植物源挥发性有机化合物的排放特征及其对臭氧浓度的贡献

张欢, 石辉, 王会霞, 陈立军

中国环境科学 ›› 2025, Vol. 45 ›› Issue (10) : 5410-5421.

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中国环境科学 ›› 2025, Vol. 45 ›› Issue (10) : 5410-5421.
大气污染与控制

植物源挥发性有机化合物的排放特征及其对臭氧浓度的贡献

  • 张欢1, 石辉1,2, 王会霞1, 陈立军3
作者信息 +

Emission characteristics of biogenic volatile organic compounds and their contribution to ozone concentrations

  • ZHANG Huan1, SHI Hui1,2, WANG Hui-xia1, CHEN Li-jun3
Author information +
文章历史 +

摘要

植物源挥发性有机化合物(BVOCs)是形成臭氧(O3)的重要前驱物质,合理认识BVOCs对臭氧污染的贡献,对区域空气质量及环境管理具有重要意义,因此,本研究基于MEGANv3.2和CMAQ模型,结合WRF模拟气象场及MODIS叶面积指数(LAI)数据,估算了2023年陕西省域的BVOCs排放强度以及其对臭氧浓度的贡献.结果表明:WRF模拟的气温趋势和辐射精度满足区域气象输入需求,风速和湿度的可靠性尚需提升;CMAQ模拟的臭氧浓度与实测值具有显著相关性,但整体浓度偏低,经回归关系得到的修正系数1.15修正后与实测结果吻合.全省总BVOCs的平均排放强度为3.37t/(km2·a),高值区主要分布于陕南秦巴山区(5.77t/(km2·a))及延安市桥山和黄龙山(4.74t/(km2·a))等森林覆盖度高的天然林分布区;低值区主要位于榆林区域的草原地带(0.46t/(km2·a))、延安北部的森林草原过渡区域(0.97t/(km2·a))及关中盆地区域(2.21t/(km2·a)).BVOCs的排放强度具有明显的月变化和日变化特征.在年内7月份达到最高为0.99t/km2;在日内午时14:00达到最高为98.65kg/km2.异戊二烯(ISOP)、单萜烯(TERP)和倍半萜烯(SESQ)是BVOCs的主要组分,分别占37.39%、28.49%和3.56%;其变化趋势与BVOCs相似.乔木和灌木是BVOCs的主要来源,分别贡献了51%和35%.7月BVOCs对陕西省域月均最大8h臭氧浓度的平均贡献率为9.9%,其中,异戊二烯和单萜烯分别占BVOCs贡献的60.5%和14.8%;10月BVOCs对月均最大8h臭氧浓度的平均贡献率降至3.1%.

Abstract

Biogenic volatile organic compounds (BVOCs) are important precursors of ozone (O3) formation. A rational understanding of the contribution of BVOCs to O3 pollution is highly significant for regional air quality and environmental management. This study estimated the BVOCs emission intensity and their contribution to O3 concentration in Shaanxi Province in 2023 based on the MEGANv3.2 and CMAQ models, combined with WRF-simulated meteorological fields and MODIS leaf area index (LAI) data. The results showed that: The WRF model accurately simulated temperature trends and radiation, meeting the requirements for regional meteorological input; but the reliability of wind speed and humidity simulations requires further improvement. The CMAQ-simulated O3 concentrations exhibited a significant correlation with measured values, though the overall concentrations were underestimated. After applying a regression-derived correction factor of 1.15, the simulated results aligned well with observations. The average BVOCs emission intensity across the province was 3.37t/(km2·a). High-emission areas were primarily distributed in the Qinba Mountains of southern Shaanxi (5.77t/(km2·a)) and the Qiaoshan and Huanglongshan areas of Yan’an (4.74t/(km2·a)), both of which are regions with high natural forest coverage. Low-emission areas were mainly located in the grassland regions of Yulin (0.46t/(km2·a)), the forest-steppe transition zone in northern Yan’an (0.97t/(km2·a)), and the Guanzhong Basin (2.21t/(km2·a)). BVOC emissions exhibited distinct monthly and diurnal variations, peaking in July (0.99t/km2) annually and at 14:00 (local time) daily with a maximum value of 98.65kg/km2. Isoprene (ISOP), monoterpenes (TERP), and sesquiterpenes (SESQ) were the main BVOC components, accounting for 37.39%, 28.49%, and 3.56%, respectively, with variation trends similar to total BVOCs. Trees and shrubs were the dominant sources, contributing 51% and 35%, respectively. In July, BVOCs contributed an average of 9.9% to the monthly mean maximum 8-hour O3 concentration in Shaanxi Province, with ISOP and TERP accounting for 60.5% and 14.8% of this contribution, respectively. In October, the average contribution of BVOCs to the monthly mean maximum 8-hour ozone concentration decreased to 3.1%.

