OMI satellite observations of decadal changes in ground-level sulfur dioxide over North America
被引:36
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作者:
Kharol, Shailesh K.
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Environm & Climate Change Canada, Air Qual Res Div, Toronto, ON M3H 5T4, CanadaEnvironm & Climate Change Canada, Air Qual Res Div, Toronto, ON M3H 5T4, Canada
Kharol, Shailesh K.
[1
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McLinden, Chris A.
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Environm & Climate Change Canada, Air Qual Res Div, Toronto, ON M3H 5T4, CanadaEnvironm & Climate Change Canada, Air Qual Res Div, Toronto, ON M3H 5T4, Canada
McLinden, Chris A.
[1
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Sioris, Christopher E.
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Environm & Climate Change Canada, Air Qual Res Div, Toronto, ON M3H 5T4, CanadaEnvironm & Climate Change Canada, Air Qual Res Div, Toronto, ON M3H 5T4, Canada
Sioris, Christopher E.
[1
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Shephard, Mark W.
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Environm & Climate Change Canada, Air Qual Res Div, Toronto, ON M3H 5T4, CanadaEnvironm & Climate Change Canada, Air Qual Res Div, Toronto, ON M3H 5T4, Canada
Shephard, Mark W.
[1
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Fioletov, Vitali
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Environm & Climate Change Canada, Air Qual Res Div, Toronto, ON M3H 5T4, CanadaEnvironm & Climate Change Canada, Air Qual Res Div, Toronto, ON M3H 5T4, Canada
Fioletov, Vitali
[1
]
van Donkelaar, Aaron
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机构:
Dalhousie Univ, Dept Phys & Atmospher Sci, Halifax, NS, CanadaEnvironm & Climate Change Canada, Air Qual Res Div, Toronto, ON M3H 5T4, Canada
van Donkelaar, Aaron
[2
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Philip, Sajeev
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机构:
Dalhousie Univ, Dept Phys & Atmospher Sci, Halifax, NS, Canada
NASA, Ames Res Ctr, Moffett Field, CA 94035 USAEnvironm & Climate Change Canada, Air Qual Res Div, Toronto, ON M3H 5T4, Canada
Philip, Sajeev
[2
,4
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Martin, Randall V.
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机构:
Dalhousie Univ, Dept Phys & Atmospher Sci, Halifax, NS, Canada
Harvard Smithsonian Ctr Astrophys, 60 Garden St, Cambridge, MA 02138 USAEnvironm & Climate Change Canada, Air Qual Res Div, Toronto, ON M3H 5T4, Canada
Martin, Randall V.
[2
,3
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机构:
[1] Environm & Climate Change Canada, Air Qual Res Div, Toronto, ON M3H 5T4, Canada
FINE PARTICULATE MATTER;
CANADIAN OIL SANDS;
AIR-QUALITY;
SO2;
MORTALITY;
POLLUTION;
MODEL;
NO2;
RETRIEVAL;
ALGORITHM;
D O I:
10.5194/acp-17-5921-2017
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
Sulfur dioxide (SO2) has a significant impact on the environment and human health. We estimated ground-level sulfur dioxide (SO2) concentrations from the Ozone Monitoring Instrument (OMI) using SO2 profiles from the Global Environmental Multi-scale - Modelling Air quality and CHemistry (GEM-MACH) model over North America for the period of 2005-2015. OMI-derived ground-level SO2 concentrations (r = 0.61) and trends (r = 0.74) correlated well with coincident in situ measurements from air quality networks over North America. We found a strong decreasing trend in coincidently sampled ground-level SO2 from OMI (-81 +/- 19 %) and in situ measurements (-86 +/- 13 %) over the eastern US for the period of 2005-2015, which reflects the implementation of stricter pollution control laws, including flue-gas desulfurization (FGD) devices in power plants. The spatially and temporally contiguous OMI-derived ground-level SO2 concentrations can be used to assess the impact of long-term exposure to SO2 on the health of humans and the environment.
机构:
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Univ Chinese Acad Sci, Beijing 100049, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Gu, Jianbin
Chen, Liangfu
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机构:
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Chen, Liangfu
Yu, Chao
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h-index: 0
机构:
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Tsinghua Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Con, Beijing 100101, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Yu, Chao
Li, Shenshen
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Li, Shenshen
Tao, Jinhua
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机构:
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Tao, Jinhua
Fan, Meng
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机构:
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Fan, Meng
Xiong, Xiaozhen
论文数: 0引用数: 0
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机构:
NOAA, NESDIS, Ctr Satellite Applicat & Res, College Pk, MD 20740 USAChinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Xiong, Xiaozhen
Wang, Zifeng
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Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Wang, Zifeng
Shang, Huazhe
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Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Shang, Huazhe
Su, Lin
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Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
机构:
Penn State Univ, Dept Geog, Inst Computat & Data Sci, University Pk, PA 16802 USAPenn State Univ, Dept Geog, Inst Computat & Data Sci, University Pk, PA 16802 USA
Yu, Manzhu
Liu, Qian
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机构:
Georgia State Univ, Dept Geog & GeoInformat Sci, NSF Spatiotemporal Innovat Ctr, Atlanta, GA 30303 USAPenn State Univ, Dept Geog, Inst Computat & Data Sci, University Pk, PA 16802 USA