{"id":989728,"date":"2022-11-22T00:21:20","date_gmt":"2022-11-22T03:21:20","guid":{"rendered":"https:\/\/biogroup.com.ar\/air-pollutants\/"},"modified":"2026-05-19T07:31:14","modified_gmt":"2026-05-19T10:31:14","slug":"air-pollutants","status":"publish","type":"page","link":"https:\/\/biogroup.com.ar\/en\/air-pollutants\/","title":{"rendered":"Air Pollutants"},"content":{"rendered":"\t\t
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<\/div>\n
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\n \ud83c\udf2b\ufe0f AERMOD \u00b7 AERMET \u00b7 Odours \u00b7 PM10 \u00b7 PM2.5 \u00b7 SOx \u00b7 NOx \u00b7 EIA \u00b7 EPA \u00b7 Ley 24.051\n <\/div>\n

\n Air Pollutants & Dispersion Modelling<\/span>\n <\/h1>\n

\n Atmospheric dispersion studies for EIA, permit compliance and odour management\n \u2014 using EPA AERMOD, the international regulatory standard model.\n <\/p>\n

\n Biogroup applies AERMOD<\/strong> (the US EPA preferred\n regulatory model since 2005) to predict the atmospheric dispersion of industrial\n emissions from point, area and volume sources \u2014 modelling ground-level\n concentrations of criteria pollutants, toxic air\n contaminants and odorous compounds<\/strong> and comparing results against\n Argentine Ley 24.051 \/ Decree 831\/93 Table 11 air quality standards and\n WHO guidelines.\n <\/p>\n

\n With the help of mathematical dispersion models it is possible to calculate\n the reach of a toxic cloud from an industrial chimney \u2014 allowing determination of\n the probability of exposure and the severity of health impacts on the surrounding\n population before any incident occurs.\n <\/p>\n

\n
AERMOD \/ AERMET<\/div>\n
EPA regulatory standard<\/div><\/div>\n
Odour modelling<\/div>\n
D\/T \u00b7 ou\/m\u00b3 \u00b7 exceedance<\/div><\/div>\n
EIA support<\/div>\n
Baseline \u00b7 impact \u00b7 mitigation<\/div><\/div>\n
+35 years<\/div>\n
Air quality expertise<\/div><\/div>\n <\/div>\n <\/div>\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\ud83c\udfed<\/div>\n
\n EIA and permit compliance<\/div>\n
Atmospheric dispersion\n studies for Environmental Impact Assessment (EIA) submissions and operating\n permit compliance \u2014 demonstrating that ground-level concentrations will not exceed\n Ley 24.051 Table 11 air quality guidelines at sensitive receptors.<\/div>\n <\/div>\n
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\ud83d\udc43<\/div>\n
\n Odour impact assessment<\/div>\n
Modelling of odorous\n compounds from animal facilities, agro-industrial plants, wastewater treatment\n and composting operations \u2014 predicting odour exceedance frequency at sensitive\n receptors for regulatory approval and community complaint response.<\/div>\n <\/div>\n
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\u2620\ufe0f<\/div>\n
\n Toxic air contaminant studies<\/div>\n
Determination of\n ground-level concentrations of toxic air contaminants (TACs) \u2014 assessing the\n cancer and non-cancer health risk to the surrounding population from chronic\n industrial air emissions.<\/div>\n <\/div>\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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<\/div>\n AERMOD \u2014 the EPA regulatory dispersion model<\/span>\n
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\n AERMOD \u2014 AMS\/EPA Regulatory Model Improvement Committee (AERMIC) Dispersion Model<\/div>\n
\n The US EPA preferred regulatory model \u00b7 EPA 40 CFR Part 51 \u00b7 global standard since 2005<\/div>\n <\/div>\n
\n

\n AERMOD is a steady-state Gaussian plume model that incorporates boundary layer\n theory, including the treatment of both surface and elevated sources, as well\n as simple and complex terrain. It is the US EPA preferred model for near-field\n applications (50 km or less) and the international regulatory standard for\n industrial source impact assessment studies.<\/p>\n

