Air recirculation and ventilation in the coastal regions of the Black Sea

Surkova, Galina

doi:10.2478/s13533-012-0126-7

Cited by 9 publications

(10 citation statements)

References 19 publications

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“…Therefore, only the hourly direction and speed of the wind are required, and the calculation is relatively simple. Some methods used by others [43,44] require detailed three-dimensional wind field data. Although the AW method does not accurately reflect atmospheric motion, it is still very effective when studying the horizontal diffusion of atmospheric pollutants.…”

Section: Classification Of Local Wind Fieldmentioning

confidence: 99%

The Influence of Multi-Scale Atmospheric Circulation on Severe Haze Events in Autumn and Winter in Shanghai, China

Zhao

Hailing²,

Russo

et al. 2019

Sustainability

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Severe haze events have many adverse effects on agricultural production and human activity. Haze events are often associated with specific patterns of atmospheric circulation. Therefore, studying the relationship between atmospheric circulation and haze is particularly important for early warning and forecasting of urban haze events. In order to study the relationship between multi-scale atmospheric circulation and severe haze events in autumn and winter in Shanghai, China, we used a T-mode objective classification method to classify autumn and winter atmospheric circulation patterns into six types based on sea level pressure data from 2007 to 2016 in the Shanghai area. For the period between September 2016 and February 2017, we used the Allwine–Whiteman method to classify the local wind in Shanghai into three categories: stagnation, recirculation, and ventilation. By further studying the PM2.5 concentration distribution, visibility distribution, and other meteorological characteristics of each circulation type (CT) and local wind field type, we found that the Shanghai area is most prone to severe haze when exposed to certain circulation patterns (CT1, CT2, and CT4), mainly associated to the cold air activity and the displacement of the high pressure system relative to Shanghai. We also found that the local wind fields in the Shanghai area are dominated by recirculation and stagnation events. These conclusions were further verified by studying a typical pollution process in Shanghai in November 2016 and the pollutant diffusion path using the HYSPLIT (Hybrid Single Particle Lagrangian Integrated Trajectory model) simulation model.

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Section: Classification Of Local Wind Fieldmentioning

confidence: 99%

The Influence of Multi-Scale Atmospheric Circulation on Severe Haze Events in Autumn and Winter in Shanghai, China

Zhao

Hailing²,

Russo

et al. 2019

Sustainability

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“…The variability of S and L is determined by local and large-scale factors (Surkova, 2013). If large-scale atmospheric flow dominates L is more likely to be large and therefore R small.…”

Section: Stagnation Recirculation and Ventilation Classificationmentioning

confidence: 99%

“…In their study, for sites closer to the coast, ventilation was more prevalent and stagnation for more inland sites. In the coastal regions of the Black Sea between 70 and 80% of the time could be classified into one of the flow categories (Surkova, 2013).…”

Section: Flow Characteristics Under the Classificationsmentioning

confidence: 99%

“…They identified three main types of flow conditions: (a) stagnation, where wind speeds are very low or calm allowing pollutants to build up locally; (b) recirculation, where polluted air is initially carried away from the source but later returns resulting in higher subsequent pollution concentrations; and (c) ventilation, a situation where polluted air is strongly diluted or replaced by fresh air. This technique has been used in a number of studies to assess the dispersal capabilities of the atmosphere around coastal cities and industrial areas (e.g., Levy et al, 2009;Mohan and Bhati, 2012;Surkova 2013;Al-Khadouri et al, 2015;Russo et al, 2016), as well as nuclear power sites in Korea (Kim et al, 2007) and India (Nankar et al, 2009;Kumar et al, 2013). The Allwine and Whiteman (1994) approach is an objective quantitative measure which provides a straightforward method to assess the dispersal capabilities of the airshed; furthermore, the data needs are small compared to numerical modelling (Russo et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…As a result, regulatory guidelines are often set to reduce releases of primary anthropogenic pollutants (e.g., USEPA, 2007;NSW, 2011;VES, 2012). In order to determine which sources should be targeted, fingerprint analysis techniques, such as Principle Component Analysis (PCA; Jollife, 1986), Positive Matrix Factorisation (PMF; Paatero and Tapper, 1994) or from neighbouring urban areas and, for coastal sites, can be particularly influenced by land-sea breeze recirculation (Surkova, 2013;Russo et al, 2016). Coastal recirculation has been shown to have an impact on air pollution in many parts of the world (Levy et al, 2009;and references therein).…”

Section: Introductionmentioning

confidence: 99%

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Impact of Atmospheric Flow Conditions on Fine Aerosols in Sydney, Australia

Crawford

Cohen

Griffiths

et al. 2017

Aerosol Air Qual. Res.

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We apply a simple objective measure of an airshed's degree of ventilation and determine the impact on PM 2.5 observations at Lucas Heights, Sydney, Australia. We extend the analysis of previous studies, which considered total PM 2.5 , by: using positive matrix factorisation to split the aerosol mass by source type; and using Radon-222 measurements as an independent indicator of ventilation and mixing. For this coastal airshed we found that for 64% of the time, conditions could be classified into four categories: local recirculation (LRC; 15%), stagnation (19.5%), regional recirculation (RRC; 10.9%), or ventilation (18.6%). Mean PM 2.5 concentrations under recirculation (in this study separated into; LRC and RRC) were 33% higher than under stagnation and can be double that of concentrations under ventilation. Since the combination of LRC and RRC events account for around 26% of all events, recirculation effects on PM 2.5 concentrations are significant. However, we found that airshed ventilation doesn't affect PM 2.5 concentrations from all sources evenly. Considering the three main sources of total PM 2.5 at this site (vehicle exhaust 26.3%, secondary sulfate 23.7% and aged industrial sulfur 20.6%), conditions leading to the highest concentrations differ. The highest vehicle exhaust concentrations occur under LRC, the highest aged-industrial-sulphur concentrations occur under RRC, and secondary sulfur had similarly high concentrations under LRC and RRC. Under LRC the concentration from vehicle exhaust can be up to a factor of 3.9 greater than under ventilation. On a seasonal basis, RRC flow is most likely to occur in summer and spring (the warmer months of the year when sea breezes are more likely), whereas LRC conditions are more likely to occur in autumn and winter. These findings support those of previous studies, indicating that re-circulation can have a significant effect on PM 2.5 concentrations in coastal airsheds, and the degree of impact can vary by source type.

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