NRPB-W3 Atmospheric Dispersion Modelling Liaison Committee
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ARCOPOL the Atlantic Regions' Coastal Pollution Response
Airborne Pollution Propagation from water incidents: State of the art of air pollution models Activity 4 Task 4.2.1 ARCOPOL The Atlantic Regions’ Coastal Pollution Response Version: Version 2 Last updated on: 05/11/2010 Author: Meteogalicia Responsible partner: IST Involved partners: CETMAR, Meteogalicia, INTECMAR, IST, CIIMAR, EGMASA, Irish Marine Institute, Bretagne Region, Aquitaine Region Table of contents 1. Executive Summary .............................................................................................................. 3 2. Context and aims of the task ............................................................................................... 3 2.1. Summary of the 2008 Air Quality Directive ..................................................... 4 2.1.1. Concepts and definitions..................................................................................... 4 2.2. Where does the Air Quality Directive apply? .................................................. 6 2.2.1. Limits and target values for the protection of human health......................... 7 2.2.2. Limits and target values for the protection of vegetation............................... 9 2.2.3. Air quality web portals in Europe .................................................................... 9 3. Methodology........................................................................................................................ 12 3.1. When can models be used for the assessment of existing air quality? ....... 12 3.2. Combined use of measurements -
Climate Change
TRANSPORTATION RESEARCH Number E-C271 May 2021 Critical Issues in Aviation and the Environment 2021 TRANSPORTATION RESEARCH BOARD 2020 EXECUTIVE COMMITTEE OFFICERS Chair: Carlos M. Braceras, Executive Director, Utah Department of Transportation, Salt Lake City Vice Chair: Susan A. Shaheen, Adjunct Professor, Co-Director, Transportation Sustainability Research Center, University of California, Berkeley Division Chair for NRC Oversight: Chris Hendrickson, Hamerschlag University Professor Emeritus, Carnegie Mellon University, Pittsburgh, Pennsylvania Executive Director: Neil J. Pedersen, Transportation Research Board TRANSPORTATION RESEARCH BOARD 2020–2021 TECHNICAL ACTIVITIES COUNCIL Chair: Hyun-A C. Park, President, Spy Pond Partners, LLC, Arlington, Massachusetts Technical Activities Director: Ann M. Brach, Transportation Research Board Richard Bornhorst, Principal, FACTOR, Inc., Silver Spring, Maryland, Freight Systems Group Chair Michael Griffith, Director, Office of Safety Technologies, Federal Highway Administration, Washington, D.C., Safety and Operations Group Chair George Avery Grimes, CEO Advisor, Patriot Rail Company, Denver, Colorado, Rail Group Chair Brendon Hemily, Principal, Hemily and Associates, Toronto, Ontario, Public Transportation Group Chair Nikola Ivanov, Deputy Director, Center for Advanced Transportation Technology Laboratory, University of Maryland, College Park, Young Members Council Chair Pamela Keidel-Adams, Regional Vice President, Kimley-Horn and Associates, Inc., Mesa, Arizona, Aviation Group Chair C. James -
Atmospheric Aerosol Properties and Climate Impacts
Atmospheric Aerosol Properties and Climate Impacts U.S. Climate Change Science Program Synthesis and Assessment Product 2.3 January 2009 FEDERAL EXECUTIVE TEAM Director, Climate Change Science Program: ................................William J. Brennan Director, Climate Change Science Program Office: .....................Peter A. Schultz Lead Agency Principal Representative to CCSP, Associate Director for Research, Earth Science Division, National Aeronautics and Space Administration: .........................Jack Kaye Lead Agency Point of Contact, Earth Science Division, National Aeronautics and Space Administration: ...........................Hal Maring Product Lead, Laboratory for Atmospheres, Earth Science Division, Goddard Space Flight Center, National Aeronautics and Space Administration: ..........................Mian Chin Chair, Synthesis and Assessment Product Advisory Group Associate Director, National Center for Environmental Assessment, U.S. Environmental Protection Agency: ....................Michael W. Slimak Synthesis and Assessment Product Coordinator, Climate Change Science Program Office: ......................................Fabien J.G. Laurier EDITORIAL AND PRODUCTION TEAM Editors: ..........................................................................................Mian Chin, NASA ..........................................................................................Ralph A. Kahn, NASA ..........................................................................................Stephen E. Schwartz, DOE Graphic Design: -
NERIS Workshop 2015
