CERC Software Publications

This page lists various papers available for download, mainly published journal articles. In general they relate to modelling work performed using the ADMS suite of air dispersion models by researchers outside CERC. If you have a publication related to CERC's models and would like us to consider including it on our website, please contact us with a copy of your article along with your request. A list of publications by CERC co-authors is also available.

Most online documents are in Portable Document Format (.pdf)—please download Adobe Acrobat Reader to view these files if necessary.

2025

• Zhong J, Li Y, Bloss WJ, Harrison RM,2025:Street-scale black carbon modelling over the West Midlands, United Kingdom: Sensitivity test of traffic emission factor adjustmentsEnvironment International, vol. 196, 109265, DOI: 10.1016/j.envint.2025.109265Article online

2024

• Hall J, Zhong J, Jowett S, Mazzeo A, Thomas GN, Bryson JR, Dewar S, Inglis N, Wolstencroft M, Muller C, Bloss W, Harrison R and Bartington S,2024:Regional impact assessment of air quality improvement: The air quality lifecourse assessment tool (AQ-LAT) for the West Midlands combined authority (WMCA).Environmental Pollution, DOI:10.1016/j.envpol.2024.123871Article online
• Kwiecien J and Olenkowicz-Trempala P,2024:A method for identifying exceedances of permissible NOX air pollutants by car traffic in a polish city.International Journal of Environmental Science and Technology, pp. 1-14, DOI: 10.1007/s13762-024-05937-6Article online
• Liu W, Ling X, Xue Y, Wu S, Gao J Zhao L and He B,2024:Study on the Concentration of Top Air Pollutants in Xuzhou City in Winter 2020 Based on the WRF-Chem and ADMS-Urban Models.Atmosphere, vol. 15, issue 1, p. 129, DOI: 10.3390/atmos15010129Article online
• Porwisiak P, Werner M, Kryza M, ApSimon H, Woodward H, Mehlig D, Gawuc L, Szymankiewicz K and Sawinski T,2024:Application of ADMS-Urban for an area with a high contribution of residential heating emissions - model verification and sensitivity study for PM_2.5.Science of The Total Environment, vol. 907, 168011, DOI:10.1016/j.scitotenv.2023.168011Article online

2023

• Draper EL, Whyatt JD, Taylor RS and Metcalfe SE,2023:Estimating background concentrations of PM_2.5 for urban air quality modelling in a data poor environment.Atmospheric Environment, vol. 314, p. 120107, DOI: 10.1016/j.atmosenv.2023.120107Article online
• Duang VM and Murana OO,2023:Comparative assessment of ground-level air quality in the metropolitan area of Prague using local street canyon modelling.Building and Environment, vol. 236, p. 110293, DOI: 10.1016/j.buildenv.2023.110293Article online
• Liang M, Chao Y, Tu Y and Xu T,2023:Vehicle pollutant dispersion in the urban atmospheric environment: A review of mechanism, modeling, and application.Atmosphere, vol. 14, issue 2, p. 279, DOI: 10.1016/j.atmosenv.2023.120107Article online
• Ngo KQ, Ho BQ, Harris NR, Drew GH and Mead MI,2023:Street-scale dispersion modelling framework of road-traffic derived air pollution in Hanoi, Vietnam.Environmental Research, vol. 233, p. 116497, DOI: 10.1016/j.envres.2023.116497Article online
• Snoun H, Krichen M and Chérif H,2023:A comprehensive review of Gaussian atmospheric dispersion models: current usage and future perspectives.Euro-Mediterranean Journal for Environmental Integration, vol. 8, pp. 219-242, DOI: 10.1007/s41207-023-00354-6Article online
• Šunjevic M, Reba D, Rajs V, Vujic B, Ninkov M and Vojinovic-Miloradov M,2023:Assessment of detected in situ and modeled PM10/2.5 concentration levels during the urban transformation process in Novi Sad, Serbia.Thermal Science, vol. 27, issue 3, part B, pp. 2275-2286, DOI: 10.2298/TSCI220215108SArticle online
• Wang Y, Yang L, Wild O, Zhang S, Yang K, Wang W and Li L,2023:ADMS simulation and influencing factors of bioaerosol diffusion from BRT under different aeration modes in six wastewater treatment plants.Water Research, vol. 231, p. 119624, DOI: 10.1016/j.watres.2023.119624Article online
• Zhong J, Harrison R, Bloss WJ, Visschedijk A and Denier van der Gon H,2023:Modelling the dispersion of particle number concentrations in the West Midlands, UK using the ADMS-Urban model.Environment International, DOI: 10.1016/j.envint.2023.108273Article online
• Zhong J, Hodgson JR, Bloss WJ and Shi Z,2023:Impacts of net zero policies on air quality in a metropolitan area of the United Kingdom: Towards world health organization air quality guidelines.Environmental Research, vol. 236, part 1, 116704, DOI: 10.1016/j.envres.2023.116704Article online

