基于空气质量监测微站网络研究浙江某化工园区大气污染物时空变化特征

孙孜涵; 王耕; 张溪; 孙松华; 庞小兵

doi:10.13205/j.hjgc.202504002

基于空气质量监测微站网络研究浙江某化工园区大气污染物时空变化特征

doi: 10.13205/j.hjgc.202504002

1. 浙江工业大学环境学院,杭州 310000;
2. 长江师范学院绿色智慧环境学院,重庆 408100;
3. 绍兴生态环境监测中心,浙江绍兴 312000

基金项目:

浙江省“领雁”研发攻关计划（2022C03073）；国家重点研发计划（2022YFC3703500）；浙江省重点研发计划（2021C03165）；绍兴市科技计划项目（2022B41006）；重庆市自然科学基金面上项目（cstc2019jcyj-msxmX0820）

详细信息

作者简介:
孙孜涵（2001-），男，硕士研究生，主要研究方向为大气环境监测。sunlucky1621@163.com

通讯作者:
庞小兵（1978 - ），男，教授，主要研究方向为大气环境监测和环境仪器研制研究。pangxb@zjut.edu.cn

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- 被引次数: 0
出版历程
- 收稿日期: 2023-07-30
- 录用日期: 2024-04-30
- 修回日期: 2023-10-23
- 刊出日期: 2025-04-01

Research on the spatiotemporal variation characteristics of air pollutants in a chemical industrial park in Zhejiang based on air quality monitoring micro station network

1. College of Environment, Zhejiang University of Technology, Hangzhou 310000, China;
2. Green Intelligence Environmental School, Yangtze Normal University, Chongqing 408100, China;
3. Shaoxing Ecological Environment Monitoring Center, Shaoxing 312000, China

摘要

摘要: 基于30个微型空气质量监测站组建的大气污染物监测网络，对浙江某精细化工园区中的大气污染物开展长期监测研究。结果显示：1）O₃浓度呈双峰变化，峰值出现在4月（83.8 μg/m³）和9月（84.5 μg/m³）；NO₂浓度在冬季高于夏季，年均浓度主要集中在4～28 μg/m³之间；TVOCs变化呈单峰趋势，在8月到达峰值，平均浓度为1954 μg/m³；由于较好的气象扩散条件，PM₁₀和PM_2.5的浓度变化趋势较为一致，二者均在12月浓度最高。2）O₃浓度的高值区域主要集中在园区北部；NO₂的时空分布特征与O₃呈显著负相关，O₃浓度高的地区NO₂的浓度较低；TVOCs的空间分布态势在全年并无显著差异，主要集中在园区南部和东北部；PM高值区域主要分布在园区中部。3）受疫情影响，NO₂和PM的浓度在管控期间低于管控之前，而O₃浓度则因其前体物的影响使得管控期间的浓度高于管控之前。4）根据皮尔逊相关系数，风速的长期迁移和高温会促进O₃的形成；由空间分布和NO₂与TVOCs的比率可知，精细化工园区中O₃ 的形成受NO₂限制，降低环境NO₂浓度是减少园区中O₃浓度的有效策略。
- 精细化工园区 /
- 大气污染物 /
- 时空变化 /
- 微型空气质量监测站
Abstract: The chemical industry park has the characteristics of large scale， gathering enterprises， dense distribution， large quantity of dangerous chemicals， complex production process and so on. Based on the air pollutant monitoring network consists of 30 micro air quality monitoring stations， a long-term monitoring study of air pollutants in a fine chemical industrial park in Zhejiang province was carried out. The results showed that： 1） O₃ concentration showed a bimodal change， and the peak appeared in April （83.8 μg/m³） and September （84.5 μg/m³）. The concentration of NO₂ in winter was higher than that in summer， and the average annual concentration was mainly between 4 μg/m³and 28 μg/m³. TVOCs showed a unimodal trend and reached the peak in August， with an average concentration of 1954 μg/m³. Due to the favorable meteorological diffusion conditions， the concentrations of PM₁₀ and PM_2.5 had the same trend， and both had the highest concentration in December. 2） The high O₃ concentration area was mainly concentrated in the north of the park； the spatiotemporal distribution characteristics of NO₂ were significantly negatively correlated with O₃， and the concentration of NO₂ was lower in areas with high O₃ concentration. There was no significant difference in the spatial distribution of TVOCs throughout the year， mainly concentrated in the south and northeast of the park； the areas with high PM values were mainly distributed in the middle of the park. 3） Influenced by the epidemic， the concentrations of NO₂ and PM were lower than those before the control period， while the concentration of O₃ was higher than that before the control period due to the influence of its precursors. 4） According to the Pearson correlation coefficient， the long-term migration of wind speed and high temperature would promote the formation of O₃； according to the spatial distribution and the ratio of NO₂ to TVOCs， the formation of O₃ in the fine chemical industrial park was limited by NO₂， and reducing the ambient NO₂ concentration should be an effective strategy to reduce the O₃ concentration in the park.
- fine chemical industrial park /
- air pollutants /
- spatiotemporal variation /
- air quality micro monitoring station

