Green Map - An Application for Air Quality Monitoring in the City

2019 ◽  
pp. 241-245
Author(s):  
Diana Soponar ◽  
Ioana Ciuciu
Keyword(s):  
Air Quality ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
The City

scholarly journals Rationale For a Regional Monitoring Program of Atmospheric Air Quality in the Dnepropetrovsk Region

2021 ◽  
Vol 6 (3) ◽  
pp. 220-225
Author(s):  
S. V. Stepanov ◽  
◽  
N. I. Rublevska
Keyword(s):  
Public Health ◽  
Air Quality ◽  
Monitoring System ◽  
Phenol Formaldehyde ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Regional Monitoring ◽  
Atmospheric Air ◽  
Industrial Cities ◽  
The City

The air quality monitoring system in industrial cities is one of the systems for responding to risk factors in the public health system. The purpose of the study is, on the basis of a hygienic assessment of carcinogenic and non-carcinogenic risks from exposure to specific pollutants in the cities of Dnipro, Kamenskoye, Kryvyi Rih, to substantiate a program for regional monitoring of atmospheric air quality. Materials and methods. To achieve this goal, the results of air quality studies in the largest industrial cities of the Dnipropetrovsk region – Dnipro, Kryvyi Rih and Kamenskoe for the period 2005-2019 were analyzed in terms of phenol, formaldehyde, benzene, xylene and toluene, and carcinogenic and non-carcinogenic risks to public health were calculated in these cities. Results and discussion. According to the results of the study, individual carcinogenic risks in all three cities in terms of formaldehyde are medium, and in terms of benzene are high. The population carcinogenic risk ranges from 200-269 additional cases of cancer from exposure to formaldehyde and 3727-4426 additional cases of cancer from chronic inhalation exposure to benzene. The calculation of non-carcinogenic risks identified the priority specific air pollutants in the cities under study, as well as the main target organs. So the main systems that are influenced by the action of the studied chemicals are the central nervous system, the general development of the body and the blood system. Based on the risk assessment, it was established that it is necessary to include the Kamenskoye metro station for regional monitoring. It is necessary to include all pollutants from List A to the minimum list of investigated chemicals, and for the city of Dnipro and Kamenskoye it is additionally necessary to carry out studies of phenol, formaldehyde and toluene and in the city of Kryvyi Rih – formaldehyde and toluene. The mechanism of data processing and interaction between the subjects of monitoring has been substantiated for the timely identification of risks and the development of necessary preventive measures for risk management. Conclusion. It was found that carcinogenic and non-carcinogenic risks in industrial cities of the Dnipropetrovsk region are not acceptable. The existing monitoring system does not fully comply with the current requirements. The minimum program of the regional air quality monitoring system in the Dnipropetrovsk region has been scientifically substantiated

scholarly journals Analysis of concentration levels of particulate matter (PM10, total suspended particulates and black smoke) in the city of Zrenjanin

2010 ◽  
Vol 64 (5) ◽  
pp. 453-458 ◽  
Author(s):  
Bogdana Vujic ◽  
Dusan Milovanovic ◽  
Dejan Ubavin
Keyword(s):  
Particulate Matter ◽  
Air Quality ◽  
Geographical Location ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Suspended Particulates ◽  
Black Smoke ◽  
Total Suspended Particulates ◽  
The City ◽  
Concentration Levels

Air quality monitoring on the territory of AP Vojvodina was initiated in mid 90s. During the last decade of the 20th century the development of the air quality monitoring in Serbia didn?t keep up with the pace of the other countries in the region due to political isolation and severe economic crisis. Monitoring of the particular pollutants was conducted unsystematically and sporadically. Data presented in this paper were obtained on the territory of the city of Zrenjanin, which represents typical agglomeration in the region in regard to its geographical location, population, level of industry development and the presence of natural gas as energy product in the remote and domestic heating system of residential objects. Available data on the concentration levels of PM10 (particulate matter with aerodynamic diameter less than 10 ?m), TSP (total suspended particulates) and BS (black smoke) during the period of 2005-2007 (three cold and three warm seasons) have been used in this work in order to carry out analysis and comparison of the daily concentration levels of PM10, TSP and BS and their seasonal variation.

