Detailed Air Quality Modelling and Analysis

Size: px
Start display at page:

Download "Detailed Air Quality Modelling and Analysis"

Transcription

1 Page 1 of 22 Ser. No. Via San Gregorio, Milan - Italy IAL00-ERM-643-Y-TAE-1021 Proponent: Author: Project Title: Trans Adriatic Pipeline AG Environmental Resources Management Trans Adriatic Pipeline TAP Document Title: Detailed Air Quality Modelling and Analysis Rev. Purpose of Issue Description Auth. Date 0A Issued for Review ERM B Issued for Approval Revised based on ENT comments ERM EIA procedures ERM Final Issue: EIA procedures CONTRACTOR TSP East Author Checked Approved Checked Approved Name/Signature Signorini, Jacopo Bertolè, Lorenzo Strippoli, Daniele Fiore, Alessia Date Org./Dept. ERM ERM ERM ENT Document Status Prepared Checked Approved Checked Approved

2 Page 2 of 22 TABLE OF CONTENTS 1 Detailed modelling of the Impact of the Construction Phase on Air Quality Overview Onshore Construction Phase Dust Emissions from Earthworks and Vehicle Transit on Unpaved Roads Emissions of Exhaust Gases from Vehicles Offshore Construction Phase Quantification of Vessel Emissions Computational Domain Results Conclusion 21

3 Page 3 of 22 LIST OF TABLES Table 1-1 Maximum PM10 concentrations in the computational domain 8 Table 1-2 Emission factors for heavy duty vehicles (16-32 t) COPERT VI - Driving conditions in rural areas 11 Table 1-3 Results of the modelling analysis carried out using CALINE4 models: maximum hourly concentrations of CO, NO X and atmospheric particulate matter receptors. 14 Table 1-4 Vessels Involved in the offshore pipeline construction 17 Table 1-5 Estimation of atmospheric emissions of pollutants from vessels in the vicinity of the landfall area 18 Table 1-6 Maximum concentrations in the computational domain 20 LIST OF FIGURES Figure 1-1 Simulation domain Atmospheric dispersion of dust 7 Figure 1-2 Position of receptors 10 Figure 1-3 Position and ID of receptors 13 Figure 1-4 Vehicle Exhaust Dispersion Study - Maximum Hourly NO x Concentrations 16 Figure 1-5 Simulation domain Atmospheric dispersion of pollutants from construction activities 19 LIST OF BOXES Box 1-1 Dust emissions from Construction Sites, Additional Estimates 6

4 Page 4 of 22 1 Detailed modelling of the Impact of the Construction Phase on Air Quality 1.1 Overview This document constitutes a detailed study for the EIA Commission on the potential impact of the construction phase of the Trans Adriatic Pipeline project on air quality and reports the results of additional modelling to that included in the ESIA and the relative supplementary document, which confirms the assessments already submitted by the Proponent. Specifically, this document presents the results of the following models: - temporary dust emissions from earthworks, excavation and the movement of construction vehicles on unpaved surfaces. The emissions used in the model were estimated by integrating the emission factors reported in US-EPA AP "Heavy Construction Operations" with those reported in AP "Aggregate Handling and storage piles and confirm the information provided in paragraph 37c (Section ) of the document Additional Documents for Integration into the ESIA submitted on 17 April temporary emissions of exhaust gases into the atmosphere from vehicles used to transport materials. The traffic flows during the project construction phase were modelled using the COPERT IV emission factors (Computer Programme to calculate Emissions from Road Traffic) published on ISPRA s SINAnet portal ( which are more up-to-date than the COPERT III emission factors used in the ESIA. The results obtained have already been reported in the document "Responses to Observation of the Public" submitted on 17 April 2014 and in relation to which this document provides the technical detail. - marine traffic generated by vessels that operate along the stretch of coast in front of the pipeline landfall in Italy. The modelling analysis confirms the lack of significance of the impacts already discussed in the ESIA and in the supplemental document. The annex is then divided into two separate subsections, one for onshore activities (which includes the first two points above) and one for offshore activities (which includes the third point above).

5 Page 5 of Onshore Construction Phase Dust Emissions from Earthworks and Vehicle Transit on Unpaved Roads The project construction phase involves temporary dust producing activities during the preparation of the PRT construction site and along the pipeline working strip. In general, during the construction phase, dust emissions are produced by the following activities: pulverisation and abrasion of surfaces caused by trucks used to transport soil and other materials; resuspension of dust from stored loose materials caused by wind erosion; mechanical action on loose and excavated materials with excavators, bulldozers, etc.; involuntary transport of mud carried by truck wheels, which can produce dust when dry. In the preparation phase of the Environmental and Social Impact Assessment (hereinafter ESIA) (Chapter 8.5 of the ESIA), a quantitative assessment of dust production was performed using the US EPA AP-42 methodology (AP-42 Fifth Edition, Volume I, Chapter 13, Aggregate Handling and Storage Piles). Following this methodology, dust emissions from the construction phase were calculated, including emissions from the resuspension of dust caused by wind and transit vehicles. However, in order to more comprehensively estimate the dust emissions generated by construction activities, including on the basis of requests made by the Ministry of the Environment, the contributions of two specific activities were also considered, as set out in section Heavy Construction Operations. In particular, the emissions generated by earthworks (scrapers removing topsoil) and compacting activities were calculated. The calculation methods and assumptions made are provided in the box below.

6 Page 6 of 22 Box 1-1 Dust emissions from Construction Sites, Additional Estimates Dust Emissions - Moving topsoil To determine the contribution of earthworks dust emissions to overall emissions values, the following calculation method was applied (AP (Heavy Construction Operations): Legend: veicolo=vehicle where E is the emissions generated by a single means of transport (scrapers) for each kilometre travelled. In order to identify the distance potentially travelled by a vehicle it was assumed that the entire area (PRT + Working Strip, 333,200 m 2 in total) was machined by a vehicle able to operate at a width of approximately 3.5 m. By applying the above equation for a duration of 250 days per year, daily dust emissions of about 2.17 kg/day were estimated for earthworks. Dust emissions - Soil Compacting To determine the contribution of soil compacting dust emissions to overall emissions values, the following equation was applied (AP-42, 11.9): E = kg/h PM10 S = silt content (silt load equal to 8.5%, as suggested by the AP-42 methodology for "Construction sites") M = moisture content (10%) Assuming a daily maximum of 10 working hours for soil compacting, an activity that will most affect the project area for a limited period of time, additional dust emissions of 2.10 kg/day were estimated. Therefore, taking into account earthworks dust emissions as well as those from the resuspension of dust caused by transit vehicles already calculated in the ESIA (35.32 kg/day of PM10 will be produced by the construction of the PRT site and kg/day by the working strip activities), the new additional contribution amounts to around 5.6% of what had already been considered and evaluated by means of the modelling simulations performed. The identified emissions values, updated compared to the previous documentation, were subsequently used as input for a dust dispersion modelling study, carried out with the EPA modelling system CALMET-CALPUFF to assess the impact on air quality of dust emissions produced during the construction phase. It should be noted that the daily dust production values were conservatively estimated as continuous for the entire simulation period (2010 meteorological year). The construction of the PRT and the activities along the working strip were assumed to occur at the same time in order to take into account any synergistic effects. The PM10 concentrations were modelled over a 10 km x 8 km rectangular domain centred on the dust emission sources. Figure 1-1 below shows the simulation domain used in the modelling analysis, highlighting the location of the PRT and the working strip.

