Regional thermal environments (RTEs) and driving forces in six urban agglomerations of China and America

被引:10
作者
Shen, Zhicheng [1 ,2 ]
Xu, Xinliang [3 ]
Sun, Zaijin [2 ]
Jiang, Yonghai [1 ]
Shi, Huading [2 ]
机构
[1] Chinese Res Inst Environm Sci, State Environm Protect Key Lab Simulat & Control G, Beijing 100012, Peoples R China
[2] Minist Ecol & Environm, Tech Ctr Soil Agr & Rural Ecol & Environm, Beijing 100012, Peoples R China
[3] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
关键词
Urban agglomeration; Thermal landscape; Surface urban heat island intensity; Driving forces; LAND-SURFACE TEMPERATURE; HEAT-ISLAND; RIVER DELTA; UNITED-STATES; URBANIZATION; CLIMATE; YANGTZE; METROPOLIS; HANGZHOU; PATTERNS;
D O I
10.1016/j.buildenv.2023.110185
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
China and America have several large urban agglomerations that are important for global urbanisation, but both face serious regional thermal environment (RTE) problems. This study compares the RTE of six urban agglomerations in China and America in summer in terms of the thermal landscape and surface urban heat island intensity (SUHII) distributions using Terra MODIS land surface temperature (LST) data and analyses the impacts of land development intensity (LDI), the normalised difference vegetation index (NDVI), precipitation, wind speed, and surface albedo on the RTE. The results show that the RTE problem of aggregated high or sub-high LST zones in large areas across city boundaries is widespread in Chinese urban agglomerations. However, the RTE problem of high SUHII values is more obvious in American urban agglomerations. The LDI and LST have a strong spatial correlation that shows a clear upward trend in Chinese urban agglomerations. The oLDI and oNDVI have significant impacts on the SUHII of urban agglomerations in China and America. The impacts of precipitation, wind speed, and albedo on the SUHII vary greatly between China and America. By further examining the spatial structure of the LDI, gross domestic product (GDP), and population in urban agglomerations, this study suggests that constructing a decentralised, multicentre network spatial structure in urban agglomerations, improving urban vegetation coverage and ventilation, and selecting appropriate building materials may be important paths to improving the RTE and promoting the sustainable development of urban agglomerations.
引用
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页数:15
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共 77 条
[1]   Data Descriptor: TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958-2015 [J].
Abatzoglou, John T. ;
Dobrowski, Solomon Z. ;
Parks, Sean A. ;
Hegewisch, Katherine C. .
SCIENTIFIC DATA, 2018, 5
[2]   The size of cities: A synthesis of multi-disciplinary perspectives on the global' megalopolis [J].
Abaya Gomez, Jose Edgardo, Jr. .
PROGRESS IN PLANNING, 2017, 116 :1-29
[3]   Predicting the impacts of land use/land cover changes on seasonal urban thermal characteristics using machine learning algorithms [J].
Abdulla-Al Kafy ;
Saha, Milan ;
Abdullah-Al-Faisal ;
Rahaman, Zullyadini A. ;
Rahman, Muhammad Tauhidur ;
Liu, Desheng ;
Fattah, Md Abdul ;
Al Rakib, Abdullah ;
AlDousari, Ahmad E. ;
Rahaman, Sk Nafiz ;
Hasan, Md Zakaria ;
Ahasan, Md Ahasanul Karim .
BUILDING AND ENVIRONMENT, 2022, 217
[4]   Assessing the Impact of Wind Conditions on Urban Heat Islands in Large Australian Cities [J].
Al-Obaidi, Ilham ;
Rayburg, Scott ;
Polrolniczak, Marek ;
Neave, Melissa .
JOURNAL OF ECOLOGICAL ENGINEERING, 2021, 22 (11) :1-15
[5]   Modelling the impacts of land use/land cover changing pattern on urban thermal characteristics in Kuwait [J].
AlDousari, Ahmad E. ;
Abdulla-Al Kafy ;
Saha, Milan ;
Fattah, Md. Abdul ;
Almulhim, Abdulaziz I. ;
Abdullah-Al-Faisal, Abdullah-Al- ;
Al Rakib, Abdullah ;
Jahir, Dewan Md. Amir ;
Rahaman, Zullyadini A. ;
Bakshi, Arpita ;
Shahrier, Mahir ;
Rahman, Md. Mijanur .
SUSTAINABLE CITIES AND SOCIETY, 2022, 86
[6]   A new perspective for understanding actual anthropogenic heat emissions from buildings [J].
Alhazmi, Mansour ;
Sailor, David J. ;
Anand, Jyothis .
ENERGY AND BUILDINGS, 2022, 258
[7]   GeoDa:: An introduction to spatial data analysis [J].
Anselin, L ;
Syabri, I ;
Kho, Y .
GEOGRAPHICAL ANALYSIS, 2006, 38 (01) :5-22
[8]   Understanding temperature related health risk in context of urban land use changes [J].
Avashia, Vidhee ;
Garg, Amit ;
Dholakia, Hem .
LANDSCAPE AND URBAN PLANNING, 2021, 212
[9]   Estimating the building based energy consumption as an anthropogenic contribution to urban heat islands [J].
Boehme, Peter ;
Berger, Matthias ;
Massier, Tobias .
SUSTAINABLE CITIES AND SOCIETY, 2015, 19 :373-384
[10]   Mapping urbanization in the United States from 2001 to 2011 [J].
Bounoua, Lahouari ;
Nigro, Joseph ;
Zhang, Ping ;
Thome, Kurtis ;
Lachir, Asia .
APPLIED GEOGRAPHY, 2018, 90 :123-133