Estimating ground-level PM2.5 in china using satellite remote sensing

Environmental Science and Technology

Volumn 48, Issue 13, 2014, Pages 7436-7444

  Ma, Zongwei ^a,b   Hu, Xuefei ^b   Huang, Lei ^a   Bi, Jun ^a   Liu, Yang ^b  

^a NANJING UNIVERSITY   (China)

^b EMORY UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC AEROSOLS; LAND USE;

AEROSOL OPTICAL DEPTHS; GEOGRAPHICALLY WEIGHTED REGRESSION MODELS; METEOROLOGICAL FIELDS; MONITORING NETWORK; NATIONAL AMBIENT AIR QUALITY STANDARDS; SATELLITE REMOTE SENSING; STATISTICAL MODELING; TEMPORAL CHARACTERISTICS;

SATELLITES;

AEROSOL COMPOSITION; AIR QUALITY; ATMOSPHERIC POLLUTION; GROUND-BASED MEASUREMENT; OPTICAL DEPTH; PARTICLE SIZE; PARTICULATE MATTER; POLLUTION EXPOSURE; REMOTE SENSING; SPATIOTEMPORAL ANALYSIS;

AIR QUALITY; AMBIENT AIR; ARTICLE; CHINA; CHINESE; ENVIRONMENTAL MONITORING; GEOGRAPHIC DISTRIBUTION; LAND USE; PARTICLE SIZE; PARTICULATE MATTER; REMOTE SENSING;

CHINA; NORTH AMERICA;

AEROSOLS; CALIBRATION; CHINA; ENVIRONMENTAL MONITORING; GEOGRAPHY; MODELS, STATISTICAL; MODELS, THEORETICAL; OPTICAL PHENOMENA; PARTICULATE MATTER; REMOTE SENSING TECHNOLOGY; REPRODUCIBILITY OF RESULTS; SATELLITE COMMUNICATIONS; SEASONS;

EID: 84903745137     PISSN: 0013936X     EISSN: 15205851     Source Type: Journal    
DOI: 10.1021/es5009399     Document Type: Article

References (52)

