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Environmental Sciences - Pollution and Remediation | Air Pollution Modeling and its Application XXIII

Air Pollution Modeling and its Application XXIII

Steyn, Douw, Mathur, Rohit (Eds.)

2014, XXXVIII, 640 p. 209 illus., 8 illus. in color.

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  • Latest research results in important applied field
  • Contributions from world leading scientists
  • Comprehensive set of key topics

Recent developments in air pollution modelling are explored as a series of contributions from researchers at the forefront of their field. This newest contribution on air pollution modelling and its application is focused on local, urban, regional and intercontinental modelling; data assimilation and air quality forecasting; model assessment and evaluation; aerosol transformation. Additionally, this work also examines the relationship between air quality and human health and the effects of climate change on air quality. The work derives from  a series of papers presented at the 33rd International Technical Meeting on Air Pollution Modelling and its Application held in Miami, USA, August 27 - 31, 2013.  The book is intended as reference material for students and professors interested in air pollution modelling at the graduate level as well as researchers and professionals involved in developing and utilizing air pollution models.

Content Level » Research

Keywords » Aerosol Dynamics - Air Pollution Modelling - Air Quality Effects on Human Health - Air Quality Forecasting - Air Quality Trend Assessments - High-resolution Spatial Maps of Air Quality - ITM 2013 Proceedings - Local and Urban Scale Modelling

Related subjects » Atmospheric Sciences - Complexity - Geophysics & Environmental Physics - Pollution and Remediation

