Correlations on the Air Nitrogen Oxides Pollutant Concentration and Climatic Factors Variations in Bacau City

Considering the air pollution actual issues, in special for the industrial cities, in the present paper were established some correlations between NOx concentration and some climatic factors. The data were obtained from Bacau air quality monitoring stations and are related to 2011. The climatic factors analyzed were air temperature, atmospheric pressure, atmospheric humidity, solar radiation, wind speed and direction. The data interpretations reveal some direct influence of the air NOx concentration dispersion and analyzed climatic factors variation.

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Analysis of a Pollution Transmission Process in Hefei City Based on Mobile Lidar

EPJ Web of Conferences ◽

10.1051/epjconf/202023702006 ◽

2020 ◽

Vol 237 ◽

pp. 02006 ◽

Cited By ~ 1

Author(s):

Shuai Zhang ◽

Zhaoming Zhou ◽

Conglei Ye ◽

Jibing Shi ◽

Peng Wang ◽

...

Keyword(s):

Air Pollution ◽

Air Quality ◽

Quality Monitoring ◽

Air Quality Monitoring ◽

Lidar System ◽

Transmission Process ◽

A New Technique ◽

Air Quality Monitoring Stations ◽

Pollution Transmission ◽

Monitoring Stations

The air pollution has been regional in China with the development of economy. To monitoring the air pollution transmission, a new technique, mobile lidar system (GBQ-S01), was introduced. In this paper, a pollution transmission process happened on October 26th, 2017, was analyzed with the use of mobile lidar, air quality monitoring stations data, and Hysplit backward trajectories. The results showed that the polluted air mass was transferred from northeast under the force of air pressure. Under the influences of air pollution transmission and bad meteorological diffusion conditions, The PM10 quality concentrations in Hefei increased a lot within 5 hours; among all the 10 national air quality monitoring stations, the Luyang District (the northernmost one) and Changjiang Middle Road (the easternmost one) received the most serious impact with PM10 concentration reached up to 252 μg/m3 and 219 μg/m3 at 22:00 (Beijing Time).

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Air pollution impacts as indicated by roadside air quality monitoring stations

10.5353/th_b3125424 ◽

1999 ◽

Author(s):

Hin-kee Kong

Keyword(s):

Air Pollution ◽

Air Quality ◽

Quality Monitoring ◽

Air Quality Monitoring ◽

Air Pollution Impacts ◽

Pollution Impacts ◽

Air Quality Monitoring Stations ◽

Monitoring Stations

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Evaluating the Influence of Meteorological Parameters on Ozone Concentration Levels

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i3.7.16211 ◽

2018 ◽

Vol 7 (3.7) ◽

pp. 65

Author(s):

Amina Nazif ◽

Nurul Izma Mohammed ◽

Amirhossein Malakahmad ◽

Motasem S. Abualqumboz

Keyword(s):

Air Pollution ◽

Air Pollutants ◽

Stepwise Regression ◽

Meteorological Parameters ◽

Anthropogenic Activities ◽

Quality Monitoring ◽

Air Quality Monitoring ◽

Pollution Levels ◽

Air Quality Monitoring Stations ◽

Concentration Levels

Over the years, anthropogenic activities have led to the increase in air pollution concentration levels in the atmosphere, this persistent increase in pollution levels can be influenced by meteorological parameters. These parameters assist in the formation and transportation of air pollutants in the atmosphere. Hence, this study aims at evaluating the association between meteorological parameters and air pollutants. The analysis was carried out using Ozone (O3), Particulate matter (PM10), Nitrogen dioxide (NO2), temperature, humidity, wind speed, and wind direction data from 2006 to 2010, from two industrial air quality monitoring stations. Stepwise regression (SR) analysis was used to assess the influence of meteorological parameters in accounting for the variability of O3 concentration levels. The SR analysis showed that meteorological parameters accounted for more than 50 % of O3 variability. It can be concluded that different relationship between meteorological parameters and O3 can exist in different locations in the same region.