NERIS Workshop 2015 State-of-the-art and needs for further research for emergency and recovery preparedness and response 27-29 April 2015, Milan, Italy Hosted by the University of Milano PROCEEDINGS EDITORIAL In 2014, the NERIS Platform decided to organise yearly international workshops dedicated to topics relevant for the Platform. The first meeting was held in Milano, Italy on the 27-29 April 2015 and organised in cooperation with the University of Milano. The Workshop gathered 68 participants from Europe and Japan. 37 papers dedicated to the three research areas of the NERIS Strategic Research Agenda and the implementation of the Basic Safety Standards on emergency and recovery issues were presented. The Workshop was an opportunity to discuss and exchange with NERIS Members, International organisations, and European and Japanese Research communities on research priorities in the frame of nuclear and radiological emergency preparedness and recovery. It was an event rich in discussion and debate on the current results of the research and identification of evolving topics. Session 1 on modelling highlighted the need for improvements in atmospheric dispersion models notably to better address multi-scale modelling, urban dispersion and confined spaces, and source term assessment. Related to the aquatic modelling the necessity was identified to provide better models for decision-makers, as measurements are generally not sufficient in the emergency phase to characterise the situation. For the marine environment, although models are already available, there is a need for developing more accurate costal dispersion model as well as improving the modelling for radionuclide transfer to sediments and biota. For freshwater, models already exist but may need better adaptation tools to customise them for specific environments, e.g. -
Meteorology and Atmospheric Dispersion
3.3 Meteorology and atmospheric dispersion A system integrated comprehensive atmospheric dispersion module has been built from models suitable for fast real-time atmospheric dispersion calculations as suggested by [1], cf. Table 1. TABLE 1: THE MET-RODOS MODULE: Associated models and data Near-range flow and dispersion models, including pre-processors: · Meteorological pre-processor (PAD) · Mass Consistent Flow model (MCF) · Linearized flow model (LINCOM) · Puff model with gamma dose (RIMPUFF) · Near-range elongated puff model (ATSTEP) Complex terrain models (stand alone system): · Prognostic flow model (ADREA) and Lagrangian dispersion model (DIPCOT) Mesoscale and Long-range Models: · Hybrid Lagrangian-Eulerian model (MATCH) On-line Weather Forecast data: · Numerical Weather Prediction data (DMI-HIRLAM and SPA -TYPHOON) The module is called MET-RODOS and it consists of models and pre-processors contributed to by Work Group 2 (Atmospheric Dispersion) partners. 3.3.1 The MET-RODOS module A schematic overview of the system integrated MET-RODOS atmospheric dispersion module [2] is presented in Figure 1. Details about the systems „functionality specification“ is described in [3] whereas the systems User’s manual [4] holds references to the systems User’s guides, input/output specifications and test runs. The MET-RODOS dispersion module contains three distinguishable sub-systems: • The Local-Scale Pre-processor LSP, • The Local-Scale Model Chain LSMC, and • The long-range Model Chain LRMC 57 On-site Off-site N So dar ’ s Met- +4 Hr Towers W -
An Integrated Modelling Approach to Estimate Urban Traffic Emissions
An Integrated Modelling Approach to Estimate Urban Traffic Emissions by Aarshabh Misra A thesis submitted in conformity with the requirements for the degree of Master of Applied Sciences Department of Civil Engineering University of Toronto © Copyright by Aarshabh Misra, 2012 An Integrated Modelling Approach to Estimate Urban Traffic Emissions Aarshabh Misra Master of Applied Sciences Department of Civil Engineering University of Toronto 2012 Abstract Vehicular emissions contribute significantly to poor air quality in urban areas. An integrated modelling approach is adopted to estimate microscale urban traffic emissions. The modelling framework consists of a traffic microsimulation model, a microscopic emissions model, and two dispersion models. This framework is applied to a traffic network in downtown Toronto to evaluate summer time morning peak traffic emissions during weekdays for carbon monoxide and nitrogen oxide. The model predicted results are validated against sensor observations with a reasonably good fit. Availability of local estimates of ambient concentration is useful for accurate comparisons of total predicted concentrations with observed concentrations. Both predicted and observed concentrations are significantly smaller than the National Ambient Air Quality Objectives established by Environment Canada. Sensitivity analysis is performed on a set of input parameters and horizontal wind speed is found to be the most influential factor in pollutant dispersion. ii Acknowledgments I find it ironical how acknowledgements are featured at the very beginning of a thesis even though they are the last thing written out once all the ‘real’ writing is complete. Nonetheless, I feel this is probably the most well read section of any thesis! I wish to express my sincere gratitude to thesis supervisors Professor Matthew Roorda and Professor Heather MacLean for the steady support, guidance, and useful feedback they gave me at critical junctures, during the course of my thesis. -
Table of Session Oral and Poster Presentation (Red Written Papers Are Not Available)