1. Pope, C. A.; Burnett, R. T.; Thun, M. J.; Calle, E. E.; Krewski, D.; Ito, K.; Thurston, G. D. Lung cancer, cardiopulmonary mortality, and long-term exposure to fine particulate air pollution JAMA, J. Am. Med. Assoc. 2002, 287 (9) 1132-1141 (Pubitemid 34252082)
2. Dominici, F.; Peng, R. D.; Bell, M. L.; Pham, L.; McDermott, A.; Zeger, S. L.; Samet, J. M. Fine particulate air pollution and hospital admission for cardiovascular and respiratory diseases JAMA, J. Am. Med. Assoc. 2006, 295 (10) 1127-1134 (Pubitemid 43352341)
3. 2.5 monitoring and mitigation in the cities of China Environ. Sci. Technol. 2012, 46 (7) 3627-3628
4. 2.5 limit and a change in priorities Environ. Sci. Technol. 2012, 46 (13) 7069-7070
5. Chen, R.; Zhao, Z.; Kan, H. Heavy smog and hospital visits in Beijing, China Am. J. Respir. Crit. Care Med. 2013, 188 (9) 1170-1171
6. 2.5 in Xian, a Central City in China Am. J. Epidemiol. 2012, 175 (6) 556-566
7. 2.5 in urban Guangzhou Environ. Protect. Sci. 2010, 36 (3) 7-11 (in Chinese with English abstract)
8. 2.5 in Nanjing Area Environ. Sci. Manage. 2009, 34 (9) 29-34 (in Chinese with English abstract)
9. Hoff, R. M.; Christopher, S. A. Remote sensing of particulate pollution from space: Have we reached the promised land? J. Air Waste Manage. Assoc. 2009, 59 (6) 645-675
10. Remer, L. A.; Kaufman, Y.; Tanré, D.; Mattoo, S.; Chu, D.; Martins, J.; Li, R.-R.; Ichoku, C.; Levy, R.; Kleidman, R. The MODIS aerosol algorithm, products, and validation J. Atmos. Sci. 2005, 62 (4) 947-973 (Pubitemid 40659709)
11. Kahn, R.; Banerjee, P.; McDonald, D.; Diner, D. J. Sensitivity of multiangle imaging to aerosol optical depth, and to pure-particle size distribution and composition over ocean J. Geophys. Res. Atmos. 1998, 103, 32195-32213 (Pubitemid 128665633)
12. 2.5 mass: Implications for air quality studies Geophys. Res. Lett. 2003, 30 (21) 2095
13. 2.5 concentrations using Multiangle Imaging Spectroradiometer aerosol optical thickness over the contiguous United States. J. Geophys. Res., Atmos. 2004, 109 (D22).
14. van Donkelaar, A.; Martin, R. V.; Brauer, M.; Kahn, R.; Levy, R.; Verduzco, C.; Villeneuve, P. J. Global estimates of ambient fine particulate matter concentrations from satellite-based aerosol optical depth: Development and application Environ. Health Perspect. 2010, 118 (6) 847
15. 2.5 in the eastern United States using satellite remote sensing Environ. Sci. Technol. 2005, 39 (9) 3269-3278 (Pubitemid 40638268)
16. 2.5 concentrations using satellite data, meteorology, and land use information Environ. Health Perspect. 2009, 117 (6) 886-892
17. 2.5 concentrations in the southeastern US using geographically weighted regression Environ. Res. 2013, 121, 1-10
18. 2.5 exposures in the Mid-Atlantic states Environ. Sci. Technol. 2012, 46 (21) 11913-11921
19. Guo, J.; Zhang, X.; Che, H.; Gong, S.; An, X.; Cao, C.; Guang, J.; Zhang, H.; Wang, Y.; Zhang, X. Correlation between PM concentrations and aerosol optical depth in eastern China Atmos. Environ. 2009, 43 (37) 5876-5886
20. 2.5 emissions control during the Beijing 2008 Olympic Games Environ. Int. 2012, 44 (0) 100-105
21. 2.5 concentration over Beijing J. Grad. Sch. Chin. Acad. Sci. 2010, 27 (1) 10-16 (in Chinese with English abstract)
22. 2.5 over Eastern China from MODIS aerosol optical depth using the back propagation neural network Environ. Sci. 2013, 34 (3) 817-825 (in Chinese with English abstract)
23. Holben, B.; Eck, T.; Slutsker, I.; Tanre, D.; Buis, J.; Setzer, A.; Vermote, E.; Reagan, J.; Kaufman, Y.; Nakajima, T. AERONET-A federated instrument network and data archive for aerosol characterization Remote. Sens. Environ. 1998, 66 (1) 1-16 (Pubitemid 29360424)
24. Jiang, X.; Liu, Y.; Yu, B.; Jiang, M. Comparison of MISR aerosol optical thickness with AERONET measurements in Beijing metropolitan area Remote. Sens. Environ. 2007, 107 (1) 45-53
25. Kahn, R.; Gaitley, B.; Martonchik, J.; Diner, D.; Crean, K.; Holben, B. Multiangle imaging spectroradiometer (MISR) global aerosol optical depth validation based on 2 years of coincident Aerosol Robotic Network (AERONET) observations J. Geophys. Res. 2005, 110, D10S04