\n\n
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\n \ud83d\udcca AERMOD \u2014 Dispersion model<\/div>\n
\n Steady-state Gaussian plume \u00b7 planetary boundary layer (PBL) parameterisation \u00b7\n surface and elevated source handling \u00b7 simple and complex terrain \u00b7\n point, area, volume and line sources \u00b7 fumigation \u00b7 building downwash (PRIME)\n <\/div>\n <\/div>\n\n
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\n \ud83c\udf21\ufe0f AERMET \u2014 Meteorological processor<\/div>\n
\n Processes hourly surface and upper-air observations to derive PBL parameters\n (Monin-Obukhov length, mixing height, friction velocity, convective velocity scale)\n required by AERMOD \u00b7 1\u201310 years of local meteorological data\n <\/div>\n <\/div>\n\n
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\n \ud83d\uddfa\ufe0f AERMAP \u2014 Terrain processor<\/div>\n
\n Digital elevation model (DEM) processing to characterise site terrain \u00b7\n source and receptor elevation extraction \u00b7 complex terrain modelling\n with hill-height scale computation\n <\/div>\n <\/div>\n\n <\/div>\n
\n
\n AERMOD vs ISCST3:<\/strong> AERMOD replaced ISCST3\n as the EPA preferred model in 2005. Biogroup uses AERMOD for all new studies \u2014\n the only model accepted by Argentine environmental authorities (SAyDS, provincial\n agencies) for regulatory submissions.<\/div>\n <\/div>\n <\/div>\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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<\/div>\n Air pollutants \u2014 classification, physical state and health significance<\/span>\n
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\n The scientific framework \u2014 understanding what is being modelled<\/div>\n
\n Air pollution is defined as the presence in the atmosphere of contaminants that alter\n its composition and affect any ecosystem component. Accurate dispersion modelling\n requires understanding the physical and chemical properties of each pollutant \u2014\n because they determine the source term, transformation reactions and health impact\n thresholds used in the model.<\/div>\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\ud83c\udfed Criteria pollutants (primary)<\/div>\n <\/div>\n
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\n \u2022 SO\u2082<\/strong> \u2014 Sulphur dioxide: combustion of sulphur-containing fuels \u00b7\n Ley 24.051 Table 8 annual and 24h standards
\n \u2022 NO\u2093<\/strong> \u2014 Nitrogen oxides: high-temperature combustion \u00b7 precursor\n to O\u2083 and fine particulate matter (PM2.5)
\n \u2022 CO<\/strong> \u2014 Carbon monoxide: incomplete combustion \u00b7 8h and 1h standards
\n \u2022 PM10<\/strong> \u2014 Inhalable particles \u226410 \u00b5m \u00b7 penetrate to bronchi and bronchioles
\n \u2022 PM2.5<\/strong> \u2014 Fine particles \u22642.5 \u00b5m \u00b7 reach alveoli \u00b7 cross alveolar-capillary\n barrier into bloodstream \u00b7 transport to remote organs
\n \u2022 Pb<\/strong> \u2014 Lead: smelters, battery recycling \u00b7 quarterly standards\n <\/div>\n <\/div>\n <\/div>\n\n
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\u2697\ufe0f Secondary pollutants & photochemistry<\/div>\n <\/div>\n
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\n \u2022 Ozone (O\u2083)<\/strong> \u2014 formed from NO\u2093 + VOC + UV radiation \u00b7\n photochemical smog precursors \u00b7 8h ozone standard
\n \u2022 Sulphuric acid mist (H\u2082SO\u2084)<\/strong> \u2014 formed from SO\u2082 oxidation \u00b7\n acid deposition
\n \u2022 Nitric acid (HNO\u2083)<\/strong> \u2014 from NO\u2093 oxidation \u00b7 acid rain component
\n \u2022 Secondary PM2.5<\/strong> \u2014 formed from SO\u2082\/NO\u2093\/VOC in-atmosphere reactions \u00b7\n sulphate and nitrate aerosols \u00b7 regional transport
