中国环境科学

河南省区域背景O₃浓度特征与驱动因素

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罗乐 ¹^,² , 董张森 ²^,³ , 徐起翔 ²^,³ , 王克 ²^,³ , 苏方成 ²^,³^,^* , 张瑞芹 ²^,³

中国环境科学 | 臭氧污染与控制 2025,45(7): 3573-3581

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中国环境科学 |臭氧污染与控制 2025 , 45 (7) : 3573 -3581

河南省区域背景O₃浓度特征与驱动因素

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罗乐¹^,², 董张森²^,³, 徐起翔²^,³, 王克²^,³, 苏方成²^,³^,^*, 张瑞芹²^,³

作者信息

^1.郑州大学化学学院，河南郑州 450001

^2.郑州大学环境科学研究院，河南郑州 450001

^3.郑州大学生态与环境学院，河南郑州 450001

通讯作者:

^* 责任作者，副研究员，sufangcheng@zzu.edu.cn

作者简介:

罗乐（2001-），男，贵州黔西南人，郑州大学硕士研究生，主要从事大气环境污染防治研究．发表论文1篇．luole010728@163.com.

Characteristics and drivers of regional background ozone concentrations in Henan Province

Le LUO¹^,², Zhang-sen DONG²^,³, Qi-xiang XU²^,³, Ke WANG²^,³, Fang-cheng SU²^,³^,^*, Rui-qin ZHANG²^,³

Affiliations

^1.College of Chemistry, Zhengzhou University, Zhengzhou 450001, China

^2.Research Institute of Environmental Science, Zhengzhou University, Zhengzhou 450001, China

^3.School of Ecology and Environment, Zhengzhou University, Zhengzhou 450001, China

出版时间: 2025-07-20

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摘要

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基于CMAQ模型计算的FNR指标评估了河南省臭氧（O₃）生成敏感性区域，并利用该指标对河南省进行敏感性区域划分．结合2015~2022年河南省国控站监测数据．采用Temp法、Night法、5th法以及CMAQ-Night法，评估了各分区冷暖季O₃区域背景浓度及其演变趋势．结果表明：豫北和豫东以VOCs限制为主，豫西和豫南以NO_x限制为主，同时豫北和豫东大部分地区的边界层比对流层更偏向VOCs限制，且呈现VOCs限制向过渡区转变，过渡区向NO_x限制转变的趋势．Temp法、Night法和5_th法在暖季估算结果为96.0，103.2，88.4μg/m³，占O₃-8h的64.9%、69.7%和59.9%；冷季估算结果分别为56.0，73.6，40μg/m³，Temp法和5_th法占O₃-8h的88.4%和63.2%，Night法估算值高于O₃-8h，冷季NO滴定效应影响明显，冷季O₃浓度逐年上升可能是NO_x排放下降造成NO滴定效应的减弱．CMAQ-Night法显示6月背景O₃在全省范围内的变化为73.1~151.4μg/m³，占O₃-8h的60（豫北）~98%（豫西），平均值为103.3μg/m³（占比71.6%），豫北VOCs限制区的O₃污染由背景浓度与本地生成双重驱动，而豫西山地丘陵地区以背景贡献为主．全省2015~2017年O₃的上升主要由本地生成驱动（占比57%），2017~2020年下降则主要归因于背景O₃的减少（占比58%），需要更加有效的限制措施降低人为排放的影响．