2022

• Di Nicola F, Brattich E and Di Sabatino S,2022:A new approach for roughness representation within urban dispersion models.Atmospheric Environment, vol. 283, 119181, DOI: 10.1016/j.atmosenv.2022.119181Article online
• Le HA, Khoi NQ and Mallick J,2022:Integrated emission inventory and modelling to assess the distribution of particulate matters from rice straw open burning in Hanoi, Vietnam.Atmospheric Pollution Research, vol. 13, issue 5, p. 101416, DOI: 10.1016/j.apr.2022.101416Article online
• Mokalled T, Le Calvé S, Badaro-Saliba N, Abboud M, Zaarour R, Farah W and Adjizian-Gérard J,2022:Atmospheric dispersion modelling of gaseous emissions from Beirutinternational airport activities.AIMS Environmental Science, vol. 9, issue 5, pp. 553-572, DOI: 10.3934/environsci.2022033Article online
• Patiño WR and Doung VM,2022:Intercomparison of Gaussian Plume Dispersion Models Applied to Sulfur Dioxide Emissions from a Stationary Source in the Suburban Area of Prague, Czech Republic.Environmental Modeling & Assessment, vol. 27, pp. 119-137, DOI: 10.1007/s10666-021-09803-4Article online
• Szopinska K, Cienciala A, Bieda A, Kwiecien J, Kulesza L and Parzych P,2022:Verification of the perception of the local community concerning air quality using ADMS-roads modeling.Int. J. Environ. Res. Public Health, vol. 19, issue 17, p. 10908, DOI: 10.3390/ijerph191710908Article online

2021

• Cesari R, Genga A, Buccolieri R, Di Sabatino S, Siciliano M, Siciliano T, Dinoi A, Maurizi A and Ielpo P,2021:Combining chemical composition data and numerical modelling for the assessment of air quality in a mediterranean port city.Applied Sciences, vol. 11, issue 5, p. 2181, DOI: 10.3390/app11052181Article online
• Chen Y, Hodgson S, Gulliver J, Granell R, Henderson AJ, Cai Y and Hansell AL,2021:Trimester effects of source-specific PM₁₀ on birth weight outcomes in the Avon Longitudinal Study of Parents and Children (ALSPAC).Environmental Health, vol. 20, issue 1, DOI: 10.1186/s12940-020-00684-wArticle online
• Hertwig D, Grimmond S, Kotthaus S, Vanderwel C, Gough H, Haeffelin M and robins A,2021:Variability of physical meteorology in urban areas at different scales: implications for air quality.Faraday Discussions, vol. 226, pp. 149-172, DOI: 10.1039/d0fd00098aArticle online
• Komalasari D, Shi Z and Harrison RM,2021:Optimisation of a numerical model to simulate the dispersion and chemical transformations within the oxides of nitrogen/ozone system as traffic pollution enters an urban greenspace.Earth Systems and Environment, vol. 5, pp. 927-937, DOI: 10.1007/s41748-021-00262-1Article online
• Sommer AJ, Leray E, Lee Y and Bind M-AC,2021:Assessing environmental epidemiology questions in practice with a causal inference pipeline: An investigation of the air pollution-multiple sclerosis relapses relationship.Statistics in Medicine, vol. 40, pp. 1321–1335, DOI: 10.1002/sim.8843Article online
• Vijay P, Shiva Nagendra SM, Gulia S, Khare M, Bell M and Namdeo N,2021:Performance evaluation of UK ADMS-urban model and AERMOD model to predict the PM 10 concentration for different scenarios at Urban Roads in Chennai, India and Newcastle City, UK.Urban Air Quality Monitoring, Modelling and Human Exposure Assessment, pp. 169-181, DOI: 10.1007/978-981-15-5511-4_12Article online

