Guidance Document. Plume Dispersion Modelling GD-PPD Guideline for Plume Dispersion Modelling

Size: px
Start display at page:

Download "Guidance Document. Plume Dispersion Modelling GD-PPD Guideline for Plume Dispersion Modelling"

Transcription

1 Government of Newfoundland and Labrador Department of Environment & Conservation Pollution Prevention Division (Environment) Guidance Document Title: Guideline for Plume Dispersion Modelling Prepared By: Barrie Lawrence, Environmental Scientist Issue Date: June 10, st Revision: November 20, 2006 Approved By: Derrick Maddocks, Director Plume Dispersion Modelling GD-PPD-019.1

2 Table of Contents SUBJECT... 3 OBJECTIVE... 3 BACKGROUND... 3 DEFINITIONS APPROVED MODELS CALPUFF MODELLING SYSTEM - OVERVIEW AERMOD MODELLING SYSTEM - OVERVIEW US EPA SCREEN3 MODEL - OVERVIEW SCREEN3 MODEL - SPECIAL CIRCUMSTANCES AERMOD MODELLING SYSTEM - SPECIAL CIRCUMSTANCES POLLUTANTS TO BE MODELLED AVERAGING PERIODS TO BE MODELLED NO X VS NO NO X FORMATION AND PRIMARY CONTROL NO X FROM INDUSTRIAL SOURCES BASIC NO x CHEMISTRY IN THE ATMOSPHERE NO DISPERSION MODELLING INTERPRETATION GUIDANCE AERMOD MODELLING SYSTEM - MODELLING PROVISIONS AERMET AERMAP AERMOD CALPUFF MODELLING SYSTEM - MODELLING PROVISIONS CALMET CALPUFF CALPOST REPORTING BPIP REFERENCES

3 SUBJECT The plume dispersion modelling methods approved by the department for the purpose of determining compliance with the ambient air quality standards in the Air Pollution Control Regulations. OBJECTIVE To define the terms and conditions that proponents are to follow when conducting an air quality assessment of a facility in Newfoundland and Labrador. In so doing, the department ensures that the quality of all results obtained and submitted to the department are complete and consistent across all facilities and employ the latest advances in modelling technology. BACKGROUND Under the Air Pollution Control Regulations, the ambient air quality standards are defined for a series of contaminants. These standards define levels that the Minister deems to be acceptable for the protection of the environment, including human life, wildlife and vegetation. By their very nature, the ambient air quality standards are based on the emissions from all potential sources within an airshed. For some pollutants, such as sulphur dioxide, the number of potential sources in an airshed contributing to the concentrations in ambient air would be limited due to the chemistry involved in the formation of sulphur dioxide. For other pollutants, such as particulate matter, the number of potential sources in an airshed can be quite large, and difficult to assign to any particular source. To determine the ambient levels of a particular pollutant, typically a series of monitors are located within the airshed. If the level of a pollutant exceeds the corresponding ambient air quality standard, then by Section 3 of the Air Pollution Control Regulations, the Minister can specify conditions in an approval or develop an air quality management plan for the airshed. However, it is often the case that in an airshed which includes major industrial operations, the series of monitors do not record an ambient concentration in excess of the associated standard, yet an exceedance of the ambient air standard was likely to have occurred in an area where a monitor was not located. To address compliance with the ambient standards, the Department of Environment and Conservation developed guidance document GD-PPD Compliance Determination. 3

4 In that guidance document, compliance is to be determined by a registered dispersion model, or more specifically, in accordance with the terms and conditions of this particular Guidance Document. For this 1 st revision, numerous conditions were adjusted to account for model updates and improved algorithms in the approved models and associated preprocessors. As well, various usage conditions were modified to account for new technologies. This revision also incorporates, in Section 9, the provisions of Guidance Document GD- PPD-029 NO x Modelling Results, and as such, that Guidance Document is hereby rescinded. DEFINITIONS In this guidance document: (a) (b) (c) (d) (e) administrative boundary means the boundary, as defined in a Certificate of Approval, for the administration of the Air Pollution Control Regulations. AAERMOD modelling system@ means the modelling system developed by United States Environmental Protection Agency (US EPA) in conjunction with the American Meteorological Society (AMS) and includes the AERMET meteorological preprocessor, the AERMAP terrain preprocessor, and the AERMOD dispersion model; Aair contaminant@ means any discharge, release, or other propagation into the air and includes, but is not limited to, dust, fumes, mist, smoke, particulate matter, vapours, gases, odours, odorous substances, acids, soot, grime or any combination of them; ACALPUFF modelling system@ means the modelling system developed by scientists at the Atmospheric Studies Group and includes the CALMET meteorological preprocessor, the CALPUFF dispersion model, the CALPOST postprocessor, and associated preprocessing programs; Adepartment@ means the Department of Environment and Conservation and it=s successors; 4

5 1. APPROVED MODELS For all regulatory applications, the CALPUFF modelling system is approved, subject to the terms and conditions outlined in Section 11. Under special circumstances outlined in Sections 5 and 6, and with the prior approval of the department, the US EPA model SCREEN3 and the AERMOD modelling system, may be approved for regulatory applications. If a circumstance exists where the CALPUFF modelling system, or alternatively the AERMOD modelling system or the SCREEN3 model is not appropriate, the department will review, on a case by case basis, the appropriateness of alternate models and define the terms and conditions under which an alternate model will be employed. 2. CALPUFF MODELLING SYSTEM - OVERVIEW The CALPUFF modelling system includes three main components: CALMET, CALPUFF and CALPOST, and a series of preprocessing programs designed to interface the model with routinely-available meteorological and geophysical datasets. CALMET is a meteorological model that develops hourly wind and temperature fields on a threedimensional gridded modelling domain. Associated two-dimensional fields such as mixing heights, surface characteristics and dispersion properties are also included in the file produced by CALMET. CALPUFF is a transport and dispersion model that advects Apuffs@ of material emitted from modelled sources, simulating dispersion and transformation processes along the way. It typically uses the fields generated by CALMET, or as an option, uses simpler non-gridded meteorological data much like the existing plume models. Temporal and spatial variations in the meteorological fields selected are explicitly incorporated in the resulting distribution of puffs throughout a simulation period. The primary output files from CALPUFF contain either hourly concentrations or hourly deposition fluxes evaluated at selected receptor locations. CALPOST is used to process these files, producing tabulations that summarize the results of the simulation, identifying, for example, the highest and second highest 1-hour average concentrations at each receptor. When performing visibility-related modelling, CALPOST uses concentrations from CALPUFF to compute extinction coefficients and related measures of visibility, reporting these for selected averaging times and location. 1 5

6 3. AERMOD MODELLING SYSTEM - OVERVIEW The AERMOD modelling system includes three main components: AERMET, AERMAP and AERMOD. AERMET is a general purpose meteorological preprocessor for organizing available meteorological data, and requires the input of surface roughness, Bowen ratio and albedo together with morning upper air soundings and hourly observations of wind speed, wind direction, cloud cover and temperature. AERMAP is a terrain preprocessor whose primary purpose is to determine the height scale for each receptor in the modelling domain. AERMOD is a steady-state plume dispersion model for assessment of pollutant concentrations from a variety of sources. AERMOD simulates transport and dispersion from multiple point, area, or volume sources based on an up-to-date characterization of the atmospheric boundary layer. 2,3 4. US EPA SCREEN3 MODEL - OVERVIEW SCREEN3 is a Gaussian plume model that incorporates source-related factors and meteorological factors to estimate pollutant concentration from continuous sources. It assumes that the pollutant does not undergo any chemical reactions, and that no other removal processes, such as wet or dry deposition, act on the plume during its transport from the source. SCREEN3 performs all of the single source, short-term calculations including estimating maximum ground-level concentrations and the distance to the maximum, incorporating the effects of building downwash on the maximum concentrations for both the near wake and far wake regions, estimating concentrations in the cavity recirculation zone, estimating concentrations due to inversion break-up and shoreline fumigation, and determining plume rise for flare releases. SCREEN3 can not explicitly determine maximum impacts from multiple sources SCREEN3 MODEL - SPECIAL CIRCUMSTANCES The SCREEN3 model may be approved for regulatory applications provided the application does not involve situations denoted in Table 5.1 and; 1) has annual emissions, for all pollutants, less than those denoted in Table 5.2; or 2) has annual emissions, for at least one pollutant, in excess of those denoted in Table 5.2, but the department has deemed the use of the model as adequate for the application. 6

7 Table 5.1 Applications where SCREEN3 is not acceptable Multiple sources On-site meteorological data required Terrain elevations vary about the sources Complex fumigation calculations More than 1 downwash structure exists Particulate size fractionation required Table 5.2 Pollutant Annual Emission Limit for using SCREEN3 (kilograms) sulphur dioxide (SO 2 ) 5000 total suspended particulate (TSP) 1000 particulate matter less than 10 microns (PM 10 ) 500 particulate matter less than 2.5 microns (PM 2.5 ) 250 nitrogen oxides (NO x ) 5000 For pollutants not listed in Table 5.2, but where the use of SCREEN3 may otherwise be approved, the department shall determine, on a case by case basis, if SCREEN3 may be applied. If SCREEN3 indicates a potential violation of the Air Pollution Control Regulations or a condition of a Certificate of Approval, then the department may require the use of either the AERMOD modelling system or the CALPUFF modelling system. In such circumstances, the application shall adhere to the provisions of Sections 10 or 11 respectively. Examples of regulatory applications for which SCREEN3 may be approved include: - single source diesel powered electrical generators - space heating of small rectangular buildings - VOC emissions from small autobody shops - single flare oil production wells. 7

