scholarly journals Real-time dissemination of air quality information using data streams and Web technologies: linking air quality to health risks in urban areas / Izvješćivanje o kvaliteti zraka u stvarnom vremenu kontinuiranim prijenosom podataka i web tehnologijama - povezivanje kvalitete zraka sa zdravstvenim rizicima u urbanim sredinama

2015 ◽  
Vol 66 (2) ◽  
pp. 171-180
Author(s):  
Silvije Davila ◽  
Jadranka Pečar Ilić ◽  
Ivan Bešlić
Keyword(s):  
Air Quality ◽  
Real Time ◽  
Health Risks ◽  
Quality Index ◽  
Air Quality Index ◽  
Quality Information ◽  
Process Data ◽  
Data Stream Management ◽  
Stream Management ◽  
Time Dissemination

Abstract This article presents a new, original application of modern information and communication technology to provide effective real-time dissemination of air quality information and related health risks to the general public. Our on-line subsystem for urban real-time air quality monitoring is a crucial component of a more comprehensive integrated information system, which has been developed by the Institute for Medical Research and Occupational Health. It relies on a StreamInsight data stream management system and service-oriented architecture to process data streamed from seven monitoring stations across Zagreb. Parameters that are monitored include gases (NO, NO2, CO, O3, H2S, SO2, benzene, NH3), particulate matter (PM10 and PM2.5), and meteorological data (wind speed and direction, temperature and pressure). Streamed data are processed in real-time using complex continuous queries. They first go through automated validation, then hourly air quality index is calculated for every station, and a report sent to the Croatian Environment Agency. If the parameter values exceed the corresponding regulation limits for three consecutive hours, the web service generates an alert for population groups at risk. Coupled with the Common Air Quality Index model, our web application brings air pollution information closer to the general population and raises awareness about environmental and health issues. Soon we intend to expand the service to a mobile application that is being developed.

scholarly journals Real-time Air Quality Index monitoring experiments using SDS011 sensors and raspberry pi

2021 ◽  
Vol 1098 (4) ◽  
pp. 042090
Author(s):  
D Kurnia ◽  
F S Hadisantoso ◽  
A A Suprianto ◽  
E A Nugroho ◽  
J Janizal
Keyword(s):  
Air Quality ◽  
Real Time ◽  
Quality Index ◽  
Air Quality Index ◽  
Raspberry Pi

scholarly journals Environmentally-Powered WSN for Urban-Scale Mapping and Assessment of Air Quality in Qatar

2020 ◽  
Author(s):  
Hasan Tariq ◽  
Farid Touati
Keyword(s):  
Air Quality ◽  
Real Time ◽  
Assisted Living ◽  
Quality Index ◽  
Electrochemical Sensors ◽  
Ambient Assisted Living ◽  
Quality Measurement ◽  
Air Quality Index ◽  
Cross Sensitivity ◽  
Index Mapping

Environmental monitoring has gained significant importance in outdoor air quality measurement and assessment for fundamental survival as well as ambient assisted living. In real-time outdoor urban scale, instantaneous air quality index estimation, the electrochemical sensors warm-up time, cross-sensitivity computation-error, geo-location typography, instantaneous capacity or back up time; and energy efficiency are the six major challenges. These challenges lead to real-time gradient anomalies that effect the accuracy and pro-longed lags in air quality index mapping campaigns for state and environmental/meteorological agencies. In this work, a gradient-aware, multi-variable air quality-sensing node is proposed with event-triggered sensing based on position, gas magnitudes, and cross-sensitivity interpolation. In this approach, temperature, humidity, pressure, geo-position, photovoltaic power, volatile organic compounds, particulate matter (2.5), ozone, Carbon mono-oxide, Nitrogen dioxide, and Sulphur dioxide are the principle variables. Results have shown that the proposed system optimized the real-time air quality monitoring for the chosen geo-spatial cluster (Qatar University).

scholarly journals Real Time Air Quality Index from Various Locations

2020 ◽  
Vol 9 (2) ◽  
pp. 368-372
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Real Time ◽  
Environmental Protection Agency ◽  
Quality Index ◽  
Ground Level ◽  
Air Quality Index ◽  
Time Data ◽  
Open Government Data ◽  
Government Data

The surveys regarding air pollution shows that there has been a hasty growth due to the emission of fuels and exhaust gases from factories. The Air Quality Index (AQI) has been launched to note the contemporary status of the air quality. The intent of AQI is to aid every individual know how the regional air quality will make an impact on them. The Environmental Protection Agency assess the AQI for five major air pollutants namely Nitrogen dioxide (NO2), ground-level ozone (O3), particle pollution (PM10, PM2.5), carbon monoxide (CO), and sulphur dioxide (SO2). The intent of the project is to congregate real-time Air Quality Index from distinct monitoring stations across India, analysing the data and reporting on it. Collect the real-time data using the API key provided by Open Government Data (OGD) platform India. This is done by making use of Microsoft Business Intelligence (MSBI) and Power BI Tools to transform, analyse and visualize the data. This project can be utilized to develop various programs like Ozone today in Europe and in mobile applications which acts as an alert system that can protect people from air pollution.