2020

• Gressent A, Malherbe L, Colette A, Rollin H and Scimia R,2020:Data fusion for air quality mapping using low-cost sensor observations: Feasibility and added-value.Environment International, vol. 143, p. 105965, DOI: 10.1016/j.envint.2020.105965Article online
• Joseph GMD, Hargreaves DM and Lowndes IS,2020:Reconciling Gaussian plume and Computational Fluid Dynamics models of particulate dispersion.Atmospheric Environment: X, vol. 5, p. 100064, DOI: 10.1016/j.aeaoa.2020.100064Article online
• Taksibi F, Khajehpour H and Saboohi Y,2020:On the environmental effectiveness analysis of energy policies: A case study of air pollution in the megacity of Tehran.Science of the Total Environment, vol. 705, DOI: 10.1016/j.scitotenv.2019.135824Article online
• Tchepel O, Monteiro A, Dias D, Gama C, Pina N, Rodrigues JP, Ferreira M and Miranda AI,2020:Urban aerosol assessment and forecast: Coimbra case study.Atmospheric Pollution Research, vol. 11, issue 7, pp. 1155-1164, DOI: 10.1016/j.apr.2020.04.006Article online
• Tiwari A and Kumar P,2020:Integrated dispersion-deposition modelling for air pollutant reduction via green infrastructure at an urban scale.Science of The Total Environment, vol. 723, DOI: 10.1016/j.scitotenv.2020.138078Article online

2019

• Dedele A and Miškinyte A,2019:Seasonal and site-specific variation in particulate matter pollution in Lithuania.Atmospheric Pollution Research, vol. 10, issue 3, pp. 768-775, DOI: 10.1016/j.apr.2018.12.004Article online
• Fawole OG, Cai X, Abiye OE, and MacKenzie AR,2019:Dispersion of gas flaring emissions in the Niger delta: Impact of prevailing meteorological conditions and flare characteristics.Environmental Pollution, vol. 246, pp. 284-293, DOI: 10.1016/j.envpol.2018.12.021Article online
• Gullick D, Blackburn GA, Whyatt JD, Vopenka P, Murray J and Abbatt J,2019:Tree risk evaluation environment for failure and limb loss (TREEFALL): An integrated model for quantifying the risk of tree failure from local to regional scales.Computers, Environment and Urban Systems, vol. 75, pp. 217-228, DOI: 10.1016/j.compenvurbsys.2019.02.001Article online
• He B, Heal MR, Humstad KH, Yan L, Zhang Q and Reis S,2019:A hybrid model approach for estimating health burden from NO₂ in megacities in China: a case study in Guangzhou.Environmental Research Letters, vol. 14, no. 12, DOI: 10.1088/1748-9326/ab4f96Article online
• Merico E, Dinoi A and Contini D,2019:Development of an integrated modelling-measurement system for near-real-time estimates of harbour activity impact to atmospheric pollution in coastal cities.Transportation Research Part D: Transport and Environment, vol. 73, pp. 108-119, DOI: 10.1016/j.trd.2019.06.009Article online
• Parkes B, Hansell AL, Ghosh RE, Douglas P, Fecht D, Wellesley D, Kurinczuk JJ, Rankin J, de Hoogh K, Fuller GW, Elliot P and Toledano MB,2019:Risk of congenital anomalies near municipal waste incinerators in England and Scotland: Retrospective population-based cohort study.Environment International, DOI: 10.1016/j.envint.2019.05.039Article online
• Snoun H, Bellakhal G, Kanfoudi H, Zhang X and Chahed J,2019:One-way coupling of WRF with a Gaussian dispersion model: a focused fine-scale air pollution assessment on southern Mediterranean.Environmental Science and Pollution Research, vol. 26, issue 22, pp. 22892-22906, DOI: 10.1007/s11356-019-05486-3Article online
• Tiwari A, Kumar P, Baldauf R, Zhang KM, Pilla F, Di Sabatino S, Brattich E and Pulvirenti B,2019:Considerations for evaluating green infrastructure impacts in microscale and macroscale air pollution dispersion models.Science of The Total Environment, vol. 672, pp. 410-426, DOI: 10.1016/j.scitotenv.2019.03.350Article online
• Vujic BB, Marceta UV, Popescu F and Tot BI,2019:Air quality monitoring and modeling near coal fired power plant.Thermal Science, vol. 23, issue 6, Part B, pp. 4055-4065, DOI: 10.2298/TSCI190611385VArticle online

