scholarly journals Ambient BTEX Concentrations during the COVID-19 Lockdown in a Peri-Urban Environment (Orléans, France)

Atmosphere ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 10
Author(s):  
Min Cai ◽  
Yangang Ren ◽  
Rodrigo G. Gibilisco ◽  
Benoit Grosselin ◽  
Max R. McGillen ◽  
...  
Keyword(s):  
City Planning ◽  
Meteorological Parameters ◽  
Anthropogenic Activities ◽  
Mitigation Strategies ◽  
Quality Monitoring ◽  
Anthropogenic Activity ◽  
Air Quality Monitoring ◽  
Pollution Levels ◽  
Benzene Toluene ◽  
Urban Sites

During the period from 17 March to 10 May 2020, France saw dramatic shifts in domestic, industrial and transport activities as a national lockdown was introduced. So far, studies have generally focused on urban settings, by contrast, this work reports data for a peri-urban location. Air samples were collected and analyzed using a fully automated GC-MS-FID system in an air quality monitoring station situated in the suburbs of Orléans, France. Average concentrations of BTEX (benzene, toluene, ethylbenzene, and xylenes) before, during, and after lockdown, were 402 ± 143, 800 ± 378 and 851 ± 445 pptv, respectively. Diurnal variation in BTEX and correlations between each of its components were analyzed to determine its various sources. The toluene/benzene (T/B) and m,p-xylene/ethylbenzene (MP/E) ratios, photochemical ages were used to explore whether the BTEX were from local or more distant sources. Together with a host of complementary measurements including NOx, O3, black carbon, meteorological parameters, and anthropogenic activities, we were able to make some inferences on the sources of BTEX. The results suggest that although anomalous local anthropogenic activity can lead to significant changes in BTEX concentrations, pollution levels in Orléans are mostly dependent on meteorological conditions, specifically whether the winds are coming from the Paris region. It appears, based on these measurements, that the pollution in the Orléans area is very much tied to the nearby megacity of Paris, this may be true for other peri-urban sites with implications for city planning and pollution mitigation strategies.

scholarly journals Evaluating the Influence of Meteorological Parameters on Ozone Concentration Levels

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.  

Indoor Air Quality Monitoring Systems

2021 ◽  
Vol 11 (3) ◽  
pp. 1-14
Author(s):  
Rasha AbdulWahhab ◽  
Karan Jetly Jetly ◽  
Shqran Shakir
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Ad Hoc ◽  
Quality Monitoring ◽  
Monitoring Systems ◽  
Air Quality Monitoring ◽  
Research Activity ◽  
Pollution Levels ◽  
Closed Area

Research activity in the field of monitoring indoor quality systems has increased dramatically in recent years. Monitoring closed areas can reduce health-related risks due to poor or contaminated air quality. In the current COVID pandemic, the population has observed that improving ventilation in the closed area can significantly reduce infection risk. However, the significance of air quality statistics makes highly accurate real-time monitoring systems vital. In this paper, several researchers' protocols and the methodologies for monitoring a good high indoor air quality system are presented. The majority of the reviewed works are aimed to reduce air pollution levels of the atmosphere. The vast majority of the identified works utilized IoT and WSN technology to fix the partial access to sensed data, high cost, and non-scalability of conventional air monitoring systems. Furthermore, ad-hoc approaches are predominantly used to help society change its attitude and impose corrective actions to improve air quality. This paper presents a short but comprehensive review of several researchers works with different approaches to ecological trend analysis capabilities, drawing on existing literature works. Overall, the findings highlight the need for developing systematic protocols for these systems and establishing smart air quality monitoring systems capable of measuring pollutant concentrations in the air.

scholarly journals NGHIÊN CỨU ỨNG DỤNG MẠNG TRẠNG THÁI PHẢN HỒI ĐỂ DỰ BÁO CHẤT LƯỢNG KHÔNG KHÍ

2016 ◽  
Vol 54 (1) ◽  
pp. 54 ◽  
Author(s):  
Mac Duy Hung ◽  
Nghiem Trung Dung
Keyword(s):  
Air Quality ◽  
Air Pollutants ◽  
Meteorological Parameters ◽  
Air Pollutant ◽  
Training Data ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Multilayer Perception ◽  
Testing Data ◽  
Better Than

