Practical use of the ISCST3 model to select monitoring site locations for air pollution control

We present an objective methodology for selection of the minimum number of sampling sites required to register the highest concentration values of air pollutants emitted from a continuous point source. The methodology is based on the analysis of 1 hour concentration values above a threshold value es...

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Autores principales: Mazzeo, N.A., Venegas, L.E.
Formato: JOUR
Materias:
Atmospheric dispersion model
Air quality
Dispersions
Environmental engineering
Mathematical models
Meteorology
Air pollution control
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_09574352_v14_n1-6_p246_Mazzeo
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Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_09574352_v14_n1-6_p246_Mazzeo
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spelling todo:paper_09574352_v14_n1-6_p246_Mazzeo2023-10-03T15:52:29Z Practical use of the ISCST3 model to select monitoring site locations for air pollution control Mazzeo, N.A. Venegas, L.E. Atmospheric dispersion model Air quality Dispersions Environmental engineering Mathematical models Meteorology Air pollution control We present an objective methodology for selection of the minimum number of sampling sites required to register the highest concentration values of air pollutants emitted from a continuous point source. The methodology is based on the analysis of 1 hour concentration values above a threshold value estimated by atmospheric dispersion models. The number and location of the air monitoring stations are determined according to the likelihood that a station can measure high concentration values in accordance with model results. The efficiency of the monitoring network design depends on the accuracy of the considered dispersion model, a low interannual variability of atmospheric conditions and the number of samplers. Following a brief description of the methodology we detail an application to design an air monitoring network. We apply the ISCST3 atmospheric dispersion model to a point source emission, considering one year of hourly meteorological data. In this example, an approximated value of the efficiency of the network design is 0.475 at best. An objective method for selecting the number and location of air-monitoring stations to measure 1-h high-concentration values of an air pollutant emitted from a single stack is presented, which utilizes the Industrial Source Complex Short Time Dispersion model (ISCST3) and 1 yr of meteorological data over 1-h intervals. The method requires the distribution of the frequency of hourly concentration values higher than a threshold value, which could be the air-quality standard or another selected value. The network accuracy is necessarily related to the model bias in the estimation of the highest concentration values. The methodology is illustrated for an industrial plant with a 43-m high stack, a diameter of 6 m, a stack-gas exit velocity of 16 m/s, a stack-gas temperature of 400 K, and a nitrogen dioxide emission rate of 60 g/s. (from Fifth Workshop on Harmonization Within Atmospheric Modelling for Regulatory Purposes, Rhodes, Greece (May 18-21, 98)). JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_09574352_v14_n1-6_p246_Mazzeo
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Atmospheric dispersion model
Air quality
Dispersions
Environmental engineering
Mathematical models
Meteorology
Air pollution control
spellingShingle Atmospheric dispersion model
Air quality
Dispersions
Environmental engineering
Mathematical models
Meteorology
Air pollution control
Mazzeo, N.A.
Venegas, L.E.
Practical use of the ISCST3 model to select monitoring site locations for air pollution control
topic_facet Atmospheric dispersion model
Air quality
Dispersions
Environmental engineering
Mathematical models
Meteorology
Air pollution control
description We present an objective methodology for selection of the minimum number of sampling sites required to register the highest concentration values of air pollutants emitted from a continuous point source. The methodology is based on the analysis of 1 hour concentration values above a threshold value estimated by atmospheric dispersion models. The number and location of the air monitoring stations are determined according to the likelihood that a station can measure high concentration values in accordance with model results. The efficiency of the monitoring network design depends on the accuracy of the considered dispersion model, a low interannual variability of atmospheric conditions and the number of samplers. Following a brief description of the methodology we detail an application to design an air monitoring network. We apply the ISCST3 atmospheric dispersion model to a point source emission, considering one year of hourly meteorological data. In this example, an approximated value of the efficiency of the network design is 0.475 at best. An objective method for selecting the number and location of air-monitoring stations to measure 1-h high-concentration values of an air pollutant emitted from a single stack is presented, which utilizes the Industrial Source Complex Short Time Dispersion model (ISCST3) and 1 yr of meteorological data over 1-h intervals. The method requires the distribution of the frequency of hourly concentration values higher than a threshold value, which could be the air-quality standard or another selected value. The network accuracy is necessarily related to the model bias in the estimation of the highest concentration values. The methodology is illustrated for an industrial plant with a 43-m high stack, a diameter of 6 m, a stack-gas exit velocity of 16 m/s, a stack-gas temperature of 400 K, and a nitrogen dioxide emission rate of 60 g/s. (from Fifth Workshop on Harmonization Within Atmospheric Modelling for Regulatory Purposes, Rhodes, Greece (May 18-21, 98)).
format JOUR
author Mazzeo, N.A.
Venegas, L.E.
author_facet Mazzeo, N.A.
Venegas, L.E.
author_sort Mazzeo, N.A.
title Practical use of the ISCST3 model to select monitoring site locations for air pollution control
title_short Practical use of the ISCST3 model to select monitoring site locations for air pollution control
title_full Practical use of the ISCST3 model to select monitoring site locations for air pollution control
title_fullStr Practical use of the ISCST3 model to select monitoring site locations for air pollution control
title_full_unstemmed Practical use of the ISCST3 model to select monitoring site locations for air pollution control
title_sort practical use of the iscst3 model to select monitoring site locations for air pollution control
url http://hdl.handle.net/20.500.12110/paper_09574352_v14_n1-6_p246_Mazzeo
work_keys_str_mv AT mazzeona practicaluseoftheiscst3modeltoselectmonitoringsitelocationsforairpollutioncontrol
AT venegasle practicaluseoftheiscst3modeltoselectmonitoringsitelocationsforairpollutioncontrol
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