8 6. AERMOD MODELLING SYSTEM - SPECIAL CIRCUMSTANCES The AERMOD modelling system, as detailed in Section 10, may be approved for regulatory application if the application does not involve situations denoted in Table 6.1. If an application involves a circumstance denoted in Table 6.1, the application shall adhere to the provisions of the CALPUFF modelling system detailed in Section 11. Should this guidance document require the use of CALPUFF for regulatory application, but the use of the AERMOD modelling system was previously approved by an existing Certificate of Approval, the AERMOD modelling system may be used until the expiration of the Certificate of Approval or is otherwise replaced by another Certificate of Approval. The requirements of this guidance document shall be reflected in any future Certificate of Approval. Table 6.1 Applications where the AERMOD modelling system is not acceptable Long range transport (> 50km) Overwater and coastal interaction effects Temporal analysis required Visibility-related postprocessing Chemical transformations present Subgrid scaling of complex terrain 8

9 7. POLLUTANTS TO BE MODELLED Unless otherwise specified under an approval issued by the department, the minimum number of pollutants to be modelled is listed in Table 7.1. Table 7.1 Pollutant Combustion Sources Non- Combustion Sources sulphur dioxide (SO 2 ) total suspended particulate (TSP) particulate matter less than 10 microns (PM 10 ) particulate matter less than 2.5 microns (PM 2.5 ) nitrogen dioxide (NO 2 ) carbon monoxide (CO) Where other pollutants are deemed by the department to have the potential to exceed the limits established in the Air Pollution Control Regulations or otherwise have an adverse affect on the environment, the department reserves the right to require the modelling of these other pollutants. 8. AVERAGING PERIODS TO BE MODELLED For regulatory applications in which the SCREEN3 model is approved by the department, the averaging period to be modelled for all pollutants denoted in Section 7 is 1 hour. For all other regulatory applications, the averaging periods to be modelled for all pollutants denoted in Section 7 are contained in Table 8.1. Where concentrations are modelled, the results shall be reported in micrograms per cubic metre (µg/m 3 ). Where deposition is modelled, the results shall be reported in micrograms per square metre (µg/m 2 ). The minimum output requirement is the maximum concentration at each receptor for the time frames denoted in Table 8.1 over the meteorological period defined in Sections 10 and 11. 9

10 Table 8.1 Pollutant sulphur dioxide (SO 2 ) Averaging Period 1 hour, 3 hour, 24 hour, annual total suspended particulate (TSP) particulate matter less than 10 microns (PM 10 ) particulate matter less than 2.5 microns (PM 2.5 ) nitrogen dioxide (NO 2 ) carbon monoxide (CO) 1 hour, 24 hour, annual 1 hour, 24 hour 1 hour, 24 hour 1 hour, 24 hour, annual 1 hour, 8 hour Where modelling of other pollutants is required under Section 7, such modelling shall be conducted for the averaging periods specified by the department. 9. NO X VS NO NO X FORMATION AND PRIMARY CONTROL In a combustion process, NO x is produced through 3 mechanisms, namely thermal NO x, fuel NO x and prompt NO x. (a) (b) (c) Thermal NO x is the primary source of NO x and is formed as a high temperature dissociation and subsequent reaction of nitrogen (N 2 ) and oxygen (O 2 ). It is produced in the hottest part of the flame and its formation increases exponentially with the flame temperature. The control of thermal NO x, is generally achieved through reducing the flame temperature, reducing the residence time, or by operating under fuel rich conditions. Fuel NO x is formed by the reaction of nitrogen compounds chemically bound in liquid or solid fuels with oxygen in the combustion air. In the combustion of such fuels, fuel NO x can account for up to 50% of the total NO x emissions. As heavier fuels tend to have higher levels of bound nitrogen, whereas gaseous fuels have minimal bound nitrogen, the principal control of fuel NO x is through conversion to light fuels or gaseous fuels. Prompt NO x is formed from the rapid reaction of atmospheric nitrogen with hydrocarbon radicals, and typically under partially fuel-rich conditions. It can be reduced through combustion staging or by operating under highly oxidizing combustion conditions. 10

11 9.2 NO X FROM INDUSTRIAL SOURCES The main industrial sources of NO x emissions in Newfoundland and Labrador are from the burning of fossil fuels to either generate steam for assorted processes or to generate electricity. In power boilers: (a) (b) (c) NO x formation is primarily through thermal NO x and fuel NO x, with minimal prompt NO x. Thermal NO x formation is dependent on peak temperature, and proportional to the nitrogen concentration in the flame, the oxygen concentration in the flame, and the residence time. Increases in flame temperature, oxygen availability, and/or residence time at high temperatures leads to an increase in NO x production. It is the dominant NO x forming mechanism in units firing distillate oils primarily because of the negligible nitrogen content in these fuels. Fuel nitrogen conversion is the more important NO x forming mechanism in residual oil boilers. The percent conversion of fuel nitrogen to NO x varies, however, typically from 20 to 90 percent of nitrogen in oil is converted to NO x. In gas turbines: (a) (b) (c) (d) (e) NO x formation occurs by all three mechanisms. Thermal NO x, arises from the thermal dissociation and subsequent reaction of nitrogen and oxygen molecules in the combustion air. Most thermal NO x is formed in high temperature stoichiometric flame pockets downstream of the fuel injectors where combustion air has mixed sufficiently with the fuel to produce the peak temperature fuel / air interface. Prompt NO x is formed from early reactions of nitrogen molecules in the combustion air and hydrocarbon radicals from the fuel. It is formed within the flame and is usually negligible when compared to the amount of thermal NO x formed. Fuel NO x, stems from the evolution and reaction of fuel-bound nitrogen compounds with oxygen. Fuel NO x from distillate oil-fired turbines may become significant in turbines equipped with a high degree of thermal NO x controls. The maximum thermal NO x formation occurs at a slightly fuel-lean mixture because of excess oxygen available for reaction. The control of stoichiometry is critical in achieving reductions in thermal NO x. Thermal NO x formation also decreases rapidly as the temperature drops below the 11

12 adiabatic flame temperature for a given stoichiometry. Maximum reduction of thermal NO x can be achieved by control of both the combustion temperature and the stoichiometry. Gas turbines operate with high overall levels of excess air because they use combustion air dilution as the means to maintain the turbine inlet temperature below design limits. In older gas turbines, where combustion is in the form of a diffusion flame, most of the dilution occurs downstream of the primary flame, which does not minimize peak temperature in the flame and suppress NO x formation. In internal combustion engines: (a) NO x formation occurs primarily as thermal NO x which arises from the thermal dissociation and subsequent reaction of nitrogen and oxygen molecules in the combustion air. Most thermal NO x is formed in the hightemperature region of the flame from dissociated molecular nitrogen in the combustion air. Some prompt NO x is formed in the early part of the flame from reaction of nitrogen intermediary species, and hydrocarbon radicals in the flame. Fuel NO x is virtually non existent. 9.3 BASIC NO x CHEMISTRY IN THE ATMOSPHERE In its simplest form, the basic NO x chemistry can be considered a cycle of continual reactions. NO x emissions from a source are typically considered to be a combination of NO and NO 2. As the exhaust leaves the stack and mixes with the ambient air, the NO reacts with ambient ozone (O 3 ) to form NO 2 and O 2. In the presence of ultraviolet radiation from the sun, NO 2 gets broken down into NO and O. O and O 2 react with a third molecule (M) such as O 2 or N 2 to form O 3 and the third molecule. NO + O 3! NO 2 + O 2 NO 2 + µv! NO + O O + O 2 + M! O 3 + M In the presence, of hydrocarbons (HCs), NO may also react to also form NO 2 via the following reaction: NO + HC! NO 2 + HC 9.4 NO 2 NO 2 is the primary component of concern in NO x. NO 2 is a reddish brown gas with a pungent odour, which upon reaction with other atmospheric compounds, becomes a major contributor to smog, acid rain, inhalable particulates and 12

13 reduced visibility. At significant levels and exposure, inhalation may result in irritation and burning to the skin and eyes, nose and throat. Prolonged exposure may result in permanent lung damage. 9.5 DISPERSION MODELLING INTERPRETATION The assumption historically has been that all of the NO x being emitted from a source has been in the form of NO 2. Research, however, has indicated that this approach is conservative and that in reality only a relatively small fraction of the total NO x emissions are in the form of NO 2. Further NO 2 will be produced however, based on the above noted reactions once the NO x plume leaves the stack, the extent to which is largely dependent on the level of O 3 in the atmosphere. Consequently when a source was being modelled for compliance with the Air Pollution Control Regulations, results may have shown noncompliance when in actuality there may have been compliance. The other major contributing factor to the determining the concentration of NO 2 is the lack of actual in-stack emission data which speciates NO x into NO 2 and NO. Both stack sampling programs and combustion equipment manufacturers cite emissions as total NO x, not NO 2 or NO. Consequently there is only a small volume of information readily available to draw upon to determine the baseline emission rates and subsequent atmospheric emission rates. 9.6 GUIDANCE For all applications, the Plume Volume Molar Ratio Method (PVMRM) is the preferred approach to evaluate NO 2 emissions. Where a facility wishes to measure the in-stack ratio of NO 2 / NO x then the department will consider using such data only after a representative sample has been obtained from the facility, or where a representative sample has been obtained from similar facilities. Where a facility wishes to measure the on-site ambient O 3 levels, then the department will consider using such data for evaluation of that facility only. Such in-stack data and/or ambient data shall be obtained using methods acceptable to the department. For the determination of predicted NO 2 concentrations when information on the in-stack emissions of NO and NO 2 are not available, the acceptable in-stack ratios for modelling purposes are listed in Table