关键词

植物源挥发性有机化合物 / 臭氧 / MEGAN模型 / CMAQ模型 / 陕西

Key words

biogenic volatile organic compounds (BVOCs) / ozone (O3) / MEGAN / CMAQ / Shaanxi province

引用本文

导出引用
张欢, 石辉, 王会霞, 陈立军. 植物源挥发性有机化合物的排放特征及其对臭氧浓度的贡献[J]. 中国环境科学. 2025, 45(10): 5410-5421
ZHANG Huan, SHI Hui, WANG Hui-xia, CHEN Li-jun. Emission characteristics of biogenic volatile organic compounds and their contribution to ozone concentrations[J]. China Environmental Science. 2025, 45(10): 5410-5421
中图分类号: X511   

参考文献

[1] 郑君瑜,郑卓云,王兆礼,等.珠江三角洲天然源VOCs排放量估算及时空分布特征 [J]. 中国环境科学, 2009,29(4):345-350. Zheng J Y, Zheng Z Y, Wang Z L, et al. Biogenic VOCs emission inventory and its temporal and spatial characteristics in the Pearl River Delta area [J]. China Environmental Science, 2009,29(4):345-350.
[2] 刘 峰,朱永官,王效科.我国地面臭氧污染及其生态环境效应 [J]. 生态环境学报, 2008,17(4):1674-1679. Liu F, Zhu Y G, Wang X K. Surface ozone pollution and its eco-environmental impacts in China [J]. Ecology and Environment, 2008,17(4):1674-1679.
[3] Liu Y, Wang T. Worsening urban ozone pollution in China from 2013 to 2017 – Part 1: The complex and varying roles of meteorology [J]. Atmospheric Chemistry and Physics, 2020,20(11):6305-6321.
[4] Li J, Li L Y, Wu R R, et al. Inventory of highly resolved temporal and spatial volatile organic compounds emission in China [J]. WIT Transactions on Ecology and the Environment, 2016,207:79-86.
[5] 高 超,张学磊,修艾军,等.中国生物源挥发性有机物(BVOCs)时空排放特征研究 [J]. 环境科学学报, 2019,39(12):4140-4151. Gao C, Zhang X L, Xiu A J, et al. Spatiotemporal distribution of biogenic volatile organic compounds emissions in China [J]. Acta Scientiae Circumstantiae, 2019,39(12):4140-4151.
[6] 咸 月,赵有政,王文斌,等.基于GloBEIS模型的徐州市天然源VOCs排放量估算 [J]. 环境科技, 2017,30(5):6-11. Xian Y, Zhao Y Z, Wang W B, et al. Estimating Biogenic VOCs Emission for Xuzhou Area Based on the GloBEIS Model [J]. Environmental Science and Technology, 2017,30(5):6-11.
[7] 宋媛媛,张艳燕,王勤耕,等.基于遥感资料的中国东部地区植被VOCs排放强度研究 [J]. 环境科学学报, 2012,32(9):2216-2227. Song Y Y, Zhang Y Y, Wang Q G, et al. Estimation of biogenic VOCs emissions in Eastern China based on remote sensing data [J]. Acta Scientiae Circumstantiae, 2012,32(9):2216-2227.
[8] Liu Y, Li L, An J, et al. Estimation of biogenic VOC emissions and its impact on ozone formation over the Yangtze River Delta region, China [J]. Atmospheric Environment, 2018,186:113-128.
[9] Cai B, Cheng H, Kang T. Establishing the emission inventory of biogenic volatile organic compounds and quantifying their contributions to O3 and PM2.5 in the Beijing-Tianjin-Hebei region [J]. Atmospheric Environment, 2024,318:120206.
[10] Yong J, Xie Y, Guo H, et al. Unraveling the influence of biogenic volatile organic compounds and their constituents on ozone and SOA formation within the Yellow River Basin, China [J]. Chemosphere, 2024,353:141549.
[11] Wei X L, Li Y S, Lam K S, et al. Impact of biogenic VOC emissions on a tropical cyclone-related ozone episode in the Pearl River Delta region, China [J]. Atmospheric Environment, 2007,41(36):7851-7864.
[12] 李 浩,李 莉,黄 成,等.2013年夏季典型光化学污染过程中长三角典型城市O3来源识别 [J]. 环境科学, 2014,36(1):1-10. Li H, Li L, Huang C, et al. Ozone source apportionment at urban area during a typical photochemical pollution episode in the summer of 2013 in the Yangtze River Delta [J]. Environmental Science, 2014, 36(1):1-10.
[13] 刘 岩,李 莉,安静宇,等.长江三角洲2014年天然源BVOCs排放、组成及时空分布 [J]. 环境科学, 2018,39(2):608-617. Liu Y, Li L, An J Y, et al. Emissions, chemical composition, and spatial and temporal allocation of the BVOCs in the Yangtze River Delta Region in 2014 [J]. Environmental Science, 2018,39(2):608-617.
