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通过扩散模型对城市地区颗粒物浓度进行精细分辨率绘图及人口暴露分析:以韩国大田为例的研究。

Fine-resolution mapping of particulate matter concentration in urban areas and population exposure analysis via dispersion modeling: a study in Daejeon, South Korea.

机构信息

Department of Land and Water Environment Research, Korea Environment Institute, 1016 Bldg B, 370 Sicheong-daero, Sejong, 30147, Republic of Korea.

Research Department, Siteplanning Architect Co., Ltd., Busan, South Korea.

出版信息

Environ Sci Pollut Res Int. 2019 Jun;26(16):15857-15871. doi: 10.1007/s11356-019-04772-4. Epub 2019 Apr 6.

DOI:10.1007/s11356-019-04772-4
PMID:30955199
Abstract

To deliver accurate particulate matter information to citizens, a detailed particulate matter dispersion model including factors such as land use and meteorological information was developed and used to create particulate matter concentration distribution maps for Daejeon Metropolitan City (South Korea). The results showed differences from existing particulate matter concentration distribution maps created using established methods. For PM2.5, approximately 3600 concentration maps were constructed. Taking a map as an example, according to existing methods, the PM2.5 concentration was "good" in 56% and "moderate" in 44% of areas. However, according to our modeling, the PM2.5 concentration was good in 31%, moderate in 26%, "unhealthy" in 28%, and "very unhealthy" in 15% of areas. Furthermore, the existing methods indicated that no portion of the population was exposed to poor particulate matter concentrations, while the proposed model found that over 170,000 people were exposed to such concentrations. These results will contribute to sustainable urban and environmental planning.

摘要

为了向市民提供准确的颗粒物信息,开发并使用了一个包含土地利用和气象信息等因素的详细颗粒物扩散模型,为大田广域市(韩国)创建了颗粒物浓度分布地图。结果与使用现有方法创建的现有颗粒物浓度分布地图存在差异。对于 PM2.5,构建了大约 3600 个浓度图。以一张地图为例,根据现有方法,56%的区域 PM2.5 浓度为“良好”,44%的区域 PM2.5 浓度为“中等”。但是,根据我们的建模,PM2.5 浓度良好的区域为 31%,中等的区域为 26%,“不健康”的区域为 28%,“非常不健康”的区域为 15%。此外,现有方法表明没有任何一部分人口暴露在较差的颗粒物浓度下,而所提出的模型发现超过 170000 人暴露在这种浓度下。这些结果将有助于可持续的城市和环境规划。

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