Variability of PM10 in industrialized-urban areas. New coefficients to establish significant differences between sampling points.

One of the main problems that arise in the assessment of air quality in an area is to estimate the number of representative sampling points of each microenvironment within it. We present a new model that reduces the variability and increases the quality of the comparison of the sampling points. The study is based on the comparison between a city in eastern Spain, Vila-real, a macro city in México, Monterrey and the Piemonte region regarding the assessment of PM10 in microenvironments. Vila-real is located in the province of Castellón. This province is a strategic area in the framework of European Union (EU) pollution control. On the other hand, Monterrey in México, located in the northern state of Nuevo León, has several problems with particulate material in the atmosphere produced by the extraction of building materials in the hill that surround the city. Finally, the Piemonte region, which is located in the north of Italy, has to be in consideration due to higher concentrations of PM10 in the Po river basin. In the case of Vila-real the PM10 samples were collected by a medium volume sampler according to European regulations. Particle concentration levels were determined gravimetrically (EN 12341:1999). In the case of Monterrey the PM10 concentrations were determined by Beta Ray Attenuation according to US-EPA regulations. In the Piemonte region, the average concentration of PM10 was also obtained by means of the Beta Ray Attenuation as well as using gravimetric instruments. The methodology carried out in this paper is a useful tool for developing future Air Quality Plans in other industrialised areas.

[1]  M. Malandrino,et al.  Spatial distribution and potential sources of trace elements in PM10 monitored in urban and rural sites of Piedmont Region. , 2016, Chemosphere.

[2]  A. Mendoza,et al.  Chemical characterization and factor analysis of PM2.5 in two sites of Monterrey, Mexico , 2012, Journal of the Air & Waste Management Association.

[3]  Peter Höppe,et al.  Health effects of particles in ambient air. , 2004, International journal of hygiene and environmental health.

[4]  Michael Brauer,et al.  An Integrated Risk Function for Estimating the Global Burden of Disease Attributable to Ambient Fine Particulate Matter Exposure , 2014, Environmental health perspectives.

[5]  M. Sanz,et al.  PM10 speciation and determination of air quality target levels. A case study in a highly industrialized area of Spain. , 2007, The Science of the total environment.

[6]  S. Incecik,et al.  Influence of meteorological factors and emission sources on spatial and temporal variations of PM10 concentrations in Istanbul metropolitan area , 2011 .

[7]  J. W. van Groenigen,et al.  The influence of variogram parameters on optimal sampling schemes for mapping by kriging , 2000 .

[8]  D. Dockery,et al.  Health Effects of Fine Particulate Air Pollution: Lines that Connect , 2006, Journal of the Air & Waste Management Association.

[9]  S. R. Oliva,et al.  Monitoring of heavy metals in topsoils, atmospheric particles and plant leaves to identify possible contamination sources , 2007 .

[10]  M. Liess,et al.  Potential use of cholinesterase in monitoring low levels of organophosphates in small streams: Natural variability in three‐spined stickleback (Gasterosteus aculeatus) and relation to pollution , 1999 .

[11]  R. Burnett,et al.  Lung cancer, cardiopulmonary mortality, and long-term exposure to fine particulate air pollution. , 2002, JAMA.

[12]  Noel Cressie,et al.  Spatial fay-herriot models for small area estimation with functional covariates , 2013, 1303.6668.

[13]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[14]  G. Kallos,et al.  Saharan dust contributions to PM10 and TSP levels in Southern and Eastern Spain , 2001 .

[15]  J. Pearce,et al.  A review of intraurban variations in particulate air pollution: Implications for epidemiological research , 2005 .

[16]  Michael Brauer,et al.  Air pollution and daily mortality in a city with low levels of pollution. , 2003, Environmental health perspectives.

[17]  M. Kampa,et al.  Human health effects of air pollution. , 2008, Environmental pollution.

[18]  Alexei Lyapustin,et al.  Seasonal Monitoring and Estimation of Regional Aerosol Distribution over Po Valley, Northern Italy, Using a High-Resolution MAIAC Product , 2016 .

[19]  E. Carraro,et al.  PM10 in a background urban site: chemical characteristics and biological effects. , 2015, Environmental toxicology and pharmacology.

[20]  R. Webster,et al.  Statistical Methods in Soil and Land Resource Survey. , 1990 .

[21]  R. Harrison,et al.  Analysis of the air pollution climate at a background site in the Po valley. , 2012, Journal of environmental monitoring : JEM.

[22]  Vito Vitale,et al.  Columnar aerosol optical properties in the Po Valley, Italy, from MFRSR data , 2010 .

[23]  F. Dominici,et al.  Fine particulate air pollution and mortality in 20 U.S. cities, 1987-1994. , 2000, The New England journal of medicine.

[24]  K. Berhane,et al.  The effect of air pollution on lung development from 10 to 18 years of age. , 2004, The New England journal of medicine.

