The influence of meteorological conditions and atmospheric circulation types on PM10 levels in western Turkey

Baltaci, Hakki; Akkoyunlu, Bulent Oktay; Arslan, Hilal; Yetemen, Ömer; Özdemir, Emrah Tuncay

doi:10.1007/s10661-019-7609-7

Cited by 26 publications

(14 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Together with this objective approach, numerous studies investigating the impacts of CTs on precipitation (Fernandez‐Raga et al ., 2017; Putnikovic and Tosic, 2018), temperature (Pena‐Angulo et al ., 2016), and air pollution parameters (Demuzere et al ., 2009; Russo et al ., 2014; Giaccone et al ., 2019) were made for the continental Europe countries. This synoptic classification technique was also used for some parts of Turkey to indicate the changes in precipitation and PM 10 for the defined region of Turkey (Baltacı et al ., 2015; Baltacı et al ., 2017; Akkoyunlu et al ., 2019; Baltaci et al ., 2019).…”

Section: Methodsmentioning

confidence: 99%

Climatological conditions of the Black Sea‐effect snowfall events in Istanbul, Turkey

Baltaci

Silva

Gomes

2020

Intl Journal of Climatology

Self Cite

View full text Add to dashboard Cite

A climatological analysis and overlying synoptic conditions of Black Sea‐effect snowfall events were investigated for Istanbul, Turkey, during the 1971–2006 winter (DJF) periods. Using the synoptic climatological approach, the Lamb Weather Type (LWT) method was applied to NCEP/NCAR daily mean sea level pressure data. Basically, northwesterly (NW), northerly (N), and northeasterly (NE) circulation types (CTs), which blow from the Black Sea (BS), were thought to be important for sea‐effect snowfall events to occur. Wind speeds and flows at 850‐hPa, directional shear, and temperature difference between sea surface and 850‐hPa level (SST‐T850) thresholds were applied to these three CTs in order to find suitable snowfall cases originating from the Black‐Sea. The results showed that 4, 14, and 111 snowfall episodes occurred during NW, N, and NE circulation types over Istanbul with the 2.8, 4.1, and 3.5 cm daily mean snow cover depths (DMSCD), respectively. In particular, it was found that interaction between a surface high located over continental Europe and a low pressure located over the central Black Sea, and a relatively warm sea surface temperature (SST), and cold temperature anomaly at the low level of the atmosphere (SST‐T850 > 17°C) are a favourable environment for the development of intense Black Sea‐effect snowstorms (DMSCD > 10 cm) sourced by NE cases. A statistically significant positive relation between snow cover depths and SST‐Tmax (daily maximum temperature) under NE cases (r = 0.28, p < .05) indicated that we observe intense daily snow accumulation when land‐sea temperature contrast increases (>7°C) in the region.

show abstract

Section: Methodsmentioning

confidence: 99%

Climatological conditions of the Black Sea‐effect snowfall events in Istanbul, Turkey

Baltaci

Silva

Gomes

2020

Intl Journal of Climatology

Self Cite

View full text Add to dashboard Cite

show abstract

“…The role of meteorological conditions in the atmospheric processes of dilution, transformation, transport and removal of pollutants has been widely studied in recent years (e.g. Baltaci et al, 2019;Gvozdić et al, 2011;Kuzu and Saral, 2017). The concentration of pollutants in the atmosphere is also linked to the occurrence of specific weather features (including wind speed and direction) induced by mesoscale processes (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…The concentration of pollutants in the atmosphere is also linked to the occurrence of specific weather features (including wind speed and direction) induced by mesoscale processes (e.g. Baltaci et al, 2019;Calvo et al, 2012;Kwok et al, 2017;Russo et al, 2014;Weissert et al, 2018), which are specific to a given region. Thus, the weather types and the origin of air masses provide valuable information on the influence of polluting sources at a given study area (Calvo et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Characterization of aerosol sources in León (Spain) using Positive Matrix Factorization and weather types