[14] Zhang S, Lyu Y, Yang X, et al. Modeling biogenic volatile organic compounds emissions and subsequent impacts on ozone air quality in the Sichuan Basin, Southwestern China [J]. Frontiers in Ecology and Evolution, 2022,10:924944.
[15] Cao J, Situ S, Hao Y, et al. Enhanced summertime ozone and SOA from biogenic volatile organic compound (BVOC) emissions due to vegetation biomass variability during 1981~2018 in China [J]. Atmospheric Chemistry and Physics, 2022,22(4):2351-2364.
[16] 雍佳乐,谢元礼,郭慧琳,等.陕西省天然源挥发性有机物排放清单及时空分布特征研究 [J]. 环境科学学报, 2023,43(8):235-247. Yong J L, Xie Y L, Guo H L, et al. Inventory and spatiotemporal distribution characteristics of emissions of biogenic volatile organic compounds in Shaanxi Province [J]. Acta Scientiae Circumstantiae, 2023,43(8):235-247.
[17] Yang W, Cao J, Wu Y, et al. Review on plant terpenoid emissions worldwide and in China [J]. Science of The Total Environment, 2021, 787:147454.
[18] Guenther A, Karl T, Harley P, et al. Estimates of global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and Aerosols from Nature) [J]. Atmospheric Chemistry and Physics, 2006, 6(11):3181-3210.
[19] Chi Y Q, Xie S D. Spatiotemporal inventory of biogenic volatile organic compound emissions in China based on vegetation volume and production [J]. Advanced Materials Research, 2012,356:2579-2582.
[20] Guenther A B, Jiang X, Heald C L, et al. The model of emissions of gases and aerosols from nature version 2.1 (MEGAN2.1): an extended and updated framework for modeling biogenic emissions [J]. Geoscientific Model Development, 2012,5(6):1471-1492.
[21] Guenther A, Jiang X, Shah T, et al. Model of emissions of gases and aerosol from nature version 3 (MEGAN3) for estimating biogenic emissions [C]//Air Pollution Modeling and its Application XXVI 36. Springer International Publishing, 2020:187-192.
[22] Luecken D J, Yarwood G, Hutzell W T. Multipollutant modeling of ozone, reactive nitrogen and HAPs across the continental US with CMAQ-CB6 [J]. Atmospheric Environment, 2019,201:62-72.
[23] Appel K W, Bash J O, Fahey K M, et al. The community multiscale air quality (CMAQ) model versions 5.3 and 5.3.1: System updates and evaluation [J]. Geoscientific Model Development, 2021,14(5):2867- 2897.
[24] Geng G, Liu Y, Liu Y, et al. Efficacy of China’s clean air actions to tackle PM2.5 pollution between 2013 and 2020 [J]. Nature Geoscience, 2024,17(10):987-994.
[25] Wang K, Gao C, Wu K, et al. ISAT v2.0: an integrated tool for nested-domain configurations and model-ready emission inventories for WRF-AQM [J]. Geoscientific Model Development, 2023,16(7): 1961-1973.
[26] 顾沈旦,于丽娟,尹承美,等.WRF模式对济南地区夏季近地面气象场模拟效果评估 [J]. 气象与环境学报, 2016,32(1):1-8. Gu S D, Yu L J, Yin C M, et al. Evaluation of summer near-surface meteorological fields simulated by WRF model in Ji' nan [J]. Journal of Meteorology and Environment, 2016,32(1):1-8.
[27] 王安庭,苏 航,郭 爽,等.WRF模式不同边界层参数化方案对沈阳地区近地面气象要素模拟差异评估 [J]. 陕西气象, 2024,(3):25-30. Wang A T, Su H, Guo S, et al. Difference assessment on simulation meteorological elements near surface in Shenyang region by different schemes of boundary layer parameterization in WRF Model [J]. Journal of Shaanxi Meteorology, 2024,(3):25-30.
[28] Hu X M, Nielsen-Gammon J W, Zhang F. Evaluation of three planetary boundary layer schemes in the WRF Model [J]. Journal of Applied Meteorology and Climatology, 2010,49(9):1831-1844.
[29] 于丽娟,尹承美,何建军,等.植被覆盖度算法对中国区域WRF模拟的影响 [J]. 高原气象, 2015,34(3):714-721. Yu L J, Yin C M, He J J, et al. Impact of vegetation fraction algorithms on WRF simulation over China [J]. Plateau Meteorology, 2015,34(3): 714-721.