7 Page 7 of 22 For more information regarding the modelling tools used and the specific parameters of this modelling analysis, please refer to the Environmental and Social Impact Assessment in Appendix 1 to Annex 6 Figure 1-1 Simulation domain Atmospheric dispersion of dust LEGEND WORKING STRIP PIPELINE RECEIVING TERMINAL METEOROLOGICAL DOMAIN SIMULATION DOMAIN ADMINISTRATIVE BOUNDARIES MUNICIPAL BOUNDARIES Source: ERM (2013)

8 Page 8 of 22 The model produced PM10 ground level concentration values over the simulation domain, the results of which, downstream of the mitigation already proposed in the Environmental and Social Impact Assessment (Section ), are presented in Table 1-1 and compared with national and international air quality standards. Table 1-1 Maximum PM10 concentrations in the computational domain Source PRT + Working strip Parameter Simulated concentrations [µg/m³] IFC [µg/m 3 ] 2008/50/EC and Legislative Decree 155/2010 [µg/m³] PM th percentile of daily average concentrations (2) (1) Maximum daily PM10 concentrations PRT Maximum annual PM10 concentrations (1) Maximum daily average concentration limit, which should not be exceeded more than 35 times per calendar year (2) Corresponds to the daily concentration limits for the protection of human health, which should not be exceeded more than 35 times per calendar year. The long-term PM10 concentrations estimated by the model (annual average concentrations), relating only to the construction of the PRT, comply with national and international air quality standards. Similarly, the short-term PM10 concentrations estimated by the model (daily concentrations), relating to simultaneous construction activities (peak emissions) at the PRT site and along the working strip, comply with national and international air quality standards. Figure 1 in Appendix 1 contains a map showing the impact of the maximum daily PM10 concentrations and locates the maximum concentrations the immediate vicinity of the PRT site. Based on this additional modelling analysis, it can be concluded that even in relation to a more detailed review of the estimation methods used to calculate the potential dust emissions rate during construction activities, the impact assessment does not vary in substance from the values submitted in the ESIA and it confirms the Low residual impact estimate of dust emissions from construction activities.

9 Page 9 of Emissions of Exhaust Gases from Vehicles The project construction phase envisages the use of different types of vehicles for the construction of the PRT site (site preparation, excavation, construction of roads, fences and gates, etc.) and the onshore section of the pipeline. The total vehicle emission load (CO, NO x and PM10) during the project construction phase, and reported herein, was estimated using COPERT IV emission factors (Computer Programme to calculate Emissions from Road Traffic) published on ISPRA s SINAnet portal ( which are more recent than the COPERT III emission factors used in the ESIA. The results obtained had already been reported in the document "Responses to Observations of the Public" submitted on 17 April 2014 and in relation to which this document provides the technical detail. The vehicle exhaust emissions value identified was subsequently used as input for a dispersion modelling study using the CALINE model, a Gaussian-based dispersion model developed by the California Department of Transportation. The dispersion study estimated the maximum concentration of pollutants produced by vehicular traffic during the project construction phase, allowing a quantitative assessment of the impacts on local air quality. For further details regarding the technical features of the COPERT software (Computer Programme to calculate Emissions from Road Traffic) and the CALINE 4 dispersion model, please refer to Section 8.5 of the ESIA Road axis and position of receptors The simulation was modelled to assess the impacts of a generic stretch of road potentially used by the entire number of vehicles expected. In accordance with the CALINE code, the stretch of road was considered as a series of linear links with the hourly vehicular traffic due to construction activities estimated at 16 vehicles per hour. The receptors were located on a grid laid out perpendicular to the road. They were placed at a distance of 5 to 200 metres from the road, with the distance been each receptor increasing the further their location from the road. The layout of receptors adopted is presented in the Figure below. Receptors located at a distance of more than 200 metres from the road were not considered since beyond that distance, the concentrations calculated by the model for the limited volume of traffic anticipated are negligible. The closest group of receptors, located at 5 metres from the road, were deliberately placed in the immediate vicinity of the roadway in order to represent the worst possible conditions in terms of the spatial relationship between the source of the emissions and the receptor.

10 Page 10 of 22 Figure 1-2 Position of receptors RECEPTOR ROAD Emissions scenario The emissions estimate considered a conservative volume of traffic of 50 vehicles per day along the working strip, and a worst case scenario was modelled, with the 50 vehicles in transit at the same time on the same stretch of road. Therefore, assuming two transits per vehicle per day and 10 working hours per day, an average traffic volume of 10 vehicles per hour was calculated and a vehicle of speed of 40 km per hour was assumed. This (conservative) estimate of the number of vehicles in circulation is similar to the details reported in the ESIA and is also conservative with respect to the update of the document Excavated Soils and Rocks" contained in Annex 6 of the Supplemental Document to the ESIA submitted on 17 April 2014 (in which a peak of about 40 trucks/day is estimated for a period of 4 months corresponding to the preparation phase of the areas of the PRT construction site). For the purposes of estimating emissions of micropollutants by applying the COPERT IV programme, in order to assess the maximum possible interference, a conservative assumption was made that all 50 vehicles potentially involved in the construction activities described below are heavy trucks (32 t) powered by diesel engines that comply with EURO III emission standards. This is a conservative hypothesis due to the fact that more stringent guidelines concerning the limits of pollutant emissions for vehicles operating in the EU (EURO IV - V - VI) will be in place when the Project construction phase begins.

11 Page 11 of 22 SO x emissions were not considered since they are not included in the COPERT IV database of emission factors. Given current regulations regarding the presence of sulphur in automotive fuels, the SO x values can be considered to be negligible. Therefore, only the concentrations of NO x, CO and atmospheric particulate matter were simulated. Table 1-2 Emission factors for heavy duty vehicles (16-32 t) COPERT VI - Driving conditions in rural areas of vehicle: HDV/Diesel/28-32 t Pollutant Emission factor [g/km*vehicle] NO x CO PM 10 ** The emission factors presented in Table 1-2 were subsequently multiplied by the number of vehicles per hour, and the value obtained was associated with each link (linear stretch of road) input into the CALINE4 model. Again, it should be noted that conservative assumptions were made in estimating the number and type of vehicles and their transit conditions in order to maximise the emissions considered in the model and therefore the simulated ground level pollutant concentrations. Meteorological data The simulation model was set up using meteo-diffusive conditions that maximise the impact of ground-level pollutants. To achieve this, a sensitivity analysis was carried out to identify the worst weather conditions while maintaining constant emissions sources and road geometry. Based on the results obtained, the most critical conditions require a minimum wind speed of 0.5 m/s, and stability class A or F; simulations were then conducted using stability class F, which in absolute terms allowed the calculation of the maximum concentrations at all receptors selected. The boundary layer height was conservatively set to 100 m, since traffic emissions are unlikely to spread upwards. Boundary layer values of greater than metres do not produce any significant variations in ground-level concentrations. With regard to wind direction, the WORST CASE WIND ANGLE was used, which was specifically developed to identify the wind angle, maximising the ground-level pollutant concentrations at each receptor. The following meteorological conditions were used as input to the CALINE4 run performed in this study: Atmospheric Stability (Pasquill Gifford): F

12 Page 12 of 22 Wind speed: 0.5 m/s Temperature: 20 C Boundary layer height: 100 m. Results The simulation performed using the CALINE4 model produced the maximum hourly concentrations from vehicular traffic during onshore pipeline construction activities. The results are presented in both tabular and graphical format. An ID was associated with each receptor so that results could be unambiguously analysed at each receptor. Figure 1-3 below shows the position of each receptor along with their IDs, whereas Table 1-3 presents the concentrations of pollutants simulated at each receptor. These concentrations are compared with national and international air quality standards. It should be noted that when comparing the results with air quality standards, the simulated NO x concentrations were considered as Nitrogen dioxide (NO 2 ), but in reality only a part of NO x converts to NO 2, depending on different factors (solar radiation, temperature, concentration of hydrocarbons in the atmosphere, etc.). Therefore, the simulated concentrations of NO 2 have been overstated. Moreover, the simulated TSP concentrations were assumed to be PM10 for the purposes of comparing them with air quality standards, since the relationship between total atmospheric particulate matter and PM10 is not known for vehicular traffic emissions. This assumption is conservative as not all atmospheric particulate matter is PM10, therefore, the simulated PM10 concentrations have been overstated.