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FORMULATION OF THE DECISION-MAKING PROBLEM FOR MANAGEMENT OF MOBILE AIR QUALITY MONITORING STATIONS

Engineering and Construction Bulletin of the Caspian Region ◽

10.52684/2312-3702-2021-36-2-28-33 ◽

2021 ◽

Vol 112 ◽

pp. 28-33

Author(s):

N.M. Rashevskiy ◽

◽

N.V. Sadovnikova ◽

Т.V. Yereshchenko ◽

M.A. Кulikov

Keyword(s):

Decision Making ◽

Air Pollution ◽

Air Quality ◽

Mutual Influence ◽

Quality Monitoring ◽

Natural Environments ◽

Air Quality Monitoring ◽

Atmospheric Air ◽

Decision Making Problem ◽

Air Quality Monitoring Stations

The problems of air pollution and air quality monitoring are considered. The study is aimed at substantiating the method of forming a plan for observing atmospheric air pollution using mobile laboratories. A feature of the proposed method is the use of a decision support system for the rational arrangement and operation of laboratories. combined sanitary and hygienic criterion selected to assess of pollution is calculated. The quantitative characteristics of land plots for different urban planning zones are estimated. The implementation of the decision-making problem using the network analysis method is considered. In the course of the study, the parameters of the urban and natural environments that affect the assessment of the atmospheric air quality were studied, a network structure of the mutual influence of these parameters was formed.

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Influences of Season and Geography on Urban Air Quality Monitoring Stations (AQMS) Representativeness Areas by High Resolution Air Quality Monitoring

10.5194/egusphere-egu2020-13652 ◽

2020 ◽

Author(s):

Tilman Leo Hohenberger

Keyword(s):

Air Pollution ◽

Hong Kong ◽

Air Quality ◽

High Resolution ◽

Urban Air Pollution ◽

Quality Monitoring ◽

Urban Air ◽

Air Quality Monitoring ◽

Air Quality Monitoring Stations ◽

Better Than

Urban air pollution remains a key pressure on public health. With the megatrend of urbanization and its forcing on emissions and exposure, effective monitoring tools in cities are at the center of prevention efforts.Air Quality Monitoring Stations (AQMS) are traditionally used for regulatory efforts and, increasingly, as publicly available information sources. Facing high levels of air pollution heterogeneity in complex urban environments, a simple spatial approach is often misleading when choosing an AQMS that represents local street-level conditions the best. Model-based calculation of representativeness areas are rare for the urban scale (e.g. Rodriguez et al., 2019), and suffer from short model times, low model correlations and a lack of external validation by observation data. Moreover, as both health impacts and air-pollution episodes are influenced by environmental factors, the sensitivity of representativeness areas to wind impacts and during different seasons are a further point of interest not covered well by previous literature.For the high-density environment of geographically complex Hong Kong, we used a full year (2019) of high-resolution air quality modelling (ADMS-Urban) data to establish representativeness areas for the territory&#8217;s 16 AQMS. We constructed representativeness areas for key air-pollutants for the full period and based on season and wind speed. We parameterized the effects of wind and geography on the size and shape of the representativeness areas. Furthermore, we validated our findings by a series of week-long outdoor measurements aimed to cover the whole territory of Hong Kong.Our results show that Hong Kong&#8217;s AQMS network covering the territory well for a PM2.5, PM10 and O3, where the mean CSF (hourly Concentration Similarity Frequency with a target of &#177;20%) of each grid-cell to the best matching AQMS lies at around 60%. Both NO2 and SO2 are less well represented, with a CSF of around 30%. Moreover, we show that representativeness areas calculated from similarity-based metrices as CSF and percentage difference represent the impact of geographical features on pollution dispersion better than correlation-based metrices (R2 and ioa). It was further found that AQMS represent upwind areas better than downwind areas, especially in areas exposed to open wind-flow, and that the represented areas change strongly over the course of a year.In this study, we showcase the ability of high-resolution urban air-pollution modelling to guide the public with information on AQMS representativeness. Furthermore, we report that representativeness areas are non-static, changing with seasons and under the influence of wind. High-resolution urban modelling can further be used to gauge the quality of AQMS networks and assess the need and location of additions to an existing network.&#160;Rodriguez, D., Valari, M., Payan, S., & Eymard, L. (2019). On the spatial representativeness of NOX and PM10 monitoring-sites in Paris, France. Atmospheric Environment: X, 1, 100010.