2018

• Gulliver J et. al.,2018:Local- and regional-scale air pollution modelling (PM₁₀) and exposure assessment for pregnancy trimesters, infancy, and childhood to age 15 years: Avon Longitudinal Study of Parents And Children (ALSPAC).Environment International, vol. 113, pp.10-19, DOI: 10.1016/j.envint.2018.01.017Article online
• Jeanjean M, Bind MA, Roux J, Ongagna JC, De Sèze J, Bard D and Leray E,2018:Ozone, NO₂ and PM₁₀ are associated with the occurrence of multiple sclerosis relapses. Evidence from seasonal multi-pollutant analyses.Article online
• Joseph GMD, Lowndes IS and Hargreaves DM,2018:A computational study of particulate emissions from Old Moor Quarry, UK.Journal of Wind Engineering and Industrial Aerodynamics, vol. 172, pp. 68-84, DOI: 10.1016/j.jweia.2017.10.018Article online
• Khajehpour H, Saboohi Y and Tsatsaronis G,2018:Permissible emission limit estimation via iterative back-calculation: Case of Assaluyeh energy zone, southern Iran.Integrated Environmental Assessment and Management, vol. 14, issue 1, pp. 130–138, DOI: 10.1002/ieam.1970Article online
• Khreis H, de Hoogh K, Zietsman J and Nieuwenhuijsen MJ,2018:The impact of different validation datasets on air quality modeling performance.Journal of Transport & Health, vol. 9, supplement, pp. S9-S10, DOI: 10.1016/j.jth.2018.05.061Article online
• Mallet V, Tilloy A, Poulet A, Girard S and Brocheton F,2018:Meta-modeling of ADMS-Urban by dimension reduction and emulation.Atmospheric Environment, vol. 184, pp. 37-46, DOI: 10.1016/j.atmosenv.2018.04.009Article online
• Yanosky JD, Fisher J, Liao D, Rim D, Wal RV, Groves W and Puett RC,2018:Application and validation of a line-source dispersion model to estimate small scale traffic-related particulate matter concentrations across the conterminous US.Air Quality, Atmosphere & Health, vol. 11, pp. 741-754, DOI: 10.1007/s11869-018-0580-6Article online

