Performance evaluation of ISCST3, adms-urban and aermod for urban air quality management in a mega city of India

Gulia, Sunil; Nagendra, S.M. Shiva; Khare, Mukesh

doi:10.2495/sdp-v9-n6-778-793

Cited by 7 publications

(3 citation statements)

References 15 publications

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“…Local weather data would produce more accurate results on the "micro" scale of this project. In addition, the choice of ISCST3 for this study over the recent EPA approved AERMOD was influenced by the fact that ISCST3 was found to perform better than AERMOD under stable winter conditions [35] and flat simple terrains [9] as has been the case in this study.…”

Section: Introductionmentioning

confidence: 99%

An In Toto Approach to Radon Dispersion Modelling from a South African Gold Mine Tailings

Komati

Ntwaeaborwa

Strydom³

2022

IJERPH

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The USA Environmental Protection Agency’s (EPA) Industrial Source Complex Short Term 3 (ISCST3) dispersion modelling code was used to evaluate radon transport and the effects of local variations around tailings dam using a Gaussian plume model. The tailings dam was modelled as point, flat ground and top level, total emitting surface area (true geometry) and volume source geometries. The true area geometry was considered as the baseline source geometry. To improve the accuracy of the model predictions as compared to traditional approaches, the true geometry area source term was corrected to account for cracks and fissures on the tailings and the geometry of tailings dam was modelled by considering all emitting surfaces as sources. Compared to the baseline, the model overpredicted the flat ground area source by up to 274% and underpredicted the top-level area source by up to 50%. The volume emission source was overpredicted by up to 300% in 60% of the modelling runs and underpredicted by 55% in 40% of the volume model runs. While the top-level area source term produced lower concentrations at near-field ground-level receptors, accounting for the wakes effect increased the radon concentrations from the top-level area source of the tailings dam by up to 239%. From the modelling results, the highest concentration predicted by the model from the true geometry source was found to be 0.843 Bq m−3, which corresponds to the dose of 0.012 mSv/y to the public due to radon from the tailings. This value is less than the 1 mSv/y dose constraint stipulated by the National Nuclear Regulator.

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Section: Introductionmentioning

confidence: 99%

An In Toto Approach to Radon Dispersion Modelling from a South African Gold Mine Tailings

Komati

Ntwaeaborwa

Strydom³

2022

IJERPH

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“…Past studies have demonstrated the ability of dispersion models such as the American Meteorological Society/U.S. Environmental Protection Agency Regulatory Model (AERMOD) to simulate local emissions sources and ambient concentrations of gaseous and particulate pollutants in urban air pollution studies (Gibson et al, 2013;Gulia et al, 2014;Askariyeh et al, 2017;Katika and Karuchit, 2018;Salva et al, 2021) and to assess industrial source impacts (Seangkiatiyuth et al, 2011;Afzali et al, 2017;Tran et al, 2019;Hanma, 2021). As for simulating PM 2.5 in Bangkok, a review of source apportionment studies indicates that traffic emissions and biomass burning are the most important sectors (Wimolwattanapun et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Application of a PM2.5 dispersion model in the Bangkok central business district for air quality management

Ratanavalachai,

Trivitayanurak

2023

Front. Environ. Sci.

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Model simulations are conducted for fine particles diameter less than 2.5 microns (PM2.5) in the Chulalongkorn University area in the central business district of Bangkok, Thailand, where PM2.5 originating from road traffic is a recurring problem. For input to the American Meteorological Society/U.S. Environmental Protection Agency Regulatory Model (AERMOD), an hourly continuous vehicle type classified emissions inventory is developed based on local traffic observations and published emissions factors. The simulation accounts for advected-in PM2.5 by hourly measurements from upwind stations. The result reveals a hotspot location near a nearby expressway with PM2.5 concentration peaking at 1-h and 24-h averages of 344 and 130 μg m−3, respectively. Source contribution analysis of the annual average PM2.5 at this hotspot suggests that the expressway contributes approximately 32% of the total PM2.5. Meanwhile, at receptor points farther from the expressway, ground-level urban roads contribute only 17.5% roadside PM2.5 concentrations, the remainder coming from outside the modeled area. A different source contribution breakdown by vehicle type suggests that heavy-duty vehicles contribute up to 21% of annual average PM2.5 at a location near the expressway. At a roadside receptor point farther from the expressway, the top contributors are light-duty (9%) and heavy-duty vehicles (6%). Advected-in PM2.5 dominates the overall PM2.5 concentrations, accounting for 64%–99% depending on the receptor point. The model performance for 24-h average prediction is acceptable. A scenario study is also performed to compare the potential effectiveness of two PM2.5 abatement measures.

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“…forecasts were the most accurate in terms of NOx and SO2 concentrations, while Caline4 overestimated NOx levels Gulia et al (2014). employed AERMOD, ADMS-Urban, and ISCST3 to estimate air quality at a particular intersection in Delhi, India.…”

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confidence: 99%

Assessment of PM2.5 Chemical Composition and Air Quality Monitoring: Implications of Air Pollutants Emissions from a Night Market in Kaohsiung City, Taiwan

Amesho

Lin

Gong

et al. 2021

Aerosol Air Qual. Res.

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There are around 300 night markets in Taiwan, and they have been drawing an increasing number of tourists in recent years. As a result, public awareness over air quality in the night markets has grown tremendously. In response to this, a specific night market in Kaohsiung City was chosen for this study in order to characterize the existing air quality in and around the night markets. In this present study, we employed an Industrial Source Complex Short-Term (ISCST3) air quality model for the simulation of PM2.5 diffusions. The model as a technique can simulate the pollutants emissions, diffusions, transportation, and pollution sources in specific areas and subsequently evaluate the influence between the source and the receiver. Therefore, we compared pollutants emissions data from several air quality monitoring stations with our sampling data of three different sampling sites in Kaohsiung City. The findings of this study showed that the average concentration of PM2.5 was in the range of 29-61 µg m -3 during opening hours of the night market, whereas the average concentration of PM2.5 range was between 22-38 µg m -3 before the night market opening hours. The concentration of metallic elements (ME) (Mg, Na, Cr, Mn, Fe, Cu, Al, Ba, Cd, Pb and Ca) was determined with the support of Inductively Coupled Plasma Optical Emission Spectroscopy (ICP-OES). During the night market opening hours, the result disclosed that the ME concentrations in PM 2.5 was in an increasing order as follows: Na>Fe>Al>Ca. With respect to the concentration of carbonaceous species, our results showed that the highest total carbon (TC) concentration was found to be 6.52 µg m -3 during the downwind sampling interval. The highest elemental carbon (EC) and organic carbon (OC) concentration were found to be 6.53 µg m -3 and 2.70 µg m -3 of the PM2.5 concentration, respectively. This study's findings have significant consequences for Taiwan policymakers and urban planners, particularly those responsible for coordinating environmental protection and economic development in cities. Therefore, police actions to abate urban air pollution can be attained on diverse governing echelons, resulting in synergistic effects such as a reduction in climate change impacts.

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Performance evaluation of ISCST3, adms-urban and aermod for urban air quality management in a mega city of India

Cited by 7 publications

References 15 publications

An In Toto Approach to Radon Dispersion Modelling from a South African Gold Mine Tailings

An In Toto Approach to Radon Dispersion Modelling from a South African Gold Mine Tailings

Application of a PM2.5 dispersion model in the Bangkok central business district for air quality management

Assessment of PM2.5 Chemical Composition and Air Quality Monitoring: Implications of Air Pollutants Emissions from a Night Market in Kaohsiung City, Taiwan

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