| 银川城市公园气象及大气污染物对臭氧影响机制 |
| 摘要点击 2417 全文点击 456 投稿时间：2023-09-20 修订日期：2023-12-01 |
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| 中文关键词 臭氧（O3） 气象要素 大气污染物 结构方程模型 影响机制 |
| 英文关键词 ozone（O3） meteorological elements air pollutants structural equation model influencing mechanism |
| 作者 | 单位 | E-mail | | 王聪慧 | 宁夏大学生态环境学院, 西北土地退化与生态恢复省部共建国家重点实验室培育基地, 银川 750021
宁夏银川城市生态系统国家定位站, 银川 750021 | wangch4236@163.com | | 施光耀 | 宁夏大学生态环境学院, 西北土地退化与生态恢复省部共建国家重点实验室培育基地, 银川 750021
宁夏银川城市生态系统国家定位站, 银川 750021 | shiguangyao@nxu.edu.cn | | 杨思琪 | 宁夏大学生态环境学院, 西北土地退化与生态恢复省部共建国家重点实验室培育基地, 银川 750021
宁夏银川城市生态系统国家定位站, 银川 750021 | | | 倪细炉 | 宁夏大学生态环境学院, 西北土地退化与生态恢复省部共建国家重点实验室培育基地, 银川 750021
宁夏银川城市生态系统国家定位站, 银川 750021 | | | 杨丽蓉 | 银川市生态环境监测站, 银川 750001 | | | 纪丽萍 | 宁夏国有林场和林木种苗工作总站, 银川 750010 | |
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| 中文摘要 |
| 为探明银川市城市公园不同季节影响臭氧（O3）的关键因子,阐明高海拔地区气象要素和大气污染物对O3的影响机制及其贡献率.基于宁夏银川城市生态系统国家定位研究站长期定位观测获取O3、 气象要素和大气污染物等数据,利用皮尔逊相关分析和结构方程模型等方法,研究O3的时空分布格局、 变化趋势及关键影响因子.结果表明,银川市城市公园O3季节差异显著,呈现“单峰型”,夏季ρ（O3）达到峰值（131.18 μg·m-3）,冬季ρ（O3）最低（71.45 μg·m-3）.气象要素中温度和风速对O3影响最大,温度主要以直接效应为主,风速主要以间接效应为主,大气污染物中NOx和SO2对O3影响最大,主要以直接效应为主.春季和夏季影响O3的关键因子为风速,贡献率为29%和24.7%,秋季和冬季影响O3的关键因子为NO2,贡献率为26.6%和29.7%.因此,基于结构方程模型可以较好地阐明不同季节间影响O3的关键因子,可为高海拔地区O3的防治提供科学有效地理论依据和技术支撑. |
| 英文摘要 |
| To examine the underlying determinants of ozone （O3） in Yinchuan's urban park during varying seasons and to ascertain the role played by meteorological events and air contaminants in influencing O3 concentrations at high altitudes, data on O3, meteorological factors, and air pollutants were collected through prolonged positional observations carried out at the Ningxia Yinchuan National Urban Ecosystem Research Station. Pearson correlation analysis and a structural equation model were utilized to investigate the spatio-temporal distribution patterns, trends, and the primary factors influencing O3. The findings demonstrated a notable seasonal variability in O3 levels in Yinchuan's urban park, displaying an “unimodal type” with the O3 concentration peaking in summer （131.18 μg·m-3） and bottoming out in winter （71.45 μg·m-3）. Among the meteorological factors, the highest impact on O3 was attributed to temperature and wind speed （temperature mainly through direct effects and wind speed mainly through indirect effects）. Conversely, air pollutants such as NOx and SO2 greatly affected O3 primarily through direct effects. Wind speed was identified as the primary influencing factor on O3 during spring and summer, potentially contributing 29% and 24.7%, respectively. Conversely, NO2 was implicated as the primary factor during autumn and winter, with an estimated contribution of 26.6% and 29.7%, respectively. Thus, a structural equation model can efficiently reveal the primary determinants behind O3 variations throughout various seasons, which could furnish a scientifically rigorous foundation and technical aid for mitigating and managing O3 levels in high-altitude regions. |
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