Table of Session Oral and Poster presentation (red written papers are not available) Session 1 Model Evaluation Session 2 : Air Quality Management ; the EU air quality directive Session 3 Urban Air Quality Modelling Session 4 Model Intercomparison Session 5 Street Canyon Models Session 6 Decision Support System Session 7 Meteorological Pre-Processing CORIA – UMR 6614. CNRS – UNIVERSITE & INSA DE ROUEN – France. Tel: 33 (0)2 32 95 97 82 - Fax: 33 (0)2 32 95 97 80 - E-mail: [email protected] - Http://www.coria.fr Session 1 Model Evaluation CORIA – UMR 6614. CNRS – UNIVERSITE & INSA DE ROUEN – France. Tel: 33 (0)2 32 95 97 82 - Fax: 33 (0)2 32 95 97 80 - E-mail: [email protected] - Http://www.coria.fr Table of contents Session 1 Model Evaluation Oral Presentation. Paper 1 QUALITY ASSURANCE OF URBAN DISPERSION MODELS M. Schatzmann & B. Leitl,Germany Paper 8 INTERCOMPARISON OF THE LAGRANGIAN AND EULERIEAN MODEL PREDICTIONS AT LOCAL SCALE WITH MEASURED CONCENTRATIONS V.Sandu, Romania Paper 13 SIMULATIONS OF ATMOSPHERIC DISPERSION IN URBAN STABLE BOUNDARY LAYER E. Ferrero, D. Anfonssi, G Tinarelli, Italy Paper 20 EVALUATION OF A NON-GAUSSIAN PUFF MODEL T. Tirabassi, C. Mangia and U. Rizza, Italy Paper 24 STUDY OF TURBULENCE AND POLLUTANT DISPERSION UNDER NEUTRALLY AND UNSTABLY STRATIFIED ATMOSHERE UNSING A SECOND- ORDER EULERIAN MODEL C.H. Liu and D. Y. C. Leung, China. Paper 31 A LAGRANGIAN-PUFF DISPERSION MODEL: EVALUATION AGAINST TRACER DATA C. Mangia, U. Rizza, Italy Paper 38 EFFECTS OF CONCENTRATION FLUCTUATIONS ON STATISTICAL EVALUATIONS OF CENTERLINE CONCENTRATION ESTIMATES BY ATMOSPHERIC DISPERSION MODELS J. -
Nitrogen Dioxide in the UK
Chapter 5 Modelling Key points ● Empirical models have been developed to address the relationship between hourly mean NO2 and NOx concentrations and annual mean NO2 and NOx concentrations. The latter have had major application in air quality policy development with respect to achieving the annual mean air quality objective for NO2. ● The validity of the cause and effect relationships implied in the national scale empirical model have been verified in physically-based process models and shown to result from the conversion of NO to NO2 by reaction with O3 and from the direct primary emission of NO2. ● Comparisons between the national empirical model and dispersion models have been undertaken for locations in London. However, London is a special case in terms of geographical extent, emissions, high concentrations of NO2 and number of monitoring sites which has allowed optimum development of empirical schemes. Thus the conclusions of such comparisons may not be valid in other major cities where the empirical formulations may be based on very few monitoring sites. It is recommended that further comparisons should be performed in major cities with the highest annual average NO2 concentrations. It is recognised that such comparisons would be enhanced by more rural sites measuring both NOx and O3. ● There are a number of uncertainties that should be taken into account in assessing the policy conclusions concerning NO2 and NOx based on empirical, dispersion and other physically-based process models. Emission estimates are a crucial source of uncertainty, particularly the mass fraction of NOx emitted as NO2 and the likely future split between vehicle-kilometres travelled by petrol and diesel cars. -
Ten Questions Concerning Modeling of Near-Field Pollutant Dispersion in the Built Environment Yoshihide Tominagaa Ted Stathopoul
Accepted on 21 June 2016 for publication in the Building and Environment Ten questions concerning modeling of near-field pollutant dispersion in the built environment Yoshihide Tominagaa Ted Stathopoulosb a Niigata Institute of Technology, Kashiwazaki, Japan b Concordia University, Montreal, Canada Corresponding author. E-mail address: [email protected] (Y. Tominaga). Abstract Outdoor air pollution is a major current environmental problem. The precise prediction of pollutant concentration distributions in the built environment is necessary for building design and urban environmental assessment. Near-field pollutant dispersion, involving the interaction of a plume and the flow field perturbed by building obstacles, is an element of outdoor air pollution that is particularly complex to predict. Modeling methodologies have been discussed in a wide range of research fields for many years. The modeling approaches are categorized into field measurements, laboratory (wind and water tunnel) experiments, (semi-) empirical models, and computational fluid dynamics (CFD) models. Each of these approaches has advantages and disadvantages. It is therefore important to use due consideration for the underlying theory and limitations when applying these modeling approaches. This paper considers some of the most common questions confronting researchers and practitioners in the modeling of near-field pollutant dispersion in the built environment. Keywords Built environment; Computational fluid dynamics (CFD); Modeling technique; Near-field; Pollutant dispersion; Wind tunnel Experimentation 1 Introduction Outdoor air pollution is a major environmental problem. In the built environment, both the outdoor exposure of pedestrians and the indoor exposure of building inhabitants to airborne pollutants are of interest [1]. The dispersion regions for pollutants in these scenarios are rather small, comprising the vicinity of the emitting building within a few hundred meters of the source, as opposed to a region of impact over the entire neighborhood. -
