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.

scholarly journals Analysis of Urban Air Pollution and The Effectiveness of Air Pollution Control Policy in Malaysia: Case Study in Klang Valley, Malaysia

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Siti Haslina Mohd Shafie ◽  
Suzani Mohamad ◽  
Nor Lita Fadilah Rameli ◽  
Sahala Benny Pasaribu
Keyword(s):  
Air Pollution ◽  
Information System ◽  
Air Quality ◽  
Geographic Information System ◽  
Environmental Sustainability ◽  
Local Community ◽  
Well Being ◽  
Geographic Information ◽  
Klang Valley ◽  
The Government

AbstractAir pollution in Malaysia is largely attributed to motor vehicles and land transportation, industrial activities and open burning. It has a hazardous effect on the public’s health and the environment. This study focuses on the spatial analysis of carbon monoxide (CO) and ozone (O3) concentrations trend in Klang Valley stations, specifically in Klang, Petaling Jaya, Kajang, Shah Alam and Cheras from 2000 to 2009. The study used the Inverse Distance Weighted (IDW) interpolation technique under the Geographic Information System (GIS). This study found that the distribution pattern of CO spatial concentrations in the Klang Valley is the highest concentration and reached 2.5 ppm, especially in Klang and Petaling Jaya stations in 2002 and 2003. However, the annual concentration of O3 recorded in Klang, Petaling Jaya, Kajang, Shah Alam, and Cheras stations from 2004 to 2009 is between 0.01 to 0.025 ppm. While air quality legislations have been introduced in Malaysia, policies and regulations being established by the government, their enforcement is still weak. Subsequently, air pollution is still a significant issue in Malaysia. Strong cooperation between the government, stakeholders and the local community is important to promote environmental sustainability and improve the community’s well-being. Keywords: Air pollution; Geographic Information System (GIS); Air Quality Policy; Malaysia

scholarly journals Urban Air Quality Assessment Using Integrated Artificial Intelligence Algorithms and Geographic Information System Modeling in a Highly Congested Area, Iraq

2020 ◽  
Vol 55 (1) ◽  
Author(s):  
Oday Zakariya Jasim ◽  
Noor Hashim Hamed ◽  
Mohammed Abdullah Abid
Keyword(s):  
Information System ◽  
Air Quality ◽  
Geographic Information System ◽  
Regression Model ◽  
Quality Assessment ◽  
Urban Areas ◽  
Geographic Information ◽  
Urban Air ◽  
Congested Area ◽  
Air Quality Assessment

Pollutant emissions are considered to be a major threat to air quality and human health in urban areas. Therefore, accurate modeling and assessment tools are required. In this study, a model was done by the integration of machine learning algorithms and a geographic information system model. This model included the optimization of the support vector regression model by using the principal component analysis algorithm. Then, the integration of the regression model with spatial analysis modeling via a grid (100 x 100 m) was done in order to generate prediction maps during holidays and workdays in the daytime and at nighttime in a highly congested area in Baghdad city, Iraq. The data used in this study categorized into two categories. The first category is the data acquired through field surveying that includes temperature, humidity, wind speed, wind direction, and traffic flow data (e.g., the number of light and heavy vehicles), as well as carbon monoxide samples by using mobile equipment. The second category is the information derived from geographic information system data, such as land use, road network, and building height. The accuracy of the proposed model is 81%, and the lowest value of root mean square error was 0.067 ppm. The integration between air pollution models and geographic information system techniques could be a promising tool for urban air quality assessment and urban planning. These tools effectively utilized by stakeholders and decision-makers to outline proper plans and strategies to mitigate air pollutants in urban areas.

scholarly journals Towards a Consistent Measurement Stream Processing from Heterogeneous Data Sources

2017 ◽  
Vol 7 (6) ◽  
pp. 3164 ◽  
Author(s):  
Mario Diván ◽  
María de los Ángeles Martín
Keyword(s):  
Stream Processing ◽  
Heterogeneous Data ◽  
Geographic Information ◽  
Context Information ◽  
Practical Case ◽  
Information Need ◽  
Concept Model ◽  
Heterogeneous Data Sources ◽  
Measurement And Evaluation ◽  
Consistent Measurement

<span>In this work an updating of the C-INCAMI (Context-Information Need, Concept model, Attribute, Metric and Indicator) conceptual framework for Measurement and Evaluation projects was proposed. The updating incorporated better supporting for the measures stream processing. Therefore, a new version of the measurement interchange schema based on the updated C-INCAMI framework was introduced. This new schema incorporated the concept of “complementary data” linking them with geographic information. The complementary data could be associated with the measures and allowed us incorporating video, geographic information, text plain, audio or pictures with the quantitative measures (deterministic or estimated) jointly. A practical case associated with the Weather Radar of the Experimental Agricultural Station (EAS) INTA Anguil (Province of La Pampa, Argentina) was shown, indicating the advantages of the new schema.</span>

Mobile Geographic Information Services

2009 ◽  
pp. 944-949 ◽  
Author(s):  
Lin Hui ◽  
Ye Lei
Keyword(s):  
Information System ◽  
Information Service ◽  
Value Added ◽  
Geographic Information ◽  
Information Services ◽  
Location Based Services ◽  
Third Generation ◽  
Mobile Gis ◽  
History Of ◽  
Inside Out

The birth of mobile geographic information service (GIS) is introduced first, which is coming from the value-added service requirements in third generation (3G) telecommunications and functionally supported by geographic information system technologies. Then the history of mobile geographic services coming from mobile GIS (MGIS) is introduced. The present turning inside-out model of mobile geographic information service is discussed. The future developing trends of mobile geographic information services supported by ubiquitous computing research is proposed. The overview of mobile geographic information service is summarized in the conclusion, and the relationships and fusions between location-based services (LBS) and mobile geographic information services are discussed.

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