14 Table 9.1 Emission Source In-stack NO 2 / NO x ratio Power Boilers 0.1 Compressors and Gas Turbines 0.6 Diesel Power Generating Units 0.2 The acceptable hourly O 3 background concentrations in lieu of on-site measured levels, is 50 ppb (98 µg/m 3 ). It is recognized that AERMOD can accommodate the PVMRM algorithm directly whereas CALPUFF does not at this time. As such, results from CALPUFF will have to be post processed to conform with the PVMRM algorithm. 10. AERMOD MODELLING SYSTEM - MODELLING PROVISIONS When modelling with the AERMOD modelling system, the following minimum specifications shall be required as model inputs: 10.1 AERMET (a) (b) Meteorological data inputs shall consist of observations extracted from twice daily upper air soundings together with hourly surface data from an on-site meteorological station and/or nearest Environment Canada meteorological station. Where sufficient meteorological data from an onsite station is available, a minimum data record of 1 year is required for regulatory applications. Where sufficient meteorological data from an onsite station is not available, then a minimum data record of 3 years is required consisting of on-site data supplemented with data from the nearest Environment Canada meteorological station. Where no on-site data is available, then a minimum data record of 5 years is required from the nearest Environment Canada meteorological station. Data from an Environment Canada meteorological station can be obtained from the Atlantic Climate Centre in Fredericton NB. Upper air sounding data can be obtained from the Atlantic Climate Centre in Fredericton NB, or the National Climatic Data Center (NCDC) in the United States. Data extracted from the twice daily upper air soundings shall extend to the 500 mb level and shall incorporate all sounding levels (mandatory, significant, etc.), including the surface level and 500 mb level. Data to be extracted at each level includes, pressure, altitude, temperature, dew point temperature, wind direction and wind speed. The upper air soundings are to be taken from the most representative upper air station. Where a 14

15 facility is approximately equidistant from 2 or more upper air stations, the choice of the upper air station will be dependent on the direction of the upper air stations from the facility, the terrain elevation of the facility vs the terrain elevation of the upper air station, and the proximity of the facility and upper air station to large water bodies. Table 10.1 provides general guidance on choosing the appropriate upper station. Table 10.1 Location Eastern Newfoundland Central and Western Newfoundland Coastal and Central Labrador Western Labrador Alternate 1 Alternate 2 Upper Air Station St. John s Stephenville Goose Bay La Grande IV Sept Isle Kuujjuaq Latitude / Longitude N W N W N W N W N W N W (c) (d) (e) (f) Sufficient on-site meteorological data includes: wind speed, wind direction, ambient temperature, barometric pressure and opaque cloud cover (or alternatively total cloud cover). Meteorological data from an Environment Canada station shall include: wind speed, wind direction, ambient temperature, barometric pressure, opaque cloud, total cover, ceiling height and relative humidity. Albedo, Bowen ratio and surface roughness may be taken as seasonal values, though monthly is preferred, for a minimum of 4 direction sectors. Each sector shall be representative of the prevalent site characteristics, and need not be equal in dimension. In situations where the site characteristics are not explicitly defined within the generally available literature and tables, pre-approval of the albedo, bowen ratio and surface roughness values is required. All wind directions are to be randomized to 1º, either prior to using AERMET or through the METHOD command in AERMET. Only results from the latest version of AERMET shall be acceptable. As of the date of this guidance document, the version was The department shall be contacted prior to undertaking compliance modelling to confirm the latest acceptable version. 15

16 10.2 AERMAP (a) (b) (c) All applications are required to employ terrain effects, and calculate effects at ground-level. Terrain elevation data shall be extracted from digital elevation mapping available from the Department of Environment and Conservation (Lands Branch), National Resources Canada or Shuttle Radar Topography Mission (SRTM). Terrain elevations shall be extracted from maps scaled to 3 arcseconds or better using UTM (Universal Traverse Mercator) projection, reference ellipsoid NAD83 or WGS84. Terrain receptors shall incorporate a rectangular Cartesian grid coupled with discrete receptors using the UTM coordinate system as noted above. The maximum spacing, on and off property, shall be: 1) 50 m spacing from the centre of the operation out to 500 m, 2) 100 metre spacing from 500 m out to 1000 m, 3) 200 metre spacing from 1000 m out to 2000 m 4) 500 metre spacing beyond 2000 km, 5) 50 metre spacing within all residential areas located less than 1000 m of property s administrative boundary, 6) 100 metre spacing within all residential areas located beyond 1000 m of property s administrative boundary, but located within 2000 m of the property s administrative boundary, 7) 200 metre spacing within all residential areas located beyond 2000 m of property s administrative boundary. Discrete receptors are to be placed along the property s administrative boundary at 20 metre intervals or less. The physical extent of the spacing requirement shall be determined after consultation with the department. (d) (e) For the purposes of the guidance document, the centre of the operation is defined as the location that minimizes the distance from all emitting sources, weighted to the emission rates of the contributing sources. Only results from the latest version of AERMAP shall be acceptable. As of the date of this guidance document, the version was The department shall be contacted prior to undertaking compliance modelling to confirm the latest acceptable version AERMOD (a) Building downwash must be accounted for when it exists. As a general rule of thumb, if a building height is greater than 40% of the source emission height, then there is building downwash. 16

17 (b) Building downwash variables shall be calculated for the Plume Rise Model Enhancements (PRIME) algorithm with the appropriate output variables serving as inputs into AERMOD. These variables are (variable name): 1) direction specific building height (BUILDHGT), 2) direction specific building width (BUILDWID), 3) direction specific along flow building length (BUILDLEN), 4) along flow distance from the stack to centre of upwind face of the projected building (XBADJ), 5) across flow distance from the stack to centre of upwind face of the projected building (YBADJ). (c) (d) (e) (f) The application is to be employed in regulatory default mode. The application is to be employed without flagpole heights. Source emission parameters shall be taken from the most recent stack test conducted in accordance with departmental guidance document GD- PPD If no stack parameters exist, then source inputs to the model shall be made only in consultation with the department. Only results from the latest version of AERMOD shall be acceptable. As of the date of this guidance document, the version was The department shall be contacted prior to undertaking compliance modelling to confirm the latest acceptable version. 11. CALPUFF MODELLING SYSTEM - MODELLING PROVISIONS When modelling with the CALPUFF modelling system, the following minimum specifications shall be required as model inputs: 11.1 CALMET (a) Meteorological data inputs shall consist of observations extracted from twice daily upper air soundings together with hourly surface data from an on-site meteorological station and/or nearest Environment Canada meteorological station. Where sufficient meteorological data from an onsite station is available, a minimum data record of 1 year is required for regulatory applications. Where sufficient meteorological data from an onsite station is not available, then a minimum data record of 2 years is required consisting of on-site data supplemented with data from the nearest Environment Canada meteorological station. Where no on-site data is available, then a minimum data record of 3 years is required from the nearest Environment Canada meteorological station. Data from an Environment Canada meteorological station can be obtained from the 17

18 Atlantic Climate Centre in Fredericton NB. Upper air sounding data can be obtained from the Atlantic Climate Centre in Fredericton NB, or the National Climatic Data Center (NCDC) in the United States. (b) Data extracted from the twice daily upper air soundings shall extend to the 500 mb level and shall incorporate all sounding levels (mandatory, significant, etc.), including the surface level and 500 mb level. Data to be extracted at each level includes, pressure, altitude, temperature, dew point temperature, wind direction and wind speed. The upper air soundings are to be taken from the most representative upper air station. Where a facility is approximately equidistant from 2 or more upper air stations, the choice of the upper air station will be dependent on the direction of the upper air stations from the facility, the terrain elevation of the facility vs the terrain elevation of the upper air station, and the proximity of the facility and upper air station to large water bodies. Table 11.1 provides general guidance on choosing the appropriate upper station, however since CALMET can accommodate data from numerous upper air stations, in these circumstances, data from all pertinent stations should be used. Table 11.1 Location Eastern Newfoundland Central and Western Newfoundland Coastal and Central Labrador Western Labrador Alternate 1 Alternate 2 Upper Air Station St. John s Stephenville Goose Bay La Grande IV Sept Isle Kuujjuaq Latitude / Longitude N W N W N W N W N W N W (c) (d) Sufficient on-site meteorological data includes: wind speed, wind direction, ambient temperature, barometric pressure and opaque cloud cover (or alternatively total cloud cover). Meteorological data from an Environment Canada station shall include: wind speed, wind direction, ambient temperature, barometric pressure, opaque cloud, total cover, ceiling height and relative humidity. It is recognized that CALMET can accept mesoscale meteorological model inputs such as those from the ETA model and the Nonhydrostatic Mesoscale Model (NMM). In such circumstances, an effective meteorological windfield can be generated for the facility being modelled. 18

19 As such, a minimum data record of 1 year is required for regulatory applications. (e) (f) (g) (h) (i) (j) (k) (l) The meteorological grid shall be rectangular Cartesian, and shall be sufficiently large to encompass the entire modelling domain. Nodal spacing within the grid shall be a maximum of 1000 metres, but where terrain varies significantly about the facility, a meteorological grid of smaller spacing may be required. In the vertical, a minimum of 7 cell face heights are required, the heights of which are dependent of the nature of the facility being modelled and the surrounding terrain. The bias at each cell face height shall be determined only after consultation with the department. Where sea breezes are likely to affect the dispersion of a pollutant from a facility located in close proximity to the ocean, the effects must be considered. In this case, sea surface meteorological parameters must be extracted from a representative station. Though hourly is preferred, parameters recorded weekly or monthly may be acceptable. Albedo, bowen ratio, surface roughness, soil heat flux, anthropogenic heat flux, leaf area index and land use parameters are to be determined for each node of the meteorological grid. In situations where these characteristics are not readily available from the Lands branch of the Department of Environment and Conservation or from other sources, the Environment branch of the Department of Environment and Conservation shall be contacted for appropriate guidance. Terrain elevation data shall be extracted from digital elevation mapping available from the Department of Environment and Conservation (Lands Branch), National Resources Canada or Shuttle Radar Topography Mission (SRTM). Terrain elevations shall be extracted from maps scaled to 3 arcseconds or better using UTM (Universal Traverse Mercator) projection, reference ellipsoid NAD83 or WGS84. All parameters of the input file are to be set at default. Wind directions are to be randomized to 1º or better. Where only one surface meteorological station exists in the meteorological grid, the LVARY variable, specifying the radius of influence of the meteorological data, shall be set to true. If more than one surface meteorological station exists, then appropriate values of RMAX1, RMAX2 and RMAX3 need to be defined based on the topography of the meteorological grid. Only results from the latest version of CALMET shall be acceptable. As of the date of this guidance document, the version was 6.211, level The department shall be contacted prior to undertaking compliance modelling to confirm the latest acceptable version. 19

