确定处于危险中的社区的方法学方法:在色彩节期间追踪空气污染物的轨迹分散模型

Sneha Gautam, Blessy A, Roshini Praveen Kumar
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引用次数: 3

摘要

在本研究中,我们通过分析住院数据来观察生活在各自研究区域的人们所经历的健康影响。关于空气污染物与住院人数之间关系的有限研究已有。拟议的研究是先前发表的一篇文章的扩展版本,该文章于2019年在色彩节-“胡里节”期间进行,在整个节日中使用的颜色很普遍。采用离子色谱仪对细颗粒进行监测和离子浓度分析。在细颗粒中获得的重要阴离子(硫酸盐、硝酸盐和氯化物)和阳离子(钠、钾和镁)高于允许的限度。收集的数据显示,在胡里节之后,住院人数增加了0.7%。引入了弥散模型和轨迹分析来了解洒红节前、洒红节后和洒红节期间空气污染物的弥散。因此,很明显,胡里节可能会造成空气污染,从而导致严重的健康危害。
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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A methodological approach to identify communities at risk: Trajectory dispersion models to trace air pollutants during colour festival

In this study, we observe the health effects experienced by the people living in that respective study area by analyzing the hospital admission data. A limited study on the association between air pollutants and the number of hospital admissions is available. The proposed research is an extended version of a previously published article, performed in the year 2019 during the color festival - "Holi”, the colors used are widespread throughout the festival. Fine particles were monitored and their ion concentrations were analyzed by ion chromatograph. The significant anions (sulphate, nitrate, and chloride) and cations (sodium, potassium, and magnesium) were obtained in fine particles which were higher than the permissible limits. The collected data shows a 0.7% of the increase in hospital admissions after Holi. Dispersion modeling and trajectory analysis have been introduced to understand the dispersion of air pollutants during pre-holi, holi and post-holi. Thus, it is evident that the Holi festival potentially contributes to air pollution, which leads to serious health hazards.

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来源期刊
Hygiene and environmental health advances
Hygiene and environmental health advances Environmental Science (General)
CiteScore
1.10
自引率
0.00%
发文量
0
审稿时长
38 days
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