13 Page 13 of 22 Figure 1-3 Position and ID of receptors RECEPTOR ROAD

14 Page 14 of 22 Table 1-3 Receptor ID Results of the modelling analysis carried out using CALINE4 models: maximum hourly concentrations of CO, NO X and atmospheric particulate matter receptors. CO [µg/m 3 ] NOx [µg/m 3 ] TSP [µg/m 3 ]

15 Page 15 of 22 Receptor ID CO NOx TSP [µg/m 3 ] [µg/m 3 ] [µg/m 3 ] /50/EC and Legislative Decree 155/ (1) 200 (2) 50 (3) [µg/m³] IFC [µg/m³] (4) (1) Daily maximum 8-hour moving average CO levels (2 ) Maximum hourly NO x concentrations, which should not be exceeded more than 18 times per year. (3) Maximum daily PM10 concentrations, which should not be exceeded more than 35 times per year. (4) Refers to PM10 The results in Table 1-3 clearly show that, for the receptors included in the model, the CALINE 4 values calculated are considerably lower than the respective regulatory limits, even for receptors located 5 m from the centre of the roadway. Furthermore, the results in terms of maximum hourly concentrations were compared with stricter regulatory limits, referring to a longer averaging period (8 hours, daily average concentrations). In this regard, reflecting the limited emissions of the vehicles involved, it should be noted that the maximum hourly dust concentrations calculated in the worst meteorological conditions are still lower than the maximum average daily concentrations allowed, which can be exceeded 35 times in one year. Therefore, considering the conservative approach adopted in this analysis, the ground-level concentrations of pollutants produced by vehicular traffic are negligible. A very conservative approach was used, which resulted in the overestimation of both the flow of traffic and the pollutants emitted. Even the hourly NO x concentrations modelled were well within regulatory limits. A map of maximum hourly NO X concentrations (Figure 1-4) was produced to identify the receptors located in areas with maximum hourly NO X concentrations

16 Page 16 of 22 Figure 1-4 Vehicle Exhaust Dispersion Study - Maximum Hourly NO x Concentrations LEGEND SIMULATION DOMAIN MAXIMUM HOURLY NOx CONCENTRATIONS [µg/m³] Source: ERM (2013)

17 Page 17 of 22 The map of ground-level concentrations in Figure 1-4 shows how the highest hourly NO x concentrations modelled approximately 32 μg/m 3 were exclusively confined to 5 m either side of the roadway, while concentrations decreased significantly at greater distances. 1.3 Offshore Construction Phase The Project construction phase anticipates the use of marine vessels for the construction of the offshore section of the pipeline. In order to confirm the analysis (reported in the ESIA and the Supplement Document) of the impact that these emissions can have on the receptors located along the coast and, in general, on the mainland, a modelling study was carried out based on the emissions estimation method already presented in the ESIA. With regard to the other assessments carried out, the atmospheric dispersion of pollutants was analysed using the CALMET-CALPUFF modelling system (version 5.8) Quantification of Vessel Emissions The following table shows the number and type of vessels required for the project. It also indicates the vessels that will operate in the area surrounding the pipeline landfall in Italy, which were therefore considered in the estimation of the ground-level impact of costal emissions (as a precaution, all vessels were considered to be operating simultaneously at a distance of about 1 km from the coast). Table 1-4 Vessels Involved in the offshore pipeline construction of vessel Number Power [MW] Presence in San Foca Backhoe dredge 1 18 X Motopontoon 4 8 X Pielay barge X Anchor Handling Tug 3 12 X Pipe carrier barge 3 7 Supply vessel 3 12 Survey vessels 1 8 X Crew boat 1 2 Dive Support Vessel X Fall pipe vessel X The calculation of ship emissions in the area surrounding the pipeline landfall site in Italy (which is the portion of ship emissions that may have a potential impact on the air quality of the coast) is based on the Methodology for Estimating Air Pollutant Emissions from Transport (hereinafter MEET), described in detail in Annex 6 of the ESIA, which should be consulted for further details. The results of the estimates are shown in Table 1-5. The potential impact of NO x and CO emissions was analysed in relation to the significance of the emissions reported and national and international air quality standards, as they are the main pollutants, increased by an order of magnitude compared to PM and SO x due the fuel used by the vessels involved.

18 Page 18 of 22 Table 1-5 Estimation of atmospheric emissions of pollutants from vessels in the vicinity of the landfall area Pollutant Tonnes emitted NO x 36.8 CO Computational Domain The concentrations of pollutants caused by the emissions of vessels operating during the construction phase in the area surrounding the pipeline landfall were simulated on a computational domain of 20 km x 20 km. Figure 1-5 below shows the simulation domain used in the modelling analysis, highlighting the location of the offshore activity.

19 Page 19 of 22 Figure 1-5 Simulation domain Atmospheric dispersion of pollutants from construction activities LEGEND EXIT POINT OF THE MICROTUNNEL AND PRE-TRENCHING POINT SIMULATION DOMAIN METEOROLOGICAL DOMAIN ADMINISTRATIVE BOUNDARIES MUNICIPALITIES Source: ERM (2014)

20 Page 20 of Results The results of the modelling study are summarised in the table below. The conservative approach adopted for the study is described below as well as a comparison with the respective regulatory limits: When comparing the results with air quality standards, the simulated NO x concentrations were considered as Nitrogen dioxide (NO 2 ), but in reality only a part of NO x converts to NO 2, depending on different factors (solar radiation, temperature, concentration of hydrocarbons in the atmosphere, etc.). Therefore, the simulated concentrations of NO 2 have been overstated. The model does not account for dry and wet deposition of pollutants or photochemical reactions, which take place in reality and would reduce the atmospheric concentrations of pollutants. Thus, the CO and NO x emissions levels reflect this overestimation of the actual contribution of emission sources. Although the actual activity of the compressors will last less than a month, the timeframe chosen for meteorological purposes was the full year 2010 (8760 hours). This choice is conservative as it allows the assessment of ground-level concentrations of pollutants in the worst weather conditions that occurred during the simulated year. It should be noted that the analysis of the results reported in the following Table was conducted on the entire simulation domain. However, the maximum impact calculated by the model is located offshore and the onshore concentrations are lower, as can be seen in the ground-level concentrations of pollutants (Figure 2) presented for the most significant parameter (maximum hourly NO x concentrations). Table 1-6 Maximum concentrations in the computational domain Parameter Simulated concentrations [µg/m³] IFC Standard µg/m³] Limit 2008/50/EC and Legislative Decree 155/2010 [µg/m³] NO x 99.8th percentile of hourly average concentrations (1) (1) (3) Maximum hourly NO x Concentrations Annual average hourly NO x Concentrations maximum 8-hour moving average CO levels (2) (1) Corresponds to the maximum hourly NO 2 concentrations, which should not be exceeded more than 18 times per year. (2) daily maximum 8-hour moving average CO levels (3) Limits specified for NO2