2017

• Beach B and Hanlon WW,2017:Coal Smoke and Mortality in an Early Industrial Economy.The Economic Journal, DOI: 10.1111/ecoj.12522Article online
• Carbonell A, Arévalo G, Lao J, Vergoñós L, Montlleó M and Casals P,2017:Barcelona Urban Heat Island Characterization and Modeling.Poster session presented at: 7^th Advanced Training Course on Land Remote Sensing, 4-9 September 2017, Sziu Godollo, Hungary.Poster online
• Douglas P, Hayes ET, Williams WB, Tyrrel SF, Kinnersley RP, Walsh K, O’Driscoll M, Longhurst PJ, Pollard SJT and Drew GH,2017:Use of dispersion modelling for Environmental Impact Assessment of biological air pollution from composting: Progress, problems and prospects.Waste Management, vol. 70, pp. 22-29, DOI: 10.1016/j.wasman.2017.08.023Article online
• Douglas P, Tyrrel SF, Kinnersley RP, Whelan M, Longhurst PJ, Hansell AL, Walsh K, Pollard SJT and Drew GH,2017:Predicting Aspergillus fumigatus exposure from composting facilities using a dispersion model: A conditional calibration and validation.International Journal of Hygiene and Environmental Health, vol. 220, issue 1, pp. 17-28, DOI: 10.1016/j.ijheh.2016.09.017Article online
• Filho WL, Icaza LE, Emanche VO and Al-Amin AQ,2017:An Evidence-Based Review of Impacts, Strategies and Tools to Mitigate Urban Heat Islands.International Journal of Environmental Research and Public Health, vol. 14, article no. 1600, DOI: 10.3390/ijerph14121600Article online
• Kalhor M and Bajoghli M,2017:Comparison of AERMOD, ADMS and ISC3 for incomplete upper air meteorological data (case study: Steel plant).Atmospheric Pollution Research, vol. 8, issue 6, pp. 1203-1208, DOI: 10.1016/j.apr.2017.06.001Article online
• Kimbrough S, Owen RC, Snyder M and Richmond-Bryant J,2017:NO to NO₂ conversion rate analysis and implications for dispersion model chemistry methods using Las Vegas, Nevada near-road field measurements.Atmospheric Environment, vol. 165, pp. 23-34, DOI: 10.1016/j.atmosenv.2017.06.027Article online
• Solera Garcia MA, Timmis RJ, Van Dijk N, Whyatt JD, Leith ID, Leeson SR, Braban CF, Sheppard LJ, Sutton MA and Tang YS,2017:Directional passive ambient air monitoring of ammonia for fugitive source attribution; a field trial with wind tunnel characteristics.Atmospheric Environment, vol. 167, pp. 576-585, DOI: 10.1016/j.atmosenv.2017.07.043Article online
• Vairo T, Magrì S, Quagliati M, Reverberi AP and Fabiano B,2017:An Oil Pipeline Catastrophic Failure: Accident Scenario Modelling and Emergency Response Development.Chemical Engineering Transactions, vol. 57, pp. 373-378, DOI: 10.3303/CET1757063Article online
• Wu H, Reis S, Lin C and Heal MR,2017:Effect of monitoring network design on land use regression models for estimating residential NO₂ concentration.Atmospheric Environment, vol. 149, pp. 24-33, DOI: 10.1016/j.atmosenv.2016.11.014Article online
• Zeng A, Mao X, Hu T, Xing Y, Gao Y, Zhou J and Qian Y,2017:Regional co-control plan for local air pollutants and CO2 reduction: Method and practice.Journal of Cleaner Production, vol. 140, part 3, pp. 1226-1235, DOI: 10.1016/j.jclepro.2016.10.037Article online

2016

• Bell MW, Tang YS, Dragosits U, Flechard CR, Ward P and Braban CF,2016:Ammonia emissions from an anaerobic digestion plant estimated using atmospheric measurements and dispersion modelling. Waste Management, vol. 56, pp. 113-124, DOI: 10.1016/j.wasman.2016.06.002Article online
• Bruce J, Smith J, Datson H and Fowler M,2016:Modelling Dust Emissions from a Source Using Dust Monitoring and Meteorological Data.Journal of Environmental Protection, vol. 07, no. 3, pp. 467-472, DOI: 10.4236/jep.2016.73040Article online
• Buccolieri R, Cesari R, Dinoi A, Maurizi A, Tampieri F and Di Sabatino S,2016:Impact of ship emissions on local air quality in a Mediterranean city's harbour after the European sulphur directive.International Journal of Environment and Pollution, vol. 59, issue 1, pp. 30-42, DOI: 10.1504/IJEP.2016.078061Article online
• Douglas P, Tyrrel SF, Kinnersley RP, Whelan M, Longhurst PJ, Walsh K, Pollard SJT and Drew GH,2016:Sensitivity of predicted bioaerosol exposure from open windrow composting facilities to ADMS dispersion model parameters.Journal of Environmental Management, vol. 184. part 2, pp. 448-455, DOI: 10.1016/j.jenvman.2016.10.003Article online
• Houbraken M, van den Berg F, Butler Ellis CM, Dekeyser D, Nuyttens D, de Schampheleire M and Spanoghe P,2016:Volatilisation of pesticides under field conditions: inverse modelling and pesticide fate models.Pest Management Science, vol. 72, issue 7, pp. 1309–1321, DOI: 10.1002/ps.4149Article online
• Van Leuken JPG, Swart AN, Havelaar AH, Van Pul A, Van der Hoek W and Heederik D,2016:Atmospheric dispersion modelling of bioaerosols that are pathogenic to humans and livestock – A review to inform risk assessment studies.Microbial Risk Analysis, vol. 1, pp. 19-39, DOI: 10.1016/j.mran.2015.07.002Article online