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Spatiotemporal variability patterns of PM2.5 in severe pollution events based on a large dataset from air quality monitoring stations over South Korea

10.5194/egusphere-egu2020-19493 ◽

2020 ◽

Author(s):

Subin Han ◽

Yongmi Park ◽

Wonsik Choi

Keyword(s):

Air Pollution ◽

Air Quality ◽

Time Lag ◽

Quality Monitoring ◽

Air Quality Monitoring ◽

Reference Area ◽

Synoptic Weather ◽

Coefficient Of Divergence ◽

Air Quality Monitoring Stations ◽

Pollution Events

East Asia has suffered from severe air pollution, particularly concerning particulate matter less than 2.5 &#181;m in diameter (PM2.5). Although air quality in Korea has been gradually improved with respect to annual mean PM2.5 and PM10 concentrations, high PM pollution events have been worse in their peak concentrations and durations.In this study, we attempted to find statistically how the characteristics of PM2.5 pollution over Korea have changed with a focus on temporal and spatial variations. Hourly PM2.5 concentration data were obtained from 374 air quality monitoring stations (AQMS) throughout the country from January 2015 to June 2019. With obtained air quality data, we selected high PM pollution periods based on the national air pollution standard, and examined how the magnitudes and durations of high PM pollution events, as well as the background concentrations, have changed since 2015 over Korea. Additionally, we applied the time-lag correlation method to see how the onsets of PM2.5 pollution events differ in space and how high PM2.5 spread out in time. We also applied the coefficient of divergence (COD) to countrywide datasets of PM2.5 as a measure of spatial heterogeneity of PM2.5 distributions.Although annual mean concentrations of PM2.5 tend to decline from 2015 to 2018, the peak concentrations and durations for severe PM2.5 pollution events tend to increase in most regions of Korea for the periods of January to April. We also categorized the characteristic distribution patterns in severe PM events combining the time-lag correlation and COD results. In most pollution events, the time-lag distributions showed clear delay patterns of pollution events from the reference area (Seoul). Additionally, COD results showed a clear heterogeneity of PM2.5 distributions as the distance from the reference area increases along the time-lag. Although spatial correlations and COD results of PM2.5 concentrations between the reference area and other regions indicated heterogeneous distributions, time-lag corrected COD values imply that PM2.5 over much wider regions of Korea are homogeneously distributed in both magnitudes and temporal variations. The R2 values were significantly improved after time-lag correction. These results imply that high PM2.5 events are significantly affected by synoptic weather conditions over most regions of Korea; thus, potential modification of synoptic weather patterns in East Asia caused by climate change can be an important factor for variations in high PM2.5 pollution events.Keywords: coefficient of divergence (COD), PM2.5 pollution events, spatial heterogeneity of PM distributions, pattern analysis.

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Layout Methods of Monitoring Stations for Diesel Freight Trucks Emission Supervision Using Highway Traffic Survey Data—— Taking Shanxi Province as an Example

E3S Web of Conferences ◽

10.1051/e3sconf/202014502026 ◽

2020 ◽

Vol 145 ◽

pp. 02026

Author(s):

Rui Wu ◽

Honglei Xu ◽

Jie Liu ◽

Xiaowen Yang ◽

Xiaoyu Tan ◽

...

Keyword(s):

Remote Sensing ◽

Air Pollution ◽

Air Quality ◽

Survey Data ◽

Quality Monitoring ◽

Shanxi Province ◽

Air Quality Monitoring ◽

Road Inspection ◽

Air Quality Monitoring Stations ◽

Monitoring Stations

The in-use diesel trucks have high use intensity, high mobility, and frequent excessive emissions, which have become one of the important air pollution sources. The Action Plan for Tackling the Challenges of Diesel Truck Pollution Control issued by the Chinese government requires the establishment of a national monitoring network for transport-related air pollution and the use of various means to monitor diesel truck emissions. This study briefly summarized the requirements for diesel truck emission monitoring and supervision. Relying on the highway network traffic survey data, a method for identifying the main route of regional highway freight transportation was proposed. Then referring to the experience of highway air quality monitoring networks at home and abroad, the article proposed layout methods for roadside air quality monitoring stations, vehicle remote sensing monitoring stations, and road inspection stations, which fills the gap in domestic methods. At last, a demonstration study on the layout plan for the in-use diesel truck emissions monitoring stations in Shanxi Province was carried out. Taking Shanxi’s main highway freight corridors as the key supervision area, this article screened out 44 roadside air quality monitoring stations, 24 vehicle remote sensing monitoring stations, and 15 road inspection stations.