21 Page 21 of 22 The Table clearly shows that the pollutant concentrations modelled fully comply with national and international air quality standards. The analysis in Figure 2 (maximum hourly NO x concentrations) shows that the maximum impact is offshore, near the area that will be affected by the activities of vessels and the corresponding values calculated on the coast are even lower than the limit (with maximum average hourly NO x concentrations equal to 51 µg/m³]). 1.4 Conclusion This document provides a detailed study on the potential impact of the construction phase of the Trans Adriatic Pipeline project on air quality and reports the results of additional modelling to that included in the ESIA and in the relative supplementary document. These additional models confirm the assessments already submitted by the proponent, and in particular the following: Onshore Construction Phase - temporary dust emissions from earthworks, excavation and the movement of construction vehicles on unpaved surfaces. The emissions used in the model were estimated by integrating the emission factors reported in the US-EPA AP "Heavy Construction Operations" with those reported in the AP "Aggregate Handling and storage piles and confirm the information provided in paragraph 37c (Section ) of the document Supplements to the Environmental and Social Impact Assessment submitted on 17 April It can therefore be concluded that even with the more detailed use of the US-EPA estimation methods to calculate the potential dust emissions rate during construction activities, the impact assessment does not vary in substance from the values submitted in the ESIA and it confirms the Low residual impact estimate of dust emissions from construction activities. - temporary emissions of exhaust gases into the atmosphere from vehicles used to transport materials. The traffic flows during the project construction phase were modelled using COPERT IV emission factors (Computer Programme to calculate Emissions from Road Traffic) published on ISPRA s SINAnet portal ( which are more up-to-date than the COPERT III emission factors used in the ESIA. The results obtained from this modelling analysis have already been reported in the document "Responses to Observations of the Public" submitted on 17 April 2014 and in relation to which this document provides the technical detail. The modelling analysis performed shows that the maximum hourly ground level concentration of pollutants (PM10, NO x, CO) produced by vehicles used to transport materials are considerably lower than the respective regulatory limits, even at 5 metres from the centre of the roadway.

22 Page 22 of 22 Offshore Construction Phase - marine traffic generated by vessels that operate along the stretch of coast surrounding the pipeline landfall in Italy. The modelling analysis performed shows that the ground level concentrations of pollutants (NO x and CO) fully comply with national and international air quality standards. This confirms the lack of significance of the impacts already discussed in the ESIA and in the supplemental document.

23

24

25

26

10.0 AIR QUALITY AND CLIMATIC FACTORS

10.0 AIR QUALITY AND CLIMATIC FACTORS .0 AIR QUALITY AND CLIMATIC FACTORS.1 ASSESSMENT METHODOLOGY.1.1 General Section 39 (2) (b) (ii) of the Transport (Railway Infrastructure) Act 2001, requires that proposed developments are examined in

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

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

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

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

3 CONSTRUCTION-GENERATED CRITERIA AIR POLLUTANT AND PRECURSOR EMISSIONS

3 CONSTRUCTION-GENERATED CRITERIA AIR POLLUTANT AND PRECURSOR EMISSIONS 3 CONSTRUCTION-GENERATED CRITERIA AIR POLLUTANT AND PRECURSOR EMISSIONS 3.1 INTRODUCTION Construction activities have the potential to generate a substantial amount of air pollution. In some cases, the

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

8 AIR AND CLIMATE Introduction

8 AIR AND CLIMATE Introduction Table of contents 8 AIR AND CLIMATE... 8-1 8.1 Introduction... 8-1 8.1.1 Scope of the Assessment... 8-1 8.1.2 Methodology... 8-1 8.1.3 Assessment Criteria for Air Quality... 8-2 8.1.4 National Legislation

More information

Integrated ESIA Greece Annex Ambient Air Quality

Integrated ESIA Greece Annex Ambient Air Quality Page 2 of 9 TABLE OF CONTENTS 1 INTRODUCTION 3 2 RELEVANT LEGISLATION AND STANDARDS 4 3 METHODOLOGY 5 3.1 Selection of Sample Points 5 3.2 Sampling Methodology and Samples Analysis 7 4 RESULTS 8 5 LIMITATIONS

More information

Modelling of air pollutants released from highway traffic in Hungary

Modelling of air pollutants released from highway traffic in Hungary Air Pollution XVI 77 Modelling of air pollutants released from highway traffic in Hungary Gy. Baranka Hungarian Meteorological Service, Hungary Abstract The aim of study is to determine the CO and NO 2

More information

Chapter 6 CO, PM 10, and Other Pollutant Air Quality Impacts and Mitigation For Project Operation

Chapter 6 CO, PM 10, and Other Pollutant Air Quality Impacts and Mitigation For Project Operation Chapter 6 CO, PM 10, and Other Pollutant Air Quality Impacts and Mitigation For Project Operation 6.1 Introduction This Chapter addresses the recommended techniques for quantifying emissions of carbon

More information

Air Quality Modelling in Environmental Impact Assessment Studies of Different Sectors

Air Quality Modelling in Environmental Impact Assessment Studies of Different Sectors Air Quality Modelling in Environmental Impact Assessment Studies of Different Sectors T.V.B.P.S. Rama Krishna and S.R. Wate Environmental Impact & Risk Assessment Division CSIR National Environmental Engineering

More information

Riverside New Urbanism Project

Riverside New Urbanism Project Riverside New Urbanism Project Task 2.2 Neighborhood Traffic and Air Pollution Modeling Final Report By Ji Luo Kanok Boriboonsomsin College of Engineering - Center for Environmental Research and Technology

More information

SOUTH COAST AIR QUALITY MANAGEMENT DISTRICT. Final Methodology to Calculate Particulate Matter (PM) 2.5 and PM 2.5 Significance Thresholds

SOUTH COAST AIR QUALITY MANAGEMENT DISTRICT. Final Methodology to Calculate Particulate Matter (PM) 2.5 and PM 2.5 Significance Thresholds SOUTH COAST AIR QUALITY MANAGEMENT DISTRICT Final Methodology to Calculate Particulate Matter (PM) 2.5 and PM 2.5 Significance Thresholds October 2006 Executive Officer Barry R. Wallerstein, D. Env. Deputy

More information

Intermodal Logistics Centre at Enfield Environmental Assessment CHAPTER 12 AIR QUALITY ASSESSMENT

Intermodal Logistics Centre at Enfield Environmental Assessment CHAPTER 12 AIR QUALITY ASSESSMENT Intermodal Logistics Centre at Enfield Environmental Assessment CHAPTER 12 AIR QUALITY ASSESSMENT October 2005 Contents 12. 12-1 12.1 Introduction 12-1 12.2 Factors Affecting Air Quality 12-1 12.3 Air

More information

AIR QUALITY MODELLING OF STRATEGIC TRAFFIC DEMAND MANAGEMENT STRATEGIES

AIR QUALITY MODELLING OF STRATEGIC TRAFFIC DEMAND MANAGEMENT STRATEGIES ABSTRACT AIR QUALITY MODELLING OF STRATEGIC TRAFFIC DEMAND MANAGEMENT STRATEGIES Anil Namdeo and Margaret C Bell Institute for Transport Studies University of Leeds, Leeds LS2 9JT, UK anamdeo@its.leeds.ac.uk

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

AIR QUALITY ASSESSMENT RICHARD ATHERTON MANCHESTER ROAD, RAMSBOTTOM, BURY REPORT DATE: 14TH JUNE 2016 REPORT NUMBER: on behalf of.

