DETERMINATION OF THE RELIABILITY OF AIR POLLUTION MEASUREMENT DATA BASED ON VEHICULAR EMISSION RECOGNIZED AS CONCOMITANT IN ASTANA

Dariya Bissengaliyeva, Temirlan Amanzholov, Adina Rakhimkul, D. Yedilkhan
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Abstract

Air pollution is a primary global concern due to its adverse effects on human health and the environment. Accurate air pollution measurement is crucial for developing effective control strategies and evaluating their impact. In Astana, vehicular emissions are recognized as a significant contributor to air pollution. This study aims to determine the reliability of air pollution measurement data in Astana by examining the impact of vehicular emissions on air quality to establish the accuracy of air pollution measurement methods in the city. The study will use a combination of monitoring and modeling techniques to quantify the contribution of vehicular emissions to air pollution in Astana. The monitoring component will involve the deployment of air quality monitoring stations throughout the city to measure levels of pollutants such as particulate matter (PM). The modeling component will use air dispersion models to simulate the dispersal of pollutants from vehicular emissions and predict their concentration levels in different parts of the city. The results of this research will provide insights into the effectiveness of existing air pollution control strategies and may inform future efforts to improve air quality in Astana. Based on the collected data for a certain period, a comparative table is built describing the difference between the actual data from the collection points of air emission indicators. The article will likely interest researchers and policymakers concerned with air pollution and its effects on human health and the environment. The critical point of the article is that air quality is affected not only by transport but also by other emissions.
基于在阿斯塔纳被确认为伴随物的车辆排放的空气污染测量数据的可靠性确定
空气污染因其对人类健康和环境的不利影响而成为全球关注的主要问题。准确的空气污染测量对于制定有效的控制战略和评估其影响至关重要。在阿斯塔纳,汽车尾气排放被认为是造成空气污染的一个重要因素。本研究旨在通过检查车辆排放对空气质量的影响来确定阿斯塔纳空气污染测量数据的可靠性,以建立城市空气污染测量方法的准确性。这项研究将使用监测和建模技术相结合的方法,量化车辆排放对阿斯塔纳空气污染的影响。监测部分将包括在整个城市部署空气质量监测站,以测量颗粒物(PM)等污染物的水平。建模组件将使用空气扩散模型来模拟车辆排放污染物的扩散,并预测其在城市不同地区的浓度水平。这项研究的结果将为现有空气污染控制策略的有效性提供见解,并可能为未来改善阿斯塔纳空气质量的努力提供信息。根据某一时间段的采集数据,建立对比表,描述各大气排放指标采集点实际数据的差异。这篇文章可能会引起关注空气污染及其对人类健康和环境影响的研究人员和政策制定者的兴趣。这篇文章的关键点是空气质量不仅受到交通的影响,还受到其他排放物的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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