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建立空气污染的区域性浓度-持续时间-频率关系:以 PM. 为例的案例研究。

Establishment of Regional Concentration-Duration-Frequency Relationships of Air Pollution: A Case Study for PM.

机构信息

Department of Geomatics, National Cheng Kung University, Tainan 70101, Taiwan.

出版信息

Int J Environ Res Public Health. 2020 Feb 22;17(4):1419. doi: 10.3390/ijerph17041419.

Abstract

Poor air quality usually leads to PM warnings and affects human health. The impact of frequency and duration of extreme air quality has received considerable attention. The extreme concentration of air pollution is related to its duration and annual frequency of occurrence known as concentration-duration-frequency (CDF) relationships. However, the CDF formulas are empirical equations representing the relationship between the maximum concentration as a dependent variable and other parameters of interest, i.e., duration and annual frequency of occurrence. As a basis for deducing the extreme CDF relationship of PM, the function assumes that the extreme concentration is related to the duration and frequency. In addition, the spatial pattern estimation of extreme PM is identified. The regional CDF identifies the regional extreme concentration with a specified duration and return period. The spatial pattern of extreme air pollution over 8 h duration shows the hotspots of air quality in the central and southwestern areas. Central and southwestern Taiwan is at high risk of exposure to air pollution. Use of the regional CDF analysis is highly recommended for efficient design of air quality management and control.

摘要

空气质量差通常会导致 PM 预警,并影响人类健康。极端空气质量的频率和持续时间的影响受到了相当多的关注。空气污染的极端浓度与其持续时间和年发生频率有关,这被称为浓度-持续时间-频率(CDF)关系。然而,CDF 公式是经验方程,代表了最大浓度作为因变量与其他感兴趣参数(即持续时间和年发生频率)之间的关系。作为推导出 PM 极端 CDF 关系的基础,该函数假设极端浓度与持续时间和频率有关。此外,还确定了极端 PM 的空间格局估计。区域 CDF 确定了具有指定持续时间和重现期的区域极端浓度。8 小时持续时间的极端空气污染的空间格局显示了中南部地区空气质量的热点。台湾中部和西南部面临着暴露在空气污染中的高风险。强烈建议使用区域 CDF 分析来高效设计空气质量管理和控制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1870/7068585/580cbe6eff4d/ijerph-17-01419-g0A1.jpg

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