Table of contents 

Part I Air quality and human health.- Use of air quality modeling results in health effects research; A. Russell et al.- 2 Air quality effects on human health; J. Brandt et al.- 3 Development of model-based air pollution exposure metrics for use in epidemiologic studies; V. Isakova et al.- 4 Improved spatiotemporal air pollutant mixture characterization for health studies; H.A. Holmes et al.- 5 Advances in linked air quality, farm management and biogeochemistry models to address bidirectional ammonia flux in CMAQ; E.J. Cooter et al.- 6 A temporal NOx emissions trading system: case study of US power plants; S. Morteza Mesbah et al.- 7 Source attribution of attainment and exposure-based ozone metrics in North America; A. Pappin, A. Hakami.- 8 CASTNET methodology for modeling dry and total deposition; C.M. Rogers et al.- 9 ACCEPTED: an Assessment of Changing Conditions, Environmental Policies, Time-activities, Exposure and Disease; A. Delcloo et al.- Part II Climate change and air quality.- 10 Studying aerosol-cloud-climate interactions over East Asia using WRF/Chem; Y. Zhang et al.- 11Investigation of trends in aerosol direct radiative effects over North America using a coupled meteorology-chemistry model; R. Mathur et al.-12 Future year air quality change due to growth in aircraft emissions and changes in climate; S. Arunachalam et al.- Part III Aerosols in the atmosphere.- 13 The use of a Non Negative Matrix Factorization method combined to PM2.5 chemical data for a source apportionment study in different environments; A. Kfoury et al.- 14 On the interplay between upper and ground levels dynamics and chemistry in determining the surface aerosol budget; G. Curci et al.- 15 Modeling of aerosol indirect effects with WRF/Chem over Europe; P. Tuccella et al.- 16 The influence of cloud chemical processes on the formation of secondary particulate matter; R. Schroedner et al.- 17 An improved volatility basis set for modeling organic aerosol in both CAMx and CMAQ; B.Koo et al.- 18 Issues related to on/offline meteorological and atmospheric chemistry model coupling; J. Kushta et al.- 19 Increases in wintertime oxidation capacity counteract the success of emission reduction measures in Europe with respect to secondary inorganic aerosols; D. Brunner et al.- 20 Investigating the contribution of biogenic emissions to the formation of secondary pollutants in Portugal; O. Tchepel et al.- 21 Modelling aerosol-cloud-meteorology interaction: a case study with a fully coupled air quality model (GEM-MACH); W. Gong et al.- 22 Evaluation of cloud chemistry mechanism towards laboratory experiments; Y. Long et al.- 23 Effects of surf zone sea-spray particles on aerosol concentration in coastal area; G. Tedeschi, J. Piazzola.- 24 Novel pathways to form secondary organic aerosols: glyoxal SOA in WRF/Chem; C. Knote et al.- 25 Modeling seasonal changes in organic aerosol composition at the puy de Dôme (France); C. Barbet et al.- 26 Using WRF-CMAQ air quality modelling system to estimate BaP concentrations over Zaragoza (Spain); R. San José et al.- 27 The POAEMM project: prediction of spatial and temporal variation of marine aerosols in coastal area; G. Tedeschi et al.- 28 An integrated Weather and Sea State Forecasting system for the Arabian Peninsula (WASSF); J. Al Qahtani et al.- 29 Modelling past and future changes in secondary inorganic aerosol concentrations in the UK; R. Ots et al.- Part IV Regional and intercontinental modeling.- 30 Modelling the impact of energy transitions on air quality and source receptor relations; C. Hendriks et al.- 31 Impact of mercury chemistry on regional concentration and deposition patterns; J. Bieser et al.- 32 A multiscale modeling study to assess impacts of full-flight aircraft emissions on upper troposphere and surface air quality; L. P. Vennam et al.- 33 Relevance of photolysis frequencies calculation aspects to the ozone concentration simulation; M. Uphoff et al.- 34 Air pollution in China in January 2013; V. Matthias et al.- 35 Impact on Ontario’s air quality due to changes in North American emission from 2005 to 2020; A. Chtcherbakov et al.- 36 Modelling the concentration and deposition of heavy metals in the UK; A. Dore et al.- 37 A process analysis of the impact of air-quality/weather feedbacks using GEM-MACH; P. A. Makar et al.- 38 Analog-based postprocessing methods for air quality forecasting; L. Delle Monache et al.- 39 Comparing different modeling approaches in obtaining regional scale concentration maps; B. Maiheu et al.- 40 Impact of RACM2, halogen chemistry, and updated ozone deposition velocity on hemispheric ozone predictions; G.Sarwar et al.-41 A global wildfire emission and atmospheric composition: refinement of the Integrated System For Wild-Land Fires IS4FIRES; J. Soares et al.- 42 The regional LOTOS-EUROS model on tour; R. Timmermans et al.- 43 The incorporation of the US national emission inventory into version 2 of the Hemispheric Transport of Air Pollutants inventory; G. Pouliot et al.- 44 Impact of vertical and horizontal resolutions on chemistry transport modeling; B. Bessagnet et al. 45 A model study on the effects of emission reductions on European air quality between 1990 and 2020; S. Aksoyoglu, A.S.H. Prévôt.- 46 Analysis and modelling of ambient air toxics pollutants in Canada with Environment Canada AURAMS model; J. Chen et al.- 47 Investigating the coherence between a global and a limited area model for dust particle production and distribution in N. Africa; M. Astitha et al.- 48 Effects of future ship emissions in the North Sea on air quality; A. Aulinger et al.- 49 Temporally and spatially resolved air pollution in Georgia using fused ambient monitor data and chemical transport model results; S.A. Sororian et al.- 50 Maritime sector emissions contribution to the particulate matter pollution in a Mediterranean city-port: A modeling approach; A. Poupkou et al.- 51 Application and evaluation of the high-resolution regional scale FRAME model for calculation of ammonia and ammonium air concentrations for Poland for the years 2002-2008; M. Kryza et al.- 52 Regional transports of atmospheric NOx and HNO3 over Cape Town; B.J. Abiodun et al.- 53 The impact of transboundary transport of air pollutants on air quality in the United Kingdom and Poland; M. Werner et al.- Part V Local and urban scale modeling.