A study on the application of Echo State Network (ESN) for the forecast of air quality in Hanoi for a period of seven days, which is based on the nonlinear relationships between the concentrations of an air pollutant to be forecasted and meteorological parameters, was conducted. Three air pollutants being SO2, NO2 and PM10 were selected for this study. Training data and testing data were extracted from the database of Lang air quality monitoring station, Hanoi, from 2003 to 2009. Values forecasted by ESN are compared with those by MLP (Multilayer Perception). Results shown that, in almost experiments, the performance of ESN is better than that of MLP in terms of the values and the correlation of concentration trends. The averages of RMSE of ESN and MLP for SO2 are 5.9 ppb and 6.9 ppb, respectively. For PM10, the accuracy of ESN is 83.8% with MAE of 53.5 μg/m3, while the accuracy of MLP is only 77.6% with MAE of 68.2 μg/m3. For NO2, the performance of ESN and MLP is similar; the accuracy of both models is in the range of 60% to 72.7%. These suggest that, ESN is a novel and feasible approach to build the air forecasting model. Keywords: Forecast, air quality, ESN, MLP, ANN, Hanoi, Vietnam.

scholarly journals Meteorological parameters and pollution caused by Sulfur dioxide and their influence on construction materials and heritage

2011 ◽  
Vol 24 (1) ◽  
pp. 9-20 ◽  
Author(s):  
Ljubisa Preradovic ◽  
Predrag Ilic ◽  
Svetlana Markovic ◽  
Zoran Janjus
Keyword(s):  
Air Pollution ◽  
Sulfur Dioxide ◽  
Population Density ◽  
Meteorological Parameters ◽  
Statistical Data ◽  
Construction Materials ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Statistical Tool ◽  
Automatic Station

In work is presented research of presence Sulfur dioxide (SO2) on sample place where is intensive traffic and population density is high. Air quality monitoring was done with an automatic station. For the interpretation of the results are used monthly and annual patterns. On the basis of the detected pollutants during the air monitoring show the state of environmental conditions in terms of air pollution with Sulfur dioxide and influence of them on aero-pollution, structural materials and building heritage. Also is given evaluation of influence polluted air on building heritage. For statistical data processing and modeling of pollution along with meteorological parameters was used decision tree implementation of the analytical and statistical tool SPSS 17.

scholarly journals ASSESSMENT OF LOW-COST PARTICULATE MATTER SENSORS

2019 ◽  
Vol XLII-4/W18 ◽  
pp. 671-677
Author(s):  
K. Lehmann ◽  
A. Minhans ◽  
M. K. Fajari ◽  
M. Hahn
Keyword(s):  
Particulate Matter ◽  
Air Quality ◽  
Meteorological Parameters ◽  
Low Cost ◽  
The State ◽  
Quality Monitoring ◽  
Quality Data ◽  
Air Quality Monitoring ◽  
Low Costs ◽  
German Cities

Abstract. The effect of particulate matter is increasingly gaining significance due to its harmful effects on human and urban ecosystems. In view of it, many communities worldwide are collecting air quality data privately to influence their policy makers to make stricter provisions for reducing harmful emissions and thereby improving their quality of life. Likewise, in many German cities, a community of air quality monitors which rely on low-cost PM Sensors is gathering momentum. Such communities possess privately-owned & low-cost air quality monitoring devices that claim to accurately measure PM concentrations and are openly accessible via internet. One such initiative is an air quality monitoring network viz. “luftdaten.info”, which contains of more than 300 low-cost sensors that consistently obtains PM data, colloquially referred as fine dust, in the city of Stuttgart as well as its surrounding districts. Besides, eight stations are continuously monitoring PM concentration in Stuttgart; these are operated by the State Environmental Agency (LuBW- Landesanstalt für Umwelt Baden-Württemberg). Stuttgart University of Applied Sciences (HFT) has currently installed 7 low-cost PM sensors to monitor and study PM concentration in one of its projects. This study endeavors to relate PM 2.5 and PM 10.0 using low-cost sensors. It intends to investigate the reliability of the measured PM concentration using such low-costs sensors once these are placed horizontally and vertically apart and comparing the measures of the 7 sensors. Another objective is to compare the PM concentration measurements with a meteorological station operated by the State of Baden-Wuerttemberg in the vicinity. A correlation analysis is performed to develop understanding of relationships of PM concentration with meteorological parameters, viz. with respect to ambient temperature, air pressure, humidity, wind speed and wind direction. Furthermore, it attempts to develop a regression model using above listed meteorological parameters. Finally, deficiencies in the measurement of low-costs and its placement effects are commented. Further suggestions are made for improving the data capturing and analytical procedures while using low-cost sensors.

