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Air Pollution - Astrophysics Data System

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Last Updated: 08 August 2022

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Computational Fluid Dynamics of Wind Flow and Air Pollution Modelling: A Review on 3D Building Model Standards

In addition, wind flow that has a close correlation with air pollution dispersion can also be visualized by using CFD simulation. The presence of a building, particularly in terms of the building's geometry, has a direct effect on air pollution dispersion and wind flow that occur around a building or in a narrow research area. While building models are involved in the simulation, several of the building modeling tools: Computer-Aided Design, City Geographic Markup Language, and Building Information Modelling are among the building modeling techniques that are being used in this study.

Source link: https://ui.adsabs.harvard.edu/abs/2022E&ES.1064a2051R/abstract


Estimating Ambient Air Pollution Using Structural Properties of Road Networks

We've seen the world becoming more concerned with air pollution and its connection to climate change in recent years. We show in this paper that we can estimate air pollution using open-source data regarding the road system. Impact Statement: We demonstrate that a linear regression model underpinned by just a single structural property, along the track length and unclassified road network in 0. 5 percent of districts within England and Wales, is sufficient information to determine which districts are the most polluted, as shown by the following links. Policymakers who want to pursue clean air policies require clear practical applications, but policymakers who want to pursue clean air policies lack the resources to invest in comprehensive dedicated monitoring networks, opening the door for the implementation of tools to determine air pollution levels in low-income countries.

Source link: https://ui.adsabs.harvard.edu/abs/2022arXiv220714335B/abstract


Air pollution exposure and its impacts on everyday life and livelihoods of vulnerable urban populations in South Asia

Urban populations in South Asia are often exposed to poor air quality, particularly elevated levels of fine particulate matter. However, the potential urban poor's differential burden has received no attention. In Lahore, Kathmandu, and Mandalay, we investigate the links between work, patterns of exposure to PM 2. 5, and the effects on vulnerable populations at an individual and household level. Low-income groups are concentrated in occupations that expose them to higher levels.

Source link: https://ui.adsabs.harvard.edu/abs/2022ERCom...4g1002M/abstract


Fractional order Lorenz based physics informed SARFIMA-NARX model to monitor and mitigate megacities air pollution

Composition of ambient PM not only causes significant harm to public health but also emerges as a global threat, particularly for urban environments, with negative impacts on human health and morbidity. Hourly short-term trends of PM2. 5 and air quality index of Lahore, Pakistan's city of Pakistan are monitored and limited by the construction of fractional order Lorenz based physics informed hybrid computing paradigm SARFIMA-NARX for forecasting hourly pattern for the next two days in this report. A combination of biological, physical, and chemical reactions governed by the various laws of science provide additional insight into the climate variation in terms of physics inform intelligence. Environmental monitoring companies may use early predictions based on the computational intelligence paradigm to minimize air pollution reduction by cost-effectiveness planning.

Source link: https://ui.adsabs.harvard.edu/abs/2022CSF...16112375B/abstract


A Social Vulnerability Index for Air Pollution and Its Spatially Varying Relationship to PM2.5 in Uganda

Fine particulate matter is a common air pollutant that is harmful to human health. To determine where vulnerable populations are located, social vulnerability indices are used. Using low-cost PM2. 5 sensors and spatial interpolation, the mean PM2. 5 for Kampala at the parish level was estimated. Positive linear correlations were found in subcounties in Uganda's northern, western, and central areas, as well as in some northern parishes in Kampala.

Source link: https://ui.adsabs.harvard.edu/abs/2022Atmos..13.1169C/abstract


Prediction of air pollutant concentration in Jinchang City

Predicting air pollution can help people plan for preventive responses. To examine the six basic air pollutants, we used meteorological and air pollutant surveillance data and pollutant discharge point monitoring results of Jinchang City, Gansu Province, and fused the meteorological and air pollution reports of the neighboring areas, as well as model testing and forecast analysis. The A-LSTM-Seq model developed in this paper does better; for short-term NO2, O3 and CO measurements, the prediction error is larger than the previous three; for PM2. 5, PM10, and SO2, the observed values of these three are widely distributed, and the data is discrete. The model pays attention to all six essential air pollutants, has demonstrated economic value and use in the estimation of air pollution on an hourly time scale, as well as references for the estimation of AQI.

Source link: https://ui.adsabs.harvard.edu/abs/2022SPIE12254E..25Z/abstract


Health impact assessment and evaluation of economic costs attributed to PM 2.5 air pollution using BenMAP-CE

Air pollution is the most common public health issue. Using BenMAP-CE in Qom in 2019, this research sought to quantify health risks and related economic value of reducing PM 2. 5 air pollution. The air quality reports were obtained from the Qom Province Environmental Protection Agency, and population records were obtained from the Qom Province Planning and Planning Organization website, which were posted. In total, a total of 4694. 5 and 2475. 94 premature deaths in scenarios I and II were discovered to be attributable to PM 2. 5. In scenarios I and II, respectively, there were 158,657. 06 and 78,351. 51. Both health and economic evaluations show the importance of addressing the air pollution problem in Qom, as well as other major cities in Iran.

Source link: https://ui.adsabs.harvard.edu/abs/2022IJBm..tmp..116S/abstract


Impact of AIS Data Thinning on Ship Air Pollutant Emissions Inventories

The effect of automatic identification system data thinning on ship emissions inventory results is explored in this article. The thinning interval expands, according to the results, AIS data thinning affects the ships' air pollutant emissions inventory results, and the effect is much greater as the thinning interval increases. The effects of thinning on ships with extremely fast speeds are getting more apparent as the main reason for data thinning affects ship emissions statistics is changing speed. These results indicate that AIS data should be thinned at intervals of less than 10 minutes when establishing a coastal or national ship pollutant emissions registry, and that data thinning is not recommended when creating a port or smaller-scale ship air pollutant emissions inventory.

Source link: https://ui.adsabs.harvard.edu/abs/2022Atmos..13.1135T/abstract


Analysis of Synergistic Effects of Cold Source and East Asian Winter Wind on Air Pollution in Typical Regions of China in Winter

According to thermodynamic equations, the atmospheric apparent heat source Q1 over the Tibetan Plateau in December of 1954 to 2013 is estimated, based on thermodynamic equations, and the East Asian winter monsoon index is calculated. When it is a good cold source year, abnormal downdrafts and "temperature inversion covers" occur in areas far from the high terrain, resulting in increased noise, while the reverse is true in poor cold source years. In poor EAWMI years, there is unusually low flow in the lower layers of mid-high latitudes, which raises the amount of volatile air in the region south of 30 N, increasing the noise, which is also true in poor EAWMI years.

Source link: https://ui.adsabs.harvard.edu/abs/2022Atmos..13.1162L/abstract


A Study on the Framework for Estimating Ship Air Pollutant Emissions—Focusing on Ports of South Korea

The issue of air pollution created by shipping is getting more significant as a result of trade globalization and rapid growth of the global economy. The exhaust gas generated by ships has been a major source of air pollution in ocean and coastal areas. Establishing ship emissions control policies and regulations is vital in establishing ship emissions control policies and guidelines. This paper was intended to provide a framework for estimating ship air pollutant emissions by comprehensively investigating processes and methods used in advanced countries, such as the United States and others in the EU, as well as South Korean conditions and available data sets. The findings of this research established a baseline for South Korean domestic port emission inventories. A case report focused on the Gwangyang and Yeosu Ports, one of South Korea's biggest port areas, using adaptive data processing and emission calculation techniques.

Source link: https://ui.adsabs.harvard.edu/abs/2022Atmos..13.1141Z/abstract

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions