Study of PBLH and its correlation with particulate matter from one-year observation over Nanjing, Southeast China

Remote Sensing

Volumn 9, Issue 7, 2017, Pages

  Qu, Yawei ^a   Han, Yong ^a,b   Wu, Yonghua ^c   Gao, Peng ^a   Wang, Tijian ^a  

^a NANJING UNIVERSITY   (China)

^b SUN YAT SEN UNIVERSITY   (China)

^c CITY UNIVERSITY OF NEW YORK   (United States)

Author keywords

Air pollution; Lidar; Planetary boundary layer; PM2.5

Indexed keywords

AIR POLLUTION; ATMOSPHERIC THERMODYNAMICS; BOUNDARY LAYERS; GRADIENT METHODS; OPTICAL RADAR; VISIBILITY;

CORRELATION COEFFICIENT; HIGH RELATIVE HUMIDITIES; NEGATIVE CORRELATION; PARTICULATE POLLUTION; PLANETARY BOUNDARY LAYERS; PM2.5 CONCENTRATION; STANDARD DEVIATION METHOD; WAVELET COVARIANCE TRANSFORM;

POLLUTION;

EID: 85022331547     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs9070668     Document Type: Article

References (58)

1. Chen, P.; Wang, T.; Lu, X.; Yu, Y.; Kasoar, M.; Xie, M.; Zhuang, B. Source apportionment of size-fractionated particles during the 2013 Asian Youth Games and the 2014 Youth Olympic Games in Nanjing, China. Sci. Total Environ. 2017, 579, 860-870
2. 2.5 concentration in China using geographically weighted regression based on 3 km resolution MODIS aod. Remote Sens. 2016, 8, 13
3. Artaxo, P.; Bretherton, C.; Feingold, G.; Forster, P.; Kerminen, V.M.; Kondo, Y.; Liao, H.; Lohmann, U.; Rasch, P.; Satheesh, S.K.; et al. Cloud and Aerosols. In Climate Change 2013: The Physical Science Basis: Working Group I Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change; Cambridge University Press: Cambridge, UK; New York, NY, USA, 2014; pp. 614-623
4. Kan, H.D.; London, S.J.; Chen, G.H.; Zhang, Y.H.; Song, G.X.; Zhao, N.Q.; Jiang, L.L.; Chen, B.H. Season, sex, age, and education as modifiers of the effects of outdoor air pollution on daily mortality in Shanghai, China: The public health and air pollution in Asia (PAPA) study. Environ. Health Perspect. 2008, 116, 1183-1188
5. Deng, J.J.; Wang, T.J.; Liu, L.; Jiang, F. Modeling heterogeneous chemical processes on aerosol surface. Particuology 2010, 8, 308-318
6. Park, S.S.; Jung, Y.; Lee, Y.G. Spectral dependence on the correction factor of erythemal UV for cloud, aerosol, total ozone, and surface properties: A modeling study. Adv. Atmos. Sci. 2016, 33, 865-874
7. Atwater, M.A. The radiation budget for polluted layers of the urban environment. J. Appl. Meteorol. 1971, 10, 205-214
8. Gao, Y.; Zhang, M.; Liu, Z.; Wang, L.; Wang, P.; Xia, X.; Tao, M.; Zhu, L. Modeling the feedback between aerosol and meteorological variables in the atmospheric boundary layer during a severe fog-haze event over the North China Plain. Atmos. Chem. Phys. 2015, 15, 4279-4295
9. Wang, T.J.; Li, S.; Shen, Y.; Deng, J.J.; Xie, M. Investigations on direct and indirect effect of nitrate on temperature and precipitation in China using a regional climate chemistry modeling system. J. Geophys. Res. Atmos. 2010, 115, 13
10. Attwood, A.R.; Washenfelder, R.A.; Brock, C.A.; Hu, W.; Baumann, K.; Campuzano-Jost, P.; Day, D.A.; Edgerton, E.S.; Murphy, D.M.; Palm, B.B.; et al. Trends in sulfate and organic aerosol mass in the Southeast U.S.: Impact on aerosol optical depth and radiative forcing. Geophys. Res. Lett. 2014, 41, 7701-7709
11. Wang, J.; Park, S.; Zeng, J.; Ge, C.; Yang, K.; Carn, S.; Krotkov, N.; Omar, A.H. Modeling of 2008 kasatochi volcanic sulfate direct radiative forcing: Assimilation of omi SO2 plume height data and comparison with MODIS and CALIOP observations. Atmos. Chem. Phys. 2013, 13, 1895-1912
