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空气质量监测网络的优化设计及其在炼油厂的应用:一种维护工人健康状况的方法

Optimal Design of Air Quality Monitoring Network and its Application in an Oil Refinery Plant: An Approach to Keep Health Status of Workers.

作者信息

ZoroufchiBenis Khaled, Fatehifar Esmaeil, Ahmadi Javad, Rouhi Alireza

机构信息

Environmental Engineering Research Center, Faculty of Chemical Engineering, Sahand University of Technology, Tabriz, Iran.

出版信息

Health Promot Perspect. 2016 Jan 30;5(4):269-79. doi: 10.15171/hpp.2015.032. eCollection 2015.

DOI:10.15171/hpp.2015.032
PMID:26933646
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4772797/
Abstract

BACKGROUND

Industrial air pollution is a growing challenge to humane health, especially in developing countries, where there is no systematic monitoring of air pollution. Given the importance of the availability of valid information on population exposure to air pollutants, it is important to design an optimal Air Quality Monitoring Network (AQMN) for assessing population exposure to air pollution and predicting the magnitude of the health risks to the population.

METHODS

A multi-pollutant method (implemented as a MATLAB program) was explored for configur-ing an AQMN to detect the highest level of pollution around an oil refinery plant. The method ranks potential monitoring sites (grids) according to their ability to represent the ambient concentration. The term of cluster of contiguous grids that exceed a threshold value was used to calculate the Station Dosage. Selection of the best configuration of AQMN was done based on the ratio of a sta-tion's dosage to the total dosage in the network.

RESULTS

Six monitoring stations were needed to detect the pollutants concentrations around the study area for estimating the level and distribution of exposure in the population with total network efficiency of about 99%. An analysis of the design procedure showed that wind regimes have greatest effect on the location of monitoring stations.

CONCLUSION

The optimal AQMN enables authorities to implement an effective program of air quality management for protecting human health.

摘要

背景

工业空气污染对人类健康构成了日益严峻的挑战,尤其是在发展中国家,那里缺乏对空气污染的系统监测。鉴于获取有关人群暴露于空气污染物的有效信息的重要性,设计一个优化的空气质量监测网络(AQMN)对于评估人群暴露于空气污染的情况以及预测对人群健康风险的程度至关重要。

方法

探索了一种多污染物方法(以MATLAB程序实现)来配置一个AQMN,以检测炼油厂周围的最高污染水平。该方法根据潜在监测站点(网格)代表环境浓度的能力对其进行排名。使用超过阈值的相邻网格簇的术语来计算站点剂量。基于站点剂量与网络总剂量的比率来选择AQMN的最佳配置。

结果

需要六个监测站来检测研究区域周围的污染物浓度,以估计人群中的暴露水平和分布,网络总效率约为99%。对设计程序的分析表明,风况对监测站的位置影响最大。

结论

优化的AQMN使当局能够实施有效的空气质量管理制度,以保护人类健康。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa4e/4772797/b70ea0fe589b/HPP-5-269-g008.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa4e/4772797/d20e3ba6f86c/HPP-5-269-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa4e/4772797/d602972c9686/HPP-5-269-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa4e/4772797/b70ea0fe589b/HPP-5-269-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa4e/4772797/d6351ccdf219/HPP-5-269-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa4e/4772797/4ea8f419ad0a/HPP-5-269-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa4e/4772797/d4a5e7e8a294/HPP-5-269-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa4e/4772797/50bfeab9766a/HPP-5-269-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa4e/4772797/f42634ac74ea/HPP-5-269-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa4e/4772797/d20e3ba6f86c/HPP-5-269-g006.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa4e/4772797/b70ea0fe589b/HPP-5-269-g008.jpg

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