20 11.2 CALPUFF (a) Terrain receptors shall incorporate a rectangular Cartesian grid coupled with discrete receptors using the UTM coordinate system as noted above. The maximum spacing, on and off property, shall be: 1) 50 m spacing from the centre of the operation out to 500 m, 2) 100 metre spacing from 500 m out to 1000 m, 3) 200 metre spacing from 1000 m out to 2000 m 4) 500 metre spacing beyond 2000 km, 5) 50 metre spacing within all residential areas located less than 1000 m of property s administrative boundary, 6) 100 metre spacing within all residential areas located beyond 1000 m of property s administrative boundary, but located within 2000 m of the property s administrative boundary, 7) 200 metre spacing within all residential areas located beyond 2000 m of property s administrative boundary. Discrete receptors are to be placed along the property s administrative boundary at 20 metre intervals or less. The physical extent of the spacing requirement shall be determined after consultation with the department. (b) The computational grid shall be sized such that it extends a minimum of 1 km beyond the outer extent of the receptor grid in all directions to allow for puffs to reintegrate onto the receptor grid in the event of wind directional changes. (c) (d) Building downwash must be accounted for when it exists. As a general rule of thumb, if a building height is greater than 40% of the source emission height, then there is building downwash. Building downwash variables shall be calculated for the Plume Rise Model Enhancements (PRIME) algorithm with the appropriate output variables serving as inputs into AERMOD. These variables are (variable name): 1) direction specific building height (BUILDHGT), 2) direction specific building width (BUILDWID), 3) direction specific along flow building length (BUILDLEN), 4) along flow distance from the stack to centre of upwind face of the projected building (XBADJ), 5) across flow distance from the stack to centre of upwind face of the projected building (YBADJ). 20

21 (e) All parameters of the input file are to be set at default unless justification exists to the contrary. In situations where the default parameters are not justified for modelling, such as modelling for wet removal and dry deposition, the department shall be contacted for guidance. Irrespective of these situations, for the following parameters, the required values shall be: Parameter Name Value MSHEAR - Wind shear above stack top 1 MSPLIT - Puff splitting allowed 1 MDISP - Dispersion coefficient method 2 (f) (g) (h) In situations where the prediction of near source concentrations are desired, CALPUFF shall be run in slug mode, i.e. parameter MSLUG= 1, versus puff mode. Source emission parameters shall be taken from the most recent stack test conducted in accordance with departmental guidance document GD- PPD If no stack parameters exist, then source inputs to the model shall be made only in consultation with the department. Only results from the latest version of CALPUFF shall be acceptable. As of the date of this guidance document, the version was 6.112, level The department shall be contacted prior to undertaking compliance modelling to confirm the latest acceptable version CALPOST (a) (b) All parameters of the input file, subject to the provisions of Section 8, are to be set at default unless justification exists to the contrary. Only results from the latest version of CALPOST shall be acceptable. As of the date of this guidance document, the version was 6.131, level The department shall be contacted prior to undertaking compliance modelling to confirm the latest acceptable version. 12. REPORTING The modelling report shall be submitted to the department within 120 days of completion of a source emission test as defined in an approval issued to the industry, or in accordance with departmental guidance document GD-PPD The modelling report shall include: 21

22 (a) (b) (c) isopleths for the pollutants listed in Section 7 over the time frames specified in Table 8.1, superimposed on a map defining major roads, buildings, structures, landmarks. a listing of model input parameters including a copy of the input and output files. accompanying discussion of the results. 13. BPIP The Building Projection Input Program (BPIP) has been traditionally used to determine the building wake effects for input into either the AERMOD or CALPUFF modelling systems. However, it has been determined that in certain circumstances, BPIP may produce results that are not entirely accurate for the structure being modelled. As such, all building downwash input must be approved by the department prior to modelling. 14. REFERENCES 1. Scire, J.S, D.G. Strimaitis and R.J. Yamartino, 2000: A User=s Guide for the CALPUFF Dispersion Model. Earth Tech Inc., Concord MA. 2. U.S. Environmental Protection Agency, 1998: User=s Guide for the AERMOD Meteorological Preprocessor (AERMET). U.S. Environmental Protection Agency, Research Triangle Park, NC. 3. U.S. Environmental Protection Agency, 2000: 40 CFR Part 51, Guideline on Air Quality Models, Proposed Rule. U.S. Environmental Protection Agency. 4. U.S. Environmental Protection Agency, 1995: Screen3 Model User=s Guide. U.S. Environmental Protection Agency, Research Triangle Park, NC. G.G Akopova, N.A. Solovyova et al, 2002: Transformation of NO to NO2 in the Exhaust Plumes from Gas Compressor Stations. Atmospheric Chemistry within the Earth System from Regional Pollution to Global Change, Greece. Alpha-Gamma Technologies Inc, 2000: Emission Factor Documentation for AP- 42 Section 3.1 Stationary Gas Turbines. Raleigh, NC. 22

23 R. Bell & F Buckingham. An Overview of Technologies for Reduction of Nitrous Oxides Emissions. MPR Associates Inc, Alexandria, VA. Clark, Larry 2002: Controlling NOx. Process Heating. Eastern Research Group, 1998: Report on Revisions to 5th Edition AP-42 Section 1.3 Fuel Oil Combustion. Morrisville, NC. P. L. Hanrahan, 1999: The Plume Volume Molar Ratio Method for Determining NO2/NOx Ratios in Modeling. Air Quality Division, Oregon Department of Environmental Quality, Portland, Oregon. D. Laxen & P. Wilson, 2002: A New Approach to Deriving NO2 from NOx for Air Quality Assessments of Roads. Air Quality Consultants Ltd, Bristol, UK. MACTEC Federal Programs, Inc, Sensitivity Analysis of PVMRM and OLM in AERMOD. MACTEC Federal Programs, Inc, Research Triangle Park, NC. Oakridge National Laboratory, 2002: Guide to Low Emission Boiler and Combustion Equipment Selection. Oakridge, TN. U.S. Environmental Protection Agency, 1998: Compilation of Air Pollution Emission Factors, AP-42, Section 1.3, Fuel Oil Combustion. U.S. Environmental Protection Agency, Research Triangle Park, NC. U.S. Environmental Protection Agency, 2000: Compilation of Air Pollution Emission Factors, AP-42, Section 3.1, Stationary Gas Turbines. U.S. Environmental Protection Agency, Research Triangle Park, NC. U.S. Environmental Protection Agency, 1996: Compilation of Air Pollution Emission Factors, AP-42, Section 3.3, Gasoline and Diesel Industrial Engines. U.S. Environmental Protection Agency, Research Triangle Park, NC. U.S. Environmental Protection Agency, 1996: Use of the Ozone Limiting Method for Estimating Nitrogen Dioxide Concentrations. U.S. Environmental Protection Agency, Research Triangle Park, NC. 23

AIR DISPERSION MODELLING IN COASTAL AREAS WITH ROUGH TERRAIN, USING CALPUFF PRIME

AIR DISPERSION MODELLING IN COASTAL AREAS WITH ROUGH TERRAIN, USING CALPUFF PRIME AIR DISPERSION MODELLING IN COASTAL AREAS WITH ROUGH TERRAIN, USING CALPUFF PRIME Marcia C. Parsons, Fracflow Consultants Inc., 154 Major s Path, St. John s, NL, Canada, A1A 5A1, Faisal Khan, Memorial

More information

SUBJECT OBJECTIVE. The determination of a facility s compliance with the ambient air quality standards.

SUBJECT OBJECTIVE. The determination of a facility s compliance with the ambient air quality standards. SUBJECT The determination of a facility s compliance with the ambient air quality standards. OBJECTIVE To set out and define the procedures that the Department of Environment and Conservation will follow

More information

Comparison of Features and Data Requirements among the CALPUFF, AERMOD, and ADMS Models

Comparison of Features and Data Requirements among the CALPUFF, AERMOD, and ADMS Models Comparison of Features and Data Requirements among the CALPUFF, AERMOD, and ADMS Models Prepared By: Russell F. Lee BREEZE SOFTWARE 12700 Park Central Drive Suite 2100 Dallas, TX 75251 +1 (972) 661-8881

More information

APPENDIX H AIR DISPERSION MODELLING REPORT BY PROJECT MANAGEMENT LTD. (REF. CHAPTER 11 AIR QUALITY AND CLIMATIC FACTORS)

APPENDIX H AIR DISPERSION MODELLING REPORT BY PROJECT MANAGEMENT LTD. (REF. CHAPTER 11 AIR QUALITY AND CLIMATIC FACTORS) 101050.22.RP.0001 A Environmental Impact Statement 15 th April 2005 APPENDIX H AIR DISPERSION MODELLING REPORT BY PROJECT MANAGEMENT LTD. (REF. CHAPTER 11 AIR QUALITY AND CLIMATIC FACTORS) S:\Projects\190900\101050

More information

MULTIPLE POINT SOURCE DISPERSION ANALYSIS OF CO, NO 2, PM 10 AND SO 2 FROM PAITON POWER PLANT USING CALPUFF

MULTIPLE POINT SOURCE DISPERSION ANALYSIS OF CO, NO 2, PM 10 AND SO 2 FROM PAITON POWER PLANT USING CALPUFF International Journal of Civil Engineering and Technology (IJCIET) Volume 9, Issue 1, January 2018, pp. 837 846, Article ID: IJCIET_09_01_081 Available online at http://http://www.iaeme.com/ijciet/issues.asp?jtype=ijciet&vtype=9&itype=1