12. Zhuang, B.L.; Jiang, F.; Wang, T.J.; Li, S.; Zhu, B. Investigation on the direct radiative effect of fossil fuel black-carbon aerosol over China. Theor. Appl. Climatol. 2011, 104, 301-312
13. Wang, Q.Y.; Huang, R.J.; Zhao, Z.Z.; Cao, J.J.; Ni, H.Y.; Tie, X.X.; Zhao, S.Y.; Su, X.L.; Han, Y.M.; Shen, Z.X.; et al. Physicochemical characteristics of black carbon aerosol and its radiative impact in a polluted urban area of China. J. Geophys. Res. Atmos. 2016, 121, 12505-12519
14. Li, S.; Wang, T.J.; Solmon, F.; Zhuang, B.L.; Wu, H.; Xie, M.; Han, Y.; Wang, X.M. Impact of aerosols on regional climate in southern and northern China during strong/weak East Asian summer monsoon years. J. Geophys. Res. Atmos. 2016, 121, 4069-4081
15. Xia, X.; Che, H.; Zhu, J.; Chen, H.; Cong, Z.; Deng, X.; Fan, X.; Fu, Y.; Goloub, P.; Jiang, H.; et al. Ground-based remote sensing of aerosol climatology in China: Aerosol optical properties, direct radiative effect and its parameterization. Atmos. Environ. 2016, 124, 243-251
16. Zhuang, B.L.;Wang, T.J.; Li, S.; Liu, J.; Talbot, R.; Mao, H.T.; Yang, X.Q.; Fu, C.B.; Yin, C.Q.; Zhu, J.L.; et al. Optical properties and radiative forcing of urban aerosols in Nanjing, China. Atmos. Environ. 2014, 83, 43-52
17. Zhuang, B.L.; Wang, T.J.; Liu, J.; Ma, Y.; Yin, C.Q.; Li, S.; Xie, M.; Han, Y.; Zhu, J.L.; Yang, X.Q.; et al. Absorption coefficient of urban aerosol in Nanjing, west Yangtze River delta, China. Atmos. Chem. Phys. 2015, 15, 13633-13646
18. Ma, J.Z.; Xu, X.B.; Zhao, C.S.; Yan, P. A review of atmospheric chemistry research in China: Photochemical smog, haze pollution, and gas-aerosol interactions. Adv. Atmos. Sci. 2012, 29, 1006-1026
19. Huang, R.J.; Zhang, Y.L.; Bozzetti, C.; Ho, K.F.; Cao, J.J.; Han, Y.M.; Daellenbach, K.R.; Slowik, J.G.; Platt, S.M.; Canonaco, F.; et al. High secondary aerosol contribution to particulate pollution during haze events in China. Nature 2014, 514, 218-222
20. Tao, M.H.; Chen, L.F.; Xiong, X.Z.; Zhang, M.G.; Ma, P.F.; Tao, J.H.; Wang, Z.F. Formation process of the widespread extreme haze pollution over Northern China in january 2013: Implications for regional air quality and climate. Atmos. Environ. 2014, 98, 417-425
21. Boynard, A.; Clerbaux, C.; Clarisse, L.; Safieddine, S.; Pommier, M.; Van Damme, M.; Bauduin, S.; Oudot, C.; Hadji-Lazaro, J.; Hurtmans, D.; et al. First simultaneous space measurements of atmospheric pollutants in the boundary layer from IASI: A case study in the North China Plain. Geophys. Res. Lett. 2014, 41, 645-651
22. Stull, R.B. An Introduction to Boundary Layer Meteorology (Vol. 13); Kluwer Academic Publishers: Dordrecht, The Netherlands; Boston, MA, USA; London, UK, 1988
23. Petaja, T.; Jarvi, L.; Kerminen, V.M.; Ding, A.J.; Sun, J.N.; Nie, W.; Kujansuu, J.; Virkkula, A.; Yang, X.Q.; Fu, C.B.; et al. Enhanced air pollution via aerosol-boundary layer feedback in China. Sci. Rep. 2016, 6, 6
24. Zilitinkevich, S.S.; Tyuryakov, S.A.; Troitskaya, Y.I.; Mareev, E.A. Theoretical models of the height of the atmospheric boundary layer and turbulent entrainment at its upper boundary. Izv. Atmos. Ocean. Phys. 2012, 48, 133-142
25. Tyagi, S.; Tiwari, S.; Mishra, A.; Singh, S.; Hopke, P.K.; Singh, S.; Attri, S.D. Characteristics of absorbing aerosols during winter foggy period over the national capital region of Delhi: Impact of planetary boundary layer dynamics and solar radiation flux. Atmos. Res. 2017, 188, 1-10