关键词

臭氧（O₃） / WRF-CMAQ / 背景浓度 / 前体物敏感性

Abstract

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In this study, ozone (O₃) formation sensitivity in Henan Province was assessed using the FNR indicator derived from the Community Multiscale Air Quality (CMAQ) model outputs, which was used to classify the province into distinct sensitivity zones. Observation data from national monitoring sites in Henan Province (2015~2022) were integrated with the Temperature method (Temp), Nighttime method (Night), 5_th percentile method, and CMAQ-Night method to evaluate regional background O₃ concentrations during both warm and cold seasons and their evolution trends across different zones. The results indicate that northern and eastern Henan are primarily VOC-limited, while the western and southern parts are predominantly NO_x-limited. In northern and eastern Henan, the planetary boundary layer exhibits stronger VOC-limitation than the troposphere. The results demonstrate a regime transition, where VOC-limited zones gradually shift to transition zones, and these transition zones evolve into NO_x-limited regimes. Background O₃ concentrations estimated by the Temp, Night, and 5_th percentile methods were 96.0, 103.2 and 88.4μg/m³, respectively, accounting for 64.9 69.7 and 59.9% of O₃-8h during the warm season. In the cold season, the corresponding estimates were 56.0, 73.6, and 40.0μg/m³, with the Temp and 5th percentile methods contributing 88.4 and 63.2% of O₃-8h, respectively. The result from the Night method exceeded O₃-8h, likely due to the significant influence of NO titration effects during the cold season. The annual increase in cold-season O₃ concentrations was attributed to the weakening of NO titration effects, driven by substantial reductions in NO_x emissions. The CMAQ-Night method revealed that, in June, background O₃ concentrations ranged from 73.1 to 151.4μg/m³ across Henan Province, accounting for 60% (in northern Henan) to 98% (in western Henan) of O₃-8h, with an average value of 103.3μg/m³ (71.6%). In VOC-limited zones of northern Henan, O₃ pollution was jointly driven by background contributions and local generation, while in the mountainous and hilly regions of western Henan, background contributions dominated. From 2015 to 2017, the increase in O₃ concentrations across the province was primarily driven by local generation (57%), whereas the decline from 2017 to 2020 was mainly attributed to reductions in background O₃ concentrations (58%). These findings highlight significant potential for further reducing locally generated O₃ through targeted emission control measures.

Key words

ozone (O₃) / WRF-CMAQ / background concentration / precursor sensitivity

引用本文

罗乐, 董张森, 徐起翔, 王克, 苏方成, 张瑞芹. 河南省区域背景O₃浓度特征与驱动因素. 中国环境科学, 2025 , 45 (7) : 3573 -3581 .

Le LUO, Zhang-sen DONG, Qi-xiang XU, Ke WANG, Fang-cheng SU, Rui-qin ZHANG. Characteristics and drivers of regional background ozone concentrations in Henan Province[J]. China Environmental Science, 2025 , 45 (7) : 3573 -3581 .

基金

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中原城市群重污染精准溯源与多污染物协同治理(2024YFC3713700)
郑州市PM_2.5与O₃协同限制监测项目(20220347A)

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2025年第45卷第7期

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接收时间：2024-11-21
首发时间：2026-10-08
出版时间：2025-07-20

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收稿日期：2024-11-21

基金

中原城市群重污染精准溯源与多污染物协同治理(2024YFC3713700)

郑州市PM_2.5与O₃协同限制监测项目(20220347A)

作者信息

^1.郑州大学化学学院，河南郑州 450001

^2.郑州大学环境科学研究院，河南郑州 450001

^3.郑州大学生态与环境学院，河南郑州 450001

通讯作者:

^* 责任作者，副研究员，sufangcheng@zzu.edu.cn

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https://castjournals.cast.org.cn/joweb/zghjkx/CN/1314917469798622136

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2种不同金属材料的力学参数

科 Family	属数 Number of genus	种数 Number of species	占总种数比例 Percentage of total species (%)	属 Genus	种数 Number of species	占总种数比例 Percentage of total species (%)
鹅膏菌科Amanitaceae	2	11	5.26	鹅膏菌属 Amanita	10	4.78
小菇科 Mycenaceae	2	12	5.74	丝盖伞属 Inocybe	5	2.39
多孔菌科 Polyporaceae	8	14	6.70	蜡蘑属 Laccaria	5	2.39
红菇科 Russulaceae	3	23	11.00	小皮伞属 Marasmius	6	2.87
				小菇属 Mycena	11	5.26
				光柄菇属 Pluteus	5	2.39
				红菇属 Russula	17	8.13
				栓菌属 Trametes	5	2.39

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