2015

• Crittenden PD, Scrimgeour CM, Minnullina G, Sutton MA, Tang YS and Theobald MR,2015:Lichen response to ammonia deposition defines the footprint of a penguin rookery.Biogeochemistry, vol. 122, issue 2–3, pp. 295–311, DOI: 10.1007/s10533-014-0042-7Article online
• Dėdelė A and Miškinytė A,2015:The statistical evaluation and comparison of ADMS-Urban model for the prediction of nitrogen dioxide with air quality monitoring network.Environmental Monitoring and Assessment, vol. 187, pp. 578, DOI: 10.1007/s10661-015-4810-1Article online
• Theobald MR, Sanz-Cobena A, Vallejo A and Sutton MA,2015:Suitability and uncertainty of two models for the simulation of ammonia dispersion from a pig farm located in an area with frequent calm conditions.Atmospheric Environment, vol. 102, pp. 167-175, DOI: 10.1016/j.atmosenv.2014.11.056Article online

2014

• Davies G and Whyatt JD,2014:A network-based approach for estimating pedestrian journey-time exposure to air pollution.Science of The Total Environment, vol. 485-486, pp. 62-70Article online
• Deary ME and Uapipatanakul S,2014:Evaluation of the performance of ADMS in predicting the dispersion of sulfur dioxide from a complex source in Southeast Asia: implications for health impact assessments.Air Quality, Atmosphere and Health, vol. 7, issue 3, pp. 381-399, DOI: 10.1007/s11869-013-0225-8Article online
• Gulia S, Nagendra S and Khare M,2014:Performance Evaluation of ISCST3, ADMS-Urban and Aermod for Urban Air Quality Management in a Mega City of India.International Journal of Sustainable Development and Planning, vol. 9, issue 6, pp. 778-793, DOI: 10.2495/SDP-V9-N6-778-793Article online
• Haeger-Eugensson M, Ferm M and Elfman L,2014:Use of a 3-D Dispersion Model for Calculation of Distribution of Horse Allergen and Odor around Horse Facilities.International Journal of Environmental Research and Public Health, vol.11, pp. 3599-3617, DOI: 10.3390/ijerph110403599Article online
• Maggiotto G, Buccolieri R, Santo MA, Leo LS and Di Sabatino S,2014:Validation of temperature-perturbation and CFD-based modelling for the prediction of the thermal urban environment: the Lecce (IT) case study.Environmental Modelling and Software, vol. 60, pp. 69-83Article online
• Maggiotto G, Buccolieri R, Santo MA, Leo LS and Di Sabatino S,2014:Study of the urban heat island in Lecce (Italy) by means of ADMS and ENVI-MET.Int. J. of Environment and Pollution, vol. 55, pp. 41-49Article online
• O’Brien J, Namdeo A, Bell M and Goodman P,2014:A congestion sensitive approach to modelling road networks for air quality management.International Journal of Environment and Pollution, vol. 54, issue 2-4, pp. 213-221, DOI: 10.1504/IJEP.2014.065122Article online
• Piras L, Dentoni V, Massacci G and Lowndes IS,2014:Dust dispersion from haul roads in complex terrain: the case of a mineral reclamation site located in Sardinia (Italy).International Journal of Mining, Reclamation and Environment, vol. 28, issue 5, pp. 323-341, DOI: 10.1080/17480930.2014.884269Article online
• Uria-Tellaetxe I and Carslaw DC,2014:Conditional bivariate probability function for source identification.Environmental Modelling and Software, vol. 59, pp. 1-9, DOI: 10.1016/j.envsoft.2014.05.002Article online
• Wang Y, Zhong K, Zhang N and Kang Y,2014:Numerical Analysis of Solar Radiation Effects on Flow Patterns in Street Canyons.Engineering Applications of Computational Fluid Mechanics, vol. 8, issue 2, pp. 252-262, DOI: 10.1080/19942060.2014.11015511Article online

