A WEB-BASED SYSTEM FOR AIR POLLUTION MONITORING WITH API-INTEGRATED DATA SOURCES

The developed web-based platform for atmospheric air monitoring is a multicomponent system that collects, processes and visualizes data on air pollution. The platform integrates data from automated monitoring stations and historical data, providing the user with real-time information on concentrations of pollutants such as PM2.5, PM10, CO, SO₂, NO₂, as well as the Air Quality Index (AQI). One of the key features is the use of cartographic tools to display the spread of pollutants, which contributes to an in-depth analysis of the spatial and temporal dynamics of pollution. The system also provides recommendations for vulnerable populations based on World Health Organization standards. The platform includes up-to-date and historical data for forecasting changes in the environmental situation, which allows to form effective strategies for air quality management and making environmentally sound decisions at different levels.

Authors

Publication Details

Journal
NEWS OF THE NATIONAL ACADEMY OF SCIENCES OF THE REPUBLIC OF KAZAKHSTAN
Published
2025-09-27
DOI
https://doi.org/10.32014/2025.2518-1726.376
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
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article

A WEB-BASED SYSTEM FOR AIR POLLUTION MONITORING WITH API-INTEGRATED DATA SOURCES

Nurlan Temirbekov, Syrym Kasenov, Dinara Tamabay, Almas Temirbekov et al.
NEWS OF THE NATIONAL ACADEMY OF SCIENCES OF THE REPUBLIC OF KAZAKHSTAN
Air Quality Monitoring and Forecasting
article

A WEB-BASED SYSTEM FOR AIR POLLUTION MONITORING WITH API-INTEGRATED DATA SOURCES

Nurlan Temirbekov, Syrym Kasenov, Dinara Tamabay, Almas Temirbekov, A.T. Baimankulov
article en

Abstract

The developed web-based platform for atmospheric air monitoring is a multicomponent system that collects, processes and visualizes data on air pollution. The platform integrates data from automated monitoring stations and historical data, providing the user with real-time information on concentrations of pollutants such as PM2.5, PM10, CO, SO₂, NO₂, as well as the Air Quality Index (AQI). One of the key features is the use of cartographic tools to display the spread of pollutants, which contributes to an in-depth analysis of the spatial and temporal dynamics of pollution. The system also provides recommendations for vulnerable populations based on World Health Organization standards. The platform includes up-to-date and historical data for forecasting changes in the environmental situation, which allows to form effective strategies for air quality management and making environmentally sound decisions at different levels.

NEWS OF THE NATIONAL ACADEMY OF SCIENCES OF THE REPUBLIC OF KAZAKHSTANVol. 355(3)
Openalex Percentile: Top 76%
Air Quality Monitoring and Forecasting
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