26. Liu, Y.; Sarnat, J. A.; Coull, B. A.; Koutrakis, P.; Jacob, D. J. Validation of multiangle imaging spectroradiometer (MISR) aerosol optical thickness measurements using Aerosol Robotic Network (AERONET) observations over the contiguous United States J. Geophys. Res., Atmos. 2004, 109 (D6) D06205
27. Breon, F. M.; Vermeulen, A.; Descloitres, J. An evaluation of satellite aerosol products against sunphotometer measurements Remote. Sens. Environ. 2011, 115 (12) 3102-3111
28. Lucchesi, R. File Specification for GEOS-5 FP. GMAO Office Note No. 4 (Version 1.0), 2013. http://gmao.gsfc.nasa.gov/pubs/office-notes.
29. Rienecker, M. M.; Suarez, M. J.; Todling, R.; Bacmeister, J.; Takacs, L.; Liu, H.; Gu, W.; Sienkiewicz, M.; Koster, R.; Gelaro, R.; Nielsen, E. The GEOS-5 Data Assimilation System-Documentation of Versions 5.0.1, 5.1.0, and 5.2.0. In Technical Report Series on Global Modeling and Data Assimilation 104606, 2008; Vol. 27
30. Huete, A.; Justice, C.; Van Leeuwen, W. MODIS vegetation index (MOD 13). Version 3. Algorithm theoretical basis document, 1999. http://modis.gsfc.nasa. gov/data/atbd/atbd-mod13.pdf.
31. Bright, E. A.; Coleman, P. R.; Rose, A. N.; Urban, M. L. LandScan 2011; Oak Ridge National Laboratory: Oak Ridge, TN, 2012.
32. Puttaswamy, S. J.; Nguyen, H. M.; Braverman, A.; Hu, X.; Liu, Y. Statistical data fusion of multi-sensor AOD over the Continental United States Geocarto Int. 2013, 1-17
33. Brunsdon, C.; Fotheringham, A. S.; Charlton, M. E. Geographically weighted regression: A method for exploring spatial nonstationarity Geogr. Anal. 1996, 28 (4) 281-298 (Pubitemid 27269883)
34. Cressie, N. Spatial prediction and ordinary kriging Math. Geol. 1988, 20 (4) 405-421
35. Rodriguez, J. D.; Perez, A.; Lozano, J. A. Sensitivity analysis of k-fold cross validation in prediction error estimation IEEE Trans. Pattern Anal. Mach. Intell. 2010, 32 (3) 569-575
36. 2.5 concentrations in the St. Louis area: A comparison between MISR and MODIS Remote. Sens. Environ. 2007, 107 (1) 33-44 (Pubitemid 46241279)
37. 2.5 Environ. Sci. Technol. 2008, 42, 5800-5806
38. 2.5 concentrations in the Southeastern United States using MAIAC AOD retrievals and a two-stage model Remote. Sens. Environ. 2014, 140, 220-232
39. 2.5: Tracing and tracking atmospheric particulates in Urumqi City Environ. Protect. Xinjiang 2012, 34 (3) 6-11 (in Chinese with English Abstract)
40. 2.5 samples collected in four cities of Northeast China Water, Air, Soil Pollut. 2010, 209 (1-4) 15-28
41. 2.5 during a three-year sampling period in Beijing, China J. Environ. Monit. 2011, 13 (2) 334-346
42. Quan, J.; Zhang, Q.; He, H.; Liu, J.; Huang, M.; Jin, H. Analysis of the formation of fog and haze in North China Plain (NCP) Atmos. Chem. Phys. 2011, 11 (15) 8205-8214
43. Tao, M.; Chen, L.; Su, L.; Tao, J., Satellite observation of regional haze pollution over the North China Plain. J. Geophys. Res., Atmos. 2012, 117 (D12).
44. Sun, J.; Zhang, M.; Liu, T. Spatial and temporal characteristics of dust storms in China and its surrounding regions, 1960-1999: Relations to source area and climate J. Geophys. Res. 2001, 106 (D10) 10325-10333
45. Wang, X.; Dong, Z.; Zhang, J.; Liu, L. Modern dust storms in China: An overview J. Arid Environ. 2004, 58 (4) 559-574 (Pubitemid 38847841)
46. Sun, Y.; Zhuang, G.; Huang, K.; Li, J.; Wang, Q.; Wang, Y.; Lin, Y.; Fu, J. S.; Zhang, W.; Tang, A.; Zhao, X. Asian dust over northern China and its impact on the downstream aerosol chemistry in 2004 J. Geophys. Res., Atmos. 2010, 115 (D7) D00K09
47. 2.5 in Beijing by positive matrix factorization Atmos. Environ. 2006, 40 (8) 1526-1537 (Pubitemid 43188904)
48. 2.5 source contributions in Beijing, China Atmos. Environ. 2005, 39 (22) 3967-3976
49. Qian, Y.; Giorgi, F. Regional climatic effects of anthropogenic aerosols? The case of Southwestern China Geophys. Res. Lett. 2000, 27 (21) 3521-3524
50. WHO, World Health Organization. Air Quality Guidelines Global Update 2005; WHO/Europe.: Copenhagen, Denmark, 2005.
51. 2.5 Grids from MODIS and MISR Aerosol Optical Depth (AOD); NASA Socioeconomic Data and Applications Center (SEDAC), 2013.
52. Hsu, N. C.; Gautam, R.; Sayer, A. M.; Bettenhausen, C.; Li, C.; Jeong, M. J.; Tsay, S. C.; Holben, B. N. Global and regional trends of aerosol optical depth over land and ocean using SeaWiFS measurements from 1997 to 2010 Atmos. Chem. Phys. 2012, 12 (17) 8037-8053