A Real-Time Air Quality and Public Health Monitoring and Management Model

Inhalation of air contaminants leads to various detrimental health consequences. These harmful effects happen whenever people are directly exposed to air pollution. Health Risks (HR) lowers the intensity, duration, and regularity of exposure to air pollution. The system provides customized Air Quality (AQ) data and related HR information. This system depends on pollution, the city layout, the weather, and the chemical and physical processes that affect the pollutant’s mobility. It measures the AQ levels in many places, like homes, schools, businesses, and transportation for Public Health (PH). It uses Big Data (BD) and a surveillance system to monitor the street-level AQ. The street-level AQ modeling shows higher accuracy than reference data [17]. The PH and prediction of HR are parts of the ongoing process. It shares knowledge about air pollution and its impact on PH.

Authors

Institutions

Publication Details

Journal
South Eastern European Journal of Public Health
Published
2024-09-02
DOI
https://doi.org/10.70135/seejph.vi.814
Citations
2
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
0.41
Controls
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article

A Real-Time Air Quality and Public Health Monitoring and Management Model

Ravindra Sharma, Naveen Singh Rana
2 citations
South Eastern European Journal of Public Health
Air Quality Monitoring and Forecasting
0.41
article

A Real-Time Air Quality and Public Health Monitoring and Management Model

Ravindra Sharma, Naveen Singh Rana
article en
2 citations

Abstract

Inhalation of air contaminants leads to various detrimental health consequences. These harmful effects happen whenever people are directly exposed to air pollution. Health Risks (HR) lowers the intensity, duration, and regularity of exposure to air pollution. The system provides customized Air Quality (AQ) data and related HR information. This system depends on pollution, the city layout, the weather, and the chemical and physical processes that affect the pollutant’s mobility. It measures the AQ levels in many places, like homes, schools, businesses, and transportation for Public Health (PH). It uses Big Data (BD) and a surveillance system to monitor the street-level AQ. The street-level AQ modeling shows higher accuracy than reference data [17]. The PH and prediction of HR are parts of the ongoing process. It shares knowledge about air pollution and its impact on PH.

South Eastern European Journal of Public Health
Kalinga University (IN)
Openalex Percentile: Top 42%
Air Quality Monitoring and Forecasting
0.41
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