scholarly journals The representativeness of ground-based air quality monitoring stations: observation and recommendation from Indian cities 

2021 ◽  
Author(s):  
Arindam Roy ◽  
Satoshi Takahama ◽  
Athanasios Nenes ◽  
Sumit Sharma ◽  
Anju Goel
Keyword(s):  
Land Use ◽  
Air Quality ◽  
Premature Mortality ◽  
Quality Monitoring ◽  
Quality Data ◽  
Population Exposure ◽  
Air Quality Monitoring ◽  
The City ◽  
Indian Cities ◽  
Monitoring Stations

<div> <p>It is well established that the high level of particulate matter is a leading cause of premature mortality and disease worldwide and especially in South Asia (Global Burden of Disease Study, 2019). The ground-based air quality (AQ) monitoring stations are used to calculate economic loss, premature mortality and validate the conversed PM2.5 concentration from satellite-based Aerosol Optical Depth (AOD) data. Over India, 793 manual monitoring air quality (AQ) monitoring stations and 307 automated AQ monitoring station are presently operating under the aegis of National Air Quality Monitoring Programme and Central Pollution Control Board respectively. However, studies addressing the spatial representativeness of the data generated from the AQ monitoring stations over India are very limited and therefore, it is unclear that whether the existing stations are sufficient to reflect the average ambient AQ over different Indian cities. </p> </div><div> <p>The present study intends to classify the existing AQ monitoring stations on the basis of spatial representativeness and derive a general conceptual framework for commissioning representative AQ monitoring sites for Indian cities. The methodology involves analysis of land use, populations and air quality data for the existing air quality stations in million plus Indian cities. A case study was conducted for Pune (18.5° N, 73.8° E), a western Indian metro city with 3.15 million population (Census, 2011). Using the night-time light data and high resolution PM2.5, population exposure hotspots over Pune city were identified. It was observed that not only at the midst of the municipal area, population exposure hotspots can be identified at the peripheral region of PMC/PNMC which certainly signify the role of rapid developmental activity and urban agglomeration over Pune city. The existing air quality monitoring sites are located majorly in the pollution hotspots in the city center region and therefore installing AQ monitoring stations (co-located  with weather station) at the rapidly developing parts of the city is highly recommended. The present land use pattern and the location of existing monitoring sites suggests lack of urban background monitoring stations which indicates the gap of knowledge in monitoring the average air quality responsible of long-term health effect over Pune. The prevalence of AQ monitoring stations in the road junction points and near to metro construction works might overestimate the exposure estimate of the general population in the city.   </p> </div>

scholarly journals Perceptions of Air Quality in Ljubljana

Dela ◽  
2016 ◽  
pp. 67-88
Author(s):  
Katja Vintar Mally
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Environmental Problem ◽  
Environmental Problems ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
The City

This article presents the results of research examining perceptions of air quality in the city of Ljubljana based on extensive interviews. Perceptions of air quality are also compared with perceptions of other environmental problems, as well as to data from air quality monitoring in the study area. The findings suggest that residents perceive air pollution as a major environmental problem in the city and that people remain firmly convinced of Ljubljana’s poor air quality despite its overall improvement.

