Accountability of wind variability in AERMOD for computing concentrations in low wind conditions

Pandey, Gavendra; Sharan, Maithili

doi:10.1016/j.atmosenv.2019.01.017

Cited by 21 publications

(8 citation statements)

References 43 publications

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“…Additionally, the model can estimate the concentration of air pollutants: (1) the outputs of the model are 1-h average concentrations (Pandey & Sharan, 2019 ), (2) and the recommendation that it applies to study areas less than 50 km from the source (Mokhtar et al, 2014 ). The software requires meteorological and terrain inputs through two preprocessors, AERMET and AERMAP.…”

Section: Methodsmentioning

confidence: 99%

Evaluation of the danger of a tailings pile belonging to an active mine through its characterization and a dispersion model

González-Sánchez

Mendoza-Lara

Romero-Hernández

et al. 2023

Environ Monit Assess

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Mining is one of the principal economic activities in Mexico, which in addition to bringing benefits to the population, causes health and environmental problems. This activity produces a lot of wastes, but the main one is tailings. In Mexico, these wastes are disposed of in the open air, and there is no control over them, so the particles of these wastes are dispersed by wind currents to the surrounding population. In this research, tailings were characterized, finding in them particles smaller than 100 microns; in this way, tailings can enter into the respiratory system and hence can cause diseases. Furthermore, it is important to identify the toxic components. The present work does not have previous research in Mexico, and it shows a qualitative characterization of the tailings from an active mine using different analytical techniques. In addition to the data obtained from the characterization of the tailings, as well as the concentration of the toxic elements found, which were Pb and As, a dispersal model was generated and used to estimate the concentration of particles in the wind generated at the studied area. The air quality model used in this research is AERMOD, where it uses emission factors and available databases provided by Environmental Protection Agency (USEPA); Moreover, the model was coupled with meteorological information from the latest generation WRF model. The modeling results estimated that the dispersion of particles from the tailings dam can contribute up to 10.15 µg/m3 of PM10 to the air quality of the site, which, according to the characterization of the samples obtained, could be dangerous for human health and can be estimated up to a concentration of 0.04 µg/m3 of Pb and 10.90 ng/m3 of As. It is very important to make this kind of research to know the risk which people around this disposal sites are exposed to.

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Section: Methodsmentioning

confidence: 99%

Evaluation of the danger of a tailings pile belonging to an active mine through its characterization and a dispersion model

González-Sánchez

Mendoza-Lara

Romero-Hernández

et al. 2023

Environ Monit Assess

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show abstract

“…Furthermore, the adjusted surface friction velocity technique was considered. This option has the aim of addressing model performance concerns for stably stratified atmospheric boundary layers under low wind speeds (Pandey and Sharan 2019 ; Qian and Venkatram 2011 ). Background pollutant concentrations were not considered so that only the dairy farm emissions are reflected in the NH 3 and H 2 S ambient concentration estimates.…”

Section: Methodsmentioning

confidence: 99%

Determination of ammonia and hydrogen sulfide emissions from a commercial dairy farm with an exercise yard and the health-related impact for residents

Yang

Brancher

et al. 2020

Environ Sci Pollut Res

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Airborne emissions from concentrated animal feeding operations (CAFOs) have the potential to pose a risk to human health and the environment. Here, we present an assessment of the emission, dispersion, and health-related impact of ammonia and hydrogen sulfide emitted from a 300-head, full-scale dairy farm with an exercise yard in Beijing, China. By monitoring the referred gas emissions with a dynamic flux chamber for seven consecutive days, we examined their emission rates. An annual hourly emission time series was constructed on the basis of the measured emission rates and a release modification model. The health risk of ammonia and hydrogen sulfide emissions around the dairy farm was then determined using atmospheric dispersion modeling and exposure risk assessment. The body mass-related mean emission factors of ammonia and hydrogen sulfide were 2.13 kg a−1 AU−1 and 24.9 g a−1 AU−1, respectively (one animal unit (AU) is equivalent to 500 kg body mass). A log-normal distribution fitted well to ammonia emission rates. Contour lines of predicted hourly mean concentrations of ammonia and hydrogen sulfide were mainly driven by the meteorological conditions. The concentrations of ammonia and hydrogen sulfide at the fence line were below 10 μg m−3 and 0.04 μg m−3, respectively, and were 2–3 orders of magnitude lower than the current Chinese air quality standards for such pollutants. Moreover, the cumulative non-carcinogenic risks (HI) of ammonia and hydrogen sulfide were 4 orders of magnitudes lower than the acceptable risk levels (HI = 1). Considering a health risk criterion of 1E-4, the maximum distance from the farm fence line to meet this criterion was nearly 1000 m towards north-northeast. The encompassed area of the contour lines of the ambient concentration of ammonia is much larger than that of hydrogen sulfide. However, the contour lines of the ammonia health risk are analogous to those of hydrogen sulfide. In general, the ammonia and hydrogen sulfide emissions from the dairy farm are unlikely to cause any health risks for the population living in the neighborhood.

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“…AERMOD (version 14,134, https://www.epa.gov/scram/airquality-dispersion-modeling-preferred-and-recommendedmodels) is a Gaussian plume model that is recommended to estimate short-range (less than 50 km) pollution concentration by the USEPA. Terrain features and meteorological parameters are pre-processed by AERMAP and AERMET, respectively [16]. More specifically, AERMET estimates planetary boundary layer height, Monin-Obukhov length, surface heat flux along with physical atmospheric properties, etc., and writes it in an SFC file format.…”

Section: Aermodmentioning

confidence: 99%

Aerosolized SARS-CoV-2 exposure assessment: dispersion modeling with AERMOD

Rezaali

Fouladi-Fard

2021

J Environ Health Sci Engineer

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Accountability of wind variability in AERMOD for computing concentrations in low wind conditions

Cited by 21 publications

References 43 publications

Evaluation of the danger of a tailings pile belonging to an active mine through its characterization and a dispersion model

Evaluation of the danger of a tailings pile belonging to an active mine through its characterization and a dispersion model

Determination of ammonia and hydrogen sulfide emissions from a commercial dairy farm with an exercise yard and the health-related impact for residents

Aerosolized SARS-CoV-2 exposure assessment: dispersion modeling with AERMOD

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