Irregularly emitting air pollution sources: acute health risk assessment using AERMOD and the Monte Carlo approach to emission rate

Balter, B.M.; Faminskaya, M.V.

doi:10.1007/s11869-016-0428-x

Cited by 11 publications

(7 citation statements)

References 8 publications

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“…For all plants, we included the full set of their pollution sources, as reported in their regulatory documents. To simplify the interpretation of results, all sources were assumed to work uninterruptedly, with constant emission rates, in contrast to regulatory dispersion modeling (Balter & Faminskaya, 2017). We studied the available datasets, selected those that yield reasonable values of AERMOD input parameters, and interfaced them with AERMOD.…”

Section: Data Used In This Papermentioning

confidence: 99%

“…We show how several types of space-based data can be used in AERMOD, and assess to what extent their use changes the modeled pollutant concentrations important for human health. We do this for a selection of five different industrial plants, with a special focus on two: a coke chemical plant and a cleaning station (Balter & Faminskaya 2017). Journal of Geoscience and Environment Protection…”

Section: Introductionmentioning

confidence: 99%

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Space Observations and Global Climatic Data Reanalysis in AERMOD Modeling Package to Enhance the Industrial Air Pollution and Health Risk Assessment

Faminskaya¹

2020

GEP

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We try to enhance the AERMOD industrial pollution dispersion model with remote sensing observations and climatic models based on them. In this paper, we focus on surface parameters (albedo, roughness, Bowen ratio) and land use classification on which they depend. We model maximum hourly concentrations and the resulting acute health risk and assess the effect on them produced by using remote sensing data for local areas around industrial plants instead of global standard AERMOD parameters. We consider five real multi-source plants for the effect of classification and two of them for the effect of surface parameters. The effect on the critical pollutant is measured in three ways: a) as difference between the yearly maxima of hourly concentrations of a critical pollutant ("absolute"); b) the same limited to daytime workhours and 95% quantile instead of absolute maximum ("regulatory"); c) as maximum hourly difference over a year ("instant"). The measure of effect is divided either by the reference concentration of the pollutant, which yields the impact on health risk, or by the concentration obtained with AERMOD standards, which yields relative measure of impact. For a), the impact of roughness dominates, that of albedo is small and that of the Bowen ratio is almost zero. For b), the impact of roughness is less prominent, and that of albedo and Bowen ratio is noticeable. For c), the impact is considerable for all three parameters. The effect of land use classification is considerable in all three cases a)c). We provide the figures for different measures of remote sensing data effect and discuss the perspective of using remote sensing data in regulatory context.

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Section: Data Used In This Papermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Space Observations and Global Climatic Data Reanalysis in AERMOD Modeling Package to Enhance the Industrial Air Pollution and Health Risk Assessment

Faminskaya¹

2020

GEP

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“…The Monte Carlo approach is widely used in addressing problems associated with emissions from irregularly emitting sources, as it provides more realistic estimates of health risk (Li, Huang, and Zou 2008;Lonati and Zanoni 2013). Monte Carlo has been used to determine protective zones for intermittent irregular sources (Balter and Faminskaya 2016). For irregularly varying power-plant emissions, the Electric Power Research Institute sponsored the development of a Monte Carlo tool, EMVAP (Paine et al 2014), useful in assessing compliance with National Ambient Air Quality Standards (NAAQS; Guerra 2014).…”

Section: Receptorsmentioning

confidence: 99%

Evaluating potential human health risks from modeled inhalation exposures to volatile organic compounds emitted from oil and gas operations

