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This digital document is an article from Journal of the Air & Waste Management Association, published by Air and Waste Management Association on September 1, 2008. The length of the article is 9861 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available immediately after purchase. You can view it with any web browser.

Citation Details
Title: Dispersion modeling to compare alternative technologies for odor remediation at swine facilities.(TECHNICAL PAPER)(Technical report)
Author: Susan S. Schiffman
Publication: Journal of the Air & Waste Management Association (Magazine/Journal)
Date: September 1, 2008
Publisher: Air and Waste Management Association
Volume: 58Issue: 9Page: 1166(11)

Article Type: Technical report

Distributed by Gale, a part of Cengage Learning ... Read more

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ULTIMATE CLEAN AIR ACT COMPLIANCE KIT

Now there's a complete manual for anyone concerned with volatile organic compounds and particulate matter in the air. Focusing on stationary sources (stack emissions), Atmospheric Dispersion Modeling Compliance Guide, by Karl B. Schnelle, Jr. and Partha R. Dey, gives you a framework for understanding air pollution modeling. With worked-outproblems clarifying important models and concepts, this handy book/disc package is the clearest, most comprehensive and up-to-date, tool available for assuring compliance under the Clean Air Act and its amendments, and similar international regulations. You get:*Formulas for multiple sources and receptors*The Industrial Source Complex (ISC) model, puff and urban models, and boundary layer parameterizations models*Guidance on accidental emissions and chimney design*Review of harmonization of European models*Much more [CD-ROM logo - box]Included CD-ROM puts atmospheric diffusion modeling programs fordealing with real-world problems at your fingertips. ... Read more

Customer Reviews (1)

Excellent Book!! . It contains all the teory needed.
The Authors have done an excellent job putting together, compiling and sorting the teory related with dispersion modeling.
The Book is written in a clear way to let you go deep and deep on the phenomena of dispersion, and the tools (mathematicals/procedures/etc) are introduced as needed.
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Excellent Book! ... Read more

Product Description
This digital document is a journal article from Atmospheric Environment, published by Elsevier in 2007. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

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Currently used dispersion models, such as the AMS/EPA Regulatory Model (AERMOD), process routinely available meteorological observations to construct model inputs. Thus, model estimates of concentrations depend on the availability and quality of meteorological observations, as well as the specification of surface characteristics at the observing site. We can be less reliant on these meteorological observations by using outputs from prognostic models, which are routinely run by the National Oceanic and Atmospheric Administration (NOAA). The forecast fields are available daily over a grid system that covers all of the United States. These model outputs can be readily accessed and used for dispersion applications to construct model inputs with little processing. This study examines the usefulness of these outputs through the relative performance of a dispersion model that has input requirements similar to those of AERMOD. The dispersion model was used to simulate observed tracer concentrations from a Tracer Field Study conducted in Wilmington, California in 2004 using four different sources of inputs: (1) onsite measurements; (2) National Weather Service measurements from a nearby airport; (3) readily available forecast model outputs from the Eta Model; and (4) readily available and more spatially resolved forecast model outputs from the MM5 prognostic model. The comparison of the results from these simulations indicate that comprehensive models, such as MM5 and Eta, have the potential of providing adequate meteorological inputs for currently used short-range dispersion models such as AERMOD. ... Read more

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Air pollution is recognized as one of the leading contributors to the global environmental burden of disease, even in countries with relatively low concentrations of air pollution. Air Pollution: Health and Environmental Impacts examines the effect of this complex problem on human health and the environment in different settings around the world. It not only covers general modeling, monitoring, and characterization techniques but also includes field studies and cases that offer valuable insight into region-specific issues.

With contributions from a distinguished group of international experts, the book explores ways of controlling air pollution and mitigating its adverse effects on human health and the environment. Often taking a regional and global perspective, it discusses the monitoring and source characterization of air pollution, the theory and application of air quality modeling, health effects and risk assessment, and the environmental impacts of air pollution. The book also addresses air quality management and relevant policy issues.

Along with providing an understanding of the scientific basis of air pollution, this volume helps readers better appreciate social and environmental determinants of public health and apply country-based research evidence to reduce health disparities and environmental inequalities. It also encourages future research and policy action on the health and environmental consequences of air pollution from the local to global level.

Product Description
This digital document is an article from Journal of the Air & Waste Management Association, published by Thomson Gale on March 1, 2007. The length of the article is 6491 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.