AIR QUALITY ASSESSMENT RICHARD ATHERTON MANCHESTER ROAD, RAMSBOTTOM, BURY REPORT DATE: 14TH JUNE 2016 REPORT NUMBER: on behalf of. AIR QUALITY ASSESSMENT on behalf of RICHARD ATHERTON for MANCHESTER ROAD, RAMSBOTTOM, BURY REPORT DATE: 14TH JUNE 2016 REPORT NUMBER: 101289 Miller Goodall Ltd Ground Floor Ashworth House Deakins Business

More information

Alternative 3: San Vicente 50,000 AF + Moosa 50,000 AF Air Quality

Alternative 3: San Vicente 50,000 AF + Moosa 50,000 AF Air Quality 5.5 This section evaluates the potential impacts of the SV 50K/Moosa 50K Alternative on air quality. This evaluation includes an assessment of the direct, indirect, construction-related, longterm, and

More information

Appendix 14.2 Air Quality Modelling Study

Appendix 14.2 Air Quality Modelling Study Appendix 14.2 Air Quality Modelling Study Volume 3: Environmental Statement Further Information Report Appendices Brent Cross Cricklewood: Phase 1B (North) FIR N:\Projects\WIE11453\100\8_Reports\2. ES\Volume

More information

Jennings O Donovan & Partners Consulting Engineers Sligo

Jennings O Donovan & Partners Consulting Engineers Sligo 8.0 AIR QUALITY 8.1 INTRODUCTION 8.1.1 Background Despite the ongoing deterioration in air quality on a national level due to the reliance on fossil fuel generated energy, Ireland as a whole is relatively

More information

FINAL. AIR QUALITY ASSESSMENT OF THE McCORMICK PIT

FINAL. AIR QUALITY ASSESSMENT OF THE McCORMICK PIT FINAL AIR QUALITY ASSESSMENT OF THE McCORMICK PIT Prepared for: Harrington McAvan Limited 6882 14 th Avenue Markham, Ontario L6B 1A8 Prepared by: SENES Consultants Limited 121 Granton Drive, Unit 12 Richmond

More information

4.2 Air Quality and Greenhouse Gas

4.2 Air Quality and Greenhouse Gas 4.2 Air Quality and Greenhouse Gas Federal agencies are required under the Clean Air Act (CAA) to ensure that projects they fund (such as the Center City Connector) are in compliance with existing federal

More information

MODELLING OF VARIATION IN VEHICULAR POLLUTION CONCENTRATION WITH TIME PERIOD AND SEASON

MODELLING OF VARIATION IN VEHICULAR POLLUTION CONCENTRATION WITH TIME PERIOD AND SEASON MODELLING OF VARIATION IN VEHICULAR POLLUTION CONCENTRATION WITH TIME PERIOD AND SEASON Awkash Kumar* Ph.D. Research Scholar, Centre for Environmental Science and Engineering, Indian Institute of Technology,

More information

F.1 Construction Emissions

F.1 Construction Emissions . Air Quality Analysis The methods used to calculate emissions of carbon monoxide (CO), volatile organic compounds (VOCs), oxides of nitrogen (NO X ), sulfur oxides (SO X ), particulate matter less than

More information

PREPARED BY: Demos Dracoulides. CAPE TOWN PO Box 60034, 7439 Table View, Cape Tel: Fax:

PREPARED BY: Demos Dracoulides. CAPE TOWN PO Box 60034, 7439 Table View, Cape Tel: Fax: Relocation of Acacia and Port Rex Gas Turbines to Ankerlig Power Station Air Quality Impact Assessment Summary Report PREPARED BY: Demos Dracoulides CAPE TOWN PO Box 60034, 7439 Table View, Cape Tel: 021

More information

The assessment is based upon the design ore production of 95 million tonnes / annum.

The assessment is based upon the design ore production of 95 million tonnes / annum. 9A Air Quality Assessment Supporting Information This annex sets out the detailed methodology, input data and criteria for the assessment. The overarching assessment approach is detailed in Chapter 9:

More information

AIR QUALITY IMPACT ANALYSIS FINAL REVIEW REPORT GREGORY CANYON LANDFILL PROJECT APPLICATION August 5, 2013

AIR QUALITY IMPACT ANALYSIS FINAL REVIEW REPORT GREGORY CANYON LANDFILL PROJECT APPLICATION August 5, 2013 AIR QUALITY IMPACT ANALYSIS FINAL REVIEW REPORT GREGORY CANYON LANDFILL PROJECT APPLICATION 985364 August 5, 2013 Prepared For Mechanical Engineering San Diego Air Pollution Control District 10124 Old

More information

Air Quality Modelling Methodology

Air Quality Modelling Methodology ENVIRONMENTAL INFORMATION REPORT VOLUME 4 APPENDIX 7. 2 Air Quality Modelling Methodology Table of Contents Section Page 1 Air Quality Modelling Methodology... 1-1 1.1 Introduction... 1-1 1.2 Meteorological

More information

Ambient Air Quality and noise Measurements Report Gas pressure reduction station in Marsa Matrouh Governorate

Ambient Air Quality and noise Measurements Report Gas pressure reduction station in Marsa Matrouh Governorate Ambient Air Quality and noise Measurements Report Gas pressure reduction station in Marsa Matrouh Governorate CONTENTS CONTENTS 1 1. INTRODUCTION 2 1.1 Objectives... 2 1.2 Scope of Work... 3 1.2.1 Sampling

More information

The environmental impact of urban transport: a case study for a new road in Catania province

The environmental impact of urban transport: a case study for a new road in Catania province Urban Transport XIII: Urban Transport and the Environment in the 21st Century 699 The environmental impact of urban transport: a case study for a new road in Catania province F. Patania, A. Gagliano, F.

More information

THE ARIZONA CONSTRUCTION EMISSIONS FIELD STUDY

THE ARIZONA CONSTRUCTION EMISSIONS FIELD STUDY THE ARIZONA CONSTRUCTION EMISSIONS FIELD STUDY Stephen B. Reid*, Paul T. Roberts, Douglas S. Eisinger, and Neil J.M. Wheeler Sonoma Technology, Inc., Petaluma, CA, USA 1. INTRODUCTION Diesel-powered construction

More information

VEHICLE PARTICULATE EMISSIONS ANALYSIS

VEHICLE PARTICULATE EMISSIONS ANALYSIS VEHICLE PARTICULATE EMISSIONS ANALYSIS Prepared for ARIZONA DEPARTMENT OF TRANSPORTATION TRANSPORTATION PLANNING DIVISION MPOs/COGs AIR QUALITY POLICY AND LOCAL PROGRAMS SECTION AND YUMA METROPOLITAN PLANNING

More information

Modelling the effects of traffic emissions on the air quality

Modelling the effects of traffic emissions on the air quality Air Pollution XIII 49 Modelling the effects of traffic emissions on the air quality G. Genon & E. Brizio Turin Polytechnic, Italy Abstract European directives 1999/30/CE and 2000/69/CE set severe limits

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

Statutory Nuisance Statement

Statutory Nuisance Statement August 2013 Statutory Nuisance Statement Pursuant to Regulation 5(2)(f) of the Infrastructure Planning (Applications: Prescribed Forms and Procedure) Regulations 2009 Application reference: 7.3 F-ONC-RP-002

More information

8 AIR QUALITY ASSESSMENT

8 AIR QUALITY ASSESSMENT Environmental Impact Statement Dairygold Mallow Redevelopment Chapter 8 AIR QUALITY 8 AIR QUALITY ASSESSMENT 8.1 INTRODUCTION This chapter describes the potential impacts to the ambient air quality from

More information

Ambient Air Quality and noise Measurements Report Gas pipeline network at Farshout- Naqada, Waqf, and Qeft - Qena governorate

Ambient Air Quality and noise Measurements Report Gas pipeline network at Farshout- Naqada, Waqf, and Qeft - Qena governorate Ambient Air Quality and noise Measurements Report Gas pipeline network at Farshout- Naqada, Waqf, and Qeft - Qena governorate CONTENTS CONTENTS 2 1. INTRODUCTION 4 1.1 Objectives... 4 1.2 Scope of Work...

