Greening in Rural Areas Increases the Surface Urban Heat Island Intensity

被引:195
作者
Yao, Rui [1 ]
Wang, Lunche [1 ]
Huang, Xin [2 ,3 ]
Gong, Wei [2 ]
Xia, Xiangao [4 ]
机构
[1] China Univ Geosci, Sch Earth Sci, Hubei Key Lab Crit Zone Evolut, Wuhan, Hubei, Peoples R China
[2] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan, Hubei, Peoples R China
[3] Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan, Hubei, Peoples R China
[4] Chinese Acad Sci, Inst Atmospher Phys, Key Lab Middle Atmosphere & Global Environm Obser, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
TEMPORAL TRENDS; CLIMATE; FOOTPRINT; CITIES; DETERMINANTS; TEMPERATURE; CHINA;
D O I
10.1029/2018GL081816
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
In this study, Moderate Resolution Imaging Spectroradiometer land cover, land surface temperature (LST), and enhanced vegetation index (EVI) data were used to investigate the trends of surface urban heat island intensity (SUHII, urban LST minus rural LST) and their relations with vegetation in 397 global big cities during 2001-2017. Major findings include the following: (1) Annual daytime and nighttime SUHII increased significantly (p < 0.05, Mann-Kendall trend test) in 42.1% and 30.5% cities, respectively. (2) The daytime SUHII in the growing season was significantly and positively correlated with rural EVI in 58.9% cities. This is because high rural EVI can increase the EVI difference between urban and rural areas. (3) Rural greening contributed 22.5% of the increased daytime SUHII in the growing season at the global scale. This study highlights that the effect of greening in rural areas was a significant and widespread driver for the increased daytime SUHII. Plain Language Summary Surface urban heat island (SUHI) refers to higher land surface temperature (LST) in urban than in rural areas. The increased SUHI intensity (urban LST minus rural) was mainly attributed to increased anthropogenic heat emission and built-up areas and reductions in vegetation in urban areas in the literature. However, this study showed that the increased vegetation (i.e., greening) in rural areas was a significant and widespread driver for the increased daytime SUHI intensity around the world during 2001-2017. The implication of this study is that urban LST may increase much faster than rural LST in future global warming.
引用
收藏
页码:2204 / 2212
页数:9
相关论文
共 42 条
[1]  
[Anonymous], 1975, J. Econ
[2]   Trends of urban surface temperature and heat island characteristics in the Mediterranean [J].
Benas, Nikolaos ;
Chrysoulakis, Nektarios ;
Cartalis, Constantinos .
THEORETICAL AND APPLIED CLIMATOLOGY, 2017, 130 (3-4) :807-816
[3]   Impacts of future urban expansion on summer climate and heat-related human health in eastern China [J].
Cao, Qian ;
Yu, Deyong ;
Georgescu, Matei ;
Wu, Jianguo ;
Wang, Wei .
ENVIRONMENT INTERNATIONAL, 2018, 112 :134-146
[4]   A simplified urban-extent algorithm to characterize surface urban heat islands on a global scale and examine vegetation control on their spatiotemporal variability [J].
Chakraborty, T. ;
Lee, X. .
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2019, 74 :269-280
[5]   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
[6]   Determination of annual and seasonal daytime and nighttime trends of MODIS LST over Greece - climate change implications [J].
Eleftheriou, Dimitrios ;
Kiachidis, Kyriakos ;
Kalmintzis, Georgios ;
Kalea, Argiro ;
Bantasis, Christos ;
Koumadoraki, Paraskevi ;
Spathara, Maria Eleni ;
Tsolaki, Angeliki ;
Tzampazidou, Maria Irini ;
Gemitzi, Alexandra .
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 616 :937-947
[7]   Global change and the ecology of cities [J].
Grimm, Nancy B. ;
Faeth, Stanley H. ;
Golubiewski, Nancy E. ;
Redman, Charles L. ;
Wu, Jianguo ;
Bai, Xuemei ;
Briggs, John M. .
SCIENCE, 2008, 319 (5864) :756-760
[8]   Overview of the radiometric and biophysical performance of the MODIS vegetation indices [J].
Huete, A ;
Didan, K ;
Miura, T ;
Rodriguez, EP ;
Gao, X ;
Ferreira, LG .
REMOTE SENSING OF ENVIRONMENT, 2002, 83 (1-2) :195-213
[9]   Remote sensing of the urban heat island effect across biomes in the continental USA [J].
Imhoff, Marc L. ;
Zhang, Ping ;
Wolfe, Robert E. ;
Bounoua, Lahouari .
REMOTE SENSING OF ENVIRONMENT, 2010, 114 (03) :504-513
[10]   A new method to quantify surface urban heat island intensity [J].
Li, Huidong ;
Zhou, Yuyu ;
Li, Xiaoma ;
Meng, Lin ;
Wang, Xun ;
Wu, Sha ;
Sodoudi, Sahar .
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 624 :262-272