More information

LINN COUNTY PUBLIC HEALTH DEPARTMENT

LINN COUNTY PUBLIC HEALTH DEPARTMENT LINN COUNTY PUBLIC HEALTH DEPARTMENT Air Quality Division M E M O R A N D U M DATE: MARCH 13, 2009 TO: FROM: RE: CC: TONY DAUGHERTY PM2.5 PREDICTED MODELING IMPACTS OF OUTDOOR WOOD BOILERS INTRODUCTION

More information

APPENDIX E SATURN (UNITS 1 & 2) AIR TDR

APPENDIX E SATURN (UNITS 1 & 2) AIR TDR APPENDIX E SATURN (UNITS 1 & 2) AIR TDR Technical Data Report for Saturn Compressor Station (Units 1&2) Air Quality Prepared for: NOVA Gas Transmission Ltd. Calgary, Alberta Prepared by: Stantec Consulting

More information

Kitimat Airshed Emissions Effects Assessment and CALPUFF Modelling

Kitimat Airshed Emissions Effects Assessment and CALPUFF Modelling Kitimat Airshed Emissions Effects Assessment and CALPUFF Modelling EMA of BC - May 2016 Session - Regional Air Topics Anna Henolson Topics to Cover What is Air Dispersion Modelling? Types of Models CALPUFF

More information

GLNG PROJECT - ENVIRONMENTAL IMPACT STATEMENT

GLNG PROJECT - ENVIRONMENTAL IMPACT STATEMENT 6 J:\Jobs\42626220\07 Deliverables\EIS\FINAL for Public Release\6. Values and Management of Impacts\6-8 Air Quality\06 08 Air Quality (Section 6.8) FINAL PUBLIC track.doc GLNG Project - Environmental Impact

More information

AIR DISPERSION MODELLING GUIDELINE FOR ONTARIO [GUIDELINE A-11]

AIR DISPERSION MODELLING GUIDELINE FOR ONTARIO [GUIDELINE A-11] AIR DISPERSION MODELLING GUIDELINE FOR ONTARIO [GUIDELINE A-11] Version 3.0 Guidance for Demonstrating Compliance with the Air Dispersion Modelling Requirements set out in Ontario Regulation 419/05 Air

More information

Key-Words: - Dispersion models, Meteorological models, Industrial source, CALPUFF, RAMS, PM 10, SO x, NO x.

Key-Words: - Dispersion models, Meteorological models, Industrial source, CALPUFF, RAMS, PM 10, SO x, NO x. An application of the RAMS-CALMET-CALPUFF modelling system to assess the long-term contribution to atmospheric pollution from a large industrial source in Tuscany F. CALASTRINI, C. BUSILLO, G. GUALTIERI

More information

2nd International Conference on WASTE MANAGEMENT, WATER POLLUTION, AIR POLLUTION, INDOOR CLIMATE (WWAI'08) Corfu, Greece, October 26-28, 2008

2nd International Conference on WASTE MANAGEMENT, WATER POLLUTION, AIR POLLUTION, INDOOR CLIMATE (WWAI'08) Corfu, Greece, October 26-28, 2008 An application of the RAMS-CALMET-CALPUFF modelling system to assess the long-term contribution to atmospheric pollution from a large industrial source in Tuscany F. CALASTRINI, C. BUSILLO, G. GUALTIERI

More information

REPORT. Offshore Ironsands Project. Air Dispersion Modelling Study - Gas Turbines

REPORT. Offshore Ironsands Project. Air Dispersion Modelling Study - Gas Turbines REPORT Offshore Ironsands Project Air Dispersion Modelling Study - Gas Turbines Prepared for Prepared by Date Job Number 29303.v2 Distribution: (FILE) 1 copy 1 copy Table of contents 1 Introduction 1 2

More information

Oklahoma Department of Environmental Quality Air Quality Division

Oklahoma Department of Environmental Quality Air Quality Division Oklahoma Department of Environmental Quality Air Quality Division BART Application Analysis January 19, 2010 COMPANY: FACILITY: FACILITY LOCATION: TYPE OF OPERATION: Units REVIEWER: AEP- Public Service

More information

AIR DISPERSION MODELLING GUIDELINE FOR ONTARIO

AIR DISPERSION MODELLING GUIDELINE FOR ONTARIO July 2005 AIR DISPERSION MODELLING GUIDELINE FOR ONTARIO Version 1.0 Guidance for Demonstrating Compliance with The Air Dispersion Modelling Requirements set out in Ontario Regulation 419/05 Air Pollution

More information

Comparative Use of ISCST3, ISC-PRIME and AERMOD in Air Toxics Risk Assessment

Comparative Use of ISCST3, ISC-PRIME and AERMOD in Air Toxics Risk Assessment Comparative Use of ISCST3, ISC-PRIME and AERMOD in Air Toxics Risk Assessment KHANH T. TRAN Applied Modeling Inc., 21395 Castillo Street, Woodland Hills, CA 91364 Telephone (818) 716-5347, E-mail: kttran@amiace.com,

More information

National Ambient Air Quality Standards

National Ambient Air Quality Standards Modeling Issues with the New National Ambient Air Quality Standards James Red Oris Solutions / BEE-Line Software Presented to North Texas Chapter of the Air & Waste Management Association August 24, 2010

More information

AIR AND ODOUR EMISSIONS ASSESSMENT OF OPERATIONAL SHUTDOWN STACK RELEASE

AIR AND ODOUR EMISSIONS ASSESSMENT OF OPERATIONAL SHUTDOWN STACK RELEASE AIR AND ODOUR EMISSIONS ASSESSMENT OF OPERATIONAL SHUTDOWN STACK RELEASE CLEAN HARBORS CANADA INC. CORUNNA, ONTARIO DISCLAIMER: SOME FORMATTING CHANGES MAY HAVE OCCURRED WHEN THE ORIGINAL DOCUMENT WAS

More information

REPORT. Offshore Ironsands Project. Air Dispersion Modelling Study - Reciprocating Engines

REPORT. Offshore Ironsands Project. Air Dispersion Modelling Study - Reciprocating Engines REPORT Offshore Ironsands Project Air Dispersion Modelling Study - Reciprocating Engines Prepared for Prepared by Date Job Number 29303.v2 Distribution: (FILE) 1 copy 1 copy Table of contents 1 Introduction

More information

NORTH CAROLINA PSD MODELING GUIDANCE

NORTH CAROLINA PSD MODELING GUIDANCE NORTH CAROLINA PSD MODELING GUIDANCE January 6, 2012 NORTH CAROLINA DEPARTMENT OF ENVIRONMENT AND NATURAL RESOURCES DIVISION OF AIR QUALITY PERMITTING SECTION AIR QUALITY ANALYSIS BRANCH Introduction TABLE

More information

Air Quality Assessment Of the Grizzly Oil Sands ULC Algar Lake SAGD Project

Air Quality Assessment Of the Grizzly Oil Sands ULC Algar Lake SAGD Project Air Quality Assessment Of the Prepared for: Prepared by: Millennium EMS Solutions Ltd. January 21 File #7-99 Suite 28 427 98 Street Edmonton AB Canada T6E 5R7 Tel: 78.496.948 Fax: 78.496.949 Email: info@mems.ca

More information

Technical Manual Guideline on Air Quality Impact Modeling Analysis

Technical Manual Guideline on Air Quality Impact Modeling Analysis New Jersey Department of Environmental Protection Division of Air Quality Bureau of Technical Services Technical Manual 1002 Guideline on Air Quality Impact Modeling Analysis November 2009 Table of Contents

More information

Prepared for: Toronto Hydro Energy Services Inc. 14 Carlton Street Toronto, Ontario M5B 1K5. Prepared by:

Prepared for: Toronto Hydro Energy Services Inc. 14 Carlton Street Toronto, Ontario M5B 1K5. Prepared by: EMISSION SUMMARY AND DISPERSION MODELLING REPORT IN SUPPORT OF A RENEWABLE ENERGY APPROVAL APPLICATION TORONTO HYDRO ENERGY SERVICES INC. LESLIE ST., TORONTO, ONTARIO Prepared for: Toronto Hydro Energy

More information

A comparison of CALPUFF air quality simulation results with monitoring data for Krakow Poland

A comparison of CALPUFF air quality simulation results with monitoring data for Krakow Poland A comparison of CALPUFF air quality simulation results with monitoring data for Krakow Poland John S. Irwin 1, Joanna Niedzialek 2, Jerzy Burzynski 3 1 Atmospheric Sciences Modeling Division (Mail Drop

More information

APPENDIX I Air Quality Technical Data Report. PDF Page 1 of 117

APPENDIX I Air Quality Technical Data Report. PDF Page 1 of 117 APPENDIX I Air Quality Technical Data Report PDF Page 1 of 117 PDF Page 2 of 117 Air Quality Technical Data Report Prepared for: NOVA Gas Transmission Ltd. Calgary, Alberta Prepared by: Stantec Consulting

More information

CE 213A Introduction to Environmental Science

CE 213A Introduction to Environmental Science CE 213A Introduction to Environmental Science Module D Air Pollution Dr. Anubha Goel FB 308, anubha@iitk.ac.in, x 7027 Nazaroff, Ch. 7 Air Pollution 2 Key Concepts Structure and composition of the atmosphere

More information

Review of GHD s Modeling Assessment and Analysis of the Coal-fired Power Stations in the Latrobe Valley. Dr. H. Andrew Gray Gray Sky Solutions

