Air pollution diffusion simulation and seasonal spatial risk analysis for industrial areas

Lin, Yingtong; Lai, Chun Yeh; Chu, Chun Ping

doi:10.1016/j.envres.2020.110693

Cited by 33 publications

(15 citation statements)

References 22 publications

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“…This is due to the fact that they specifically consider transmission and pollutant variations in the environment, air diffusion models are appropriate for simulating PM2.5 concentrations in the air. They also have strong descriptive capacity for time variations (Lin et al, 2021). Diffusion models that are commonly used include the steady-state Gaussian plume, Lagrangian-based trajectory, and grid models based on grid division.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

“…Furthermore, petrochemical industrial zones have been reported as another major causes of pollution the environment in a number of countries, with dangerous air pollutants discharge accounting for a significant portion of that damage (Lin et al, 2021). For instance, CO, SO2, NO2, ozone, suspended particulate matter, and other air…”

Section: Traditional Pollutantsmentioning

confidence: 99%

“…The simulated results under this investigation are compatible with Taiwan's overall air pollution season (winter and spring). The ultimate underlying reason is that the major predominant wind of the northeast monsoon and the cold high pressure system that travels from China passing across Taiwan in the winter and spring (Lin et al, 2021).…”

Section: Accepted Manuscriptmentioning

confidence: 99%

“…As a result of the mountains, half of Taiwan is usually affected by weak synoptical weather, which is linked to the lowest wind speeds and greatest PM2.5 concentrations (Lin et al, 2021;C.-H. Hsu and Cheng, 2019). In addition, pollution is likely to build up in the upwind areas, especially in central and southwestern Taiwan (Cheng and Hsu, 2019;C.-H. Hsu and Cheng, 2019).…”

Section: Accepted Manuscriptmentioning

confidence: 99%

“…In addition, pollution is likely to build up in the upwind areas, especially in central and southwestern Taiwan (Cheng and Hsu, 2019;C.-H. Hsu and Cheng, 2019). Also, the northeast monsoon inclines to transport pollution from west China into this region (Lin et al, 2021).…”

Section: Accepted Manuscriptmentioning

confidence: 99%

See 4 more Smart Citations

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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Section: Accepted Manuscriptmentioning

confidence: 99%

Section: Traditional Pollutantsmentioning

confidence: 99%

Section: Accepted Manuscriptmentioning

confidence: 99%

Section: Accepted Manuscriptmentioning

confidence: 99%

Section: Accepted Manuscriptmentioning

confidence: 99%

See 3 more Smart Citations

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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The prenatal and postnatal effects of air pollution on asthma in children with atopic dermatitis

Chen

Chung

Hsieh

et al. 2022

Pediatric Pulmonology

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Objectives Air pollution is strongly associated with asthma, but has not been determined to induce new‐onset asthma development in children with atopic dermatitis (AD). Working Hypothesis To assess whether prenatal/postnatal exposure to air pollutants triggers new‐onset asthma development in children with AD. Study Design Retrospective cohort study. Patient‐subject Selection Data of patients 3% were significantly influenced by prenatal exposure to PM2.5, especially SO2, NO, and NO2. Conclusions Prenatal and postnatal exposure to air pollution have an association with asthma development in AD patients.

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Measuring the Impact of Industrial Pollution on Population in Beijing, China: An Empirical Analysis Based on the GWR Model

Miao,

2024

Environmental Science and Engineering

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Air pollution diffusion simulation and seasonal spatial risk analysis for industrial areas

Cited by 33 publications

References 22 publications

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

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

The prenatal and postnatal effects of air pollution on asthma in children with atopic dermatitis

Measuring the Impact of Industrial Pollution on Population in Beijing, China: An Empirical Analysis Based on the GWR Model

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