Stronger Contributions of Urbanization to Heat Wave Trends in Wet Climates

被引:148
作者
Liao, Weilin [1 ,2 ]
Liu, Xiaoping [1 ]
Li, Dan [2 ]
Luo, Ming [1 ,3 ]
Wang, Dagang [1 ]
Wang, Shaojian [1 ]
Baldwin, Jane [4 ]
Lin, Lijie [5 ]
Li, Xia [6 ]
Feng, Kuishuang [7 ]
Hubacek, Klaus [7 ]
Yang, Xuchao [8 ]
机构
[1] Sun Yat Sen Univ, Sch Geog & Planning, Guangzhou, Guangdong, Peoples R China
[2] Boston Univ, Dept Earth & Environm, Boston, MA 02215 USA
[3] Chinese Univ Hong Kong, Inst Environm Energy & Sustainabil, Hong Kong, Hong Kong, Peoples R China
[4] Princeton Univ, Program Atmospher & Ocean Sci, Princeton, NJ 08544 USA
[5] Guangdong Univ Technol, Sch Management, Guangzhou, Guangdong, Peoples R China
[6] East China Normal Univ, Sch Geog Sci, Minist Educ, Key Lab Geog Informat Sci, Shanghai, Peoples R China
[7] Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA
[8] Zhejiang Univ, Inst Isl & Coastal Ecosyst, Ocean Coll, Zhoushan, Peoples R China
基金
美国国家科学基金会; 中国国家自然科学基金;
关键词
TEMPERATURE; CHINA; URBAN; MORTALITY; EXTREMES; CITIES; VARIABILITY; SCENARIOS; PATTERNS; INCREASE;
D O I
10.1029/2018GL079679
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
It is well known that urban areas are typically hotter than the surrounding (vegetated) rural areas. However, the contribution of urbanization to the trends of extreme temperature events such as heat waves (HWs) is less understood. Using a homogenized meteorological dataset drawn from nearly 2,000 stations in China, we find that urban and rural areas have different HW trends and the urban-rural contrast of HW trends varies across climate regimes. In wet climates, the increasing trends of HWs in urban areas are greater than those in rural areas, suggesting a positive contribution of urbanization to HW trends. In arid regions, the urbanization contribution to HW trends is smaller and even negative. The stronger urbanization contribution to HW trends in wet climates is linked to the smaller variability of urban heat island intensity. This study highlights the important role of local hydroclimate in modulating the urbanization contribution to extreme temperatures. Plain Language Summary Extreme temperature events commonly known as heat waves (HWs) have profound impacts on human health. While it is well known that urban temperatures are usually higher than their rural counterparts (i.e., the urban heat island effect), whether and how the urbanization contribution to HW trends varies across different climate regimes over a large domain remains unclear. In this study, we explore the urban-rural contrast of HW characteristics over mainland China. Our analysis shows that while both urban and rural HWs are becoming more frequent, longer-lasting, and stronger in most parts of China, their trends are different. Interestingly, we find that the local hydroclimate modulates the variability of daily UHI intensity, thus affecting the contribution of urbanization to the frequency and magnitude of HWs. The stronger contrasts between urban and rural HW trends in wet climates are related to the larger increases in UHI intensity, but more importantly, the smaller variability of UHI intensity. As a result, the eastern, wet climate part of China, with the densest population and highest urbanization, will face severe heat risks in the future due to the combined effects of urbanization and global climate change.
引用
收藏
页码:11310 / 11317
页数:8
相关论文
共 33 条
[1]   Heat Waves in the United States: Mortality Risk during Heat Waves and Effect Modification by Heat Wave Characteristics in 43 U.S. Communities [J].
Anderson, G. Brooke ;
Bell, Michelle L. .
ENVIRONMENTAL HEALTH PERSPECTIVES, 2011, 119 (02) :210-218
[2]  
[Anonymous], 2013, Summary Report
[3]   Revisiting summertime hot extremes in China during 1961-2015: Overlooked compound extremes and significant changes [J].
Chen, Yang ;
Zhai, Panmao .
GEOPHYSICAL RESEARCH LETTERS, 2017, 44 (10) :5096-5103
[4]   Climate extremes: Observations, modeling, and impacts [J].
Easterling, DR ;
Meehl, GA ;
Parmesan, C ;
Changnon, SA ;
Karl, TR ;
Mearns, LO .
SCIENCE, 2000, 289 (5487) :2068-2074
[5]   A modeling study of the sensitivity of urban heat islands to precipitation at climate scales [J].
Gu, Yaofeng ;
Li, Dan .
URBAN CLIMATE, 2018, 24 :982-993
[6]   The effect of heat waves on mental health in a temperate Australian city [J].
Hansen, Alana ;
Bi, Peng ;
Nitschke, Monika ;
Ryan, Philip ;
Pisaniello, Dino ;
Tucker, Graeme .
ENVIRONMENTAL HEALTH PERSPECTIVES, 2008, 116 (10) :1369-1375
[7]   Projecting Future Heat-Related Mortality under Climate Change Scenarios: A Systematic Review [J].
Huang, Cunrui ;
Barnett, Adrian Gerard ;
Wang, Xiaoming ;
Vaneckova, Pavia ;
FitzGerald, Gerard ;
Tong, Shilu .
ENVIRONMENTAL HEALTH PERSPECTIVES, 2011, 119 (12) :1681-1690
[8]   Model Simulation and Projection of European Heat Waves in Present-Day and Future Climates [J].
Lau, Ngar-Cheung ;
Nath, Mary Jo .
JOURNAL OF CLIMATE, 2014, 27 (10) :3713-3730
[9]   Synergistic Interactions between Urban Heat Islands and Heat Waves: The Impact in Cities Is Larger than the Sum of Its Parts* [J].
Li, Dan ;
Bou-Zeid, Elie .
JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2013, 52 (09) :2051-2064
[10]   Estimated influence of urbanization on surface warming in Eastern China using time-varying land use data [J].
Liao, Weilin ;
Wang, Dagang ;
Liu, Xiaoping ;
Wang, Guiling ;
Zhang, Jinbao .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2017, 37 (07) :3197-3208