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投稿时间:2024-10-11 修订日期:2025-11-28
投稿时间:2024-10-11 修订日期:2025-11-28
中文摘要: 基于地面气象和环境监测站数据、O3气象条件评估指数、O3来源解析产品和GDAS等资料,结合HYSPLIT模型等方法,分析了2019—2023年5—10月(暖季)陕西O3污染时空变化特征,定量评估了气象条件对O3浓度变化影响、O3生成的本地和传输贡献以及不同前体物贡献,并探讨了O3污染传输路径。结果表明:2022年暖季陕西O3污染最重,2020年最轻;O3浓度呈典型单峰型月际、日变化,月均峰值出现在6月,日最大值出现在15—16时(北京时,下同),最小值出现在07时;关中O3污染最重,且污染主要集中在喇叭口地形内侧,陕南最轻;2022年暖季陕西O3综合气象条件最差,这是导致2022年陕西O3污染最重的主要原因;2022年暖季陕西O3浓度较上一年同期增加了8.1%,其中气象条件贡献为7.7%;若排放源不变,2020年暖季陕西O3浓度应比2019年同期增加4.4%,但实际O3浓度减少了5.3%,体现了区域大气污染治理的积极成效;陕北O3综合气象条件最差,但关中O3浓度却最高,这主要与关中O3前体物的高排放以及区域输送有关;2023年暖季陕西O3浓度以前体物NOx影响为主,外来传输贡献大于本地贡献,以东南输送路径为主,其中,对陕西传输影响最大省份是河南和湖北,贡献分别为6%和4%。
中文关键词: O3污染,气象条件评估,源解析,区域传输,暖季
Abstract:Based on the data from meteorological and environmental monitoring stations, O3 meteorological condition evaluation index, O3 source apportionment products, GDAS and other data, combined with HYSPLIT model and other methods, the spatiotemporal variation characteristics of O3 pollution in Shaanxi Province from May to October (warm season) in 2019-2023 are analyzed. The impact of meteorological conditions on the changes of O3 concentration is quantitatively evaluated. At the same time, the contributions of local source, transport and different precursors to O3 pollution are quantitatively separated. Finally, the transport path of O3 pollution is explored. The results show that in the warm season of 2022, O3 pollution in Shaanxi was the heaviest, while in 2020 the pollution was the lightest. The O3 concentration showed a typical unimodal pattern in monthly and daily variations, with monthly peak occurring in June, daily peak appearing from 15:00 BT to 16:00 BT and daily minimum value at 07:00 BT. The O3 pollution in Guanzhong Region was the heaviest, mainly concentrated in the inner layer of the trumpet mouth terrain, whilst the O3 pollution was the lightest in southern Shaanxi. During the warm season of 2022, the O3 comprehensive meteorological conditions were the worst, which was the main reason for the heaviest O3 pollution in Shaanxi in 2022. So the O3 concentration in Shaanxi increased by 8.1% in 2022 compared to that in the previous year, and meteorological conditions contributed 7.7% to it. If the emission source remained unchanged, the O3 concentration in Shaanxi during the warm season of 2020 should have increased by 4.4% compared to that in 2019, but the observed O3 concentration decreased by 5.3%, which fully reflects the positive effects of regional air pollution control. The O3 comprehensive meteorological conditions in northern Shaanxi were the worst, but the O3 concentration in Guanzhong Region was the highest, which was mainly related to the high emissions of O3 precursors and regional transport in Guanzhong Region. In the warm season of 2023, the concentration of O3 in Shaanxi was mainly affected by precursor NOx, and the contribution of external transport was greater than local contribution. The main transport pathway was the southeast path, along which Henan and Hubei provinces had the greatest impact on the O3 transport in Shaanxi, contributing 6% and 4%, respectively.
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基金项目:国家重点研发计划(2024YFF0809004)、陕西“三秦英才”一流团队特殊支持计划项目、陕西省自然科学基础研究计划(2024JCYBMS217)、秦岭和黄土高原生态环境气象重点实验室开放研究基金课题(2023G2、2025G5)共同资助
| 作者 | 单位 |
| 高星星 | 陕西省气象台,西安 710014 中国气象局秦岭和黄土高原生态环境气象重点实验室,西安 710016 |
| 李双双 | 陕西省气象台,西安 710014 中国气象局秦岭和黄土高原生态环境气象重点实验室,西安 710016 |
| 张思楠 | 陕西省气象台,西安 710014 |
| 桂海林 | 国家气象中心,北京 100081 |
| 何卷雄 | 中国科学院大气物理研究所,北京 100029 |
引用文本:
高星星,李双双,张思楠,桂海林,何卷雄,2026.2019—2023年暖季陕西O3天气特征与来源解析[J].气象,52(2):204-215.
GAO Xingxing,LI Shuangshuang,ZHANG Sinan,GUI Hailin,HE Juanxiong,2026.Analysis on Characteristics and Sources of O3 Weather in Shaanxi Province in the Warm Season of 2019-2023[J].Meteor Mon,52(2):204-215.
高星星,李双双,张思楠,桂海林,何卷雄,2026.2019—2023年暖季陕西O3天气特征与来源解析[J].气象,52(2):204-215.
GAO Xingxing,LI Shuangshuang,ZHANG Sinan,GUI Hailin,HE Juanxiong,2026.Analysis on Characteristics and Sources of O3 Weather in Shaanxi Province in the Warm Season of 2019-2023[J].Meteor Mon,52(2):204-215.
