Estimated influence of urbanization on surface warming in Eastern China using time-varying land use data

被引:65
作者
Liao, Weilin [1 ,2 ]
Wang, Dagang [1 ,2 ,3 ,4 ]
Liu, Xiaoping [1 ,2 ]
Wang, Guiling [5 ]
Zhang, Jinbao [1 ,2 ]
机构
[1] Sun Yat Sen Univ, Sch Geog & Planning, 135 Xingang West Rd, Guangzhou 510275, Guangdong, Peoples R China
[2] Sun Yat Sen Univ, Guangdong Key Lab Urbanizat & Geosimulat, Guangzhou, Guangdong, Peoples R China
[3] Sun Yat Sen Univ, Dept Water Resources & Environm, Guangzhou, Guangdong, Peoples R China
[4] Sun Yat Sen Univ, Key Lab Water Cycle & Water Secur Southern China, Guangdong High Educ Inst, Guangzhou, Guangdong, Peoples R China
[5] Univ Connecticut, Dept Civil & Environm Engn, Storrs, CT USA
基金
中国国家自然科学基金;
关键词
urbanization; temperature; surface warming; UHI; land use; Eastern China; URBAN HEAT-ISLAND; TEMPERATURE TRENDS; AIR-TEMPERATURE; IMPACT; CLIMATE; PATTERNS; CITIES;
D O I
10.1002/joc.4908
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
We examine the urban effect on surface warming in Eastern China, where a substantial portion of the land area has undergone rapid urbanization in the last few decades. Daily surface air temperature records during the period 1971-2010 at 277 meteorological stations are used to investigate temperature changes. Owing to urban expansion, some of the stations formerly located in rural areas are becoming increasingly influenced by urban environments. To estimate the effect of this urbanization on observed surface warming, the stations are dynamically classified into urban and rural types based on the land use data for four periods, i.e. 1980, 1990, 2000 and 2010. After eliminating the temperature trend bias induced by time-varying latitudinal distributions of urban and rural stations, the estimated urban-induced trends in the daily minimum and mean temperature are 0.167 and 0.085 degrees C cade(-1), accounting for 33.6 and 22.4% of total surface warming, respectively. The temperature difference between urban and rural stations indicates that urban heat island intensity has dramatically increased owing to rapid urbanization, and is highly correlated with the difference in fractional coverage of artificial surfaces between these two types of stations. This study highlights the importance of dynamic station classification in estimating the contribution of urbanization to long-term surface warming over large areas.
引用
收藏
页码:3197 / 3208
页数:12
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