[2019年秋季海南省四种臭氧污染过程特征及潜在污染源]。

Chuan-Bo Fu, Hong Chen, Li Dan, Wen-Shuai Xu
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引用次数: 0

摘要

基于海南省2019年秋季空气质量和气象监测数据,采用相关分析、HYSPLIT反向轨迹建模、潜在源贡献函数PSCF和浓度加权轨迹CWT等方法,分析了海南省4种O3污染过程的特征和潜在源。结果表明:①工艺1和工艺3最大8h平均值(O3-8h)的平均浓度分别为145.52 μg·m-3和143.55 μg·m-3,分别发生在9月21 ~ 30日和11月3 ~ 11日,持续时间为10 d和9 d;过程2和过程4分别发生在10月18日至21日和11月20日至25日,持续时间分别为4 d和6 d, O3-8h的平均浓度分别为130.79和115.46 μg·m-3。②高气压、低降水和相对湿度、日照时数长、强太阳辐射有利于海南省臭氧污染天气的发生。偏北风有利于臭氧-8h浓度的增加,风速影响海南省臭氧-8h浓度高值区的区域分布。③污染较严重的过程1和过程3的气流散度较大,有两个气流分别发源于内陆和东南沿海地区。过程2和过程4气流相对集中,O3污染较少,属于东南沿海气流。4潜在贡献源分析显示,2019年秋季,浙江、江西、福建和广东的交通运输是海南省O3污染的主要来源。其中,珠三角和粤西地区的权势源贡献函数(WPSCF)和权浓度加权轨迹(WCWT)值分别大于0.36和90 μg·m-3。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Characteristics and Potential Sources of Four Ozone Pollution Processes in Hainan Province in Autumn of 2019].

Based on the air quality and meteorological monitoring data of Hainan province in autumn of 2019, this study analyzed the characteristics and potential sources for the four O3 polluted processes in Hainan province, using the methods of correlation analysis, HYSPLIT backward trajectory modeling, PSCF (potential source contribution function), and CWT (concentration weighted-trajectory). The results showed that ① the average concentrations of the maximum 8h average (O3-8h) for process 1 and process 3, which occurred from September 21st to 30th and November 3rd to 11th with the durations of 10 d and 9 d, were 145.52 μg·m-3 and 143.55 μg·m-3, respectively. Process 2 and process 4 occurred from October 18th to 21st and November 20th to 25th, with the durations of 4 d and 6 d, and the average concentrations of O3-8h were 130.79 μg·m-3 and 115.46 μg·m-3, respectively. ② High air pressure, low precipitation and relative humidity, long sunshine duration, and strong solar radiation favored the occurrence of O3-polluted weather in Hainan province. Northerly wind was conducive to the increase in O3-8h concentration, and wind speeds affected the regional distribution of high-value areas of O3-8h concentration in Hainan province. ③ Furthermore, process 1 and process 3 with more serious pollution had a larger air flow divergence, and there were two airflows originating from the inland area and the southeast coastal area, respectively. Air flow of process 2 and process 4 was relatively more concentrated with less O3 pollution and was classified as southeast coastal air flow. 4 The analysis of potential contribution sources showed that transport from Zhejiang, Jiangxi, Fujian, and Guangdong provinces were the main sources of O3 pollution in Hainan province in autumn 2019. Among them, the weight potential source contribution function (WPSCF) and weight concentration weighted-trajectory (WCWT) values were larger than 0.36 and 90 μg·m-3 in the PRD (Pearl River Delta) and western Guangdong province regions, respectively.

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