马什哈德市空气质量指数测定及其与气象参数的关系

Z. Poormolaie, M. Mohammadi, M. Ghafoori, E. Khayyami
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引用次数: 1

摘要

本研究的目的是确定2014年马什哈德的空气质量指数(AQI)并调查其与气象参数的关系。本研究编制2014年马什哈德空气污染物瞬间浓度,计算AQI量,测定空气质量。然后在SPSSV.23软件中采用显著性水平为5%的Kruskal-Wallis检验和Mann-Whitney检验进行数据分析。最后,利用2014年气象参数相关数据,利用ARIMA时间序列模型和R软件(3.3.0)研究其与大气指数污染物在非延迟和一天延迟模式下的关系。结果表明,在维持社区成员,特别是敏感群体的健康方面,马什哈德的空气质量处于非常糟糕的状态,因为该城市的污染物浓度在研究期间的245天内高于伊朗标准(100)。PM2.5是研究中最重要的污染物。在气候参数中,温度和气压对大气污染物浓度的直接影响最大。此外,结果显示温度对空气污染物浓度的直接影响,尽管其他大气因素能够随着时间的推移和时间延迟(在本研究中为一天)显著影响结果。结果表明,模式计算的质量取决于大气参数的变化,因此可以根据气象数据对每种污染物进行定量测量。
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Determination of Air Quality Index and Its Relationship With Meteorological Parameters in City of Mashhad
The aim of this study was to determine the air quality index (AQI) and to investigate its relationship with meteorological parameters in Mashhad for 2014. In this study, moment concentrations of air pollutants in Mashhad for 2014 were prepared and the amount of AQI was calculated and air quality was determined. Then, data analysis was performed using Kruskal-Wallis and Mann-Whitney tests at a significant level of 5% in SPSSV.23 software. Finally, data related to meteorological parameters were prepared during 2014 and ARIMA time series model and R software (3.3.0) were used to investigate its relationship with air index pollutants in non- delayed and one day late modes. The results showed that air quality of Mashhad was in a very bad condition in terms of maintaining the health of community members, especially sensitive groups, as the concentration of pollutants in this city was higher than Iranian standard (100) in 245 days of the study period. The PM2.5 was the most important pollutant during the study. It was also found that among the climatic parameters, temperature and pressure have the greatest direct effect on the concentration of air pollutants. Moreover, results showed the immediate effect of temperature on the concentration of air pollutants, although other atmospheric elements are able to significantly affect the outcome over time and with a time delay (one day in this study). The results indicated that quality of model computation depends on changes in atmospheric parameters, so that a quantitative measurement for each pollutant can be achieved based on meteorological data.
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