HTML全文

1 浙江某化工园区地理位置和30个微站在园区的布局

注： 1—30为监测点。

1. The geographical location of a chemical industrial park in Zhejiang and the distribution of 30 micro stations in the park

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2 监测期间大气污染物浓度月变化及浓度频率分布

2. Monthly variations and concentration frequency distribution of air pollutants during the monitoring period

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3 监测期间大气污染物浓度的日变化

3. Diurnal variations of atmospheric pollutant concentrations during the monitoring period

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4 2019年12月至2020年11月O₃、NO₂、TVOCs和PM₁₀的空间分布

4. The spatial distribution of O₃， NO₂， TVOCs， and PM₁₀from December 2019 to November 2020

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5 化工园区在封控前、中、后期各污染物的浓度变化

5. The concentration changes of each pollutant in the chemical industrial park before， during， and after control

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6 化工园区在封控前后各物质浓度空间变化

6. The spatial variations of the concentrations of various substances in the chemical industrial park before and after control

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1 气体传感器技术参数

1. Technical parameters of the gas sensors

监测目标	原理	检出限	偏差/%	响应时间/s
PM	光散射	0~1500 μg/m³	—	—
NO₂	电化学	0~500 μg/m³	10	≤120
O₃	电化学	0~500 μg/m³	10	≤120
TVOCs	光离子化	0~10 mg/m³	10	≤120

下载: 导出CSV

2 空气污染物浓度与风速、温度、相对湿度之间的皮尔逊相关系数

2. Pearson correlation coefficients between air pollutants concentrations and wind speed， temperature， and humidity

项目		PM_2.5	PM₁₀	NO₂	O₃	TVOCs
风速	冬季	-0.22	-0.10	-0.21	0.35	-0.22
	春季	-0.05^a	-0.02	-0.16^b	0.22^b	-0.00
	夏季	-0.23^b	-0.21^b	-0.27^b	0.34^b	-0.23^b
	秋季	-0.25^b	-0.27^b	-0.03	0.05^a	-0.43^b
温度	冬季	-0.58^b	-0.43^a	-0.02	0.21	0.16
	春季	0.04	0.07^b	-0.27^b	0.54^b	0.35^b
	夏季	-0.07^b	-0.04^a	0.46^b	0.41^b	0.07^b
	秋季	0.05^a	-0.12^b	-0.40^b	0.70^b	0.65^b
RH	冬季	0.61^b	0.53^b	0.38	-0.49^a	0.25
	春季	0.04	0.00	0.08^b	-0.62^b	0.46^b
	夏季	0.16^b	0.11^b	0.54^b	-0.44^b	0.10^b
	秋季	0.13^b	0.05^a	0.24^b	-0.66	0.10^b
注：a表示相关性在0.05水平上显著；b表示相关性在0.01水平上显著。

下载: 导出CSV

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