\n \u2022 PAHs on particles<\/strong> \u2014 benzo(a)pyrene as carcinogen marker\n <\/div>\n <\/div>\n <\/div>\n\n
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\u2620\ufe0f Toxic air contaminants (TACs)<\/div>\n <\/div>\n
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\n \u2022 Benzene<\/strong> \u2014 human carcinogen (IARC 1) \u00b7 petrol stations, refineries
\n \u2022 Formaldehyde<\/strong> \u2014 human carcinogen \u00b7 combustion, resins
\n \u2022 1,3-Butadiene<\/strong> \u2014 rubber manufacturing
\n \u2022 Acetaldehyde<\/strong> \u2014 combustion of ethanol fuels
\n \u2022 Dioxins\/Furans (PCDD\/PCDF)<\/strong> \u2014 incinerators, fires
\n \u2022 Heavy metals<\/strong> \u2014 Hg, As, Cd, Pb, Ni, Cr(VI) from industrial stacks
\n \u2022 HCl \u00b7 HF<\/strong> \u2014 acid gas emissions from industrial processes
\n \u2022 H\u2082S<\/strong> \u2014 sewage, anaerobic processes \u00b7 odour + toxicity\n <\/div>\n <\/div>\n <\/div>\n\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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<\/div>\n Particulate matter \u2014 the most critical regulated pollutant<\/span>\n
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\n Why particle size determines health impact \u2014 the respiratory deposition mechanism<\/div>\n
\n Size governs where particles deposit in the respiratory tract \u2014 and therefore what\n health effect they cause. This is why PM10 and PM2.5 have separate regulatory standards.<\/div>\n <\/div>\n
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>10 \u00b5m<\/div>
Nose and upper airway<\/div>
Filtered by nasal hairs. Deposited in nasal cavity. Minimal lung penetration.<\/div><\/div>
2.5\u201310 \u00b5m (PM10)<\/div>
Trachea, bronchi, bronchioles<\/div>
\"Respirable\" fraction. Penetrates to conducting airways. Cleared by mucociliary escalator. Causes bronchitis and asthma exacerbation.<\/div><\/div>
\u22642.5 \u00b5m (PM2.5)<\/div>
Terminal bronchioles and alveoli<\/div>
\"Fine particles\". Reach the gas-exchange surface. Engulfed by alveolar macrophages. Cross alveolar-capillary barrier into the bloodstream. Transported to heart, brain and remote organs.<\/div><\/div>
\u22640.1 \u00b5m (UFP)<\/div>
Alveoli \u2192 systemic circulation<\/div>
Ultrafine particles. Maximum penetration. Highest surface area\/mass ratio. Carry adsorbed PAHs, metals and organic compounds to remote organs.<\/div><\/div>\n <\/div>\n
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\n Particles may contain organic compounds<\/strong>\n (polycyclic aromatic hydrocarbons, PAHs including benzo(a)pyrene) and inorganic\n compounds (heavy metals: Pb, As, Cd, Ni). These attached compounds enter the\n systemic circulation through the PM2.5 carrier mechanism \u2014 extending the health\n impact beyond the respiratory system.<\/div>\n <\/div>\n <\/div>\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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<\/div>\n Dispersion modelling services \u2014 what Biogroup models<\/span>\n
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\ud83c\udfed Industrial point source modelling<\/div>\n
\n AERMOD \u00b7 stack emissions \u00b7 ground-level concentrations \u00b7 isoconcentration maps<\/div>\n <\/div>\n
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\n Prediction of ground-level concentrations from industrial chimney emissions\n for all averaging periods \u2014 1h, 8h, 24h and annual \u2014 at all receptors in the\n area of influence. Results compared against Ley 24.051 Table 11 and Table 8\n air quality standards and WHO guidelines.<\/div>\n
\n \u2713 Petroleum refining \u00b7 power generation \u00b7 cement and lime \u00b7 metallurgy
\n \u2713 Chemical and petrochemical \u00b7 fertilisers \u00b7 incinerators
\n \u2713 Multiple source stacks \u2014 simultaneous impact assessment
\n \u2713 Building downwash with PRIME algorithm