[25]  Philippe Thunis,et al.  Impact of meteorology on air quality modeling over the Po valley in northern Italy , 2012 .

[26]  D. Streets,et al.  A technology‐based global inventory of black and organic carbon emissions from combustion , 2004 .

[27]  S. Shapiro,et al.  An Analysis of Variance Test for Normality (Complete Samples) , 1965 .

[28]  Paolo Crosignani,et al.  Estimation of particle mass concentration in ambient air using a particle counter , 2008 .

[29]  G. Zibordi,et al.  Aerosol variability in the Po Valley analyzed from automated optical measurements , 2005 .

[30]  V. Cachorro,et al.  A long Saharan dust event over the western Mediterranean: Lidar, Sun photometer observations, and regional dust modeling , 2006 .

[31]  U. Lerner,et al.  On the feasibility of measuring urban air pollution by wireless distributed sensor networks. , 2015, The Science of the total environment.

[32]  Evangelos A. Yfantis,et al.  Efficiency of kriging estimation for square, triangular, and hexagonal grids , 1987 .

[33]  M. Castro,et al.  THE EFFECT OF MESO-SCALE FLOWS ON REGIONAL AND LONG-RANGE ATMOSPHERIC TRANSPORT IN THE WESTERN MEDITERRANEAN AREA , 1991 .

[34]  Barbara J. Turpin,et al.  Species Contributions to PM2.5 Mass Concentrations: Revisiting Common Assumptions for Estimating Organic Mass , 2001 .

[35]  M. Agrawal,et al.  Effect of air pollution on peri-urban agriculture: a case study. , 2003, Environmental pollution.

[36]  Boštjan Gomišček,et al.  Acute effects of particulate matter on respiratory diseases, symptoms and functions:: epidemiological results of the Austrian Project on Health Effects of Particulate Matter (AUPHEP) , 2004 .

[37]  A. Mendoza-Domínguez,et al.  Diurnal and seasonal variation of volatile organic compounds in the atmosphere of Monterrey, Mexico , 2015 .

[38]  M. Millán,et al.  Comparative study of seasonal air pollutant behavior in a Mediterranean coastal site: Castellón (Spain) , 1991 .

[39]  Daniel Krewski,et al.  Acute Effects of Ambient Particulate Matter on Mortality in Europe and North America: Results from the APHENA Study , 2008, Environmental health perspectives.

[40]  E. Pisoni,et al.  Modelling assessment of PM10 exposure control policies in Northern Italy , 2008 .

[41]  L. Vigliotti,et al.  A marine/terrestrial integration for mid-late Holocene vegetation history and the development of the cultural landscape in the Po valley as a result of human impact and climate change , 2012, Vegetation History and Archaeobotany.

[42]  Constantinos Sioutas,et al.  Intra-Community Variability in Total Particle Number Concentrations in the San Pedro Harbor Area (Los Angeles, California) , 2009 .

[43]  Christopher G. Nolte,et al.  Levoglucosan, a tracer for cellulose in biomass burning and atmospheric particles , 1999 .

[44]  R. O’Brien,et al.  A Caution Regarding Rules of Thumb for Variance Inflation Factors , 2007 .

[45]  Xavier Querol,et al.  Origin of high summer PM10 and TSP concentrations at rural sites in Eastern Spain , 2002 .

[46]  N. Saliba,et al.  Intraurban variability of PM10 and PM2.5 in an Eastern Mediterranean city , 2011 .

[47]  A. McBratney,et al.  Optimal interpolation and isarithmic mapping of soil properties: V. Co-regionalization and multiple sampling strategy , 1983 .

[48]  M. Jordán,et al.  Vectorial model to study the local breeze regimen and its relationship with SO2 and particulate matter concentrations in the urban area of Castellón, Spain , 1995 .

[49]  Eliseo Monfort,et al.  Effect of ceramic industrial particulate emission control on key components of ambient PM10. , 2009, Journal of environmental management.

[50]  M. Jordán,et al.  Comparison Between Industrial–Urban and Rural Particle Stations in a Ceramic Cluster (NE, Spain) , 2011 .

[51]  Joel Schwartz,et al.  Empirical Bayes and Adjusted Estimates Approach to Estimating the Relation of Mortality to Exposure of PM10 , 2005, Risk analysis : an official publication of the Society for Risk Analysis.

[52]  J. Rius,et al.  Geochemical characteristics of particulate matter in the atmosphere surrounding a ceramic industrialized area , 2004 .

[53]  M. Jordán,et al.  PM10 and Pb evolution in an industrial area of the Mediterranean basin , 2007 .

[54]  Donald W. Marquaridt Generalized Inverses, Ridge Regression, Biased Linear Estimation, and Nonlinear Estimation , 1970 .

[55]  Alan J. Wallcraft,et al.  A Correction for Land Contamination of Atmospheric Variables near Land–Sea Boundaries* , 2007 .