基于梯度提升决策树模型的典型化工园区臭氧形成观测规则

Atmosphere Pub Date : 2024-05-14 DOI:10.3390/atmos15050600
Nana Cheng, Deji Jing, Zhenyu Gu, Xingnong Cai, Zhanhong Shi, Sujing Li, Liang Chen, Wei Li, Qiaoli Wang
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引用次数: 0

摘要

化工园区臭氧污染严重且复杂,受污染物排放和气象参数影响较大。本研究以中国长三角地区典型的化工园区为研究对象,采用基于观测的分析方法和梯度提升决策树(GBDT)模型,创新性地研究了臭氧的形成规律。结果表明,臭氧浓度与温度呈正相关,而与二氧化氮浓度和相对湿度呈负相关。臭氧污染主要出现在 4 月至 10 月(M4-10)。随后,利用优化的 GBDT 模型,在 M4-10 期间复杂而不确定的多因素背景下,确定了每个单一主导影响因素(相对湿度、二氧化氮、温度和 PM2.5)与臭氧之间具体而可量化的关系。详细讨论了臭氧与不同相对湿度和温度水平相关的反应速率。高温和低相对湿度有利于臭氧的积累,在相对湿度为 50%、温度为 35 ℃ 时观测到的臭氧浓度最大。NO2-O3 变化曲线表现出明显的阶段性,包括稳定期、逐渐上升期、快速上升期和平衡期。在第二和第三阶段,臭氧产生量与二氧化氮消耗量之比分别为 0.10 和 2.73。此外,臭氧浓度变化与 PM2.5 浓度变化之间存在非单调关系。因此,在园区内实施精细化控制策略势在必行,如采取季节性生产策略、实施有针对性的氮氧化物和活性挥发性有机物控制措施,以及在高温时段采用特殊控制方法。这项研究有助于实现对局部臭氧污染的有效管理,确保空气质量达标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Observation-Based Ozone Formation Rules by Gradient Boosting Decision Trees Model in Typical Chemical Industrial Parks
Ozone pollution in chemical industrial parks is severe and complicated and is significantly influenced by pollutant emissions and meteorological parameters. In this study, we innovatively investigated the formation rules of ozone by using observation-based analyses and a gradient-boosting decision tree (GBDT) model, focusing on a typical chemical industrial park located in the Yangtze River Delta of China. The results revealed that ozone concentration was positively correlated with temperature while negatively correlated with NO2 concentration and relative humidity (RH). Ozone pollution was predominantly observed from April to October (M4–10). The optimized GBDT model was subsequently utilized to establish a specific and quantifiable relationship between each single dominant impact factor (RH, NO2, temperature, and PM2.5) and ozone within a complex and uncertain multi-factor context during M4–10. Detailed discussions were conducted on the reaction rate of ozone-related to different levels of RH and temperature. The accumulation of ozone was favored by high temperature and low RH, with the maximum ozone concentration observed at the RH of 50% and the temperature of 35 °C. The NO2-O3 change curve exhibited distinct phases, including a period of stability, gradual increase, rapid increase, and equilibrium. During the second and third periods, the ratio of ozone production to NO2 consumption was 0.10 and 2.73, respectively. Furthermore, there was a non-monotonic relationship between variations in ozone concentration and PM2.5 concentration. Hence, it is imperative to implement fine control strategies in the park, such as adopting seasonal production strategies, implementing targeted measures for controlling NOx and active VOCs, and employing special control methods during periods of high temperature. This study provides aid in achieving effective management of localized ozone pollution and ensuring compliance with air quality standards.
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