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基于统计建模的臭氧生产调查在中国济南

Bingyan Dong¹, Bo Liu¹, Guiqin Zhang²

¹School of Science, Shandong Jianzhu University, Jinan, China.

Environmental monitoring and assessment

|December 11, 2025

概括

济南济南是一个

科学领域:

大气化学和环境科学.
空气质量监测和分析.

背景情况:

济南的臭氧 (O3) 度显示,随着季节性变化,臭氧 (O3) 度呈上升趋势.
了解O3污染的驱动因素对于有效的控制策略至关重要.

研究的目的:

分析气象因素和大气污染物对济南O3度的影响.
确定O3超值事件的关键驱动因素,阐明化学形成机制.
为有针对性的O3污染控制提供科学基础.

主要方法:

2017-2023年每日O3数据的统计分析.
海平面压力场分类的聚合层次分类.
极端梯度提升 (XGBoost) 和夏普利添加式扩展 (SHAP) 用于驾驶员识别.
化学机制阐明的值回归分析.

主要成果:

低压系统与更高的O3水平有关.
对O3超标的关键气象驱动因素包括空气温度,紫外线光 albedo 和相对湿度.
二氧化 (NO2) 和甲 (HCHO) 促进O3的形成,甲与二氧化比率 (FNR) 超过0.893.3,甲与二氧化的形成就会加剧.

结论:

该研究提供了对济南O3污染驱动因素的全面分析.
值回归有效地剖析了FNR对O3形成的影响.
这些发现支持制定有针对性的战略,以减轻济南的O3污染.

关键词:

正式甲与二氧化的比率 (FNR)济南济南是一个臭氧 (O3) 是一种海平面压力场分类的分类值回归的临界值.在XGBoost分类模型中,

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