Review of GHD s Modeling Assessment and Analysis of the Coal-fired Power Stations in the Latrobe Valley. Dr. H. Andrew Gray Gray Sky Solutions Review of GHD s Modeling Assessment and Analysis of the Coal-fired Power Stations in the Latrobe Valley Dr. H. Andrew Gray Gray Sky Solutions September 19, 2018 1 Introduction My name is Dr. H. Andrew

More information

Air Quality Assessment of the Canadian Pulp and Paper Industry. Gregory Crooks, M.Eng., P.Eng. July 14, 2009

Air Quality Assessment of the Canadian Pulp and Paper Industry. Gregory Crooks, M.Eng., P.Eng. July 14, 2009 Air Quality Assessment of the Canadian Pulp and Paper Industry Gregory Crooks, M.Eng., P.Eng. July 14, 2009 Study Overview Health Canada is currently conducting a study of the effects on human health of

More information

FACILITY PROFILE. New Brunswick Power Corporation for the Belledune Thermal Generating Station

FACILITY PROFILE. New Brunswick Power Corporation for the Belledune Thermal Generating Station FACILITY PROFILE New Brunswick Power Corporation for the Belledune Thermal Generating Station Prepared by: Industrial Processes Section, Impact Management Branch Department of Environment and Local Government

More information

Application of the AERMOD modeling system for air pollution dispersion in the South Pars oilfield

Application of the AERMOD modeling system for air pollution dispersion in the South Pars oilfield First International Symposium on Urban Development: Koya as a Case Study 339 Application of the AERMOD modeling system for air pollution dispersion in the South Pars oilfield 1,2 1,2 3 M. Rouhi, H. Moradi

More information

Air Quality Assessment Report Paris Grand Development County of Brant, Ontario

Air Quality Assessment Report Paris Grand Development County of Brant, Ontario Air Quality Assessment Report Paris Grand Development County of Brant, Ontario Novus Reference No. 16-0214 NOVUS TEAM: Technical Coordinator: Air Quality Engineer: Project Director: Laura Clark, B.Eng.,

More information

Comparison of Two Dispersion Models: A Bulk Petroleum Storage Terminal Case Study

Comparison of Two Dispersion Models: A Bulk Petroleum Storage Terminal Case Study Comparison of Two Dispersion Models: A Bulk Petroleum Storage Terminal Case Study Prepared By: Anthony J. Schroeder BREEZE SOFTWARE 12770 Merit Drive Suite 900 Dallas, TX 75251 +1 (972) 661-8881 breeze-software.com

More information

Prepared for: Toronto Hydro Energy Services Inc. 14 Carlton Street Toronto, Ontario M5B 1K5. Prepared by:

Prepared for: Toronto Hydro Energy Services Inc. 14 Carlton Street Toronto, Ontario M5B 1K5. Prepared by: EMISSION SUMMARY AND DISPERSION MODELLING REPORT GREEN LANE LANDFILL GAS COGENERATION PLANT TORONTO HYDRO ENERGY SERVICES INC. 38024 JOHN WISE LINE, TOWNSHIP OF SOUTHWOLD, ONTARIO Prepared for: Toronto

More information

Influence of building-downwash effect on urban traffic pollution

Influence of building-downwash effect on urban traffic pollution Influence of building-downwash effect on urban traffic pollution G. Latini, G. Passerini & S. Tascini Dipartimento di Energetica, Università Politecnica delle Marche, Italy Abstract Building-downwash has

More information

Introduction to Air Quality Models

Introduction to Air Quality Models Introduction to Air Quality Models Emission Model Meteorological Model Temporal and spatial emission rates Topography Chemical Transformation Pollutant Transport Equilibrium between Particles and gases

More information

SO 2 Air Dispersion Modeling Report for White Bluff Steam Electric Station. ERM Project No The world s leading sustainability consultancy

SO 2 Air Dispersion Modeling Report for White Bluff Steam Electric Station. ERM Project No The world s leading sustainability consultancy SO 2 Air Dispersion Modeling Report for White Bluff Steam Electric Station August 2015 ERM Project No. 0268066 www.erm.com The world s leading sustainability consultancy SO 2 Air Dispersion Modeling Report

More information

Significance of a CALPUFF Near-Field Analysis

Significance of a CALPUFF Near-Field Analysis Significance of a CALPUFF Near-Field Analysis Paper #70052 Authors: Elizabeth A. H. Carper Trinity Consultants 20819 72 nd Avenue South, Suite 610 Kent, WA 98032 Eri Ottersburg Trinity Consultants 20819

More information

Atmospheric Dispersion Modelling for Odour Impact: Practices, Issues & Recommendations

Atmospheric Dispersion Modelling for Odour Impact: Practices, Issues & Recommendations Atmospheric Dispersion Modelling for Odour Impact: Practices, Issues & Recommendations Chris Scullion, Managing Consultant September 14-15, 2015 Toronto, ON trinityconsultants.com Odour Dispersion Modelling

More information

Appendix 0 Air Dispersion Modelling Study Black Point Quarry Project Guysborough County, NS SLR Project No.:

Appendix 0 Air Dispersion Modelling Study Black Point Quarry Project Guysborough County, NS SLR Project No.: Appendix 0 Air Dispersion Modelling Study 2015 Black Point Quarry Project Guysborough County, NS SLR Project No.: 210.05913.00000 Black Point Quarry Air Dispersion Modelling Study Prepared for: CJ Spainhour

More information

History of significant air pollution events

History of significant air pollution events Ch17 Air Pollution A thick layer of smoke and haze covers Santiago, Chile. History of significant air pollution events Many of the worst air pollution episodes occurred in the last two centuries in London

More information

Prepared for: Toronto Hydro Energy Services Inc. 14 Carlton Street Toronto, Ontario M5B 1K5. Prepared by:

Prepared for: Toronto Hydro Energy Services Inc. 14 Carlton Street Toronto, Ontario M5B 1K5. Prepared by: EMISSION SUMMARY AND DISPERSION MODELLING REPORT IN SUPPORT OF A RENEWABLE ENERGY APPROVAL APPLICATION TORONTO HYDRO ENERGY SERVICES INC. LESLIE ST., TORONTO, ONTARIO Prepared for: Toronto Hydro Energy

More information

Modeling 101: Intro to Dispersion Modeling Programs and Process

Modeling 101: Intro to Dispersion Modeling Programs and Process 1 Modeling 101: Intro to Dispersion Modeling Programs and Process Carolinas Air Pollution Control Association Presentation by: Pilar Johansson Trinity Consultants 2 Presentation Outline When are Models

More information

Assessing the air quality, toxic and health impacts of the Lamu coal-fired power plants

Assessing the air quality, toxic and health impacts of the Lamu coal-fired power plants Assessing the air quality, toxic and health impacts of the Lamu coal-fired power plants Lauri Myllyvirta 1 & Clifford Chuwah 2 Greenpeace Research Laboratories 3 Technical Report 06-2017 June 2017 Summary

More information

Excerpt of Thermal Power Guidelines for New Plants

Excerpt of Thermal Power Guidelines for New Plants Excerpt of Thermal Power Guidelines for New Plants The following is an excerpt of the Thermal Power guidelines for New Plants, a complete version of which is found in the Pollution Prevention and Abatement

More information

APPENDIX D MODELING AND DEPOSITION ANALYSIS

APPENDIX D MODELING AND DEPOSITION ANALYSIS APPENDIX D MODELING AND DEPOSITION ANALYSIS Appendix D Ambient Air Quality Dispersion and Deposition Modeling Analyses Supporting a Permit to Install Application Eagle Project Located in Michigamme Township,

More information

Critical Review of the Building Downwash Algorithms in AERMOD

Critical Review of the Building Downwash Algorithms in AERMOD Critical Review of the Building Downwash Algorithms in AERMOD Paper #34 Presented at the conference: Guideline on Air Quality Models: The New Path April 12-14, 2016 Chapel Hill, NC Ron L. Petersen, 1 Sergio

More information

Sensitivity of AERMOD to Meteorological Data Sets Based on Varying Surface Roughness. Paper No A-168-AWMA

Sensitivity of AERMOD to Meteorological Data Sets Based on Varying Surface Roughness. Paper No A-168-AWMA Sensitivity of AERMOD to Meteorological Data Sets Based on Varying Surface Roughness Paper No. 2009-A-168-AWMA Prepared by: Anthony J. Schroeder, CCM Senior Consultant George J. Schewe, CCM, QEP Principal

More information

Appendix: Materials and methods

Appendix: Materials and methods Appendix: Materials and methods Atmospheric dispersion modeling for the case studies was carried out using version 7 (June 2015) of the CALPUFF modeling system. CALPUFF is an advanced non-steady-state

More information

Air pollution modeling of the industrial complexes and cities in the Kurdistan region using AERMOD view

Air pollution modeling of the industrial complexes and cities in the Kurdistan region using AERMOD view First International Symposium on Urban Development: Koya as a Case Study 333 Air pollution modeling of the industrial complexes and cities in the Kurdistan region using AERMOD view H. Moradi 1,2, M. Rouhi

More information

GUIDELINES FOR EVALUATING THE AIR QUALITY IMPACTS OF TOXIC POLLUTANTS IN NORTH CAROLINA

GUIDELINES FOR EVALUATING THE AIR QUALITY IMPACTS OF TOXIC POLLUTANTS IN NORTH CAROLINA GUIDELINES FOR EVALUATING THE AIR QUALITY IMPACTS OF TOXIC POLLUTANTS IN NORTH CAROLINA February 2014 North Carolina Department of Environment and Natural Resources Division of Air Quality Permitting Section

More information

1 Introduction What is Dispersion Modelling What can dispersion modelling be used for? What can t dispersion models do?...

1 Introduction What is Dispersion Modelling What can dispersion modelling be used for? What can t dispersion models do?... Table of Contents 1 Introduction 3 1.1 What is Dispersion Modelling... 4 1.2 What can dispersion modelling be used for?... 4 1.3 What can t dispersion models do?... 5 2 Why is dispersion modelling required?