More information

Construction Air Quality Assessment Yonge Subway Extension Train Storage and Maintenance Facility Toronto, Ontario

Construction Air Quality Assessment Yonge Subway Extension Train Storage and Maintenance Facility Toronto, Ontario Yonge Subway Extension Train Storage and Maintenance Facility Toronto, Ontario Novus Reference No. 12-0111 Version No. FINAL NOVUS PROJECT TEAM: Project Manager: Scott Shayko, Hon.B.Comm, B.Sc. Senior

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

Changes to Air Quality

Changes to Air Quality Changes to Air Quality Identifying how the Detroit River International Crossing (DRIC) study alternatives may change air quality is an important consideration in the DRIC Environmental Assessment. Air

More information

Study of microscale urban air dispersion by ADMS - Urban

Study of microscale urban air dispersion by ADMS - Urban Study of microscale urban air dispersion by ADMS - Urban Jason P.L. Huang Atmospheric, Marine and Coastal Environment Program (AMCE), The Hong Kong University of Science & Technology Jimmy C.H. Fung Department

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

Evaluation of a revised emission inventory in the Metropolitan Area of Sao Paulo, Brazil, based on a photochemical model approach

Evaluation of a revised emission inventory in the Metropolitan Area of Sao Paulo, Brazil, based on a photochemical model approach Evaluation of a revised emission inventory in the Metropolitan Area of Sao Paulo, Brazil, based on a photochemical model approach M. G. Vivanco & M. de Fátima Andrade CIEMAT (Spain)-IAG-USP (Brazil) Abstract

More information

YORK TOLL PLAZA MAINE TURNPIKE AUTHORITY AIR QUALITY REPORT. September 28, 2016 NOISE ANALYSIS REPORT MAINETURNPIKE AUTHORI TY

YORK TOLL PLAZA MAINE TURNPIKE AUTHORITY AIR QUALITY REPORT. September 28, 2016 NOISE ANALYSIS REPORT MAINETURNPIKE AUTHORI TY NOISE ANALYSIS REPORT MAINETURNPIKE AUTHORI TY YORK TOLL PLAZA MAINE TURNPIKE AUTHORITY AIR QUALITY REPORT September 28, 2016 (Cover photograph provided by MTA) TABLE OF CONTENTS 1.0 EXECUTIVE SUMMARY...

More information

This summary and the Report subsequently inform the recommended mitigation contained in Section 28 and will inform the Project conditions.

This summary and the Report subsequently inform the recommended mitigation contained in Section 28 and will inform the Project conditions. 18. Air The Project Air quality team prepared an Air Quality Assessment Report for the Project, which is included in Volume 3 (Part 1). The Report provides an assessment of air quality effects associated

More information

F3. Final Air Quality & Odour Net Effects Analysis & Comparative Evaluation Report

F3. Final Air Quality & Odour Net Effects Analysis & Comparative Evaluation Report F3. Final Air Quality & Odour Net Effects Analysis & Comparative Evaluation Report Clean Harbors Canada Inc. Lambton Landfill Expansion Environmental Assessment Air Quality & Odour Net Effects Analysis

More information

Draft Air Quality & Odour Net Effects Analysis & Comparative Evaluation Report

Draft Air Quality & Odour Net Effects Analysis & Comparative Evaluation Report Clean Harbors Canada Inc. Lambton Landfill Expansion Environmental Assessment Draft Air Quality & Odour Net Effects Analysis & Prepared By: JANUARY, 2014 Executive Summary Two expansion alternatives were

More information

IMPACTS OF PROPOSED OIL PRODUCTION ON NEAR SURFACE OZONE CONCENTRATIONS IN THE CASPIAN SEA REGION

IMPACTS OF PROPOSED OIL PRODUCTION ON NEAR SURFACE OZONE CONCENTRATIONS IN THE CASPIAN SEA REGION IMPACTS OF PROPOSED OIL PRODUCTION ON NEAR SURFACE OZONE CONCENTRATIONS IN THE CASPIAN SEA REGION J. Wayne Boulton*, Jeff Lundgren, Roger Barrowcliffe, Martin Gauthier RWDI, Guelph, Ontario, Canada Zachariah

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

F3. Draft Air Quality & Odour Net Effects Analysis & Comparative Evaluation Report

F3. Draft Air Quality & Odour Net Effects Analysis & Comparative Evaluation Report F3. Draft Air Quality & Odour Net Effects Analysis & Comparative Evaluation Report Clean Harbors Canada Inc. Lambton Landfill Expansion Environmental Assessment Draft Air Quality & Odour Net Effects Analysis

More information

Transportation Conformity Guidance for Qualitative Hot-spot Analyses in PM 2.5 and PM 10 Nonattainment and Maintenance Areas

Transportation Conformity Guidance for Qualitative Hot-spot Analyses in PM 2.5 and PM 10 Nonattainment and Maintenance Areas Transportation Conformity Guidance for Qualitative Hot-spot Analyses in PM 2.5 and PM 10 Nonattainment and Maintenance Areas United States Environmental Protection Agency Federal Highway Administration

More information

The results of CAIMANs project FUTURE TIME AIR DISPERSION MODEL RESULTS FOR THE TREND SCENARIO. Anastasia Poupkou AUTH

The results of CAIMANs project FUTURE TIME AIR DISPERSION MODEL RESULTS FOR THE TREND SCENARIO. Anastasia Poupkou AUTH The results of CAIMANs project FUTURE TIME AIR DISPERSION MODEL RESULTS FOR THE TREND SCENARIO Anastasia Poupkou AUTH Mitigation Air Pollution in the Mediterranean Port Cities Venice, 12th June 2015 Air

More information

Air quality pollution from traffic and point sources in Skopje assessed with different air pollution models

Air quality pollution from traffic and point sources in Skopje assessed with different air pollution models International Scientific Conference Air quality pollution from traffic and point sources in Skopje assessed with different air pollution models Kosta Mitreski, Martina Toceva, Nikola Koteli, Ljupco Karajanovski

More information

4.4 AIR QUALITY Approach to Analysis

4.4 AIR QUALITY Approach to Analysis 4.4 AIR QUALITY Section 4.4 addresses the potential impacts to air quality as a result of the proposed action. Air quality can be affected by air pollutants produced by mobile sources, such as vehicular

More information

Carbon footprint report 2013

Carbon footprint report 2013 Carbon footprint report 2013 For DEME activities in Belgium and the Netherlands; in accordance with the CO2 Performance ladder in Ton CO2 Rev. 2014-04-02 Uncontrolled if printed. Most recent version is

More information

DOES ELECTRIC VEHICLE INTRODUCTION IN THE CAR FLEET IMPROVE THE AIR QUALITY?