- 54 A 40-year history of a simple urban dispersion model and its evaluation; S. Hanna.- 55 Assessment of the effect of multiscale interactions on the atmospheric flow and the dispersion of air pollution in the city of Paris; P. Barmpas et al.- 56 PAHs modelling over urban area of Rome: integration of models results with experimental data; C. Gariazzo et al.- 57 Modelling the effects of urban morphology, traffic and pedestrian dynamics on students’ exposure to air pollution; J. H. Amorim et al.- 58 LES of advective and turbulent passive scalar fluxes in a street intersection; V. Fuka et al.- 59 Two-phase accidental dense gas releases simulations with the Lagrangian particle model Microspray; L. Mortarini et al.- 60 Modeling of the Urban Heat Island and its effect on air quality using WRF/WRF-Chem – Assessment of mitigation strategies for a central European city; J. Fallmann et al.- 61 Assessment of three dynamical urban climate downscaling methods; R. Hamdi et al.- 62 Validating the RIO-IFDM street canyon coupling over Antwerp, Belgium; W. Lefebvre et al.- 63 The influence of the changing NOx-split for compliance to the European limit values in urban areas; W. Lefebvre et al.- 64 Evaluation of air pollution models for their use in emergency response tools in built environments: the ‘Michelstadt’ case study in COST ES1006 ACTION; B. Leitl et al.- 65 Development of a numerical prediction model system for the assessment of the air quality in Budapest; Z. Ferenczi et al.- 66 Analysis of the differences between pollution levels into a new and an old district of a big city using dispersion simulations at microscale; G. Tinarelli et al.- 67 Water Tank Simulation of a dense fluid release; L. Mortarini et al.- 68 The porosity concept applied to urban canopy improves the results of Gaussian dispersion modelling of traffic-dominated emissions; M. Kaasik et al.- 69 An evaluation of the box model estimating carbon monoxide concentration in the city of Caracas, Venezuela; A. S. D’Anna et al.- 70 Implications of vegetation on pollutant dispersion in an idealized urban neighborhood; C. Gromke, B.Blocken.- Part VI Model assessment and verification.- 71 Dynamic evaluation of the CMAQv5.0 modeling system:  Assessing the model’s ability to simulate ozone changes due to NOx emission reductions; K. M. Foley et al.- 72 Evaluation of a chemical data assimilation system; J.D. Silver et al.- 73 Resolving and quantifying ozone contributions from boundary conditions within regional models; G. Yarwood et al.- 74 E pluribus unum: KZ filters and Ensemble Air Quality modeling; S. Galmarini et al.- 75 Air quality model evaluation using Gaussian process modelling and empirical orthogonal function decomposition; T. Shi et al.- 76 AQMEII Phase 2: Overview and WRF-CMAQ Application over North America; C. Hogrefe et al.-77 Modelling UK Air Quality for AQMEII2 with the Online Forecast Model AQUM; L. Davis et al.- 78 Model inter-comparison study between NMMB/BSC-CTM and Enviro-HIRLAM on-line systems contributing to the AQMEII-Phase2 initiative; A. Badia et al.- 79 Can we explain the observed decrease in secondary inorganic aerosol and its precursors between 1990 and 2009 over Europe using LOTOS-EUROS?; S. Banzhaf et al.- 80 Application and evaluation of high-resolution WRF-CMAQ with simple urban parameterization; J. Pleim et al.- 81 A one year evaluation of the CTM CHIMERE using SURFEX/TEB within the high resolution NWP models ALARO and ALADIN for Belgium; A. Delcloo et al.- 82 Application of performance indicators based on observation un-certainty to evaluate a Europe-wide model simulation at urban scale; P. Thunis et al.- 83 Multi-model ensembles: how many models do we need?; E. Solazzo, S.Galmarini.- 84 Diagnostic evaluation of NOx emission upgrade on air quality forecast; L. Pan et al.- 85 Presentation and validation of a new building downwash model; W. Lefebvre et al.- 86 Boundary-layer and air quality study at “Station Nord” in Greenland; E. Batchvarova et al.- 87 Evaluation of mesoscale model profiles against consecutive radiosounding data during the Sofia 2003 Experiment; H. Kirova et al.- 88 The use of a mesoscale modeling system together with surface and upper observational data to estimate hourly benzene impacts in a mountainous coastal area; V. Valdenebro et al.- 89 A sensitivity analysis of the WRF model to shortwave radiation schemes for air quality purposes and evaluation with observational data; K. Wałaszek et al.- 90 Comparing WRF PBL schemes with experimental data over Northern Italy; A. Balzarini et al.- 91 Surface ozone variability in synoptic pattern perspectives; H.C. Kim et al.- 92 WRF-Chem model sensitivity analysis to chemical mechanism choice; A. Balzarini et al.- Part VII Data assimilation and air quality forecasting.- 93 Assimilation of satellite oceanic and atmospheric products to improve emission forecasting; D.Q. Tong et al.- 94 Assimilation and forecasting fine aerosols over North America in summer 2012; M. Pagowski, G.A. Grell.- 95 Evaluating the vertical distribution of ozone and its relationship to pollution events in air quality models using satellite data; J. L. Neu et al.- 96 Building and testing atmospheric chemistry reanalysis modeling system; T. Chai et al.- 97 Intensive campaigns supported by air quality forecasting capability to identify chemical and atmospheric regimes susceptible to standard violations; P. Lee et al.- 98 Modeling of air pollution over the Ganges basin and north-west Bay of Bengal in the early post-monsoon season using the NASA GEOS-5 model; P. Kishcha et al.- 99 The impact of a wildland fire on air pollution concentrations using WRF/Chem/Fire: An application over Murcia (Spain); R. San José et al.- 100 Assimilation of PM ground measurements: looking for optimal settings for the PM forecasts; A.Segers et al.- 101 Spatial and temporal extension of a novel hybrid source apportionment model; C. Ivey et al.- 102 Application of data assimilation to the UK Air Quality Forecast; A.Fraser et al.- 103 Improvements to the regional deterministic air quality analysis system for ozone and PM2.5 at the surface at the Canadian Meteorological Center; Y.Zaitseva et al.- 104 Current and future developments in numerical air quality forecasting in Canada; S. Ménard et al.

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