汪水兵,刘桂建,张红,洪星园,杨鹏,陈建,卫尤文.安徽省臭氧污染时空变化及污染成因研究[J].装备环境工程,2021,18(8):124-130. WANG Shui-bing,LIU Gui-jian,ZHANG Hong,HONG Xing-yuan,YANG Peng,CHEN Jian,WEI You-wen.Study on the Temporal and Spatial Variation of Ozone Pollution and its Causes in Anhui Province[J].Equipment Environmental Engineering,2021,18(8):124-130. |
安徽省臭氧污染时空变化及污染成因研究 |
Study on the Temporal and Spatial Variation of Ozone Pollution and its Causes in Anhui Province |
投稿时间:2020-12-24 修订日期:2021-03-16 |
DOI:10.7643/issn.1672-9242.2021.08.020 |
中文关键词: 臭氧 气象要素 空气质量监测 空气质量指数中图分类号:X821 文献标识码:A 文章编号:1672-9242(2021)08-0124-07 |
英文关键词:ozone, meteorological elements, cause of pollution |
基金项目:安徽省省级环保科研课题(201702),安徽省重点研究与开发计划(1804a0802196),国家重点研发计划课题(2018YFC0213803、06) |
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Author | Institution |
WANG Shui-bing | School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, China.;Anhui Research Academy of Environmental Sciences, Hefei 230071, China |
LIU Gui-jian | School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, China. |
ZHANG Hong | Anhui Research Academy of Environmental Sciences, Hefei 230071, China |
HONG Xing-yuan | Anhui Research Academy of Environmental Sciences, Hefei 230071, China |
YANG Peng | Anhui Research Academy of Environmental Sciences, Hefei 230071, China |
CHEN Jian | Anhui Research Academy of Environmental Sciences, Hefei 230071, China |
WEI You-wen | Anhui Research Academy of Environmental Sciences, Hefei 230071, China |
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中文摘要: |
目的 了解安徽省臭氧时空分布特征及其与气象要素的关系。方法 利用2017—2019年环境空气质量监测的臭氧数据和气象观测数据,并结合后向轨迹模型和潜在源区分析,分别评价安徽省臭氧污染区域分布和气象要素对臭氧浓度的影响,并分析区域传输对安徽省臭氧浓度的影响。结果 2017—2019年安徽省及各市臭氧浓度增长显著,2019年同比2017年增幅为12.2%,第二季度(4、5、6月)和第三季度(7、8、9月)是O3浓度相对较高的时期,且O3污染有“前移后滞”趋势。污染气团主要来自于安徽省内部地区,潜在源分布显示,皖中地区(合肥、安庆、马鞍山等城市)的贡献比例最大,外地源贡献主要来源于江苏省和山东省等。臭氧浓度与温度和太阳总辐射强度呈正相关,与降水量和相对湿度呈负相关,与风速关联性不大。结论 安徽省臭氧污染逐年增加的主要原因是本地排放的加剧,外源输送可能会产生一定影响,加之高温和强太阳辐射的影响,会加剧臭氧污染的程度,并导致重污染。 |
英文摘要: |
In order to explore the temporal and spatial distribution characteristics of ozone and its impact on meteorological factors in Anhui Province, we use the ozone data and meteorological observation data of ambient air quality monitoring from 2017 to 2019, combined with HYSPLIT(Hybrid Single Particle Lagrangian Integrated Trajectory) model and PSCF( Potential Source Area Analysis), respectively evaluates the regional distribution of ozone pollution and the impact of meteorological factors on ozone concentration in Anhui province, and analyze the impact of regional transmission on ozone concentration in Anhui province. The results show that:from 2017 to 2019, the ozone concentration in Anhui province increased significantly, with a year-on-year increase of 12.2%. The second quarter (April, May and June) and the third quarter (July, August and September) are periods with relatively high ozone concentration. The results show that the air pollution mainly comes from the inner part of Anhui province, while the potential source distribution shows that the contribution of air pollution mainly comes from the midland (Hefei, Anqing, Ma’anshan, etc.), and other sources were mainly from Jiangsu and Shandong provinces. Ozone concentration is positively correlated with temperature and total solar radiation intensity, negatively correlated with precipitation and relative humidity, and has little correlation with wind speed.. The results show that the increase of ozone pollution in Anhui province is mainly due to the aggravation of local emissions, and the external transport may have a certain influence. In addition, the impact of high temperature and strong solar radiation will aggravate the degree of ozone pollution and lead to heavy pollution. |
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