Dispersion Model Prospective of Air Pollution in Tirana

Hysenaj, Medjon

doi:10.21163/gt_2019.142.02

Cited by 5 publications

(8 citation statements)

References 1 publication

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“…Air pollution concentration models have been the subject of much research, the results of which have been implemented in urban areas with satisfying results. Among these works, are the Stockholm model, presented in [11], and the Vienna model [12] Among others, Hysenaj used dispersive models and their applications to predict air pollution in Tirana [13] to fulfill European emission norms. Markiewicz [14,15] discussed the methods used in air pollution dispersive models, among which the Eulerian, Lagrangian and Gaussian were distinguished.…”

Section: Models Of Air Pollution Propagationmentioning

confidence: 99%

Models of Air Pollution Propagation in the Selected Region of Katowice

2021

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The paper deals with issues related to analyzing the spread of air pollution and pollutants in large urban agglomerations, specifically, the search for causality between meteorological conditions and the concentrations of particular substances. The pollutants SO2 and PM10 were selected for analysis, which, in addition to NOx, CO, CO2 and PM2.5, contribute to smog, especially during the heating seasons. This analysis is particularly important because Polish environmental standards are more lenient than those in western EU states. Industrial activity, transport and heating systems based on coal-burning are still a big problem in Poland, and each year their gaseous and particulate emissions exceed air-quality limits. This paper presents a statistical analysis of data recorded at the air-quality monitoring station on Kossuth Street in Katowice concerning the heating seasons from 2013–2016. The verification of proposed parabolic models containing concentrations from previous time periods and statistically significant meteorological conditions was conducted for individual heating seasons as well for the whole set of data, which included the influence of wind speed and temperature. The models obtained proved that the selected form of a model is statistically significant, and its use may produce satisfactory forecast results and permit various environmental applications. The specified model might be used both for forecasting (verification and possibly updating coefficients to increase forecast accuracy) and analyzing the factors influencing pollution values. Such statistical analysis may be helpful in assessing the impact of measures adopted to reduce air pollution, particularly in large Polish cities.

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Section: Models Of Air Pollution Propagationmentioning

confidence: 99%

Models of Air Pollution Propagation in the Selected Region of Katowice

2021

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“…Spatiotemporal modeling methods offer expanding opportunities to environmental research because they allow a user to display and model the spatial relationships and patterns between causes and effect when geographic distribution also temporal occurrence are part of the problem [Wang, 2008]. Air quality models are designed to create a better perspective for further decision-making and establishment of strong and healthy policies [Hysenaj, 2019]. To create predictive scenarios helps maintain the right balance through all enrolled actors [Hysenaj, 2019].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Variations of Particulate Matter in Tirana

Hysenaj¹,

Duraj²

2021

J. Ecol. Eng.

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“…Poor environmental health and extreme climatic conditions can contribute greatly to health status (Haidu, 2009). Environmental factors also include air pollution (Hysenaj, 2019). According to Anggraeni (2017), air is a transmission medium for the cause of ARI, whether it is dust, bacteria, or viruses.…”

Section: Introductionmentioning

confidence: 99%

The Effect of Air Quality on the Incidence of Acute Respiratory Infection (Ari) in Pontianak City

Palureng¹,

Syafei²,

Assomadi³

et al. 2020

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The Regional Health Office of Pontianak City stated that in 2017, acute respiratory infection (ARI) was the most common disease in the community with 83,128 cases, highest incindence in West Kalimantan. Air is the transmission medium of ARI. The incidence of ARI increases with population growth which can be a source of air pollution due to the many activities. This study aimed to determine the effect of air quality and the effect of the season on the incidence of ARI disease in Pontianak and policies that can be established by relevant government agencies to deal with ARI. The research used secondary data, consisted of air quality and ARI incidence data. The determination was analyzed using multiple linear regression statistical methods using the RStudio software application. The results found that air quality affected 46.71% of the ARI incidence in Pontianak. Influential pollutants are NO2, SO2, and CO2. Analysis of the effect of the season showed that the air quality during the rainy season affected 65.76%, while in the dry season affected 22.67% of the ARI incidence in Pontianak. So to reduce the incidence of ARI in Pontianak, the action that we can take is by improving the air quality.

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Dispersion Model Prospective of Air Pollution in Tirana

Cited by 5 publications

References 1 publication

Models of Air Pollution Propagation in the Selected Region of Katowice

Models of Air Pollution Propagation in the Selected Region of Katowice

Spatiotemporal Variations of Particulate Matter in Tirana

The Effect of Air Quality on the Incidence of Acute Respiratory Infection (Ari) in Pontianak City

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