More information

Impact of gaseous and particulate matter emission for fluid catalytic cracking units

Impact of gaseous and particulate matter emission for fluid catalytic cracking units Loughborough University Institutional Repository Impact of gaseous and particulate matter emission for fluid catalytic cracking units This item was submitted to Loughborough University's Institutional

More information

75th Air Base Wing. Comparison of CALPUFF and OBODM for Open Burn/Open Detonation Modeling. 22 May Mark Bennett, Ph.D.

75th Air Base Wing. Comparison of CALPUFF and OBODM for Open Burn/Open Detonation Modeling. 22 May Mark Bennett, Ph.D. 75th Air Base Wing Comparison of CALPUFF and OBODM for Open Burn/Open Detonation Modeling 22 May 2007 Mark Bennett, Ph.D. CH2M Hill, Inc Joint Services Environmental Management Conference and Exposition

More information

GE 2211 Environmental Science and Engineering Unit III Air Pollution. M. Subramanian

GE 2211 Environmental Science and Engineering Unit III  Air Pollution.  M. Subramanian GE 2211 Environmental Science and Engineering Unit III Air Pollution M. Subramanian Assistant Professor Department of Chemical Engineering Sri Sivasubramaniya Nadar College of Engineering Kalavakkam 603

More information

Assessing the air quality, toxic and health impacts of the Cayirhan coal-fired power plants

Assessing the air quality, toxic and health impacts of the Cayirhan coal-fired power plants Assessing the air quality, toxic and health impacts of the Cayirhan coal-fired power plants Lauri Myllyvirta 1 & Clifford Chuwah 2 Greenpeace Research Laboratories 3 Technical Report 08-2017 November 2017

More information

Attachment 2. Modeling Protocol for Duke Energy Carolinas, LLC Belews Creek Steam Station

Attachment 2. Modeling Protocol for Duke Energy Carolinas, LLC Belews Creek Steam Station Attachment 2 Modeling Protocol for Duke Energy Carolinas, LLC Belews Creek Steam Station Duke Energy Belews Creek Generating Station Modeling Protocol For 1-hour SO 2 National Ambient Air Quality Standard

More information

Air Quality Modelling. Table of Contents

Air Quality Modelling. Table of Contents Table of Contents 1.0 Introduction... 5 1.1 Purpose of Modeling... 5 1.2 Phases of a Modeling Study... 5 1.2.1 Scoping Phase... 6 1.2.2 Screening Model Phase... 6 1.2.3 Refined Model Phase... 6 1.2.4 Presentation

More information

Estimation of Jiangsu Provincial Atmospheric Environmental Capacity of Thermal Power Plants

Estimation of Jiangsu Provincial Atmospheric Environmental Capacity of Thermal Power Plants ISSN 1749-3889 (print), 1749-3897 (online) International Journal of Nonlinear Science Vol.20(2015) No.2,pp.79-85 Estimation of Jiangsu Provincial Atmospheric Environmental Capacity of Thermal Power Plants

More information

An Introduction to Air Quality

An Introduction to Air Quality An Introduction to Air Quality Learning Goals "We came all this way to explore the Moon, and the most important thing is that we discovered the Earth - William Anders After this lesson, you will be able

More information

Technical Guidance Document for Air Quality Modeling

Technical Guidance Document for Air Quality Modeling Technical Guidance Document for Air Quality Modeling EAD-EQ-PCE-TG-12 Signature on Original Environment Quality Sector * Corporate Management Representative Secretary General Originated By Reviewed By

More information

State of the Art (SOTA) Manual for Stationary Gas Turbines

State of the Art (SOTA) Manual for Stationary Gas Turbines State of the Art (SOTA) Manual for Stationary Gas Turbines Original Date: July 1997 Revision Date: November 1999 State of New Jersey Department of Environmental Protection Air Quality Permitting Program

More information

AERMOD Modeling of PM2.5 Impacts of the Proposed Highwood Generating Station

AERMOD Modeling of PM2.5 Impacts of the Proposed Highwood Generating Station AERMOD Modeling of PM2.5 Impacts of the Proposed Highwood Generating Station September 10, 2007 Prepared for Montana Environmental Information Center and Citizens for Clean Energy Prepared by Khanh T.

More information

Modeling For Managers. aq-ppt5-11

Modeling For Managers. aq-ppt5-11 Modeling For Managers aq-ppt5-11 Types of Models Near-field *Preferred: EPA AERMOD model 50km CLASS II; Increment Far-field CALPUFF 50km 100+km CLASS I; Chemical Transformation What is used at MPCA History

More information

Atmospheric Emissions from Stationary Combustion Turbines

Atmospheric Emissions from Stationary Combustion Turbines GUIDELINE A-5 Atmospheric Emissions from Stationary Combustion Turbines Legislative Authority: Environmental Protection Act, Sections 6, 9, and 14 Ontario Regulation 346 Responsible Director: Director,

More information

Overview of Appendix W Changes

Overview of Appendix W Changes Overview of Appendix W Changes ERM Webinar January 10, 2017 Insert then choose Picture select your picture. Right click your picture and Send to back. Copyright 2015 by ERM Worldwide Limited and/or its

More information

Ambient Air Quality Monitoring Update, Kirby Misperton A Wellsite, KM8 Production Well

Ambient Air Quality Monitoring Update, Kirby Misperton A Wellsite, KM8 Production Well Ambient Air Quality Monitoring Update, Kirby Misperton A Wellsite, KM8 Production Well. Prepared for: Third Energy UK Gas Ltd. Document Control Page Client Third Energy UK Gas Ltd. Document Title Ambient

More information

Meteorological and Air Dispersion Modeling Methodology and Discussion for INPRO Project

Meteorological and Air Dispersion Modeling Methodology and Discussion for INPRO Project Meteorological and Air Dispersion Modeling Methodology and Discussion for INPRO Project Introduction The transport and dilution of radioactive materials in the form of aerosols, vapors, or gases released

More information

Khosro Ashrafi (Faculty of Environment, University of Tehran, Iran)

Khosro Ashrafi (Faculty of Environment, University of Tehran, Iran) Khosro Ashrafi (Faculty of Environment, University of Tehran, Iran) Khashrafi@ut.ac.ir Majid Shafiepour Motlagh (Faculty of Environment, University of Tehran, Iran) shafiepourm@yahoo.com Hossein Tavakkoli

More information

6 AIR QUALITY. 6.1 Introduction. 6.2 Scope of Assessment Regulatory and Policy Setting Influence of Consultation on the Assessment

6 AIR QUALITY. 6.1 Introduction. 6.2 Scope of Assessment Regulatory and Policy Setting Influence of Consultation on the Assessment 6 AIR QUALITY 6.1 Introduction Air Quality is a valued component (VC) because of its intrinsic importance to the health and wellbeing of people, wildlife, vegetation and other biota. The atmosphere is

More information

Evaluation of CO and NO x Distributions from Point (Industry) Sources in Körfez District of Kocaeli Province with ISCST3 Model

Evaluation of CO and NO x Distributions from Point (Industry) Sources in Körfez District of Kocaeli Province with ISCST3 Model Digital Proceeding Of THE ICOEST 2013 -, Cappadocia C.Ozdemir, S. Şahinkaya, E. Kalıpcı, M.K. Oden (editors) Nevsehir, Turkey, June 18 21, 2013 Evaluation of CO and NO x Distributions from Point (Industry)

More information

Energy Impact Analysis in Support of Class I Redesignation Requests. Prepared for. Fond du Lac Band of Lake Superior Chippewa Cloquet, Minnesota

Energy Impact Analysis in Support of Class I Redesignation Requests. Prepared for. Fond du Lac Band of Lake Superior Chippewa Cloquet, Minnesota Energy Impact Analysis in Support of Class I Redesignation Requests Prepared for Fond du Lac Band of Lake Superior Chippewa Cloquet, Minnesota Prepared by August 2011 TABLE OF CONTENTS Section Page 1.0

More information

Oakville Health Protection Air Quality By-Law Application for Approval

Oakville Health Protection Air Quality By-Law Application for Approval Oakville Health Protection Air Quality By-Law Application for Approval Submitted by: Ford Motor Company of Canada Limited The Canadian Road Oakville, ON L6J 5C9 Prepared by: Horizon Environmental Corporation

More information

2016 Nitrogen Dioxide Summary

2016 Nitrogen Dioxide Summary 2016 Nitrogen Dioxide Summary New Jersey Department of Environmental Protection SOURCES Nitrogen dioxide (NO2) is a reddish-brown highly reactive gas that is formed in the air through the oxidation of

More information

Appendix B2. Air Dispersion Modeling

Appendix B2. Air Dispersion Modeling Appendix B2 Air Dispersion Modeling Contents 1.0 Introduction... 1 2.0 Estimation of Emissions Used in the Air Dispersion Modeling... 2 2.1 Emission Source Identification... 2 2.2 Derivation of Peak 1-Hour,

More information

Metropolitan Transit. Prepared for. Original Submittal: May 28, Resubmitted: November 10, 2010 January 21, aq5-28

Metropolitan Transit. Prepared for. Original Submittal: May 28, Resubmitted: November 10, 2010 January 21, aq5-28 Criteria Pollutant Air Dispersion Modeling Analysis for Metro Transit s Existing Hiawatha Light Rail Vehicle Operation & Maintenance Facility, Proposed Paint Booth, and Proposed Light Rail Support Facility

More information

Air Pollution. GEOL 1350: Introduction To Meteorology

Air Pollution. GEOL 1350: Introduction To Meteorology Air Pollution GEOL 1350: Introduction To Meteorology 1 Overview Types and Sources of Air Pollutants Factors That Affect Air Pollution Air Pollution and the Urban Environment 2 Air pollutants are airborne