\n \u2713 Seasonal and annual averaging periods\n <\/div>\n <\/div>\n <\/div>\n\n
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\ud83d\udc43 Odour impact modelling<\/div>\n
\n AERMOD \u00b7 ou\/m\u00b3 \u00b7 D\/T \u00b7 exceedance frequency \u00b7 annoyance thresholds<\/div>\n <\/div>\n
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\n Odour modelling requires a specialised approach \u2014 because the critical metric\n is not the maximum concentration but the frequency<\/em> at which the odour\n detection threshold is exceeded at a receptor. Biogroup models odour impact\n expressed in Odour Units (ou\/m\u00b3) per EN 13725, calculating exceedance frequency\n as a percentage of hours per year.<\/div>\n
\n \u2713 Agro-industrial plants \u00b7 feedlots \u00b7 composting \u00b7 biogas facilities
\n \u2713 Wastewater treatment plants \u00b7 landfills \u00b7 rendering plants
\n \u2713 H\u2082S \u00b7 NH\u2083 \u00b7 mercaptans \u00b7 reduced sulphur compounds
\n \u2713 Exceedance frequency at community receptors
\n \u2713 Buffer distance determination for permitting\n <\/div>\n <\/div>\n <\/div>\n\n
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\u2620\ufe0f Toxic plume modelling<\/div>\n
\n TAC health risk \u00b7 cancer risk \u00b7 non-cancer HQ \u00b7 chronic exposure<\/div>\n <\/div>\n
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\n Chronic risk assessment from industrial air toxic emissions \u2014 modelling annual\n average ground-level concentrations and applying cancer potency factors\n (inhalation unit risk, IUR) and non-cancer reference concentrations (RfC)\n per EPA IRIS to calculate individual cancer risk and hazard quotients\n at all receptor locations.<\/div>\n
\n \u2713 Hazardous air pollutants (HAPs) \u00b7 NESHAP facilities
\n \u2713 Cancer risk mapping (ILCR 10\u207b\u2076 and 10\u207b\u2075 risk contours)
\n \u2713 Non-cancer HQ maps by organ system
\n \u2713 Cumulative multi-pathway risk assessment\n <\/div>\n <\/div>\n <\/div>\n\n
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\ud83c\udf33 Fugitive dust and area sources<\/div>\n
\n Area source \u00b7 volume source \u00b7 open pit \u00b7 unpaved road \u00b7 construction<\/div>\n <\/div>\n
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\n Modelling of PM10 and PM2.5 from diffuse sources that cannot be captured in\n a stack \u2014 unpaved roads, open storage piles, mining and quarrying operations,\n construction sites, grain handling. AERMOD area and volume source\n algorithms with AP-42 emission factor development.<\/div>\n
\n \u2713 Construction dust impact assessment
\n \u2713 Open mine and quarry dust modelling
\n \u2713 Grain and fertiliser handling PM10\/PM2.5
\n \u2713 AP-42 fugitive dust emission factor development\n <\/div>\n <\/div>\n <\/div>\n\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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<\/div>\n Atmospheric dispersion study workflow<\/span>\n
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\n A complete atmospheric dispersion study follows a systematic process from\n meteorological data acquisition through to the final impact assessment report\n with concentration maps.<\/p>\n

\n
\n
1<\/div>\n
Emission characterisation<\/div>\n
Stack parameters (height, diameter, exit velocity, temperature, flow rate) and pollutant mass emission rates \u2014 from stack test data, process information or emission factor calculations (AP-42).<\/div><\/div>\n <\/div>
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2<\/div>\n
Meteorological data processing with AERMET<\/div>\n
1\u201310 years of hourly surface and upper-air observations from the nearest representative station. AERMET derives boundary layer parameters (mixing height, Monin-Obukhov length, friction velocity) for each hour.<\/div><\/div>\n <\/div>
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3<\/div>\n
Terrain processing with AERMAP<\/div>\n
Digital elevation model (DEM) processing to extract terrain elevations at all source and receptor locations. Critical for sites in complex terrain.<\/div><\/div>\n <\/div>
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4<\/div>\n
Receptor grid definition<\/div>\n
Cartesian or polar grid of discrete receptors surrounding the facility, with higher density near the fence line and at sensitive receptor locations (schools, hospitals, residential areas).<\/div><\/div>\n <\/div>
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5<\/div>\n
AERMOD dispersion modelling<\/div>\n
Multi-year simulation for all source-receptor combinations. Output: pollutant concentration at each receptor for all averaging periods (1h, 8h, 24h, annual).<\/div><\/div>\n <\/div>
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6<\/div>\n
Results analysis and report<\/div>\n
Comparison against regulatory standards \u00b7 isoconcentration maps \u00b7 identification of maximum impact receptors \u00b7 exceedance analysis \u00b7 mitigation recommendations.<\/div><\/div>\n <\/div>\n <\/div>\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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<\/div>\n Air quality standards \u2014 Argentine and international benchmarks<\/span>\n
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\n Reference values applied in Biogroup dispersion study reports<\/div>\n <\/div>\n
\n
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\ud83c\udde6\ud83c\uddf7 Argentine standards<\/div>\n
\n \u2022 Ley 24.051<\/strong> \/ Decree 831\/93
\n \u2022 Table 8<\/strong> \u2014 ambient air quality standards
\n \u2022 Table 11<\/strong> \u2014 emission limits from point sources
\n \u2022 Resolution SMA Santa Fe<\/strong>
\n \u2022 Provincial: OPDS Buenos Aires \u00b7 C\u00f3rdoba regulations\n <\/div>\n <\/div>\n
\n
\ud83c\udf0d WHO Guidelines (2021)<\/div>\n
\n \u2022 PM2.5:<\/strong> 5 \u00b5g\/m\u00b3 annual \u00b7 15 \u00b5g\/m\u00b3 24h
\n \u2022 PM10:<\/strong> 15 \u00b5g\/m\u00b3 annual \u00b7 45 \u00b5g\/m\u00b3 24h
\n \u2022 NO\u2082:<\/strong> 10 \u00b5g\/m\u00b3 annual \u00b7 25 \u00b5g\/m\u00b3 24h
\n \u2022 SO\u2082:<\/strong> 40 \u00b5g\/m\u00b3 24h
\n \u2022 O\u2083:<\/strong> 100 \u00b5g\/m\u00b3 peak season daily 8h\n <\/div>\n <\/div>\n
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\ud83c\uddfa\ud83c\uddf8 EPA NAAQS<\/div>\n
\n \u2022 PM2.5:<\/strong> 9 \u00b5g\/m\u00b3 annual \u00b7 35 \u00b5g\/m\u00b3 24h
\n \u2022 PM10:<\/strong> 150 \u00b5g\/m\u00b3 24h
\n \u2022 NO\u2082:<\/strong> 100 \u00b5g\/m\u00b3 annual \u00b7 189 \u00b5g\/m\u00b3 1h
\n \u2022 SO\u2082:<\/strong> 75 ppb 1h \u00b7 0.5 ppm 3h secondary
\n \u2022 O\u2083:<\/strong> 70 ppb 8h \u00b7 CO:<\/strong> 9 ppm 8h\n <\/div>\n <\/div>\n <\/div>\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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<\/div>\n Applications \u2014 when a dispersion study is required<\/span>\n
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\ud83d\udccb<\/div>
Environmental Impact Assessment<\/div>
Atmospheric chapter of EIA for new industrial facilities \u2014 demonstrating compliance with air quality standards at the nearest sensitive receptors before construction approval.<\/div><\/div>
\ud83c\udfed<\/div>
Operating permit renewal<\/div>
Demonstration that current emissions are not causing exceedances of ambient air quality standards or causing significant impact beyond the facility boundary.<\/div><\/div>
\ud83d\udc43<\/div>
Odour complaint response<\/div>
Modelling to identify the emission source responsible for community odour complaints \u2014 and to demonstrate the impact of proposed mitigation measures.<\/div><\/div>
\ud83c\udfd7\ufe0f<\/div>
New source siting<\/div>
