| 2000—2022年渭南市近地面O3时空分布特征及气象因子影响分析 |
| Spatiotemporal Distribution Characteristics of Near-Surface Ozone and It's Meteorological Drivers in Weinan City from 2000 to 2022 |
| 投稿时间：2024-04-22 修订日期：2024-07-10 |
| DOI：10.19316/j.issn.1002-6002.2025.04.09 |
| 中文关键词: O3浓度 气象因子 随机森林回归 渭南市 |
| 英文关键词:O3 concentration meteorological factors random forest regression Weinan City |
| 基金项目:陕西省教育厅科学研究计划项目(18JS037);渭南市科技局重点研发计划项目(2023ZDYFJH-237) |
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| 中文摘要: |
| O3污染是制约渭南市环境空气质量持续改善的关键因素之一。气象因子显著影响O3浓度,可能导致其超过国家规定的安全标准,因而探究气象因子与O3浓度的关系对有效控制和管理O3污染至关重要。基于中国高分辨率高质量近地表空气污染物数据集(CHAP)中的2000—2022年近地表最大8 h滑动平均O3浓度数据,采用Mann-Kendall趋势检验法和随机森林回归模型揭示渭南市O3浓度时空演变特征及其对气象因子的响应机制。结果表明,2000—2022年,渭南市O3年均浓度呈上升趋势,增速为1.28 μg/(m3·a)。O3月均浓度变化呈倒“V”形单峰曲线,月均浓度峰值和月超标天数峰值均出现于6月。2000—2022年,渭南市O3平均浓度整体呈北部高、南部低的空间分布格局。气象因子中,风向、降水量、风速、气温与O3浓度呈显著正相关,相对湿度与O3浓度呈显著负相关。随机森林回归分析结果显示,相对湿度(37.91%)、风向(22.68%)、风速(16.64%)、气温(11.49%)和降水量(11.27%)是影响渭南市O3污染程度的主要气象因素。 |
| 英文摘要: |
| Ozone (O3) pollution is one of the key factors restricting the continuous improvement of ambient air quality in Weinan City.Meteorological factors significantly influence O3 concentrations and may cause exceedances of national safety standards.Exploring the relationship between meteorological factors and O3 concentrations is crucial for the effective control and management of O3 pollution.Based on the near-surface maximum 8-hour moving average O3 concentrations data from 2000 to 2022 provided by China High-Resolution and High-Quality Near-Surface Air Pollutant Dataset (CHAP),the Mann-Kendall trend test and random forest regression model were used to reveal the spatiotemporal evolution of O3 concentrations and its response mechanisms to meteorological factors in Weinan City.The results indicated that the annual average O3 concentration in Weinan City increased over time,with an average annual increase of 1.28 μg/(m3·a).The monthly average O3 concentrations exhibited an inverted V-shaped single-peak curve,with the peak monthly average concentrations and the highest number of exceedance days occurring in June.From 2000 to 2022,the annual average O3 concentrations generally exhibited a spatial distribution pattern of being higher in the north and lower in the south.Among the meteorological factors,wind direction,precipitation,wind speed,and temperature were significantly positively correlated with O3 concentrations,while relative humidity was significantly negatively correlated.The random forest regression analysis further confirmed the importance of meteorological factors,with relative humidity (37.91%),wind direction (22.68%),wind speed (16.64%),temperature (11.49%),and precipitation (11.27%) being the main meteorological drivers of O3 pollution in Weinan City. |
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