scholarly journals Real-Time Profiling of Fine-Grained Air Quality Index Distribution Using UAV Sensing

2018 ◽  
Vol 5 (1) ◽  
pp. 186-198 ◽  
Author(s):  
Yuzhe Yang ◽  
Zijie Zheng ◽  
Kaigui Bian ◽  
Lingyang Song ◽  
Zhu Han
Keyword(s):  
Air Quality ◽  
Real Time ◽  
Quality Index ◽  
Air Quality Index ◽  
Fine Grained ◽  
Index Distribution

scholarly journals Evaluating the U.S. Air Quality Index as a risk communication tool: Comparing associations of index values with respiratory morbidity among adults in California

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0242031
Author(s):  
Kevin R. Cromar ◽  
Marya Ghazipura ◽  
Laura A. Gladson ◽  
Lars Perlmutt
Keyword(s):  
Air Quality ◽  
Risk Communication ◽  
Health Risks ◽  
Air Pollutants ◽  
Quality Index ◽  
Warm Season ◽  
Air Quality Index ◽  
Respiratory Morbidity ◽  
Communication Tool ◽  
The Individual

Background The Air Quality Index (AQI) in the United States is widely used to communicate daily air quality information to the public. While use of the AQI has led to reported changes in individual behaviors, such behavior modifications will only mitigate adverse health effects if AQI values are indicative of public health risks. Few studies have assessed the capability of the AQI to accurately predict respiratory morbidity risks. Methods and findings In three major regions of California, Poisson generalized linear models were used to assess seasonal associations between 1,373,165 respiratory emergency department visits and short-term exposure to multiple metrics between 2012–2014, including: daily concentrations of NO2, O3, and PM2.5; the daily reported AQI; and a newly constructed health-based air quality index. AQI values were positively associated (average risk ratio = 1.03, 95% CI 1.02–1.04) during the cooler months of the year (November-February) in all three regions when the AQI was very highly correlated with PM2.5 (R2 ≥ 0.89). During the warm season (March-October) in the San Joaquin Valley region, neither AQI values nor the individual underlying air pollutants were associated with respiratory morbidity. Additionally, AQI values were not positively associated with respiratory morbidity in the Southern California region during the warm season, despite strong associations of the individual underlying air pollutants with respiratory morbidity; in contrast, health-based index values were observed to be significantly associated with respiratory morbidity as part of an applied policy analysis in this region, with a combined risk ratio of 1.02 (95% CI: 1.01–1.03). Conclusions In regions where individual air pollutants are associated with respiratory morbidity, and during seasons with relatively simple air mixtures, the AQI can effectively serve as a risk communication tool for respiratory health risks. However, the predictive ability of the AQI and any other index is contingent upon the monitored values being representative of actual population exposures. Other approaches, such as health-based indices, may be needed in order to effectively communicate health risks of air pollution in regions and seasons with more complex air mixtures.

Preventing Health Risks Caused by Unhealthy Air Quality Using a CEP-Based SOA 2.0

2017 ◽  
pp. 170-196
Author(s):  
Juan Boubeta-Puig ◽  
Guadalupe Ortiz ◽  
Inmaculada Medina-Bulo
Keyword(s):  
Air Quality ◽  
Real Time ◽  
Health Risks ◽  
Service Oriented Architecture ◽  
Life Quality ◽  
End Users ◽  
Quality Information ◽  
Time Data ◽  
Service Oriented ◽  
User Friendly

Air quality has been a recurrent issue in recent years since it can seriously impact citizens' health and their life quality. Nowadays, the different ways to provide end users with air quality information do not provide real-time data and lack accessibility. Besides, they do not automatically adapt to the particular circumstances of each citizen. In this chapter, an event-driven service-oriented architecture is proposed for detecting air quality changes in real time as well as making this information available to end users in a user-friendly way, notifying them with customized alerts upon detecting any potentially hazardous level for their health, thereby helping to prevent health risks.

scholarly journals Responsive high-resolution air quality index mapping using model, regulatory monitor, and sensor data in real-time

2020 ◽  
Vol 15 (10) ◽  
pp. 1040a7
Author(s):  
Nico Schulte ◽  
Xiang Li ◽  
Jo Kay Ghosh ◽  
Philip M Fine ◽  
Scott A Epstein
Keyword(s):  
Air Quality ◽  
High Resolution ◽  
Real Time ◽  
Quality Index ◽  
Air Quality Index ◽  
Sensor Data ◽  
Index Mapping
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