2013

• Ashworth DC, Fuller GW, Toledano MB, Font A, Elliott P, Hansell AL and de Hoogh K,2013:Comparative assessment of particulate air pollution exposure from municipal solid waste incinerator emissions.Journal of Environmental and Public Health, vol. 2013, article id 560342, DOI: 10.1155/2013/560342Article online
• Candela S, Ranzi A, Bonvicini L, Baldacchini F, Marzaroli P, Evangelista A, Luberto F, Carretta E, Angelini P, Sterrantino A, Broccoli S, Cordioli M, Ancona C and Forastiere F,2013:Air Pollution from Incinerators and Reproductive Outcomes: A Multisite Study.Epidemiology, vol. 24, issue 6, pp. 863-870, DOI: 10.1097/EDE.0b013e3182a712f1Article online
• Theobald MR, Crittenden PD, Tang YS and Sutton MA,2013:The application of inverse-dispersion and gradient methods to estimate ammonia emissions from a penguin colony.Atmospheric Environment, vol. 81. pp. 320-329, DOI: 10.1016/j.atmosenv.2013.09.009Article online
• Tilloy A, Mallet V, Poulet D, Pesin C and Brocheton F,2013:BLUE-based NO₂ data assimilation at urban scale.Journal of Geophysical Research: Atmospheres, vol. 118, issue 4, pp. 2031–2040, DOI:10.1002/jgrd.50233Article online

2012

• Baïz N, Dargent-Molina P, Wark JD, Souberbielle J-C, Slama R, Annesi-Maesano I and the EDEN Mother-Child Cohort Study Group,2012:Gestational exposure to urban air pollution related to a decrease in cord blood vitamin D levels.Journal of Clinical Endocrinology and Metabolism, vol. 97, issue 11, pp. 4087-4095, DOI: 10.1210/jc.2012-1943Article online
• Rahmalia A, Giorgis-Allemand L, Lepeule J, Philippat C, Galineau J, Hulin A, Charles M-A, Slama R and The EDEN Mother-Child Cohort Study group,2012:Pregnancy exposure to atmospheric pollutants and placental weight: An approach relying on a dispersion model.Environment International, vol. 48, pp. 47–55, DOI: 10.1016/j.envint.2012.06.013.Article online

2011

• Carslaw D,2011:Defra urban model evaluation analysis – Phase 1.(.pdf, <1MB)
• Hampel R, Lepeule J, Schneider A, Bottagisi S, Charles M, Ducimetière P, Peters A and Slama R,2011:Short-term Impact of Ambient Air Pollution and Air Temperature on Blood Pressure Among Pregnant Women.Epidemiology, vol. 22, issue 5, pp. 671-679.Article online
• Lao J and Teixidó O,2011:Air Quality Model For Barcelona.Air Pollution XIX, vol. 147, pp.25-36, DOI: 10.2495/AIR110031.Article online
• Zahran ES, Bennett LD and Smith MJ,2011:A GIS-based approach to automating the collection of geospatial road network data.Traffic Engineering and Control (TEC) Magazine, vol. 52, issue 2011, no. 7, pp. 295-299.Article online

2009

• Righi S, Lucialli P and Pollini E,2009:Statistical and diagnostic evaluation of the ADMS-Urban model compared with an urban air quality monitoring network.Atmospheric Environment, vol. 43, issue 25, pp. 3850-3857, DOI: 10.1016/j.atmosenv.2009.05.016Article online
• Whyatt D and Davies G,2009:A least-cost approach to personal exposure reduction.Transactions in GIS, vol. 13, issue 2, pp. 229-246, DOI: 10.1111/j.1467-9671.2009.01150.xArticle online

2008

• Di Sabatino S, Buccolieri R, Pulvirenti B and Britter RE,2008:Flow and pollutant dispersion in street canyons using FLUENT and ADMS-Urban.Environmental Modeling and Assessment, vol. 13, issue 3, pp. 369-381, DOI: 10.1007/s10666-007-9106-6.Article online
• Laurent O, Pedrono G, Segala C, Filleul L, Havard S, Deguen S, Schillinger C, Rivière E and Bard D,2008:Air Pollution, Asthma Attacks, and Socioeconomic Deprivation: A Small-Area Case-Crossover Study.American Journal of Epidemiology, vol. 168, issue 1, pp. 58-65, DOI: 10.1093/aje/kwn087.Article online

2007

• Di Sabatino S, Buccolieri R, Pulvirenti B and Britter RE,2007:Simulations of pollutant dispersion within idealised urban-type geometries with CFD and integral models.Atmospheric Environment, vol. 41, issue 37, pp. 8316–8329, DOI: 10.1016/j.bbr.2011.03.031.Article online

2006

• Peace H, Maughan J, Owen B and Raper D,2006:Identifying the contribution of different airport related sources to local urban air quality.Environmental Modelling and Software, vol. 21, issue 4, pp. 532–538, DOI: 10.1016/j.bbr.2011.03.031.Article online