Determining the effect of air transportation on air pollution in the most polluted city in Turkey

Purpose This study was carried out in Igdir, where Turkey’s urban air pollution is at the highest level, and the population is among the smallest. Thus, the study aims to determine the effect of air transportation on air pollution in the most polluted city in Turkey. Design/methodology/approach The approach includes six stages: choosing the airport, accessing the flight information for the airport, classifying the aircraft that operated at the airport, determining the aircraft engines, calculating the emission amounts, calculating the landing and takeoff-based emissions. Findings Rather than devoting the resources disproportionally to the aviation sector within the scope of economic globalization, as a policy recommendation, to realize its production potential, Igdir, which has a great agricultural production capacity, considering its microclimate, fertile soil and arable land, should be urgently integrated into neighboring markets and the national market via railways. Practical implications It is inferred from the research that Turkey has to consider implementing the emissions tax policy, while the Turkish aviation sector is to realize new regulations for aircraft-engine matching to take public health and the impacts of the airports on their surroundings into consideration more seriously. Originality/value This study is an original one, as it puts the increasing pollution caused by the aircraft into a historical and political-economic perspective. Also, it is an example of an interdisciplinary work that combines environmental science and political science.

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Global research on air pollution between 2005 and 2014: a bibliometric study

Collection Building ◽

10.1108/cb-05-2016-0008 ◽

2016 ◽

Vol 35 (3) ◽

pp. 84-92 ◽

Cited By ~ 10

Author(s):

Shankar Reddy Kolle ◽

Shankarappa H. Thyavanahalli

Keyword(s):

Air Pollution ◽

Core Collection ◽

Environmental Science ◽

Web Of Science ◽

Atmospheric Environment ◽

Content Type ◽

Management Association ◽

Effective Decision Making ◽

New Research ◽

Number Of Citations

Purpose The purpose of this paper is to analyze research works on air pollution published in 2005-2014 and indexed in Web of Science Core Collection. Design/methodology/approach The data of research publications on “air pollution” from the Web of Science Core Collection database were collected with following search strategy: publications with terms “Air contaminat*”, “Air pollut*”, “pollut* air” or “contaminat* air” in their titles for the period of 2005-2014 were collected. A total of 4,424 articles were published on air pollution during the period of 2005-2014, and the data were used for creation of database in Microsoft Excel for the analysis purpose. Bibliometric analysis techniques were applied wherever necessary. Findings Out of 4,424 articles published on air pollution in different languages, 4,276 articles were in English. The years 2013 and 2014 showed rapid increase in number of articles published, 563 and 638, respectively. The increased number of articles resulted in an increase in number of pages published and references cited in the articles. The articles published in the year 2006 had received more number of citations (12,318), and the average citation per article for the period was 17.59. Environmental Science was the major Web of Science subject category under which a greater number of articles were published. Article entitled as “Health effects of fine particulate air pollution: Lines that connect”, published in Journal of The Air & Waste Management Association by Pope and Dockery (2006), was the highest cited article (1,743) for the period, and the top most active journals that published huge number of articles were Atmospheric Environment and Environmental Health Perspective, with 11.79 per cent of the total articles (4,424) published. Research limitations/implications The findings of the study are limited to the journals covered under Web of Science Core Collection database and articles having the following keywords in their titles: “Air contaminat*”, “Air pollut*”, “pollut* air” or “contaminat* air”. Originality/value This study would be useful to researchers and policy makers to get an insight into the research trends of air pollution for effective decision-making and formulation of new research proposals.

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An improved, practical, computerized atmospheric dispersion model for calculating urban air pollution concentrations

10.2514/6.1977-74 ◽

1977 ◽

Author(s):

D. CHOU ◽

J.-Y. SUNG

Keyword(s):

Air Pollution ◽

Dispersion Model ◽

Urban Air Pollution ◽

Atmospheric Dispersion ◽

Urban Air ◽

Atmospheric Dispersion Model ◽

Pollution Concentrations

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An Urban Air Pollution Early Warning System Based on PM2.5 Prediction Applied in Ploiesti City

Revista de Chimie ◽

10.37358/rc.17.4.5566 ◽

2017 ◽

Vol 68 (4) ◽

pp. 858-863

Author(s):

Mihaela Oprea ◽

Marius Olteanu ◽

Radu Teodor Ianache

Keyword(s):

Air Pollution ◽

Early Warning ◽

Urban Areas ◽

Early Warning System ◽

Urban Air Pollution ◽

Warning System ◽

Air Pollutant ◽

Pollution Level ◽

Urban Air ◽

Prediction Approach

Fine particulate matter with a diameter less than 2.5 �m (i.e. PM2.5) is an air pollutant of special concern for urban areas due to its potential significant negative effects on human health, especially on children and elderly people. In order to reduce these effects, new tools based on PM2.5 monitoring infrastructures tailored to specific urban regions are needed by the local and regional environmental management systems for the provision of an expert support to decision makers in air quality planning for cities and also, to inform in real time the vulnerable population when PM2.5 related air pollution episodes occur. The paper focuses on urban air pollution early warning based on PM2.5 prediction. It describes the methodology used, the prediction approach, and the experimental system developed under the ROKIDAIR project for the analysis of PM2.5 air pollution level, health impact assessment and early warning of sensitive people in the Ploiesti city. The PM2.5 concentration evolution prediction is correlated with PM2.5 air pollution and health effects analysis, and the final result is processed by the ROKIDAIR Early Warning System (EWS) and sent as a message to the affected population via email or SMS. ROKIDAIR EWS is included in the ROKIDAIR decision support system.

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