Final Report
Department of Transportation Research and Special Programs Administration Office of Pipeline Safety SCHNEIDER ENVIRONMENTAL CONSULTING, LLC TTO Number 14 Integrity Management Program Delivery Order DTRS56-02-D-70036 Derivation of Potential Impact Radius Formulae for Vapor Cloud Dispersion Subject to 49 CFR 192 FINAL REPORT Submitted by: Michael Baker Jr., Inc. January 2005 Michael Baker Jr., Inc. OPS TTO14 – Derivation of Potential Impact Radius Formulae for Vapor Cloud Dispersion This page intentionally left blank Michael Baker Jr., Inc. OPS TTO14 – Derivation of Potential Impact Radius Formulae for Vapor Cloud Dispersion TTO Number 14 Derivation of Potential Impact Radius Formulae for Vapor Cloud Dispersion Table of Contents EXECUTIVE SUMMARY .........................................................................................................................................1 1 INTRODUCTION ................................................................................................................................................3 2 BACKGROUND...................................................................................................................................................5 3 IDENTIFY HAZARDOUS AND/OR TOXIC GASES SUBJECT TO 49 CFR 192, SUBPART O...............7 3.1 SCOPE STATEMENT.......................................................................................................................................7 3.2 GASES ROUTINELY TRANSPORTED BY PIPELINE ...........................................................................................7 -
Modelling the Deposition and Concentration of Long Range Air Pollutants
Modelling the Deposition and Concentration of Long Range Air Pollutants: Final Report Anthony Dore1, Maciej Kryza2 , Stephen Hallsworth1, Małgorzata Matejko2, Jane Hall1, Marcel van Oijen1, Ying Zhang1, Bill Bealey1, Massimo Vieno3, Sim Tang1, Ron Smith1 Ulrike Dragosits1 and Mark Sutton1 1Centre for Ecology and Hydrology, Edinburgh Research Station Bush Estate, Penicuik, Midlothian EH26 0QB 2Department of Meteorology and Climatology, University of Wrocław, ul. Kosiby 8, 51-670 Wrocław, Poland 3Institute of Atmospheric and Environmental Science, Crew Building, The University of Edinburgh, King's Buildings, Edinburgh EH9 3JN, UK September 2009 Table of Contents TABLE OF CONTENTS ....................................................................................................................... 2 EXECUTIVE SUMMARY .................................................................................................................... 3 1. BACKGROUND ................................................................................................................................. 4 2. DESCRIPTION OF FRAME ............................................................................................................ 7 2.1 HISTORY .......................................................................................................................................... 7 2.2 FRAME MODEL DOMAIN................................................................................................................ 7 2.3 EMISSIONS ...................................................................................................................................... -
Удк 004.942 (504.054)
УДК 004.942 (504.054) АР. С.ШИЛО, АН. С.ШИЛО (УКРАИНА, г. КИЕВ) СРАВНИТЕЛЬНЫЙ АНАЛИЗ ПРОГРАММНЫХ СРЕДСТВ ДЛЯ ИССЛЕДОВАНИЯ ЗАГРЯЗНЕНИЯ АТМОСФЕРЫ СОСТАВЛЯЮЩИМИ ДЫМОВЫХ ГАЗОВ Аннотация В данной работе рассмотрены программные средства для прогнозирования загрязнения атмосферного воздуха от стационарных источников. Рассмотрены наиболее универсальные программы, построенные на основных моделях рассеивания. Создана условная классификация программных комплексов. Ключевые слова: модель, источник, турбулентность, рассеивание, дисперсия, шлейф. Анотація У даній роботі розглянуті програмні засоби для прогнозування забруднення атмосферного повітря від стаціонарних джерел. Розглянуто найбільш універсальні програми, побудовані на основних моделях розсіювання. Створена умовна класифікація програмних комплексів. Ключові слова: модель, джерело, турбулентність, розсіювання, дисперсія, шлейф. Annotation In this article we consider software to predict air pollution from stationary sources. Considered the most universal program, built on the basic models of dispersion. Created conditional classification software systems. Keywords: model, source, turbulence, diffusion, dispersion, plume. Загрязнение атмосферного воздуха является одной из самых серьезных экологических проблем. Повышение концентрации загрязняющих веществ наблюдается в атмосфере практически любого города мира. Возникает необходимость в решении задачи моделирования распространения загрязняющих веществ в атмосфере, а именно от точечных источников таких как, например, мусоросжигательный завод с целью