Synergy use of satellite remote sensing and in-situ monitoring data for air pollution impacts on urban climate

The increase of urban atmospheric pollution due to particulate matters (PM) in different fraction sizes affects seriously not only human health and environment, but also city climate directly and indirectly. In the last decades, with the economic development and the increased emissions from industrial, traffic and domestic pollutants, the urban atmospheric pollution with remarkable high PM2.5 (particulate matters with aerodynamic diameter less than 2.5 μm) and PM10 (particulate matters with aerodynamic diameter less than 10 μm) concentration levels became serious in the metropolitan area of Bucharest in Romania. Both active as well as satellite remote sensing are key applications in global change science and urban climatology. The aerosol parameters can be measured directly in situ or derived from satellite remote sensing observations. All these methods are important and complementary. The current study presents a spatiotemporal analysis of the aerosol concentrations in relation with climate parameters in two size fractions (PM10 and PM2.5) in Bucharest metropolitan area. Daily average particle matters concentrations PM10 and PM2.5 for Bucharest metropolitan area have been provided by 8 monitoring stations belonging to air pollution network of Environmental Protection Agency. The C005 (version 5.1) Level 2 and Level 3 Terra and Aqua MODIS AOD550 time-series satellite data for period 01/01/2011- 31/12/2012 have been also used. Meteorological variables (air temperature, relative humidity, sea level atmospheric pressure) have been provided by in-situ measurements. Both in-situ monitoring data as well as MODIS Terra/Aqua time-series satellite data for 2011-2012 period provided useful tools for particle matter PM2.5 and PM10 monitoring.

[1]  Maria A. Zoran,et al.  Ground level ozone (O3) associated with radon (222Rn) and particulate matter (PM) concentrations in Bucharest metropolitan area and adverse health effects , 2014, Journal of Radioanalytical and Nuclear Chemistry.

[2]  M. M. Abdel Wahab,et al.  Aerosol properties and associated radiative effects over Cairo (Egypt) , 2011 .

[3]  Pinhas Alpert,et al.  AOD Trends over Megacities Based on Space Monitoring Using MODIS and MISR , 2012 .

[4]  O. Boucher,et al.  A satellite view of aerosols in the climate system , 2002, Nature.

[5]  M. Zoran,et al.  Atmospheric and spectral corrections for estimating surface albedo from satellite data , 2006 .

[6]  Oleg Dubovik,et al.  Global aerosol optical properties and application to Moderate Resolution Imaging Spectroradiometer aerosol retrieval over land , 2007 .

[7]  S Nava,et al.  Elemental characterization of PM10, PM2.5 and PM1 in the town of Genoa (Italy). , 2006, Chemosphere.

[8]  Xingfa Gu,et al.  The inter-comparison of MODIS, MISR and GOCART aerosol products against AERONET data over China , 2012 .

[9]  Thomas Blaschke,et al.  Intercomparison of MODIS, MISR, OMI, and CALIPSO aerosol optical depth retrievals for four locations on the Indo-Gangetic plains and validation against AERONET data , 2015 .

[10]  Roxana Savastru,et al.  Urban landcover mapping using Multiple Endmember Spectral Mixture Analysis , 2008 .

[11]  David Canning,et al.  Urbanization and the Wealth of Nations , 2008, Science.

[12]  Maria A. Zoran,et al.  Urban vegetation land covers change detection using multi-temporal MODIS Terra/Aqua data , 2013, Remote Sensing.

[13]  Jie Tian,et al.  Spectral, spatial, and temporal sensitivity of correlating MODIS aerosol optical depth with ground-based fine particulate matter (PM2.5) across southern Ontario , 2010 .

[14]  Christiane Weber,et al.  Use of multi-temporal and multispectral satellite data for urban change detection analysis , 2007 .

[15]  M. M. Abdel Wahab,et al.  Aerosol characteristics over urban Cairo: Seasonal variations as retrieved from Sun photometer measurements , 2008 .