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spelling paper:paper_09574352_v20_n1-6_p185_Venegas2023-06-08T15:56:32Z Design methodology for background air pollution monitoring site selection in an urban area Venegas, Laura Esperanza Mazzeo, Nicolás Antonio Air pollution Air pollution control Atmospheric diffusion model DAUMOD Monitoring network Network design Urban area Air monitoring Urban dispersion model Atmospherics Monitoring Urban planning Air pollution nitrogen oxide atmospheric pollution diffusion numerical model pollution control pollution monitoring urban atmosphere air monitoring air pollution air pollution control atmospheric diffusion atmospheric dispersion circannual rhythm concentration (parameters) conference paper exhaust gas methodology model reference value urban area We present an air monitoring site selection procedure to determine the minimum number and location of monitoring stations to identify the occurrence of background concentrations greater than a reference value in an urban area. The objective technique reported here is based on the analysis of concentrations estimated using an urban dispersion model for at least one year of hourly information. As an example, we applied the proposed methodology to NO x emissions in the city of Copenhagen (Denmark). We used the urban dispersion model DAUMOD to obtain horizontal distribution of hourly background concentrations. We obtained that two monitors would be able to identify 97% of the cases with hourly concentrations greater than 0.20 mg/m 3 and 95.2% of cases with daily mean concentration greater than 0.12 mg/m 3. We found that the differences on network design due to inter-annual variability of atmospheric conditions were less than 5% of the cases of interest. Fil:Venegas, L.E. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Mazzeo, N.A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2003 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09574352_v20_n1-6_p185_Venegas http://hdl.handle.net/20.500.12110/paper_09574352_v20_n1-6_p185_Venegas
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Air pollution
Air pollution control
Atmospheric diffusion model
DAUMOD
Monitoring network
Network design
Urban area
Air monitoring
Urban dispersion model
Atmospherics
Monitoring
Urban planning
Air pollution
nitrogen oxide
atmospheric pollution
diffusion
numerical model
pollution control
pollution monitoring
urban atmosphere
air monitoring
air pollution
air pollution control
atmospheric diffusion
atmospheric dispersion
circannual rhythm
concentration (parameters)
conference paper
exhaust gas
methodology
model
reference value
urban area
spellingShingle Air pollution
Air pollution control
Atmospheric diffusion model
DAUMOD
Monitoring network
Network design
Urban area
Air monitoring
Urban dispersion model
Atmospherics
Monitoring
Urban planning
Air pollution
nitrogen oxide
atmospheric pollution
diffusion
numerical model
pollution control
pollution monitoring
urban atmosphere
air monitoring
air pollution
air pollution control
atmospheric diffusion
atmospheric dispersion
circannual rhythm
concentration (parameters)
conference paper
exhaust gas
methodology
model
reference value
urban area
Venegas, Laura Esperanza
Mazzeo, Nicolás Antonio
Design methodology for background air pollution monitoring site selection in an urban area
topic_facet Air pollution
Air pollution control
Atmospheric diffusion model
DAUMOD
Monitoring network
Network design
Urban area
Air monitoring
Urban dispersion model
Atmospherics
Monitoring
Urban planning
Air pollution
nitrogen oxide
atmospheric pollution
diffusion
numerical model
pollution control
pollution monitoring
urban atmosphere
air monitoring
air pollution
air pollution control
atmospheric diffusion
atmospheric dispersion
circannual rhythm
concentration (parameters)
conference paper
exhaust gas
methodology
model
reference value
urban area
description We present an air monitoring site selection procedure to determine the minimum number and location of monitoring stations to identify the occurrence of background concentrations greater than a reference value in an urban area. The objective technique reported here is based on the analysis of concentrations estimated using an urban dispersion model for at least one year of hourly information. As an example, we applied the proposed methodology to NO x emissions in the city of Copenhagen (Denmark). We used the urban dispersion model DAUMOD to obtain horizontal distribution of hourly background concentrations. We obtained that two monitors would be able to identify 97% of the cases with hourly concentrations greater than 0.20 mg/m 3 and 95.2% of cases with daily mean concentration greater than 0.12 mg/m 3. We found that the differences on network design due to inter-annual variability of atmospheric conditions were less than 5% of the cases of interest.
author Venegas, Laura Esperanza
Mazzeo, Nicolás Antonio
author_facet Venegas, Laura Esperanza
Mazzeo, Nicolás Antonio
author_sort Venegas, Laura Esperanza
title Design methodology for background air pollution monitoring site selection in an urban area
title_short Design methodology for background air pollution monitoring site selection in an urban area
title_full Design methodology for background air pollution monitoring site selection in an urban area
title_fullStr Design methodology for background air pollution monitoring site selection in an urban area
title_full_unstemmed Design methodology for background air pollution monitoring site selection in an urban area
title_sort design methodology for background air pollution monitoring site selection in an urban area
publishDate 2003
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09574352_v20_n1-6_p185_Venegas
http://hdl.handle.net/20.500.12110/paper_09574352_v20_n1-6_p185_Venegas
work_keys_str_mv AT venegaslauraesperanza designmethodologyforbackgroundairpollutionmonitoringsiteselectioninanurbanarea
AT mazzeonicolasantonio designmethodologyforbackgroundairpollutionmonitoringsiteselectioninanurbanarea
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