More information

ISSUES RELATED TO NO2 NAAQS MODELING

ISSUES RELATED TO NO2 NAAQS MODELING ISSUES RELATED TO NO2 NAAQS MODELING Presented to North Texas Chapter of the Air & Waste Management Association By James Red Providence Engineering and Environmental November 17, 2015 1 OUTLINE Overview

More information

AIR QUALITY MANAGEMENT PLAN FOR THE NORTHERN CAPE

AIR QUALITY MANAGEMENT PLAN FOR THE NORTHERN CAPE AIR QUALITY MANAGEMENT PLAN FOR THE NORTHERN CAPE MODEL PLAN OF STUDY To: From: Northern Cape Department of Environment and Nature Conservation Sasko Building 90 Long Street Kimberley, 8300 umoya-nilu

More information

Ringaskiddy Resource Recovery Centre Environmental Impact Statement

Ringaskiddy Resource Recovery Centre Environmental Impact Statement 8 Air Quality Introduction The will have one furnace and flue gas cleaning line. The line will have a moving grate furnace with a state-of-the-art flue gas cleaning system. The combustion of waste produces

More information

Dublin Airport Air Quality Monitoring Q1 2017

Dublin Airport Air Quality Monitoring Q1 2017 Dublin Airport Air Quality Monitoring Q1 2017 Environment May 2017 Dublin Airport Air Quality Monitoring Quarter 1 Report 2017 Contents 1.0 Introduction... 4 1.1 Background... 4 1.2 Purpose... 4 2.0 Monitoring

More information

Improved Building Dimension Inputs for AERMOD Modeling of the Mirant Potomac River Generating Station

Improved Building Dimension Inputs for AERMOD Modeling of the Mirant Potomac River Generating Station Improved Building Dimension Inputs for AERMOD Modeling of the Mirant Potomac River Generating Station Paper # 276 Ronald Petersen and Jeff Reifschneider CPP, Inc., 1415 Blue Spruce Drive, Fort Collins,

More information

Sensitivity of the AERMOD air quality model to the selection of land use parameters

Sensitivity of the AERMOD air quality model to the selection of land use parameters Sensitivity of the AERMOD air quality model to the selection of land use paras Thomas G. Grosch Trinity Consultants, 79 T.W. Alexander Dr., Building 4201, Suite 207, Research Triangle Park, NC 27709; tgrosch@trinityconsultants.com

More information

DISPERSION MODEL PREDICTIONS OF NO X EMISSIONS: CASE STUDY FROM KOCAELI, TURKEY

DISPERSION MODEL PREDICTIONS OF NO X EMISSIONS: CASE STUDY FROM KOCAELI, TURKEY DISPERSION MODEL PREDICTIONS OF NO X EMISSIONS: CASE STUDY FROM KOCAELI, TURKEY Şenay Çetin Doğruparmak*, Aykan Karademir, Savaş Ayberk Department of Environmental Engineering, Kocaeli University, 4138

More information

APPENDIX III. Air Quality Modelling of NO X and PM 10 (2007) RFI Report (Dec 2007)

APPENDIX III. Air Quality Modelling of NO X and PM 10 (2007) RFI Report (Dec 2007) APPENDIX III Air Quality Modelling of NO X and PM 10 (2007) RFI Report (Dec 2007) 17 EPA Export 25-07-2013:22:32:47 Platin IPPC Licence Application Air Quality Modelling of NOx and PM (2007) EPA Export

More information

EMISSION SUMMARY AND DISPERSION MODELLING REPORT

EMISSION SUMMARY AND DISPERSION MODELLING REPORT 1 EMISSION SUMMARY AND DISPERSION MODELLING REPORT Interior Heart and Surgical Centre Project (IHSC) Kelowna General Hospital Kelowna, British Columbia Prepared for PCL Constructors Westcoast Inc. Report

More information

What we do. About our facility. About Weir. Why what we do is important

What we do. About our facility. About Weir. Why what we do is important What we do About Weir About our facility Why what we do is important Weir Canada has been operating in Metro Vancouver since 2013 when we acquired the long established R. Wales Company. We are a leading

More information

Air Quality Modelling & Assessment Unit (AQMAU)

Air Quality Modelling & Assessment Unit (AQMAU) Air Quality Modelling & Assessment Unit (AQMAU) AQMAU reference: Project title: AQMAU--RP1 Diesel generator short term NO2 impact assessment Date requested: 13/9/216 AQMAU response date: 1/11/216 1 Summary

More information

MODELING METHODOLOGY

MODELING METHODOLOGY Paul Schleusener, Senior Engineer Specialist Michigan Department of Environmental Quality Air Quality Division Constitution Hall, 1 st Floor 525 West Allegan Street P.O. Box 30473 Lansing, MI 48909 7973

More information

Annual Monitoring Network Plan for the North Carolina Division of Air Quality. Volume 1 Addendum 2

Annual Monitoring Network Plan for the North Carolina Division of Air Quality. Volume 1 Addendum 2 2016-2017 Annual Monitoring Network Plan for the North Carolina Division of Air Quality Volume 1 Addendum 2 December 28, 2016 North Carolina Division of Air Quality A Division of the North Carolina Department

More information

Criteria Pollutants. Sulfur Dioxide (SO 2 ) Nitrogen Oxides (NOx)

Criteria Pollutants. Sulfur Dioxide (SO 2 ) Nitrogen Oxides (NOx) 1) Sulfur dioxide 2) Nitrogen oxides 3) Carbon monoxide 4) Ozone 5) Particulates 6) Lead Criteria Pollutants Sulfur Dioxide (SO 2 ) SO 2 is a colorless gas that is formed from the combustion of sulfur-containing

More information

Dispersion Modeling of NO x and SO x in Phase 9 and 10 of South Pars Oilfield

Dispersion Modeling of NO x and SO x in Phase 9 and 10 of South Pars Oilfield Dispersion Modeling of NO x and SO x in Phase 9 and 10 of South Pars Oilfield Maryam Rouhi 1, Hossein Moradi 2, Alireza Soffianian 3, Alireza Dahaghin 4 1 Master student of Environmental Sciences E-mail:

More information

Paper No: o7130 Case Study: Odour Risk Management at the WTP, One of Australia s Largest & Most Unique WWTPs

Paper No: o7130 Case Study: Odour Risk Management at the WTP, One of Australia s Largest & Most Unique WWTPs Paper No: o7130 Case Study: Odour Risk Management at the WTP, One of Australia s Largest & Most Unique WWTPs Josef Cesca, CH2M HILL Australia Pty Limited, jcesca@ch2mhill.com.au Amy Flanagan, CH2M HILL

More information

FIGURE ENVIRONMENTAL ASSESSMENT OF THE CAPITAL REGION RESOURCE RECOVERY CENTRE LEGEND NOTE REFERENCE

FIGURE ENVIRONMENTAL ASSESSMENT OF THE CAPITAL REGION RESOURCE RECOVERY CENTRE LEGEND NOTE REFERENCE Path: N:\Active\Spatial_IM\Miller_Paving_Ltd\CRRRC\\MXDs\12-1125-45\Reporting\Phase\Vol.1\12112545--Vol1-8.4.1-1.mxd LEGEND NOISE MONITORING LOCATIONS.! 2 SCALE 1:12, METRES POINT OF RECEPTION LOCATIONS

More information

Draft for comments only Not to be cited as East African Standard

Draft for comments only Not to be cited as East African Standard Air quality Specification EAST AFRICAN STANDARD EAST AFRICAN COMMUNITY CD/T/66:2010 ICS 87.040 EAC 2010 First Edition 2010 Foreword Development of the East African Standards has been necessitated by the

More information

Air Dispersion Modeling Guidelines. For Oklahoma Air Quality Permits

Air Dispersion Modeling Guidelines. For Oklahoma Air Quality Permits Air Dispersion Modeling Guidelines For Oklahoma Air Quality Permits Prepared by the Engineering Section of the Permitting Unit Air Quality Division Oklahoma Department of Environmental Quality June 2016

More information

Air Dispersion Modelling Guideline for Ontario

Air Dispersion Modelling Guideline for Ontario Air Dispersion Modelling Guideline for Ontario A Proposal for Consultation Air Dispersion Models and technical information relating to Ontario Regulation 346 (under the Environmental Protection Act) as

More information

Modeling Tools Used in New Jersey s 126 Petition Against Portland Power Plant

Modeling Tools Used in New Jersey s 126 Petition Against Portland Power Plant Modeling Tools Used in New Jersey s 126 Petition Against Portland Power Plant Section 126 Clean Air Act A state may petition the Administrator for a finding that a major source or group of stationary sources

More information

ENERGY AND THE ENVIRONMENT Environmental Impacts

ENERGY AND THE ENVIRONMENT Environmental Impacts ENERGY AND THE ENVIRONMENT Environmental Impacts Presented by Mr S. Mooloo, Ag Deputy Director Department of Environment MRC July 2006 Contents From Dirty to Clean fuel Environmental impacts International

More information

Review of the 2009 Gauteng Air Quality Management Plan

Review of the 2009 Gauteng Air Quality Management Plan Review of the 2009 Gauteng Air Quality Management Plan GT/GDARD/154/2016 DISPERSION MODELLING PLAN OF STUDY To: From: Gauteng Provincial Treasury Imbumba House 75 Fox Street Marshalltown, Johannesburg

More information

CALPUFF AIR DISPERSION MODELLING FOR THE GIANT MINE REMEDIATION PROJECT

CALPUFF AIR DISPERSION MODELLING FOR THE GIANT MINE REMEDIATION PROJECT CALPUFF AIR DISPERSION MODELLING FOR THE GIANT MINE REMEDIATION PROJECT Prepared for: Aboriginal Affairs and Northern Development Canada Contaminants and Remediation Directorate Prepared by: SENES Consultants

More information