DOES ELECTRIC VEHICLE INTRODUCTION IN THE CAR FLEET IMPROVE THE AIR QUALITY? DOES ELECTRIC VEHICLE INTRODUCTION IN THE CAR FLEET IMPROVE THE AIR QUALITY? Stefano Alessandrini 1, Alessia Balanzino 2, Maurizio Riva 1, Enrico Ferrero 2, 1 RSE; Milano, Italy 2 Dipartimento di Scienze

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

16.1 Introduction and Methodology

16.1 Introduction and Methodology Chapter 16 Air Quality and Climate 16.1 Introduction and Methodology This chapter of the EIS assesses the impacts on air quality and climate associated with both the construction and operational phases

More information

Present time air dispersion model results ARPAV, IDAEA, AirPACA, UNIGE, AUTH

Present time air dispersion model results ARPAV, IDAEA, AirPACA, UNIGE, AUTH Present time air dispersion model results ARPAV, IDAEA, AirPACA, UNIGE, AUTH Federico Cassola - UNIGE Mitigating Air Pollution in the Mediterranean Port Cities The results of CAIMANs Project Venice, 12th

More information

Yellowstone National Park Winter Use Plan. Air Quality Analysis of Snowmobile and Snowcoach Emissions

Yellowstone National Park Winter Use Plan. Air Quality Analysis of Snowmobile and Snowcoach Emissions Yellowstone National Park 2004-05 Winter Use Plan Air Quality Analysis of Snowmobile and Snowcoach Emissions July 29, 2004 Air Resource Specialists 1901 Sharp Point Drive, Suite E Fort Collins, Colorado

More information

Air Quality Standards Regulations 2011 (based on EU Council Directive 2008/50/EC. to be exceeded more than 18 times/year

Air Quality Standards Regulations 2011 (based on EU Council Directive 2008/50/EC. to be exceeded more than 18 times/year 9. AIR, DUST AND CLIMATIC FACTORS 9.1 Introduction This report has been prepared by AWN to form part of an EIAR for the proposed residential development at Wonderful Barn, Barnhall, Leixlip. The chapter

More information

A. INTRODUCTION AND METHODOLOGY

A. INTRODUCTION AND METHODOLOGY Chapter 11: Air Quality A. INTRODUCTION AND METHODOLOGY This chapter and its accompanying appendix (Appendix I) present a project-level analysis of the potential local and regional air quality impacts

More information

Appendix H: Air Quality Assessment Report

Appendix H: Air Quality Assessment Report Appendix H: Air Quality Assessment Report London Bus Rapid Transit Transit Project Assessment Process Environmental Project Report DRAFT April 2018 P R E PA R E D BY LONDON BUS RAPID TRANSIT AIR QUALITY

More information

CR Tabs_Main:Layout 1 14/5/09 3:15 PM Page 10 Air Quality 10

CR Tabs_Main:Layout 1 14/5/09 3:15 PM Page 10 Air Quality 10 Air Quality 10 10 Air Quality The air quality assessment for the Caval Ridge Project has considered the potential release of dust from the site due to earth moving and mining activities associated with

More information

Local Air Quality Assessment Trafalgar Road from Steeles Avenue to Highway 7 Town of Halton Hills, Ontario

Local Air Quality Assessment Trafalgar Road from Steeles Avenue to Highway 7 Town of Halton Hills, Ontario Local Air Quality Assessment Trafalgar Road from Steeles Avenue to Highway 7 Town of Halton Hills, Ontario Novus Reference No. 13-0251 Version No. Final NOVUS PROJECT TEAM: Engineer: Project Manager: Jenny

More information

Bahrain LNG Environmental Impact Assessment (2014) Summary

Bahrain LNG Environmental Impact Assessment (2014) Summary Bahrain LNG Environmental Impact Assessment (2014) Summary Summary WorleyParsons was engaged to complete an Environmental Impact Assessment (EIA) for Bahrain LNG (BLNG) in 2014. This document provides

More information

EVALUATION OF RESUSPENSION OF ROAD DUST IN A CEMENT INDUSTIAL COMPLEX AREA

EVALUATION OF RESUSPENSION OF ROAD DUST IN A CEMENT INDUSTIAL COMPLEX AREA International Journal of GEOMATE, May, 2017, Vol.12 Issue 33, pp.96-103 Geotec., Const. Mat. & Env., ISSN:2186-2990, Japan, DOI: http://dx.doi.org/10.21660/2017.33.2628 EVALUATION OF RESUSPENSION OF ROAD

More information

(a) The qualities of the air environment that are conducive to protecting the health and biodiversity of ecosystems;

(a) The qualities of the air environment that are conducive to protecting the health and biodiversity of ecosystems; 4.6 AIR ASK Consulting Engineers (ASK) was commissioned by AARC on behalf of Taroom Coal to carry out an air quality impact and greenhouse gas assessment for the construction and operation of the proposed

More information

BEFORE THE ENVIRONMENTAL PROTECTION AUTHORITY

BEFORE THE ENVIRONMENTAL PROTECTION AUTHORITY BEFORE THE ENVIRONMENTAL PROTECTION AUTHORITY IN THE MATTER of the Exclusive Economic Zone and Continental Shelf (Environmental Effects) Act 2012 AND IN THE MATTER of an Application under Section 38 of

More information

January 2019 Our Ref: RE: Air Quality Impact Assessment - Major Mackenzie Drive EA, Highway 400 to Jane Street

January 2019 Our Ref: RE: Air Quality Impact Assessment - Major Mackenzie Drive EA, Highway 400 to Jane Street January 2019 Our Ref: 476323 RE: Air Quality Impact Assessment - Major Mackenzie Drive EA, Highway 400 to Jane Street As a supplementary document to the Air Quality Impact Assessment for the Major Mackenzie

More information

APPENDIX E: RECORD OF NON-APPLICABILITY AND AIR QUALITY DATA

APPENDIX E: RECORD OF NON-APPLICABILITY AND AIR QUALITY DATA APPENDIX E: RECORD OF NON-APPLICABILITY AND AIR QUALITY DATA INTRODUCTION RECORD OF NON-APPLICABILITY (RONA) FOR THE PROPOSED SECTION 408 APPLICATION FOR CITY OF DALLAS MODIFICATIONS TO THE DALLAS FLOODWAY

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

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

Air Quality Technical Report PM2.5 Quantitative Hot spot Analysis. A. Introduction. B. Interagency Consultation

Air Quality Technical Report PM2.5 Quantitative Hot spot Analysis. A. Introduction. B. Interagency Consultation Air Quality Technical Report PM2.5 Quantitative Hot spot Analysis I 65, SR44 to Southport Road (Segmented from SR44 to Main Street and Main Street to Southport Road) A. Introduction This technical report

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

1. ORIGINAL CONSTRUCTION SEQUENCE PRESENTED IN THE APPROVED EIA REPORT

1. ORIGINAL CONSTRUCTION SEQUENCE PRESENTED IN THE APPROVED EIA REPORT 1. ORIGINAL CONSTRUCTION SEQUENCE PRESENTED IN THE APPROVED EIA REPORT The original construction sequence of the northern landfall reclamation of the Project is illustrated in Figure 3 of the EP-354/2009A

More information

Figures. Tables. J339 OMAS ESIA Page 1 of 39

Figures. Tables. J339 OMAS ESIA Page 1 of 39 TABLE OF CONTENTS 7. AIR QUALITY... 3 7.1 INTRODUCTION...3 7.1.1 Objectives... 3 7.1.2 Overview of Key Issues and Emission Sources... 3 7.2 SUMMARY OF POLICY CONTEXT...3 7.2.1 International Standards...

