| 山东省O3污染概况及预报效果评估 |
| Pollution Characteristics and Evaluation on Predication Efforts of O3 in Shandong Province |
| 投稿时间：2022-08-31 修订日期：2023-11-12 |
| DOI：10.19316/j.issn.1002-6002.2024.02.12 |
| 中文关键词: 山东省 臭氧 模式 预报评估 |
| 英文关键词:Shandong Province O3 model forecast assessment |
| 基金项目:2020年度山东省自然科学基金重大基础研究项目(ZR2020ZD21);2021年度山东省自然科学基金面上项目(ZR2021MD013) |
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| 通讯作者:许杨* 山东省生态环境监测中心, 山东 济南 250101 |
| 摘要点击次数: 1272 |
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| 中文摘要: |
| 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。 |
| 英文摘要: |
| In this paper,the characteristics of O3 pollution in cities of Shandong Province from 2018 to 2021 were analyzed,and the O 3 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 WRFChem,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. |
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