Қазақ ұлттық қыздар педагогикалық университеті / Казахский национальный женский педагогический университет

Постоянный URI для этого сообществаhttps://cris.qyzpu.kz/handle/123456789/1

Просмотр

Фильтры

2020 - 20262

Настройки

Язык: АнглийскийТема: search.filters.subject.carbon monoxide

Результаты поиска

Показано: 1 - 2 из 2
  • Загрузка...
    Изображение-миниатюра
    Некоторые метрики заблокированы вашими 
    настройками согласия
    Тип записи:Публикация,
    ECOLOGICAL CONDITION OF THE CITY OF ALMATY
    (2020-01-01)
    Damezhan Sadykova
    This article discusses the environmental issues of the city of Almaty, which are one of the burning problems of Kazakhstan, the climate in the city begins to acquire the characteristic features of the subtropical zone. The process of climate change leads to the fact that the extremeness of weather events increases, the number of extreme temperatures increases. The main causes of air pollution in Almaty are emissions of pollutants by road and outdated technologies of many industries, such as thermal power plants. Due to pollution in the air, the presence of carbon monoxide accumulates, it cannot be felt by a person by smell or color, but it can create an oxygen deficiency in the tissues of human bodies, which can cause headache, dizziness, nausea, loss of consciousness, and the presence of dioxide in the air Nitrogen, when interacting with exhaust carbon, contributes to the formation of photochemical fog - smog. The main task of restoring a healthy ecological climate in Almaty and to solve it requires the most effective, well-thought-out and really feasible projects and programs that could be aimed at restoring, maintaining and maintaining the ecological condition of our city.
  • Загрузка...
    Изображение-миниатюра
    Некоторые метрики заблокированы вашими 
    настройками согласия
    Тип записи:Публикация,
    A Web-Based Digital Twin for Traffic and Air Quality Monitoring: A Prototype Study in Almaty, Kazakhstan
    (Multidisciplinary Digital Publishing Institute, 2026-08-18)
    Saya Sapakova
    ;
    Аскар Сапаков
    ;
    Omirlan Auelbekov
    ;
    Lyailya Tukenova
    ;
    Sakhybay Tynymbayev
    Urban air pollution driven by road traffic poses a significant public health challenge in cities with high vehicle density and frequent congestion, particularly in topographically constrained environments such as Almaty, Kazakhstan. This study presents a web-based digital twin prototype for the integrated monitoring and analysis of traffic flow and air quality in Almaty, Kazakhstan. The system autonomously collects data from the TomTom Traffic, OpenWeather Air Pollution, and WAQI APIs and official population statistics for five fixed monitoring stations, computing traffic density, vehicles per hour, road congestion, estimated CO2 emissions, an air pollution index, and a population exposure index, and providing real-time dashboard visualization alongside longitudinal data accumulation. Over a 50-day deployment (26 May–16 July 2026), 4961 real co-located observations across 18 active days were analyzed; records generated by the prototype’s fallback mechanism during API outages were excluded from the scientific analysis. During this summer period, PM2.5 was low (mean ≈ 6 µg/m3) and spatially uniform, and showed no statistically significant association with traffic intensity (r ≈ −0.03). Traffic indicators were instead weakly but significantly correlated with the vehicle-emitted gases NO2 (r ≈ 0.16) and CO (r ≈ 0.10), which they preceded by up to about one hour. A short-horizon PM2.5 nowcasting task, evaluated across temporal resolutions with time-series cross-validation, was dominated by temporal persistence, with traffic-derived features contributing negligibly. The absence of a summer traffic–PM2.5 association does not preclude such a relationship during the heating season, when particulate levels are higher. The results indicate that the traffic–air-quality relationship in Almaty is season- and pollutant-dependent, and demonstrate a lightweight, reproducible platform suitable for longitudinal monitoring and future heating-season assessment.