A Mobile Environmental Air Quality Information System as a Support for m-Health

2014 ◽  
pp. 277-281
Author(s):  
Elena Mitreska ◽  
Danco Davcev ◽  
Kosta Mitreski
Keyword(s):  
Information System ◽  
Air Quality ◽  
Quality Information ◽  
Environmental Air

scholarly journals Air Quality Context Information Model for Ubiquitous Public Access to Geographic Information

2018 ◽  
Vol 7 (8) ◽  
pp. 316 ◽  
Author(s):  
Sungchul Hong
Keyword(s):  
Information System ◽  
Air Quality ◽  
Information Model ◽  
Heterogeneous Data ◽  
Geographic Information ◽  
Information Services ◽  
Public Access ◽  
Quality Information ◽  
Context Information ◽  
New Paradigm

The advance in Information Communication Technology (ICT) has contributed to global challenges of improving urban air quality. Ubiquitous computing technology enables citizens to easily access air quality information services without spatial or temporal limitations. Citizens are also encouraged to participate in air quality assessment and environmental governance. These societal and technical changes require a new paradigm to develop an air quality information system and its services. An air quality information system needs to integrate varied types of air quality information from heterogeneous data sources as well as allow citizens to express their concerns about air quality. Thus, a standardized manner is necessary to develop an air quality information system. In this regard, an air quality context information model was designed according to the Ubiquitous Public Access (UPA) context information model defined in the International Organization for Standard (ISO) 19154. For validation and verification purposes, the air quality context information model was implemented in a geographic information system (GIS)-based air quality information system. Implementation results showed that spatially relevant air quality information services were generated from the system, depending on the location and air quality situations near a specific user. Also, citizens can contribute air quality information at their current regions.

Design and prototype of an interoperable online air quality information system

2016 ◽  
Vol 79 ◽  
pp. 354-366 ◽  
Author(s):  
Stefan Wiemann ◽  
Johannes Brauner ◽  
Pierre Karrasch ◽  
Daniel Henzen ◽  
Lars Bernard
Keyword(s):  
Information System ◽  
Air Quality ◽  
Quality Information

Accuracy and reliability of Chile's National Air Quality Information System for measuring particulate matter: Beta attenuation monitoring issue

2015 ◽  
Vol 82 ◽  
pp. 101-109 ◽  
Author(s):  
Richard Toro A. ◽  
Claudia Campos ◽  
Carolina Molina ◽  
Raul G.E. Morales S. ◽  
Manuel A. Leiva-Guzmán
Keyword(s):  
Information System ◽  
Particulate Matter ◽  
Air Quality ◽  
Quality Information

Developing portable instrument based on Internet of Things for Air Quality Information System

2017 ◽  
Author(s):  
Fauzy Satrio Wibowo ◽  
Febrianto Alqodri ◽  
Nurani Lathifah ◽  
Siti Sendari ◽  
Dyah Lestari ◽  
...  
Keyword(s):  
Information System ◽  
Air Quality ◽  
Internet Of Things ◽  
Quality Information ◽  
Portable Instrument

scholarly journals Spatial and Temporal Characteristics of Environmental Air Quality and Its Relationship with Seasonal Climatic Conditions in Eastern China during 2015–2018

2021 ◽  
Vol 18 (9) ◽  
pp. 4524
Author(s):  
Zhiyuan Wang ◽  
Xiaoyi Shi ◽  
Chunhua Pan ◽  
Sisi Wang
Keyword(s):  
Particulate Matter ◽  
Air Quality ◽  
Air Pollutants ◽  
Large Scale ◽  
Asian Summer Monsoon ◽  
Eastern China ◽  
Climatic Conditions ◽  
Uniform Structure ◽  
Concentration Limit ◽  
Environmental Air

Exploring the relationship between environmental air quality (EAQ) and climatic conditions on a large scale can help better understand the main distribution characteristics and the mechanisms of EAQ in China, which is significant for the implementation of policies of joint prevention and control of regional air pollution. In this study, we used the concentrations of six conventional air pollutants, i.e., carbon monoxide (CO), sulfur dioxide (SO2), nitrogen dioxide (NO2), fine particulate matter (PM2.5), coarse particulate matter (PM10), and ozone (O3), derived from about 1300 monitoring sites in eastern China (EC) from January 2015 to December 2018. Exploiting the grading concentration limit (GB3095-2012) of various pollutants in China, we also calculated the monthly average air quality index (AQI) in EC. The results show that, generally, the EAQ has improved in all seasons in EC from 2015 to 2018. In particular, the concentrations of conventional air pollutants, such as CO, SO2, and NO2, have been decreasing year by year. However, the concentrations of particulate matter, such as PM2.5 and PM10, have changed little, and the O3 concentration increased from 2015 to 2018. Empirical mode decomposition (EOF) was used to analyze the major patterns of AQI in EC. The first mode (EOF1) was characterized by a uniform structure in AQI over EC. These phenomena are due to the precipitation variability associated with the East Asian summer monsoon (EASM), referred to as the “summer–winter” pattern. The second EOF mode (EOF2) showed that the AQI over EC is a north–south dipole pattern, which is bound by the Qinling Mountains and Huaihe River (about 35° N). The EOF2 is mainly caused by seasonal variations of the mixed concentration of PM2.5 and O3. Associated with EOF2, the Mongolia–Siberian High influences the AQI variation over northern EC by dominating the low-level winds (10 m and 850 hPa) in autumn and winter, and precipitation affects the AQI variation over southern EC in spring and summer.

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