Impact of Urbanization on Local Air Quality: Differences in Urban and Rural Areas of Balikesir, Turkey

Tecer, Lokman Hakan; Tağil, Şermin

doi:10.1002/clen.201200640

Cited by 17 publications

(11 citation statements)

References 45 publications

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“…As a result, land use patterns and changes create tremendous stress on the local, regional and global environment [4][5][6][7][8][9]. One of the most essential environmental results of urbanization is the deterioration of air quality [10][11][12][13]. Actually, air pollution has been the shared challenge for megacities or metropolitan regions across the world, especially in developing countries such as China [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Examining the Impacts of Land Use on Air Quality from a Spatio-Temporal Perspective in Wuhan, China

Jiao

Zhao

et al. 2016

Atmosphere

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Air pollution is one of the key environmental problems associated with urbanization and land use. Taking Wuhan city, Central China, as a case example, we explore the quantitative relationship between land use (built-up land, water bodies, and vegetation) and air quality (SO 2 , NO 2 , and PM 10 ) based on nine ground-level monitoring sites from a long-term spatio-temporal perspective in 2007-2014. Five buffers with radiuses from 0.5 to 4 km are created at each site in geographical information system (GIS) and areas of land use categories within different buffers at each site are calculated. Socio-economic development, energy use, traffic emission, industrial emission, and meteorological condition are taken into consideration to control the influences of those factors on air quality. Results of bivariate correlation analysis between land use variables and annual average concentrations of air pollutants indicate that land use categories have discriminatory effects on different air pollutants, whether for the direction of correlation, the magnitude of correlation or the spatial scale effect of correlation. Stepwise linear regressions are used to quantitatively model their relationships and the results reveal that land use significantly influence air quality. Built-up land with one standard deviation growth will cause 2% increases in NO 2 concentration while vegetation will cause 5% decreases. The increases of water bodies with one standard deviation are associated with 3%-6% decreases of SO 2 or PM 10 concentration, which is comparable to the mitigation effect of meteorology factor such as precipitation. Land use strategies should be paid much more attention while making air pollution reduction policies.

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Section: Introductionmentioning

confidence: 99%

Examining the Impacts of Land Use on Air Quality from a Spatio-Temporal Perspective in Wuhan, China

Jiao

Zhao

et al. 2016

Atmosphere

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“…The rapid growth in road traffic and urban populations has led to the rise in quantity of pollutants. However, worsening of the conditions related with air pollution in urban areas also causes a decrease on the health conditions and welfare of the residents together with the ecosystems lived around [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

“…Generally, studies on air pollution are carried out with the data collected from continuous monitoring stations in urban areas [4,7]. Although this approach is widely used, many research on air pollution has shown signs of the existence variability between intra urban areas and areas of street scale, which may be important for air quality indicators [8] and therefore does not represent environmental exposure.…”

Section: Introductionmentioning

confidence: 99%

“…Providing new ways of analysis in spatial distributions and patterns of air pollution concentrations regarding space has been possible with Geographical Information Systems (GIS) and geo-statistics [4]. According to literature, research on air pollution is generally brought about by methods of distance-weighting [11,12] and kriging [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

“…Spatial autocorrelation is all about observations; as it is also defined as the observation by spatial adhesion. In cluster identification, there are some methods that has gained importance after the localization of global solutions on spatial auto-correlation; one of the important one of them is the use of spatial data analysis [4]. Local Getis-Ord is one of these solutions together with Moran's Indicators [19].…”

Section: Introductionmentioning

confidence: 99%

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Spatial Distribution of BTEX and Inorganic Pollutants During Summer Season in Yalova, Turkey

Tecer

Tağil

Ulukaya³

et al. 2017

Ecological Chemistry and Engineering S

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Abstract:The objective of this research is to determine the atmospheric concentrations and spatial distribution of benzene (B), toluene (T), ethylbenzene (E) and xylenes (X) (BTEX) and inorganic air pollutants (O3, NO2 and SO2) in the Yalova atmosphere during summer 2015. In this study, a combination of passive sampling and Geographical Information System-based geo-statistics are used with spatial statistics of autocorrelation to characterise the spatial pattern of the quality of air based on concentrations of these pollutants in Yalova. The spatial temporal variations of pollutants in the air with five types of land-use, residence, rural, highway, side road and industrial areas were investigated at 40 stations in Yalova between 7 th August 2015 and 26 th August 2015 using passive sampling. An inverse distance weighting interpolation technique was used to estimate variables at an unmeasured location from observed values at nearby locations. The spatial autocorrelation of air pollutants in the city was investigated using the statistical methods of Moran's I in addition to the Getis Ord Gi. During the summer, highway and industrial sites had higher levels of BTEX then rural areas. The average concentration of toluene was measured to be 5.83 µg/m 3 and this is the highest pollutant concentration. Average concentrations of NO2, O3 and SO2 are 35.64, 84.23 and 3.95 µg/m 3 , respectively. According to the global results of Moran's I; NO2 and BTEX had positive correlations on a global space at a significant rate. Moreover, the autocorrelation analysis on the local space demonstrated significant hot spots on industrial sites and along the main roads.

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Average Hourly Concentrations of Air Contaminants in Selected Urban, Town, and Rural Sites

Cichowicz

Stelęgowski

2019

Arch Environ Contam Toxicol

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The inhabitants of cities, towns, and villages are exposed to different levels of air pollution, which also vary throughout the day. Information regarding episodes of poor and good air quality enables planning to mitigate the risks and maximize the benefits of spending time outdoors. In this work, an analysis was made of the state of air quality 2012–2016, using data gathered from automatic measuring stations located in five cities (> 50,000 inhabitants), five towns (5000–50,000 inhabitants), and five villages (< 5000 inhabitants) in five neighboring provinces in central Poland, in Central Europe. The monitoring stations were designated as “city background”, “town background”, and “rural background”. More than 3 million pieces of data were collected from 15 monitoring stations. This allowed the average daily changes in the concentration of air pollutants (NO 2 and NO x , O 3 , SO 2 , CO, PM 10 , PM 2.5 , C 6 H 6 ) to be determined, depending on the type of station and the size of the settlement unit in both winter periods and summer periods. As a result, the most and least favorable hours in terms of levels of air pollution were identified. This information could help to inform air quality management in modern cities, towns, and villages and to improve the quality of life, particularly among those most susceptible to the negative effects of air pollution, such as the elderly and children. Graphical Abstract

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Impact of Urbanization on Local Air Quality: Differences in Urban and Rural Areas of Balikesir, Turkey

Cited by 17 publications

References 45 publications

Examining the Impacts of Land Use on Air Quality from a Spatio-Temporal Perspective in Wuhan, China

Examining the Impacts of Land Use on Air Quality from a Spatio-Temporal Perspective in Wuhan, China

Spatial Distribution of BTEX and Inorganic Pollutants During Summer Season in Yalova, Turkey

Average Hourly Concentrations of Air Contaminants in Selected Urban, Town, and Rural Sites

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