利用 MM5-CMAQ 模式分析中国珠江三角洲地区区域性空气污染事件的过程。

Process analysis of a regional air pollution episode over Pearl River Delta region, China, using the MM5-CMAQ model.

出版信息

J Air Waste Manag Assoc. 2014 Apr;64(4):406-18. doi: 10.1080/10962247.2013.816387.

Abstract

UNLABELLED

This study focuses on the influences of a warm high-pressure meteorological system on aerosol pollutants, employing the simulations by the Models-3/CMAQ system and the observations collected during October 10-12, 2004, over the Pearl River Delta (PRD) region. The results show that the spatial distributions of air pollutants are generally circular near Guangzhou and Foshan, which are cities with high emissions rates. The primary pollutant is particulate matter (PM) over the PRD. MM5 shows reasonable performance for major meteorological variables (i.e., temperature, relative humidity, wind direction) with normalized mean biases (NMB) of 4.5-38.8% and for their time series. CMAQ can capture one peak of all air pollutant concentrations on October 11, but misses other peaks. The CMAQ model systematically underpredicts the mass concentrations of all air pollutants. Compared with chemical observations, SO2 and O3 are predicted well with a correlation coefficient of 0.70 and 0.65. PM2.5 and NO are significantly underpredicted with an NMB of 43% and 90%, respectively. The process analysis results show that the emission, dry deposition, horizontal transport, and vertical transport are four main processes affecting air pollutants. The contributions of each physical process are different for the various pollutants. The most important process for PM10 is dry deposition, and for NO(x) it is transport. The contributions of horizontal and vertical transport processes vary during the period, but these two processes mostly contribute to the removal of air pollutants at Guangzhou city, whose emissions are high. For this high-pressure case, the contributions of the various processes show high correlations in cities with the similar geographical attributes. According to the statistical results, cities in the PRD region are divided into four groups with different features. The contributions from local and nonlocal emission sources are discussed in different groups.

IMPLICATIONS

The characteristics of aerosol pollution episodes are intensively studied in this work using the high-resolution modeling system MM5/SMOKE/CMAQ, with special efforts on examining the contributions of different physical and chemical processes to air concentrations for each city over the PRD region by a process analysis method, so as to provide a scientific basis for understanding the formation mechanism of regional aerosol pollution under the high-pressure system over PRD.

摘要

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本研究关注的是暖高压气象系统对气溶胶污染物的影响,采用 Models-3/CMAQ 系统模拟和 2004 年 10 月 10 日至 12 日在珠江三角洲(PRD)地区的观测结果。结果表明,在广州和佛山等排放率较高的城市附近,污染物的空间分布大致呈圆形。PRD 的首要污染物是颗粒物(PM)。MM5 对主要气象变量(即温度、相对湿度、风向)的表现较好,归一化平均偏差(NMB)为 4.5-38.8%,时间序列也较好。CMAQ 可以捕捉到 10 月 11 日所有空气污染物浓度的一个峰值,但错过了其他峰值。CMAQ 模型系统地低估了所有空气污染物的质量浓度。与化学观测相比,SO2 和 O3 的预测结果较好,相关系数分别为 0.70 和 0.65。PM2.5 和 NO 的预测结果明显偏低,NMB 分别为 43%和 90%。过程分析结果表明,排放、干沉降、水平输送和垂直输送是影响空气污染物的四个主要过程。对于不同的污染物,各个物理过程的贡献是不同的。PM10 最重要的过程是干沉降,而对于 NO(x),最重要的过程是输送。在这段时间内,水平和垂直输送过程的贡献发生了变化,但这两个过程主要有助于去除广州等高排放城市的空气污染物。对于这种高压情况,具有相似地理属性的城市的各个过程的贡献具有很高的相关性。根据统计结果,将珠江三角洲地区的城市分为具有不同特征的四个组,并在不同组中讨论了本地和非本地排放源的贡献。

意义

本工作采用高分辨率模拟系统 MM5/SMOKE/CMAQ 对气溶胶污染事件的特征进行了深入研究,特别努力通过过程分析方法检查每个城市的不同物理和化学过程对空气质量的贡献,为理解 PRD 地区高压系统下区域气溶胶污染的形成机制提供科学依据。

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