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山东省O3污染概况及预报效果评估

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对山东省各市 2018-2021 年的O3 污染特征进行了分析,并对 2021 年 5-9 月O3 污染较重月份空气质量模型的O3 预报结果进行了分析评估.结果表明:山东省 2018-2021 年 O3-8 h第 90 百分位数(O3-8 h-90per)先升高后降低,O3污染呈现波动变化,污染月主要集中在 5-9 月,并呈现内陆高、沿海低,中北部高、南部低的空间分布特征.集合预报模式对O3 模拟效果最好,预测结果与O3 监测值的相关性最大、偏差最小,但较难预测出O3 的峰值浓度,易漏报O3 重度污染.WRF-Chem、CMAQ、CAMx、NAQPMS对 O3 的模拟效果比集合预报稍差,CMAQ、CAMx存在系统性偏低的情况,但对优级别的模拟效果明显好于其他模式;WRF-Chem、NAQPMS存在系统性偏高的情况,WRF-Chem 能较好地模拟出 O3 超标日,对中度、重度日的 24h级别准确率分别达 94.08%、100%,对 O3 超标预报尤其是中至重度污染的预测预报有重要指导意义.
Pollution Characteristics and Evaluation on Predication Efforts of O3 in Shandong Province
In this paper,the characteristics of O3 pollution in cities of Shandong Province from 2018 to 2021 were analyzed,and the O3 forecast results of the air quality models in the months with heavier O3 pollution from May to September 2021 were analyzed and evaluated.The results showed that the average annual concentration of O3-8 h(90th 90th percentile)increased first and then decreased in Shandong Province from 2018 to 2021,while O3 pollution fluctuated.The pollution months were mainly from May to September,and the spatial distribution characteristics were"higher in inland,lower in coastal areas",and"higher in central and northern areas,and lower in southern areas".The Ensemble Forecast Model had the best effect on O3 simulation,and its forecasting results had the largest correlation with O3 monitoring values and the minimum deviation.However,it was difficult to predict the peak concentration of O3,and it was easy to miss the report of severe O3 pollution.The simulation effects of WRF-Chem,CMAQ,CAMx and NAQPMS on O3 were slightly worse than that of Ensemble Forecast Model.The simulation effect of CMAQ and CAMx on the days of excellent air quality was obviously better than other models,but their forecast results were systematically lower.However,the forecast results of WRF-Chem and NAQPMS were systematically higher.WRF-Chem could better simulate the days when O3 exceeding the standard,and its 24-hour accuracy on days of moderate and severe air quality was 94.08%and 100%,which was important on guiding the forecast of O3 exceeding the standard,especially of moderate to severe pollution.

Shandong ProvinceO3modelforecast assessment

王桂霞、解军、丁椿、张淼、王昌伟、王妍然、许杨

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山东省生态环境监测中心,山东 济南 250101

中科三清科技有限公司,北京 100029

山东省 臭氧 模式 预报评估

山东省自然科学基金重大基础研究项目(2020)山东省自然科学基金面上项目(2021)

ZR2020ZD21ZR2021MD013

2024

中国环境监测
中国环境监测总站

中国环境监测

CSTPCD北大核心
影响因子:1.761
ISSN:1002-6002
年,卷(期):2024.40(2)
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