Design of an Air-Quality Surveillance System for Buenos Aires City Integrated by a NOx Monitoring Network and Atmospheric Dispersion Models

This paper presents an air-quality surveillance system designed to detect the occurrence of air pollutant concentrations greater than a reference level in an urban area. The system is integrated by an air-quality monitoring network and atmospheric dispersion models simulations. An objective methodology to design an urban air-quality monitoring network is proposed. This methodology is based on the analysis of air-quality modelling results. The procedure is applied to design an air-quality monitoring network to control NOx concentration levels in Buenos Aires City. Results indicate that six monitors will detect the occurrence of concentration greater than the air-quality guidelines with an efficiency of about 67%. Once a violation is detected, results of atmospheric dispersion models will help in the determination of affected areas. Four possible examples are included to illustrate the assistance that the results of atmospheric dispersion models can bring to a better estimation of possible affected areas in the city. Combining these results with the last census data, an estimation of the inhabitants possibly exposed is obtained.

[1]  Rex Britter,et al.  Simple screening models for urban dispersion , 2002 .

[2]  Ching-Ho Chen,et al.  Development of a multiple objective planning theory and system for sustainable air quality monitoring networks. , 2006, The Science of the total environment.

[3]  Nicolás A Mazzeo,et al.  Air pollution model for an urban area , 1991 .

[4]  N. A. Mazzeo,et al.  Modelling of urban background pollution in Buenos Aires City (Argentina) , 2006, Environ. Model. Softw..

[5]  Nicolás A Mazzeo,et al.  An Evaluation of Daumod Model in Estimating Urban Background Concentrations , 2002 .

[6]  Ana Graciela Ulke,et al.  Climatological aspects of the daytime mixing height in Buenos Aires city, Argentina , 1998 .

[7]  L. Venegas,et al.  Practical use of the ISCST3 model to select monitoring site locations for air pollution control , 2000 .

[8]  A. Yegnan,et al.  Uncertainty analysis in air dispersion modeling , 2002, Environ. Model. Softw..

[9]  A. J. Elshout,et al.  A classification of no oxidation rates in power plant plumes based on atmospheric conditions , 1988 .

[10]  Pavlos S. Kanaroglou,et al.  Establishing an air pollution monitoring network for intra-urban population exposure assessment: A location-allocation approach , 2005 .

[11]  N B Chang,et al.  Assessing relocation strategies of urban air quality monitoring stations by GA-based compromise programming. , 2001, Environment international.

[12]  Bethan Owen,et al.  Prediction of total oxides of nitrogen and nitrogen dioxide concentrations in a large urban area using a new generation urban scale dispersion model with integral chemistry model , 2000 .

[13]  Nicolás A Mazzeo,et al.  Analysis of NO, NO2, O3 and NOx concentrations measured at a green area of Buenos Aires City during wintertime , 2005 .

[14]  R. Derwent,et al.  Using Measurements of Nitrogen Oxides to Estimate the Emission Controls Required to Meet the UK Nitrogen Dioxide Standard , 2000 .

[15]  Horacio Bogo,et al.  Continuous measurement of gaseous pollutants in Buenos Aires city , 1999 .

[16]  Carbon Monoxide Concentration in a Street Canyon of Buenos Aires City (Argentina) , 2000 .

[17]  John S. Irwin,et al.  Applied dispersion modelling based on meteorological scaling parameters , 1987 .

[18]  Ruwim Berkowicz,et al.  A Simple Model for Urban Background Pollution , 2000 .

[19]  T. Husain,et al.  Air monitoring network design using Fisher's information measures—A case study , 1983 .

[20]  Ari Karppinen,et al.  A modelling system for predicting urban air pollution: model description and applications in the Helsinki metropolitan area , 2000 .

[21]  Steven R. Hanna,et al.  Modelling urban air pollution. , 1973, Atmospheric environment.

[22]  S. P. S. Arya,et al.  Introduction to micrometeorology , 1988 .

[23]  Steven R. Hanna,et al.  Evaluation of the ADMS, AERMOD, and ISC3 dispersion models with the OPTEX, Duke Forest, Kincaid, Indianapolis and Lovett field datasets , 2001 .

[25]  R. Negri,et al.  Study of atmospheric particulate matter in Buenos Aires city , 2003 .

[26]  Michael Bennett,et al.  Evaluation of new generation atmospheric dispersion models , 2002 .

[27]  Estimation of Cumulative Frequency Distribution for Carbon Monoxide Concentration from Wind-Speed Data, in Buenos Aires (Argentina) , 2002 .

[28]  Derek M. Elsom,et al.  Rationalisation of the national survey of air pollution monitoring network of the United Kingdom using spatial correlation analysis: A case-study of the Greater London area , 1982 .

[29]  C. Borrego,et al.  Emission and dispersion modelling of Lisbon air quality at local scale , 2003 .

[30]  Kenneth E. Noll,et al.  Design methodology for optimum dosage air monitoring site selection , 1983 .