[海南岛 PM2.5 污染的特征、影响因素和潜在来源]。

Q2 Environmental Science
Chuan-Bo Fu, Jia-Xiang Tang, Li Dan, Jin-He Tong
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引用次数: 0

摘要

基于海南岛2015-2021年环境监测数据和气象观测数据,采用后向轨迹模拟、聚类分析、潜在源分析函数(PSCF)和浓度权重轨迹(CWT)等方法,分析了海南岛PM2.5污染特征、影响因素和潜在成因区域。方法。结果表明,海南岛PM2.5具有明显的季节性变化,冬季最高(22.6 μg-m-3),秋季和春季次之(分别为17.38和16.53 μg-m-3),夏季最低(9.79 μg-m-3)。近 7 年,海南岛 PM2.5 浓度超标天数为 30 天。PM2.5年均值和四季均值呈显著下降趋势,气候变化率分别为-0.97(年均值)、-1.09(春季)、-0.61(夏季)、-0.83(秋季)和-1.25(冬季)。μg-(m3-a)-1。海南岛的PM2.5与气态污染物高度相关,相关系数分别为0.471(SO2)、0.633(NO2)、0.479(CO)和0.773(O3-8h),显著性水平均为0.01。PM2.5 与平均风速和气压呈正相关,与降水、相对湿度、日照时间、平均气温和太阳辐射总量呈负相关。其中,平均气温、相对湿度和太阳辐射总量是海南岛 PM2.5 的主要主导气象因子。后向轨迹和潜在源分析表明,PM2.5浓度在冬季和秋季较高(≥20 μg-m-3)。而福建、浙江、湖南、江西、广东、广西等省是海南岛 PM2.5 的主要潜在来源地。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Characteristics, Impact Factors and Potential Sources of PM2.5 Pollution for Hainan Island].

Based on the environmental monitoring data and meteorological observational data in Hainan Island from 2015 to 2021, the PM2.5-polluted characteristics, influencing factors, and potential contributing regions were analyzed using the backward trajectory simulation, cluster analysis, potential source analysis function (PSCF), and concentration weight trajectory (CWT) methods. The results showed that PM2.5 in Hainan Island had an obvious seasonal variation, with the highest in winter (22.6 μg·m-3), followed by that in autumn and spring (17.38 and 16.53 μg·m-3, respectively), with the lowest in summer (9.79 μg·m-3). In the past seven years, there were 30 days in Hainan Island in which PM2.5 concentration exceeded the standard. The annual average and four seasons of PM2.5 showed a significant downward trend, and the climatic change rates were -0.97 (annual mean), -1.09 (spring), -0.61 (summer), -0.83 (autumn), and -1.25 (winter) μg·(m3·a)-1. PM2.5 in Hainan Island was highly correlated with gaseous pollutants, with correlation coefficients of 0.471 (SO2), 0.633 (NO2), 0.479 (CO), and 0.773 (O3-8h), all passing a significance level of 0.01. PM2.5 was positively correlated with average wind speed and atmospheric pressure and negatively correlated with precipitation, relative humidity, sunshine duration, average temperature, and total solar radiation. Among them, average temperature, relative humidity, and total solar radiation were the main dominant meteorological factors on PM2.5 in Hainan Island. Backward trajectory and potential source analysis revealed that PM2.5 concentration was high (≥20 μg·m-3) in winter and autumn, which was influenced by airflow from inland regions, and Fujian, Zhejiang, Hunan, Jiangxi, Guangdong, and Guangxi provinces were the main potential sources of PM2.5 in Hainan Island.

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来源期刊
Huanjing Kexue/Environmental Science
Huanjing Kexue/Environmental Science Environmental Science-Environmental Science (all)
CiteScore
4.40
自引率
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15329
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