A holistic approach to the air quality of Konya City, Turkey

Tayanç, Mete; Sezen, Îsmail; Ünal, Alper; Flores, Rosa M.; Karanfil, Salih

doi:10.1007/s11869-022-01200-4

Cited by 5 publications

(3 citation statements)

References 16 publications

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“…Yakın & Behçet (2019) prepared an emission inventory of traffic-related air pollutants in Van province and Öztürk & Bayram (2019) presented a detailed investigation of Van provinces air pollutant levels, preferred fuels, and descriptive statistics considering them. In a study by Tayanç et al (2022), air pollutants are evaluated on a daily, monthly, seasonal, and annual time scale in which they investigated the mechanisms that influence low air quality by using air pollutants data from Konya, Türkiye.…”

Section: Literaturementioning

confidence: 99%

Application of Statistical Distributions to PM10 Concentrations: Van, Türkiye

Bagci

2023

Yüzüncü Yıl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi

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Air pollution is one of the most serious environmental pollution problems that adversely affect human health and the environment. Industrializing and frequent use of low-quality coals for heating purposes and incorrect combustion techniques may cause intense air pollution in the winter season. There are several studies on air quality employing different methods using various air pollutants (carbon monoxide, nitrogen oxides, ground-level ozone, and particle pollution) in the related literature. In this study PM_10 (concentration of 10 micrometers or smaller size of air pollutants) levels in Van province which is one of the most crowded provinces in Eastern Anatolia, Türkiye. Due to the fuels used for heating in Van, the air quality may be higher than limits set by regulations several times during the year. In this study, PM_10 levels of Van are modeled using lognormal, Weibull, and Gamma distributions. Information and goodness of fit criteria are used to compare their performance. In addition, predictions of exceedances are provided for the PM_10 concentration higher than given limits. According to the results, the Gamma distribution performed better than the other two distributions in modeling the PM_10 concentrations in Van and predicted the exceedances accurately.

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Section: Literaturementioning

confidence: 99%

Application of Statistical Distributions to PM10 Concentrations: Van, Türkiye

Bagci

2023

Yüzüncü Yıl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi

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“…The regional assessment of air quality in different regions of Türkiye, determination of air quality indices, and evaluation of major air pollutants and their interactions have been the focus of many studies and have provided comprehensive information on the spatial and temporal variations of air pollutants in Türkiye [9][10][11]. Studies examining air pollution in Türkiye, such as those conducted by Tayanç et al (2022) [12] and Akan A. (2022) [13], have evaluated the air quality of cities such as Konya and Zonguldak.…”

Section: Introductionmentioning

confidence: 99%

Unveiling the Air Quality Impacts of Municipal Solid Waste Disposal: An Integrative Study of On-Site Measurements and Community Perceptions

Pekdogan,

Yildizhan,

Ameen

2024

Atmosphere

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This study examines air quality conditions in and around a classroom located in the Sarıçam/Adana region of Türkiye, near the campus of Adana Alparslan Türkeş Science and Technology University and the Sofulu municipal solid waste (MSW) facility. This academic setting was strategically chosen due to its proximity to the waste facility. The study aims to provide a comprehensive view of the environmental and social impacts of solid waste management through a methodological approach that combines quantitative on-site measurements and qualitative survey studies. Findings from measurements and surveys underline the significant and measurable impacts of MSW facilities on the ambient air quality of university residents. The analysis revealed a marked increase in concentrations of key pollutants, including carbon monoxide (CO), hydrogen sulfide (H2S), dust, and methane (CH4). At sampling point N1, H2S levels rose from 0 ppm in July to 13 ppm in November. Methane increased from 0.2% to 2.5% of the Lower Explosive Limit (LEL) at the same point, although it remained within safety limits. Additionally, CO levels showed a 40% increase, and dust concentration levels rose from 0.21 mg/m3 to 2.36 mg/m3 from summer to winter, indicating a seasonal variation likely influenced by the landfill’s operational dynamics, as well as changes in temperature and relative humidity. In particular, the results indicate high concentrations of CO, H2S and dust, which are directly related to air quality degradation. The study also sheds light on the impacts of these waste disposal facilities on the general well-being and health of the university community, particularly on students and staff. In addition to these findings, the study highlights a general lack of awareness in the university community about the impacts of MSW facilities on air quality. This highlights the need for increased education and information dissemination. The results support the development of comprehensive and effective strategies, including technical solutions and public awareness initiatives, to mitigate the impacts of these facilities on residential areas. In conclusion, the impacts of MSW facilities on air quality should be seen as a multidimensional issue that requires a holistic approach addressing environmental, health, social, and educational dimensions.

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“…Many AQ studies have been conducted in Istanbul, the province with the densest population in Türkiye (Ozdemir, 2014(Ozdemir, , 2019Flores et al, 2020;Efe et al, 2022), and relatively fewer studies are available for other cities of Türkiye. Tayanc et al (2022) statistically analysed the temporal and spatial variability of hourly CO, NO 2 , NO x , PM 10 , PM 2.5 , and SO 2 measured at ve different stations in Konya province between 2008 and 2018. They found that the pollutant with the highest value in Konya was particulate matter.…”

Section: Introductionmentioning

confidence: 99%

An Urban Air Quality Assessment Based on a Meteorological Perspective

Kaya

Özdemir

Çapraz

et al. 2023

Preprint

Self Cite

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An integrated approach to understanding all measured pollutants with multi-discipline in different time scales and understanding the mechanisms hidden under low Air Quality conditions are essential for tackling potential air pollution issues. Sivas is a province located in the Eastern region of Türkiye with a developing industry and a growing population, and its climate is known as arid and cold. Since the end of 2016, the province has started to replace the habit of using coal for domestic heating and industry with natural gas. Despite this development, especially in Fine Particulate Matter (PM2.5), the province reaches very high pollution values every winter, threatening public health. In this study, the air pollution of Sivas province was analysed with meteorological and PM2.5 data over six years. It was found that the winter period (January-February-November-December) of every year except 2019 -which has missing data- is the period with the highest air pollution in the province. In addition, the fact that the days exceeding the daily PM2.5 limit values in 2016, 2017, 2020 and 2021 were also seen in the spring and summer months caused the study to focus on additional emission sources such as long-range dust transport and road vehicles. The year 2017, which has the highest values, was analysed in detail. Pollution periods with the highest episodes in 2018 were analysed with the HYSPLIT and DREAM models. As a result of the study, the average PM2.5 values in 2017 were found to be 31.66 ± 19.2 µg/m3 and a correlation of -0.49 between temperature and PM2.5. As a result of model outputs, it was observed that the inversion is intensely observed in the province, which is associated with an increase of PM2.5 during the episodes. Especially on days with daily average PM2.5 values above 100 µg/m3, dust transport from the Arabian Peninsula is observed. Additionally, analysis of Planetary Boundary Layer (PBL) data and PM pollution revealed a significant negative correlation (r=-0.61). It was noted that pollution persisted over the province during low PBL hours, particularly during high PM2.5 concentration periods.

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A holistic approach to the air quality of Konya City, Turkey

Cited by 5 publications

References 16 publications

Application of Statistical Distributions to PM10 Concentrations: Van, Türkiye

Application of Statistical Distributions to PM10 Concentrations: Van, Türkiye

Unveiling the Air Quality Impacts of Municipal Solid Waste Disposal: An Integrative Study of On-Site Measurements and Community Perceptions

An Urban Air Quality Assessment Based on a Meteorological Perspective

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