Selection of optimal stack height, location and design parameters to minimise ground-level impact. Stack height optimisation studies.<\/div><\/div>
\u2696\ufe0f<\/div>
Environmental litigation<\/div>
Defensible dispersion modelling results for expert witness use in disputes about industrial air quality impacts on neighbouring properties.<\/div><\/div>
\ud83c\udf0d<\/div>
IFC\/World Bank projects<\/div>
Atmospheric dispersion modelling to IFC EHS Guidelines performance standards for project finance transactions.<\/div><\/div>\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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<\/div>\n Official registrations<\/span>\n
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Provincial registry<\/div>\n
Official Registry of Environmental Consultants, Experts and Expert Witnesses<\/div>\n
Province of Santa Fe, Argentina<\/div>\n <\/div>\n
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Ministerial registry<\/div>\n
Registry of Environmental Impact Assessment Consultants<\/div>\n
Ministry of Environment, Argentina<\/div>\n <\/div>\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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<\/div>\n Related services<\/span>\n
<\/div>\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\ud83c\udf21\ufe0f Air Quality Monitoring \u2192<\/div>
Ambient monitoring \u00b7 PM10 \u00b7 PAHs \u00b7 14+ days autonomous<\/div><\/a>
\ud83c\udfed Stack Emissions \u2192<\/div>
EPA methods 2\u2013429 \u00b7 isokinetic \u00b7 dioxins\/furans<\/div><\/a>
\ud83d\udd25 Risk Analysis \u2192<\/div>
HAZOP \u00b7 QRA \u00b7 toxic release \u00b7 BLEVE \u00b7 Res. 306\/2014<\/div><\/a>
\ud83c\udf10 Dispersion Models \u2192<\/div>
AERMOD modelling service page<\/div><\/a>\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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<\/div>\n
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\n AERMOD \u00b7 AERMET \u00b7 Odours \u00b7 PM10 \u00b7 PM2.5 \u00b7 EIA \u00b7 EPA \u00b7 Ley 24.051\n <\/div>\n
\n Need an atmospheric dispersion study?<\/div>\n
\n From a single-source EIA stack impact assessment to a multi-pollutant cumulative\n impact study with odour modelling \u2014 Biogroup provides AERMOD-based dispersion\n studies accepted by Argentine and international environmental authorities.\n <\/div>\n \n Request a dispersion study \u2192<\/a>\n
\n \ud83d\udcde +54 341 425-6431<\/span>\n \ud83d\udcde +54 341 447-4486<\/span>\n \u2709 biogroup@biogroup.com.ar<\/span>\n \ud83d\udccd 3 de febrero 920 \u00b7 Rosario, Argentina<\/span>\n Mon\u2013Fri 08:00\u201317:00<\/span>\n <\/div>\n <\/div>\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

🌫️ AERMOD \u00b7 AERMET \u00b7 Odours \u00b7 PM10 \u00b7 PM2.5 \u00b7 SOx \u00b7 NOx \u00b7 EIA \u00b7 EPA \u00b7 Ley 24.051 Air Pollutants & Dispersion Modelling Atmospheric dispersion studies for EIA, permit compliance and odour management \u2014 using EPA AERMOD, the international regulatory standard model. Biogroup applies AERMOD (the US EPA preferred regulatory model since…<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"inline_featured_image":false,"_joinchat":[],"footnotes":""},"class_list":["post-989728","page","type-page","status-publish","hentry"],"yoast_head":"\nAir Pollutants - BioGroup<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/biogroup.com.ar\/en\/air-pollutants\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Air Pollutants - BioGroup\" \/>\n<meta property=\"og:description\" content=\"🌫️ AERMOD \u00b7 AERMET \u00b7 Odours \u00b7 PM10 \u00b7 PM2.5 \u00b7 SOx \u00b7 NOx \u00b7 EIA \u00b7 EPA \u00b7 Ley 24.051 Air Pollutants & Dispersion Modelling Atmospheric dispersion studies for EIA, permit compliance and odour management \u2014 using EPA AERMOD, the international regulatory standard model. 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