26. Leventidou, E.; Zanis, P.; Balis, D.; Giannakaki, E.; Pytharoulis, I.; Amiridis, V. Factors affecting the comparisons of planetary boundary layer height retrievals from CALIPSO, ECMWF and radiosondes over Thessaloniki, Greece. Atmos. Environ. 2013, 74, 360-366
27. Liu, J.J.; Huang, J.P.; Chen, B.; Zhou, T.; Yan, H.R.; Jin, H.C.; Huang, Z.W.; Zhang, B.D. Comparisons of PBL heights derived from CALIPSO and ECMWF reanalysis data over China. J. Quant. Spectrosc. Radiat. Transf. 2015, 153, 102-112
28. Bianco, L.; Wilczak, J.M. Convective boundary layer depth: Improved measurement by doppler radar wind profiler using fuzzy logic methods. J. Atmos. Ocean. Technol. 2002, 19, 1745-1758
29. Munkel, C.; Schafer, K.; Emeis, S. Adding confidence levels and error bars to mixing layer heights detected by ceilometer. In Remote Sensing of Clouds and the Atmosphere XVI; Kassianov, E.I., Comeron, A., Picard, R.H., Schafer, K., Eds.; Spie-Int Soc Optical Engineering: Bellingham, WA, USA, 2011; Volume 8177
30. Lotteraner, C.; Piringer, M. Mixing-height time series from operational ceilometer aerosol-layer heights. Bound. Layer Meteorol. 2016, 161, 265-287
31. Uzan, L.; Egert, S.; Alpert, P. Ceilometer evaluation of the eastern mediterranean summer boundary layer height-First study of two Israeli sites. Atmos. Meas. Tech. 2016, 9, 4387-4398
32. Casasanta, G.; Pietroni, I.; Petenko, I.; Argentini, S. Observed and modelled convective mixing-layer height at Dome C, Antarctica. Bound. Layer Meteorol. 2014, 151, 597-608
33. Petenko, I.; Argentini, S.; Casasanta, G.; Kallistratova, M.; Sozzi, R.; Viola, A. Wavelike structures in the turbulent layer during the morning development of convection at Dome C, Antarctica. Bound. Layer Meteorol. 2016, 161, 289-307
34. De Tomasi, F.; Perrone, M.R. PBL and dust layer seasonal evolution by Lidar and radiosounding measurements over a peninsular site. Atmos. Res. 2006, 80, 86-103
35. Pal, S. Monitoring depth of shallow atmospheric boundary layer to complement Lidar measurements affected by partial overlap. Remote Sens. 2014, 6, 8468-8493
36. Deng, T.; Deng, X.; Li, F.; Wang, S.; Wang, G. Study on aerosol optical properties and radiative effect in cloudy weather in the Guangzhou region. Sci. Total Environ. 2016, 568, 147-154
37. Wang, W.; Gong, W.; Mao, F.Y.; Pan, Z.X. An improved iterative fitting method to estimate nocturnal residual layer height. Atmosphere 2016, 7, 106
38. Hoff, R.M.; GuiseBagley, L.; Staebler, R.M.; Wiebe, H.A.; Brook, J.; Georgi, B.; Dusterdiek, T. Lidar, nephelometer, and in situ aerosol experiments in Southern Ontario. J. Geophys. Res. Atmos. 1996, 101, 19199-19209
39. Flamant, C.; Pelon, J.; Flamant, P.H.; Durand, P. Lidar determination of the entrainment zone thickness at the top of the unstable marine atmospheric boundary layer. Bound. Layer Meteorol. 1997, 83, 247-284
40. Hennemuth, B.; Lammert, A. Determination of the atmospheric boundary layer height from radiosonde and Lidar backscatter. Bound. Layer Meteorol. 2006, 120, 181-200
41. Comeron, A.; Sicard, M.; Rocadenbosch, F. Wavelet correlation transform method and gradient method to determine aerosol layering from Lidar returns: Some comments. J. Atmos. Ocean. Technol. 2013, 30, 1189-1193