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

BALTIC PIPE BALTIC SEA - DENMARK CONSTRUCTION PERMIT APPLICATION SUMMARY

BALTIC PIPE BALTIC SEA - DENMARK CONSTRUCTION PERMIT APPLICATION SUMMARY Intended for Danish Energy Agency Document type Date January 2019 BALTIC PIPE BALTIC SEA - DENMARK CONSTRUCTION PERMIT APPLICATION SUMMARY BALTIC SEA - DENMARK CONSTRUCTION PERMIT APPLICATION SUMMARY Revision

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

Job Name: London School of Hygiene & Tropical Medicine, Tavistock Place, London

Job Name: London School of Hygiene & Tropical Medicine, Tavistock Place, London Job Name: London School of Hygiene & Tropical Medicine, 15-17 Tavistock Place, London Job No: 42230 Note No: AQ001 Date: 20 th June 2018 Prepared By: G.Harker Subject: Air Quality Dust Risk Assessment

More information

Experimental research about gaseous emissions coming from multi-floor parks: a real case in Taormina (Italy)

Experimental research about gaseous emissions coming from multi-floor parks: a real case in Taormina (Italy) Urban Transport XII: Urban Transport and the Environment in the 21st Century 633 Experimental research about gaseous emissions coming from multi-floor parks: a real case in Taormina (Italy) F. Patania,

More information

Environmental and Social Impact Assessment Report (ESIA) Part 5

Environmental and Social Impact Assessment Report (ESIA) Part 5 Environmental and Social Impact Assessment Report (ESIA) Part 5 Project Number: 51112-001 August 2018 INO: Jawa-1 LNG to Power Project Prepared by ERM for PT Jawa Satu Power (JSP) The environmental and

More information

13. ATMOSPHERIC EMISSIONS & AIR QUALITY

13. ATMOSPHERIC EMISSIONS & AIR QUALITY 13. ATMOSPHERIC EMISSIONS & AIR QUALITY 13.1 RECEIVING ENVIRONMENT Air pollution is a local, regional and global problem that results from anthropogenic activity. The impact of air pollutants is wide and

More information

Air Quality Modelling for Cycle Enfield. 21 st January 2016

Air Quality Modelling for Cycle Enfield. 21 st January 2016 Air Quality Modelling for Cycle Enfield 21 st January 2016 Introduction Cycle Enfield is proposing to introduce segregated cycle lanes along the A1010, A105 and A110 Further measures: Free cycle training

More information

Executive Summary. Table 1: National emission ceilings for Italy. COV (kton/y) NOx (kton/y)

Executive Summary. Table 1: National emission ceilings for Italy. COV (kton/y) NOx (kton/y) NATIONAL PROGRAMME FOR THE PROGRESSIVE REDUCTION OF ANNUAL NATIONAL EMISSIONS OF SULPHUR DIOXIDE, NITROGEN OXIDES, VOLATILE ORGANIC COMPOUNDS AND AMMONIA December 2006 Executive Summary Summary of implemented

More information

Appendix A Emission Quantification Techniques

Appendix A Emission Quantification Techniques Appendix A Emission Quantification Techniques EMISSION QUANTIFICATION TECHNIQUES Fugitive dust emission rates and particle size distributions are difficult to quantify because of the diffuse and variable

More information

4 Air quality

4 Air quality 4 Air quality 2 23 Key messages Significant improvements in air quality are expected by 23. However, long-term air quality objectives are unlikely to be met in all Member States by 23. This would still

More information

An innovative study of noise and atmospheric pollution emission by urban vehicular traffic

An innovative study of noise and atmospheric pollution emission by urban vehicular traffic An innovative study of noise and atmospheric pollution emission by urban vehicular traffic L. M. Caligiuri, A. Reda & A. Sabato Department of Mechanics, Faculty of Engineering, University of Calabria Via

More information

Millipore Thermal Oxidiser Emissions Dispersion Modelling Impact Assessment

Millipore Thermal Oxidiser Emissions Dispersion Modelling Impact Assessment Millipore Thermal Oxidiser Emissions Dispersion Modelling Impact Assessment Issue No 2 45078628 EPA Export 25-07-2013:19:52:54 Project Title: Report Title: Millipore Thermal Oxidiser Emissions Project

More information

H AIR QUALITY MODELLING OF ROAD PROJECTS USING A 3D COMPUTATIONAL FLUID DYNAMICS (CFD) MODEL. Malo Le Guellec, Lobnat Ait Hamou, Amita Tripathi

H AIR QUALITY MODELLING OF ROAD PROJECTS USING A 3D COMPUTATIONAL FLUID DYNAMICS (CFD) MODEL. Malo Le Guellec, Lobnat Ait Hamou, Amita Tripathi H13-198 AIR QUALITY MODELLING OF ROAD PROJECTS USING A 3D COMPUTATIONAL FLUID DYNAMICS (CFD) MODEL Malo Le Guellec, Lobnat Ait Hamou, Amita Tripathi FLUIDYN France, Saint-Denis, France Abstract: The air

More information

Table of Contents. (a) APPLICABILITY... 1 (b) EXEMPTIONS... 1 (c) DEFINITIONS... 1 (d) STANDARDS... 2

Table of Contents. (a) APPLICABILITY... 1 (b) EXEMPTIONS... 1 (c) DEFINITIONS... 1 (d) STANDARDS... 2 RULE 20.4 NEW SOURCE REVIEW PORTABLE EMISSION UNITS (ADOPTED AND EFFECTIVE 5/17/94) (REV. ADOPTED AND EFFECTIVE 12/17/97) (REV. ADOPTED 11/4/98; EFFECTIVE 12/17/98) (REV. ADOPTED AND EFFECTIVE 4/27/16)

More information

BART Control Technology Visibility Improvement Modeling Analysis Guidance

BART Control Technology Visibility Improvement Modeling Analysis Guidance BART Control Technology Visibility Improvement Modeling Analysis Guidance Air Pollution Control Division / Technical Services Program This document presents the Air Pollution Control Division (Division)

More information

Model Evaluation and SIP Modeling

Model Evaluation and SIP Modeling Model Evaluation and SIP Modeling Joseph Cassmassi South Coast Air Quality Management District Satellite and Above-Boundary Layer Observations for Air Quality Management Workshop Boulder, CO May 9, 2011

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

Marine Facilities for LNG Carrier Transfer Alternatives

Marine Facilities for LNG Carrier Transfer Alternatives 2.3.3.2 Marine Facilities for LNG Carrier Transfer Alternatives Two alternatives were considered for the marine facilities to support the transfer of LNG between the LNG carriers and onshore storage tanks.

More information

24 August Leanne Cross Senior Environmental Planner KDC Via

24 August Leanne Cross Senior Environmental Planner KDC Via 24 August 2018 Leanne Cross Senior Environmental Planner KDC Via email: Leanne@kdc.com.au RE: Air Quality Assessment Proposed Mt Piper Rail Loop Modification Dear Leanne, Todoroski Air Sciences has assessed

More information

Brunswick Layover Environmental Assessment (EA) Appendix D: Air Quality Assessment. September 2013

Brunswick Layover Environmental Assessment (EA) Appendix D: Air Quality Assessment. September 2013 Brunswick Layover Environmental Assessment (EA) Appendix D: Air Quality Assessment September 2013 BRUNSWICK RAIL MAINTENANCE FACILITY POTENTIAL AIR QUALITY IMPACTS OF PROPOSED FACILITY ON NEARBY SENSITIVE

More information

Diesel Powered Generators for STOR & Balancing Market: NO X Modelling & Impact Assessment Guidance

Diesel Powered Generators for STOR & Balancing Market: NO X Modelling & Impact Assessment Guidance Diesel Powered Generators for STOR & Balancing Market: NO X Modelling & Impact Assessment Guidance Alun Roberts-Jones Advisor, Air Quality Modelling and Assessment Unit (AQMAU) Environment Agency 4 December

More information