Citation Details
Title: Modeling dispersion from toxic gas released after a train collision in Graniteville, SC.(TECHNICAL PAPER)
Author: Robert L. Buckley
Publication: Journal of the Air & Waste Management Association (Magazine/Journal)
Date: March 1, 2007
Publisher: Thomson Gale
Volume: 57Issue: 3Page: 268(11)

Distributed by Thomson Gale ... Read more

Product Description
This digital document is a journal article from Environment International, published by Elsevier in 2006. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

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This analysis seeks to evaluate the influence of emission source location on population exposure in China to fine particles and sulfur dioxide. We use the concept of intake fraction, defined as the fraction of material or its precursor released from a source that is eventually inhaled or ingested by a population. We select 29 power-plant sites throughout China and estimate annual average intake fractions at each site, using identical source characteristics to isolate the influence of geographic location. In addition, we develop regression models to interpret the intake fraction values and allow for extrapolation to other sites. To model the concentration increase due to emissions from selected power plants, we used a detailed long-range atmospheric dispersion model, CALPUFF. Primary fine particles have the highest average intake fraction (1x10^-^5), followed by sulfur dioxide (5x10^-^6), sulfate from sulfur dioxide (4x10^-^6), and nitrate from nitrogen oxides (4x10^-^6). For all pollutants, the intake fractions span approximately an order of magnitude across sites. In the regression analysis, the independent variables are meteorological proxies (such as climate region and precipitation) and population at various distances from the source. We find that population terms can explain a substantial percentage of variability in the intake fraction for all pollutants (R^2 between 0.86 and 0.95 across pollutants), with a significant modifying influence of meteorological regime. Near-source population is more important for primary coarse particles while population at medium to long distance is more important for primary fine particles and secondary particles. A significant portion of intake fraction (especially for secondary particles and primary fine particles) occurs beyond 500 km of the source, emphasizing the need for detailed long-range dispersion modeling. These findings demonstrate that intake fractions for power plants in China can be estimated with reasonable precision and summarized using simple regression models. The results should be useful for informing future decisions about power-plant locations and controls. ... Read more

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This digital document is a journal article from Atmospheric Environment, published by Elsevier in 2005. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

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Hourly mean concentration data for nitrogen oxides (NO"X), nitrogen dioxide (NO"2) and ozone (O"3) have been used to derive a method for estimating the mean primary NO"2 fraction from vehicle exhausts in London. A set of simple chemical equations has been used to explain the differences in NO"2 concentrations between background and roadside site pairs and to estimate the proportion of NO"2 that is likely to be derived from primary NO"2 vehicle emissions and the NO"2 formed through the reaction of nitric oxide (NO) with O"3. These results suggest that there is a wide range of primary NO"2 emission fractions observed on different roads in London. The estimates ranged from 3.2 to 23.5 vol% with a median value of 10.6 vol% for the 43 measurement sites considered. A median primary NO"2 fraction of 10.6% accounts for an average of 21% of the observed NO"2 concentration at roadside sites. The range in calculated primary NO"2 fractions explains much of the variation in annual mean NO"2 concentrations between monitoring sites in London. The estimated primary NO"2 fraction is considerably higher than the 5.0 vol% typically used in modelling studies that aim to predict ambient NO"2 concentrations. These results have implications for the assessment of NO"2 concentrations in London and whether London will meet the limit values set by the European Union. Further work is required to explain the wide range of primary NO"2 fractions estimated in terms of road traffic composition and activity. ... Read more

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This digital document is a journal article from Atmospheric Environment, published by Elsevier in . The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

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A semi-analytical Lagrangian particle model to simulate the pollutant dispersion during low wind speed conditions is presented and tested. The method relies to a stochastic integral equation whose solution is obtained using ILS method, which consists in the iterative solution of Langevin equation by the Picard's iteration method. To consider the low wind speed effect, the solution for the horizontal components of the turbulent velocity takes account the Eulerian autocorrelation function as suggested by Frenkiel [1953. Advances in Applied Mechanics 3, 61-107]. The model results are shown to agree very well with the field tracer data collected during stable conditions at Idaho National Engineering Laboratory (INEL) and during convective conditions from the series of field experiments at Indian Institute of Technology (IIT). A statistical analysis reveals that the model simulates very well the experimental data and presents results comparable or even better than ones obtained with other models used as comparison. The analytical feature of the ILS method and the inclusion of the Eulerian autocorrelation function suggested by Frenkiel (1953) allow generating more accurate results. ... Read more

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This digital document is a journal article from Atmospheric Environment, published by Elsevier in 2004. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

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During the BERLIOZ field campaign unusually high levels of ozone (88ppbv) and PAN (2.5ppbv) were detected at the Frohnau Tower just north of Berlin, Germany, in the night from 6 to 7 August 1998. In these air masses the formation of PAN was in particular favored compared to ozone due to the enhanced levels of hydrocarbons. Analyses with the particle dispersion model FLEXPART revealed that the pollution had its origin in the Netherlands and the southern United Kingdom about two days before. This event confirms previous findings that regional air quality can substantially be affected by pollution transport from remote regions and that pollution transport should be accounted for in regional air quality standards. ... Read more