Oduber

Calvo

Castro

et al. 2021

Science of The Total Environment

View full text Add to dashboard Cite

A one-year aerosol sampling period was conducted in León (Spain) to label the sources.• The PMF found 6 main aerosol contributors, from traffic (29%) to biomass burning (3%). • A linear model estimates each source supply to PM 10 from tracer elements and airflows. • PMF analysis along with circulation weather types provide a good estimation for PM 10 . • MLR models built offer a simplification for determining source apportionment.

show abstract

“…Due to its geographical proximity to the dust source area, Turkey, located on the transit routes in the Eastern Mediterranean Basin (MB), is affected by dust storm events originating from both the Sahara and Arabian. Several studies have focused on the transport mechanisms of Saharan dust particles and associated variations in PM concentrations (Koçak et al 2007;Kabatas et al 2014;Agacayak et al 2015;Baltaci et al 2019Baltaci et al , 2020a, visibility conditions (Baltaci 2017), health impacts (Çapraz et al 2017;Baltaci et al 2020a, b), and changes in microorganisms (Griffin et al 2007). Researchers have generally used synoptic, in situ, modeling, and remote sensing data to better understand the atmospheric circulations resulting in high PM concentrations from the Sahara.…”

Section: Introductionmentioning

confidence: 99%

“…Researchers have generally used synoptic, in situ, modeling, and remote sensing data to better understand the atmospheric circulations resulting in high PM concentrations from the Sahara. Baltaci (2017) and Baltaci et al (2019) investigated the role of the Sharav cyclone on the transport mechanism of Saharan dust particles in Turkey during the spring months. Besides the Saharan, the Arabian Desert is also an important source region that transports dust to Eastern Mediterranean (EM) Basin.…”

Section: Introductionmentioning

confidence: 99%

Characterization of atmospheric mechanisms that cause the transport of Arabian dust particles to the southeastern region of Turkey

Baltaci

Ezber

2021

Environ Sci Pollut Res

Self Cite

View full text Add to dashboard Cite

The Southeastern Anatolia Region (SEAR), the third-lowest mean annual precipitation region in Turkey, has semi-arid climate and plateau characteristics. The proximity of the region to North Africa and the Middle East dust source areas enables long-range transport of desert dust particles toward the SEAR by strong winds. Among the other dust source regions, the Arabian Peninsula has a crucial role in terms of affecting the SEAR with a high-annual frequency and high dust concentration values. We investigated the atmospheric patterns of three extreme Arabian dust episodes that affect the SEAR in this study. Dust episodes were determined using present weather (SYNOP) codes of ten stations in the SEAR during the 2014-2019 period. The source regions were found using HYSPLIT backward trajectory analysis. In this study, we benefited from synoptic maps, in situ PM 10 observations, numerical simulations of the WRF-Chem model, and MODIS satellite images to analyze the extreme dust episodes. The results showed that the surface low pressure over the Persian Gulf and strong southerly winds at the 700-hPa level enabled the transport of dust particles from the surface to the mid-atmospheric levels. If the center of the upper-level ridge extended from Saudi Arabia to southern Turkey, the atmospheric blocking mechanism prevented the dispersion of dense dust particles from the SEAR to its surrounding, which caused the observation of high dust concentrations in the SEAR. In general, the WRF-Chem model outputs are in good agreement with ground-based PM 10 concentrations and MODIS true-color images in terms of temporal and spatial distributions of dust concentrations.

show abstract

The influence of meteorological conditions and atmospheric circulation types on PM10 levels in western Turkey

Cited by 26 publications

References 41 publications

Climatological conditions of the Black Sea‐effect snowfall events in Istanbul, Turkey

Climatological conditions of the Black Sea‐effect snowfall events in Istanbul, Turkey

Characterization of aerosol sources in León (Spain) using Positive Matrix Factorization and weather types

Characterization of atmospheric mechanisms that cause the transport of Arabian dust particles to the southeastern region of Turkey

Contact Info

Product

Resources

About