[30] 马晨晨,余 晔,何建军,等.次网格地形参数化对WRF模式在复杂地形区风场模拟的影响 [J]. 干旱气象, 2016,34(1):96-105. Ma C C, Yu Y, He J J, et al. Effect of subgrid - scale terrain parameterization on WRF’s performance on wind field over complex Terrain [J]. Journal of Arid Meteorology, 2016,34(1):96-105.
[31] Li L Y, Chen Y, Xie S D. Spatio-temporal variation of biogenic volatile organic compounds emissions in China [J]. Environmental Pollution, 2013,182:157-168.
[32] Niinemets Ü, Loreto F, Reichstein M. Physiological and physicochemical controls on foliar volatile organic compound emissions [J]. Trends in Plant Science, 2004,9(4):180-186.
[33] Van Meeningen Y, Schurgers G, Rinnan R, et al. Isoprenoid emission response to changing light conditions of English oak, European beech and Norway spruce [J]. Biogeosciences, 2017,14(18):4045-4060.
[34] 许 燕,李双江,袁相洋,等.北方常见绿化树种BVOCs排放特征及其与光合作用参数的相关性 [J]. 环境科学, 2020,41(8):3518-3526. Xu Y, Li S J, Yuan X Y, et al. Emission characteristics of biogenic volatile compounds ( BVOCs ) from common greening tree species in Northern China and their correlations with photosynthetic parameters [J]. Environmental Science, 2020,41(8):3518-3526.
[35] 赵 静,白郁华,王志辉,等.我国植物VOCs排放速率的研究 [J]. 中国环境科学, 2004,24(6):654-657. Zhao J, Bai Y H, Wang Z H, et al. Studies on the emission rates of plants VOCs in China [J]. China Environmental Science, 2004,24(6): 654-657.
[36] 谭峥铮,卢召艳,石广明,等.湖南省天然源挥发性有机物排放时空特征研究 [J]. 环境科学学报, 2021,41(5):1774-1783. Tan Z Z, Lu Z Y, Shi G M, et al. The characteristics of biogenic volatile organic compounds emissions of Hunan Province [J]. Acta Scientiae Circumstantiae, 2021,41(5):1774-1783.
[37] 张明明,邵 旻,陈培林,等.长三角地区VOCs排放特征及其对大气O3和SOA的潜在影响 [J]. 中国环境科学, 2023,43(6):2694-2702. Zhang M M, Shao M, Chen P L, et al. Characteristics of anthropogenic and biogenic VOCs emissions and their potential impacts on O3 and SOA in the Yangtze River Delta region [J]. China Environmental Science, 2023,43(6):2694-2702.
[38] 吕铃钥,李洪远,杨佳楠.中国植物挥发性有机化合物排放估算研究进展 [J]. 环境污染与防治, 2015,37(11):83-89. Lv L Y, Li H Y, Yang J N. Researchprocessoftheemission estimate of biogenic volatile organiccompoundsin China [J]. Environmental Pollution & Control, 2015,37(11):83-89.
[39] Li L, Yang W, Xie S, et al. Estimations and uncertainty of biogenic volatile organic compound emission inventory in China for 2008~2018 [J]. Science of The Total Environment, 2020,733:139301.
[40] Bai J, Guenther A, Turnipseed A, et al. Seasonal and interannual variations in whole-ecosystem isoprene and monoterpene emissions from a temperate mixed forest in Northern China [J]. Atmospheric Pollution Research, 2015,6(4):696-707.
[41] Bai J, Baker B, Liang B, et al. Isoprene and monoterpene emissions from an Inner Mongolia grassland [J]. Atmospheric Environment, 2006,40(30):5753-5758.
[42] 王祖康,赵 平,李 艳,等.生物挥发性有机物对沈阳市夏季地表臭氧影响 [J]. 广东化工, 2024,51(15):124-126. Wang Z K, Zhao P, Li Y, et al. The impact of biogenic volatile organic compounds on summertime surface ozone in Shenyang [J]. Guangdong Chemical Industry, 2024,51(15):124-126.
[43] Guidolotti G, Pallozzi E, Gavrichkova O, et al. Emission of constitutive isoprene, induced monoterpenes, and other volatiles under high temperatures in Eucalyptus camaldulensis: A13C labelling study [J]. Plant, Cell & Environment, 2019,42(6):1929-1938.

基金

陕西省环境介质痕量污染物监测预警重点实验室项目(SHJKFJJ202314);陕西省自然科学基础研究计划项目(2023-JC-YB-172);西安建筑科技大学前沿交叉领域培育专项(X20220071)

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