Holder

Hader

Avanasi

et al. 2019

Journal of the Air & Waste Management Association

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Some states and localities restrict siting of new oil and gas (O&G) wells relative to public areas. Colorado includes a 500-foot exception zone for building units, but it is unclear if that sufficiently protects public health from air emissions from O&G operations. To support reviews of setback requirements, this research examines potential health risks from volatile organic compounds (VOCs) released during O&G operations.We used stochastic dispersion modeling with published emissions for 47 VOCs (collected onsite during tracer experiments) to estimate outdoor air concentrations within 2,000 feet of hypothetical individual O&G facilities in Colorado. We estimated distributions of incremental acute, subchronic, and chronic inhalation non-cancer hazard quotients (HQs) and hazard indices (HIs), and inhalation lifetime cancer risks for benzene, by coupling modeled concentrations with microenvironmental penetration factors, human-activity diaries, and health-criteria levels.Estimated exposures to most VOCs were below health criteria at 500-2,000 feet. HQs were < 1 for 43 VOCs at 500 feet from facilities, with lowest values for chronic exposures during O&G production. Hazard estimates were highest for acute exposures during O&G development, with maximum acute HQs and HIs > 1 at most distances from facilities, particularly for exposures to benzene, 2-and 3-ethyltoluene, and toluene, and for hematological, neurotoxicity, and respiratory effects. Maximum acute HQs and HIs were > 10 for highest-exposed individuals 500 feet from eight of nine modeled facilities during O&G development (and 2,000 feet from one facility during O&G flowback); hematologic toxicity associated with benzene exposure was the critical toxic effect. Estimated cancer risks from benzene exposure were < 1.0 × 10 −5 at 500 feet and beyond.Implications: Our stochastic use of emissions data from O&G facilities, along with activitypattern exposure modeling, provides new information on potential public-health impacts due to emissions from O&G operations. The results will help in evaluating the adequacy of O&G setback distances. For an assessment of human-health risks from exposures to air emissions near individual O&G sites, we have utilized a unique dataset of tracer-derived emissions of VOCs detected at such sites in two regions of intense oil-and-gas development in Colorado. We have coupled these emission stochastically with local meteorological data and population and time-activity data to estimate the potential for acute, subchronic, and chronic exposures above health-criteria levels due to air emissions near individual sites. These results, along with other pertinent health and exposure data, can be used to inform setback distances to protect public health.

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“…Дымовые струи от труб крупных ТЭЦ могут прослеживаться на значительных расстояниях от источников. В зависимости от метеорологических условий поперечные размеры шлейфов примеси могут варьироваться в широком диапазоне [3][4][5][6].…”

Section: Introductionunclassified

“…Использование методов численного моделирования позволяет анализировать процессы распространения примесей в атмосфере [7][8][9][10][11][12][13]. На основе постановок обратных задач оценивались текущие параметры атмосферы и источников примесей [2, 6,9,[14][15][16]. Для моделирования процессов распространения примесей представляет интерес задача оценивания дополнительных высот подъема дымовых факелов над трубами за счет динамических факторов и температуры выбросов газо-воздушной смеси в условиях реальной атмосферы [17,18].…”

Section: Introductionunclassified

Model of Estimation of Parameters of the Lower Atmosphere Based on Satellite Images and Ground-Based

Леженин

Yaroslavtseva²,

Raputa

2019

Interexpo GEO-Siberia

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Изложен способ вычисления профилей ветра и коэффициента вертикального турбулентного обмена в нижней атмосфере. Метод базируется на использовании данных метеорологических наблюдений и спутниковых снимков дымовых шлейфов от высотных труб промышленных предприятий. Модель оценивания основана на решениях уравнений экмановского пограничного слоя. Применительно к г. Барнаулу проведен анализ распространения дымового факела ТЭЦ-3 и представлены расчеты составляющих скорости ветра в пограничном слое атмосферы. Показана возможность применения предложенного подхода для исследования загрязнения атмосферы города.Ключевые слова: метеорологические наблюдения, дымовой шлейф, спутниковые снимки, параметр, модель оценивания.

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Irregularly emitting air pollution sources: acute health risk assessment using AERMOD and the Monte Carlo approach to emission rate

Cited by 11 publications

References 8 publications

Space Observations and Global Climatic Data Reanalysis in AERMOD Modeling Package to Enhance the Industrial Air Pollution and Health Risk Assessment

Space Observations and Global Climatic Data Reanalysis in AERMOD Modeling Package to Enhance the Industrial Air Pollution and Health Risk Assessment

Evaluating potential human health risks from modeled inhalation exposures to volatile organic compounds emitted from oil and gas operations

Model of Estimation of Parameters of the Lower Atmosphere Based on Satellite Images and Ground-Based

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