The Design and Implementation of Monitoring Data Warehouse of Ambient Air Quality

2012 ◽  
Vol 424-425 ◽  
pp. 616-620
Author(s):  
Rui Lian Hou ◽  
Ai Mei Dong ◽  
Xiu Fang Li
Keyword(s):  
Air Quality ◽  
Data Warehouse ◽  
Data Model ◽  
Ambient Air ◽  
Quality Monitoring ◽  
Monitoring Data ◽  
Air Quality Monitoring ◽  
Ambient Air Quality ◽  
Modeling Theory ◽  
The City

This paper provides the schemata and arithmetic of the city ambient air quality monitoring data warehouse. And describes the Modeling Theory and Method for Constructing Fact Table of Data Warehouse,;At last The implementation of the CAQMADW prototype validates the feasibility of domain data model

scholarly journals A concept of the air quality monitoring system in the city of Lublin with machine learning methods to detect data outliers

2019 ◽  
Vol 252 ◽  
pp. 03009 ◽  
Author(s):  
Tomasz Cieplak ◽  
Tomasz Rymarczyk ◽  
Robert Tomaszewski
Keyword(s):  
Machine Learning ◽  
Air Quality ◽  
Monitoring System ◽  
Low Cost ◽  
Quality Monitoring ◽  
Spatiotemporal Variability ◽  
Air Quality Monitoring ◽  
Learning Methods ◽  
Machine Learning Methods ◽  
The City

This paper presents a concept of the air quality monitoring system design and describes a selection of data quality analysis methods. A high level of industrialisation affects the risk of natural disasters related to environmental pollution such ase.g.air pollution by gases and clouds of dust (carbon monoxide, sulphur oxides, nitrogen oxides). That is why researches related to the monitoring this type of phenomena are extremely important. Low-cost air quality sensors are more commonly used to monitor air parameters in urban areas. These types of sensors are used to obtain an image of the spatiotemporal variability in the concentration of air pollutants. Aside from their low price , which is important from a point of view of the economic accessibility of society, low-cost sensors are prone to produce erroneous results compared to professional air quality monitors. The described study focuses on the analysis of outliers as particularly interesting for further analysis, as well as modelling with machine learning methods for air quality assessment in the city of Lublin.

scholarly journals ANALYSIS OF THE RESULTS OF AIR QUALITY MONITORING IN THE AREA OF THE CITY OF ZENICA

2021 ◽  
Vol 9 (12) ◽  
pp. 453-461
Author(s):  
Mirnes Durakovic ◽  
◽  
Azrudin Husika ◽  
Halim Prcanovic ◽  
Sanela Beganovic ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Sulfur Dioxide ◽  
Sampling Period ◽  
Ambient Air ◽  
Quality Monitoring ◽  
World Health ◽  
Air Quality Monitoring ◽  
Short Period ◽  
The City

According to the World Health Organization (WHO), air pollution is the largest single environmental risk to public health. According to the latest estimate of this organization, 9 out of 10 people on the planet breathe polluted air. The development of industry in the relatively small Zenica valley reflected on air quality in the city of Zenica. The problem of high air pollution due to emissions of pollutants from industrial sources, traffic, and individual furnaces, burning of environmentally unsuitable fuels containing high sulfur and ash content has been present in the City of Zenica for a long time. In addition, the low wind speed during the year, which ranges up to 1.5 m/s, with unfavorable temperature inversions, causes the concentrations of pollutants in the air to reach alarmingly high values in a short period. In the wider area of the City of Zenica, air quality has been monitored since 1978 in the network of stationary stations. The paper presents results of air quality monitoring which are analyzed at the Institute Kemal Kapetanovic in Zenica for the sampling period from 01.01.2019. to 31.12.2020. years. Air quality monitoring included sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), and particulate matter (PM10) at three locations in the wider area of the city of Zenica. In the wider area of the City of Zenica, air quality has been monitored since 1978 in the network of stationary stations. The paper presents the processed results of air quality monitoring which are analyzed at the Institute Kemal Kapetanovic in Zenica for the sampling period from 01.01.2019 to 31.12.2020. The measured concentrations of pollutants in the ambient air indicate that during the heating season, i.e. the winter months, the air quality in the urban and suburban areas of the city of Zenica is very poor. The data show that the highest hourly concentration of sulfur dioxide was recorded in December at the measuring station AMS Tetovo in the amount of 1100.59 µg/m3, which is located in the settlement next to the metallurgical facilities of the industrial zone Zenica.