Modeling Dispersion of PM10 and PST in the Cesar Department Mining Region, Colombia by Using ISC and AERMOD

2010 ◽  
Author(s):  
Jose I. Huertas ◽  
Sebastia´n Izquierdo ◽  
Enrique D. Gonza´lez
Keyword(s):  
Air Quality ◽  
Emission Inventory ◽  
Meteorological Data ◽  
Correlation Coefficients ◽  
Monitoring Network ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Pollution Levels ◽  
Mining Region ◽  
High Degree

The mining region of the Cesar Department, Colombia, is made up of 6 mining companies with an approximate coal production of ∼3.5×107 tonnes/year through open cut exploitation. The region has an air quality monitoring network that reports readings exceeding the standard for the daily and annual concentration of PST and PM10. In order to orient the efforts of the decontamination program that has been implemented in the region, the environmental authority needs tools to model the PST and PM10 dispersion. Initially a unified PST and PM10 emission inventory methodology was developed and the topographic and meteorological information available for the region was collected. The dispersion of particled material was then modeled in ISC and AERMOD with meteorological data collected by 3 local stations during 2008. The results obtained were contrasted against the values measured by the air quality monitoring network that is operating in the region. Correlation coefficients were obtained exceeding 0.7, which is acceptable considering the high degree of uncertainty in emission inventory data. Based on the modeling results, the regions were delimited that, according to the local laws, correspond to areas with high, medium and moderate pollution levels. Finally, new actions were presented that make it possible to control PST and PM10 pollution in the mining region.

scholarly journals Assessment of COVID-19 Lockdown Impact on the Air Quality in Eastern Spain: PM and BTX in Urban, Suburban and Rural Sites Exposed to Different Emissions

Atmosphere ◽  
2022 ◽  
Vol 13 (1) ◽  
pp. 97
Author(s):  
Milagros Ródenas ◽  
Rubén Soler ◽  
Esther Borrás ◽  
Teresa Vera ◽  
José Jaime Diéguez ◽  
...  
Keyword(s):  
Air Quality ◽  
Meteorological Parameters ◽  
Control Strategies ◽  
Air Pollution Control ◽  
Benzene Toluene ◽  
Rural Sites ◽  
The Impact ◽  
Urban Sites

In early 2020, the COVID-19 pandemic spread globally, and severe measures to control it were implemented. This study investigates the impact of the lockdown on the air quality of three provinces in the Valencia region, eastern Spain, in the years 2015–2020, focusing on particulate matter (PM). A thorough statistical analysis using different approaches is conducted. Hourly patterns are also assessed. In addition, the role of meteorological parameters on PM is explored. The results indicate an overall PM10 reduction of 16.5% when comparing the lockdown in 2020 and the 2015–2019 period, while PM2.5 increased by 3.1%. As expected, urban zones experienced higher reductions than suburban zones, which experienced a PM concentration increase. The impact of the drastic drops of benzene, toluene and xylene (77.4%, 58.0% and 61.8%, respectively) on the PM values observed in urban sites is discussed. Our study provides insights on the effect of activity changes over a wide region covering a variety of air quality stations, urban, suburban and rural, and different emission types. The results of this work are a valuable reference and suggest the need for considering different factors when establishing scientific air pollution control strategies.

scholarly journals Analyzing and Improving the Performance of a Particulate Matter Low Cost Air Quality Monitoring Device

Atmosphere ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 251
Author(s):  
Evangelos Bagkis ◽  
Theodosios Kassandros ◽  
Marinos Karteris ◽  
Apostolos Karteris ◽  
Kostas Karatzas
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Air Quality ◽  
Urban Areas ◽  
Low Cost ◽  
Machine Learning Algorithms ◽  
Quality Monitoring ◽  
Reference Station ◽  
Air Quality Monitoring ◽  
Pollution Levels

Air quality (AQ) in urban areas is deteriorating, thus having negative effects on people’s everyday lives. Official air quality monitoring stations provide the most reliable information, but do not always depict air pollution levels at scales reflecting human activities. They also have a high cost and therefore are limited in number. This issue can be addressed by deploying low cost AQ monitoring devices (LCAQMD), though their measurements are of far lower quality. In this paper we study the correlation of air pollution levels reported by such a device and by a reference station for particulate matter, ozone and nitrogen dioxide in Thessaloniki, Greece. On this basis, a corrective factor is modeled via seven machine learning algorithms in order to improve the quality of measurements for the LCAQMD against reference stations, thus leading to its on-field computational improvement. We show that our computational intelligence approach can improve the performance of such a device for PM10 under operational conditions.

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