Exploring diurnal cycles of surface urban heat island intensity in Boston with land surface temperature data derived from GOES-R geostationary satellites

被引:49
|
作者
Chang, Yue [1 ,2 ]
Xiao, Jingfeng [2 ]
Li, Xuxiang [1 ]
Frolking, Steve [2 ]
Zhou, Decheng [3 ]
Schneider, Annemarie [4 ]
Weng, Qihao [5 ]
Yu, Peng [6 ]
Wang, Xufeng [7 ]
Li, Xing [2 ]
Liu, Shuguang [8 ]
Wu, Yiping [1 ]
机构
[1] Xi An Jiao Tong Univ, Inst Global Environm Change, Sch Human Settlements & Civil Engn, Xian 710049, Shaanxi, Peoples R China
[2] Univ New Hampshire, Earth Syst Res Ctr, Inst Study Earth Oceans & Space, Durham, NH 03824 USA
[3] Nanjing Univ Informat Sci & Technol, Jiangsu Key Lab Agr Meteorol, Nanjing 210044, Peoples R China
[4] Univ Wisconsin, Ctr Sustainabil & Global Environm, Madison, WI 53726 USA
[5] Indiana State Univ, Ctr Urban & Environm Change, Dept Earth & EnvironmentalSyst, Terre Haute, IN 47809 USA
[6] Univ Maryland, Cooperat Inst Satellite Earth Syst Studies, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20740 USA
[7] Chinese Acad Sci, Heihe Remote Sensing Expt Res Stn, Key Lab Remote Sensing Gansu Prov, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Gansu, Peoples R China
[8] Cent South Univ Forestry & Technol, Natl Engn Lab Appl Technol Forestry & Ecol South, Changsha, Peoples R China
关键词
Geostationary Operational Environmental Satellite; LST; SUHI; Diel cycle; MODIS; Thermal remote sensing; SPATIAL-DISTRIBUTION; TEMPORAL TRENDS; COVER DYNAMICS; AREA; CLIMATE; VEGETATION; PHENOLOGY; PATTERNS; IMPACTS; CITIES;
D O I
10.1016/j.scitotenv.2020.144224
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The surface urban heat island (SUHI) is one of the most significant human-induced alterations to the Earth's surface climate and can aggravate health risks for city dwellers during heat waves. Although the SUHI effect has received growing attention, its diurnal cycles (i.e., the variations over the full 24 h within the did cycle) are poorly understood because polar-orbiting satellites (e.g., Landsat Series, Sentinel, Terra, Aqua) only provide one or two observations over each repeat cycle (e.g., 16 days) with constant overpass time for the same area. Geostationary satellites provide high-frequency land surface temperature (LST) observations throughout the day and the night, and thereby offer unprecedented opportunities for exploring the diurnal cycles of SUHL Here we examined how the SUHI intensity varied over the course of the diurnal cycle in the Boston Metropolitan Area using LST observations from the NOAA's latest generation of Geostationary Operational Environmental Satellites (GOES-R). GOES-R LST was strongly correlated with MODIS LST (R-2 = 0.98, p < 0.0001) across urban core, suburban, and rural areas. We calculated the SUHI intensiy at an hourly time step for both the urban core and suburban areas using GOES-R LST data. The maximum SUER intensity for the urban core occurred near noon, and was +3.0 degrees C (12:00), +5.4 degrees C (12:00), +4.9 degrees C (11:00), and +3.7 degrees C (12:00) in winter, spring, summer, and autumn, respectively. The maximum intensity for the suburban area was about 3.0 degrees C lower in spring and summer and 2.0 degrees C lower in autumn and winter than that of the urban-core area. The minimum SUHI intensity occurred at nighttime, and ranged from -1.0 degrees C to +1.0 degrees C. The difference in the nighttime SUHI intensity between urban core and suburban area was insignificant for all seasons except the summer. The SUHI intensity showed similar diurnal variations across the seasons. Throughout the year, the maximum SUHI intensity (+2.7-+ 5.8 degrees C) at the urban core occurred at 11:00-14:00 (local Lime), while the minimum SUHI intensity (0.6-+0.9 degrees C) was commonly observed at 00:00-07:00 and 17:00-23:00. We also found different relationships between SUHI intensity and potential drivers within a diurnal cycle, characterized by the strongest correlation with impervious surface area and population size during the middle of the day, and with tree canopy cover at night. Our research highlights the great potential of the new-generation geostationary satellites in revealing the detailed diurnal variations of SUHI. Our findings have implications for informing urban planning and public health risk management. (C) 2020 Elsevier B.V. All rights reserved.
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页数:14
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