42. Hooper, W.P.; Eloranta, E.W. Lidar measurements of wind in the planetary boundary-layer-The method, accuracy and results from joint measurements with radiosonde and kytoon. J. Clim. Appl. Meteorol. 1986, 25, 990-1001
43. Menut, L.; Flamant, C.; Pelon, J.; Flamant, P.H. Urban boundary-layer height determination from Lidar measurements over the Paris area. Appl. Opt. 1999, 38, 945-954
44. Cohn, S.A.; Angevine, W.M. Boundary layer height and entrainment zone thickness measured by Lidars and wind-profiling radars. J. Appl. Meteorol. 2000, 39, 1233-1247
45. Granados-Munoz, M.J.; Navas-Guzman, F.; Bravo-Aranda, J.A.; Guerrero-Rascado, J.L.; Lyamani, H.; Fernandez-Galvez, J.; Alados-Arboledas, L. Automatic determination of the planetary boundary layer height using Lidar: One-year analysis over Southeastern Spain. J. Geophys. Res. Atmos. 2012, 117, 10
46. Deng, T.; Wu, D.; Deng, X.; Tan, H.; Li, F.; Liao, B. A vertical sounding of severe haze process in Guangzhou area. Sci. China Earth Sci. 2014, 57, 2650-2656
47. Steyn, D.G.; Boldi, M.; Hoff, R.M. The detection of mixed layer depth and entrainment zone thickness from Lidar backscatter profiles. J. Atmos. Ocean. Technol. 1999, 16, 953-959
48. Hägeli, P.; Steyn, D.G.; Strawbridge, K.B. Spatial and temporal variability of mixed-layer depth and entrainment zone thickness. Bound. Layer Meteorol. 2000, 97, 47-71
49. Klett, J.D. Lidar inversion with variable backscatter extinction ratios. Appl. Opt. 1985, 24, 1638-1643
50. Du, C.L.; Liu, S.Y.; Yu, X.; Li, X.M.; Chen, C.; Peng, Y.; Dong, Y.; Dong, Z.P.;Wang, F.Q. Urban boundary layer height characteristics and relationship with particulate matter mass concentrations in Xi'an, central China. Aerosol Air Qual. Res. 2013, 13, 1598-1607
51. Schneider, J.; Eixmann, R. Three years of routine raman Lidar measurements of tropospheric aerosols: backscattering, extinction, and residual layer height. Atmos. Chem. Phys. 2002, 2, 313-323
52. Matthias, V.; Bosenberg, J. Aerosol climatology for the planetary boundary layer derived from regular Lidar measurements. Atmos. Res. 2002, 63, 221-245
53. Van der Kamp, D.; McKendry, I. Diurnal and seasonal trends in convective mixed-layer heights estimated from two years of continuous ceilometer observations in Vancouver, BC. Bound. Layer Meteorol. 2010, 137, 459-475
54. Strawbridge, K.; Travis, M.; Harwood, M. Preliminary results from scanning Lidar measurements of stack plumes during winter/summer. In Proceedings of the SPIE 4546 Laser Radar: Ranging and Atmospheric Lidar Techniques III, Toulouse, France, 17 September 2017; pp. 101-110
55. Chinese Ministry of Environmental Protection (MEP) and General Administration of Quality Supervision, Inspection, and Quarantine (AQISQ) of the People's Republic of China. Ambient Air Quality Standards (GB 3095-2012); China Environmental Science Press: Beijing, China, 2012
56. Batchvarova, E.; Gryning, S.-E. Applied model for the growth of the daytime mixed layer. Bound. Layer Meteorol. 1991, 56, 261-274
57. Deng, J.J.;Wang, T.J.; Jiang, Z.Q.; Xie, M.; Zhang, R.J.; Huang, X.X.; Zhu, J.L. Characterization of visibility and its affecting factors over Nanjing, China. Atmos. Res. 2011, 101, 681-691
58. Levin, E.J.T.; Prenni, A.J.; Palm, B.B.; Day, D.A.; Campuzano-Jost, P.; Winkler, P.M.; Kreidenweis, S.M.; DeMott, P.J.; Jimenez, J.L.; Smith, J.N. Size-resolved aerosol composition and its link to hygroscopicity at a forested site in Colorado. Atmos. Chem. Phys. 2014, 14, 2657-2667