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The Air Microelemental Pollution and Trees Health Status. A Case Study: Quantification of Air Pollution with Pb, Using Trees as Bioindicators

Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca Agriculture ◽

10.15835/buasvmcn-agr:8751 ◽

2012 ◽

Vol 69 (2) ◽

Author(s):

Ioan Gheorghe OROIAN ◽

Oana VIMAN ◽

Tania MIHAIESCU ◽

Antonia ODAGIU ◽

Laura PAULETTE

Keyword(s):

Air Pollution ◽

Air Quality ◽

Urban Areas ◽

Lead Concentration ◽

Quality Monitoring ◽

Air Quality Monitoring ◽

Environmental Air ◽

Air Quality Monitoring Stations ◽

Vegetal Tissue

The identification of the urban areas where bigger air pollutants generally, and metallic pollutants, particularly, concentrations compared to limit allowed maximum concentration are recorded are important in elaboration and implementation of the plans and programmes of air quality management, but also for permanent updating of these and their alignment to the continuous realit y changes. In this context, we emphasize the importance of using the tree planted in urban areas, as bioindicators for identification of air pollution with heavy metalsÂ ( Cu, Pb, Cd, Zn, etc. ) , their tendency to accumulate in vegetal material, leaves, and/or needles, respectively, being well known. In majority of cases, the heavy metals environmental air pollution leads to lesions of the vegetal tissue of the trees, mainly in leaves. The research aims to identify the lead pollution by using, as bioindicators, the trees planted in neighbourhood of the stations of air quality monitoring in Cluj - Napoca town. The research objectives consist in identification of the trees as possible biomonitoring agents and quantification of lead accumulation in trees leaves, with the aim of identification the areas where the lead concentration in leaves is superior to the limit lead maximum allowed concentration. The study was developed in Cluj - Napoca, and samples were harvested from trees located in areas from neighbourhood of the air quality monitoring stations respectively: CLU-1Â ( Aurel Vlaicu St. ) , CLU-2Â ( Centre - area from neighbourhood of Nicolae Balcescu College ) , CLU-3Â ( 1 Decembrie 1918 Boulevard) , and CLU-4Â ( area around Expo Transilvania ) .

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A short review on different techniques used for site selection of air quality monitoring stations

Journal of Industrial Engineering and Decision Making ◽

10.31181/jiedm200201026h ◽

2021 ◽

Vol 2 (1) ◽

pp. 27-30

Author(s):

Hemanth Kollati ◽

◽

Animesh Debnath ◽

Keyword(s):

Air Pollution ◽

Air Quality ◽

Site Selection ◽

Quality Index ◽

Air Quality Index ◽

Quality Monitoring ◽

Air Quality Monitoring ◽

Air Quality Monitoring Stations ◽

Selection Of ◽

Monitoring Stations

Air pollution has become a serious concern across the world in the last few decades. In specific cities, the air quality index value had changed from very unhealthy to a hazardous level of health concern. Air pollution has a serious impact on daily lives in those cities. Monitoring of air pollution is becoming necessary these days. Air quality monitoring stations are installed to get the air pollution data, which indicates in the air quality index (AQI) value. In order to contain a proper air quality index (AQI) value, it is essential to locate the air quality monitoring stations in the appropriate place of the study area. Several techniques were being used for site selection of air quality monitoring stations for the last few decades. In this short review, all such techniques have been studied systematically, and comprehensive analysis has been reported for further use by the scientific community and policymakers. In this study, the methods used in the site selection of air quality monitoring stations were categorized into four groups. (1) Multi-Criteria Decision Making (MCDM) techniques; (2) Geographical Information System (GIS); (3) hybrid techniques; and (4) miscellaneous. In the site selection of air quality monitoring stations, the decision-makers should consider various parameters based on the study area. While considering various parameters, the problem solving becomes complex. At this point, MCDM techniques, GIS, and Hybrid techniques are found to be helpful tools for the decision-makers.

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