :117-129