Hygienic Assessment of Ambient Air Quality in Chita, a Priority Area of the Federal Clean Air Project

2020 ◽  
pp. 16-22
Author(s):  
SV Klein ◽  
EV Popova
Keyword(s):  
Air Quality ◽  
Action Planning ◽  
Ambient Air ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Ambient Air Quality ◽  
Residential Areas ◽  
Clean Air ◽  
The City ◽  
Fold Excess

Introduction: The article is devoted to poor ambient air quality in some cities of the Russian Federation, one the most important social and environmental issues of today. The city of Chita is a priority area in term of ambient air pollution included in the Federal Clean Air Project of the National Ecology Project. Our objective was to assess air quality in residential areas of the city for a further improvement of the ambient air quality monitoring system and air quality action planning. Materials and methods: We analyzed the results of measuring ambient air quality at the monitoring sites of the government environmental monitoring system for 2014–2018 and statistical data on the volume and composition of industrial emissions. The spatial analysis of the impact of enterprises on residential areas was carried out in accordance with the guidelines of the Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing (Rospotrebnadzor). Results and discussion: We established high concentrations of benzo(a)pyrene (up to a 10.5-fold excess of the average daily maximum permissible concentration (MPC)), particulate matter (up to a 1.63-fold excess of the average daily MPC and a 11.4-fold excess of the single MPC), nitrogen dioxide (up to a 1.18-fold excess of the average daily MPC), hydrogen sulfide (up to a 11.94-fold excess of the single MPC), phenol, soot, and some other hazardous air contaminants. We determined priority sources of anthropogenic emissions and other factors contributing to poor air quality in Chita. Conclusions: Our findings indicate the necessity to enhance the existing ambient air quality monitoring network and programs, to assess spatial distribution of resulting exposure levels and population health risks, and to decide on the adequacy of the air quality action planning in the city of Chita in accordance with the comprehensive plan.

scholarly journals Optimising Citizen-Driven Air Quality Monitoring Networks for Cities

2018 ◽  
Vol 7 (12) ◽  
pp. 468 ◽  
Author(s):  
Shivam Gupta ◽  
Edzer Pebesma ◽  
Auriol Degbelo ◽  
Ana Costa
Keyword(s):  
Air Quality ◽  
Exposure Assessment ◽  
Urban Areas ◽  
Quality Monitoring ◽  
Sensor Technology ◽  
Prediction Errors ◽  
Air Quality Monitoring ◽  
Monitoring Networks ◽  
Missed Opportunities ◽  
The City

Air quality has had a significant impact on public health, the environment and eventually on the economy of countries for decades. Effectively mitigating air pollution in urban areas necessitates accurate air quality exposure information. Recent advancements in sensor technology and the increasing popularity of volunteered geographic information (VGI) open up new possibilities for air quality exposure assessment in cities. However, citizens and their sensors are put in areas deemed to be subjectively of interest (e.g., where citizens live, school of their kids or working spaces), and this leads to missed opportunities when it comes to optimal air quality exposure assessment. In addition, while the current literature on VGI has extensively discussed data quality and citizen engagement issues, few works, if any, offer techniques to fine-tune VGI contributions for an optimal air quality exposure assessment. This article presents and tests an approach to minimise land use regression prediction errors on citizen-contributed data. The approach was evaluated using a dataset (N = 116 sensors) from the city of Stuttgart, Germany. The comparison between the existing network design and the combination of locations selected by the optimisation method has shown a drop in spatial mean prediction error by 52%. The ideas presented in this article are useful for the systematic deployment of VGI air quality sensors, and can aid in the creation of higher resolution, more realistic maps for air quality monitoring in cities.

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