Ground-based MAX-DOAS observations of tropospheric formaldehyde and nitrogen dioxide: Insights into ozone formation sensitivity

被引:1
作者
Qian, Yuanyuan [1 ,2 ]
Wang, Dan [1 ]
Li, Zhiyan [1 ]
Liu, Houtong [1 ]
Zhou, Haijin [2 ]
Dou, Ke [2 ]
Xi, Liang [2 ]
Tang, Fuying [2 ,3 ]
Si, Fuqi [2 ]
Luo, Yuhan [2 ]
机构
[1] Anhui Univ Technol, Sch Microelect & Data Sci, Maanshan 243032, Peoples R China
[2] Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Hefei Inst Phys Sci, Key Lab Environm Opt & Technol, Hefei 230031, Peoples R China
[3] Zhejiang Univ Sci & Technol, Sch Automat & Elect Engn, Hangzhou 310023, Peoples R China
关键词
MAX-DOAS; LIDAR; Tropospheric formaldehyde; Tropospheric nitrogen dioxide; Ozone formation sensitivity; PEARL RIVER DELTA; SURFACE OZONE; METEOROLOGICAL INFLUENCES; AIR-QUALITY; CROP YIELD; CHINA; POLLUTION; NO2; PRECURSORS; TROPOMI;
D O I
10.1016/j.apr.2024.102285
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Tropospheric profiles of HCHO, NO2, and O-3 are important for analyzing ozone formation mechanism. In this study, ground-based multi-axis differential optical absorption spectroscopy (MAX-DOAS), light detection and ranging (LIDAR), and in-situ measurements were simultaneously performed to diagnose ozone formation sensitivity at the Heshan Observatory in the Pearl River Delta (PRD) region from September to end October 2019. The profiles of tropospheric HCHO and NO2 were retrieved from MAX-DOAS measurements using an optimal estimation method. The retrieved surface HCHO and NO2 results were validated with 2,4-dinitrophenylhydrazine (DNPH) and Thermo 42i measurements, and the correlation coefficients (R) were 0.78 and 0.81, respectively. The retrieved tropospheric vertical column densities (VCDs) of HCHO and NO2 were compared with TROPOMI measurements, and the correlation coefficients (R) were 0.68 and 0.87, respectively. In addition, MAX-DOAS and LIDAR measurements were combined to diagnose a typical planetary boundary layer (PBL) ozone pollution episode from September 28 to October 10, 2019; this episode was analyzed using HCHO/NO2 ratio as an indicator and was found to be dominated by the VOC-sensitive regime. Moreover, the regime transition of ozone formation sensitivity was calculated using the surface HCHO/NO2 ratio and increased O-3 from the MAX-DOAS and Thermo 49i measurements, with transition thresholds of 1.43 and 1.78, respectively. Based on this definition, the ozone formation sensitivity at Heshan Observatory varied from VOC-sensitive (< 0.2 km and > 0.8 km) to NOx-sensitive (0.3-0.7 km) to VOC-NOx-sensitive (0.2-0.3 km and 0.7-0.8 km). The results improve our understanding of ozone formation sensitivity in the PRD region.
引用
收藏
页数:10
相关论文
共 50 条
[21]   Investigating the Impacts of the COVID-19 Lockdown on Trace Gases Using Ground-Based MAX-DOAS Observations in Nanjing, China [J].
Javed, Zeeshan ;
Wang, Yuhang ;
Xie, Mingjie ;
Tanvir, Aimon ;
Rehman, Abdul ;
Ji, Xiangguang ;
Xing, Chengzhi ;
Shakoor, Awais ;
Liu, Cheng .
REMOTE SENSING, 2020, 12 (23) :1-17
[22]   Study of Tropospheric NO2 VCD from August 2013 to July 2014 with Ground-Based MAX-DOAS in Hefei and Comparison with OMI Observation [J].
Mou Fu-sheng ;
Li Ang ;
Xie Pin-hua ;
Wang Yang ;
Zhang Jie ;
Xu Jin ;
Wu Feng-cheng ;
Chen Hao .
SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37 (04) :1042-1047
[23]   Analysis of the Vertical Distribution and Driving Factors of Aerosol and Ozone Precursors in Huaniao Island, China, Based on Ground-Based MAX-DOAS [J].
Ou, Jinping ;
Hu, Qihou ;
Xing, Chengzhi ;
Zhu, Yizhi ;
Feng, Jiaxuan ;
Ji, Xiangguang ;
Zhang, Mingzhu ;
Wang, Xinqi ;
Li, Liyuan ;
Liu, Ting ;
Chang, Bowen ;
Li, Qihua ;
Yin, Hao ;
Liu, Cheng .
REMOTE SENSING, 2023, 15 (21)
[24]   Spatiotemporal inhomogeneity in NO2 over Fukuoka observed by ground-based MAX-DOAS [J].
Takashima, Hisahiro ;
Kanaya, Yugo ;
Irie, Hitoshi .
ATMOSPHERIC ENVIRONMENT, 2015, 100 :117-123
[25]   Vertical characteristics and potential sources of aerosols over northeast China using ground-based MAX-DOAS [J].
Gao, Changyuan ;
Xing, Chengzhi ;
Tan, Wei ;
Lin, Hua ;
Bu, Naishun ;
Xue, Jiexiao ;
Liu, Feng ;
Liu, Wenqing .
ATMOSPHERIC POLLUTION RESEARCH, 2023, 14 (03)
[26]   MAX-DOAS and in-situ measurements of aerosols and trace gases over Dongying, China: Insight into ozone formation sensitivity based on secondary HCHO [J].
Zheng, Xiaojun ;
Jaued, Zeeshan ;
Liu, Cheng ;
Tanuir, Aimon ;
Sandhu, Osama ;
Liu, Haoran ;
Ji, Xiangguang ;
Xing, Chengzhi ;
Lin, Hua ;
Du, Daolin .
JOURNAL OF ENVIRONMENTAL SCIENCES, 2024, 135 :656-668
[27]   Observations by Ground-Based MAX-DOAS of the Vertical Characters of Winter Pollution and the Influencing Factors of HONO Generation in Shanghai, China [J].
Xu, Shiqi ;
Wang, Shanshan ;
Xia, Men ;
Lin, Hua ;
Xing, Chengzhi ;
Ji, Xiangguang ;
Su, Wenjing ;
Tan, Wei ;
Liu, Cheng ;
Hu, Qihou .
REMOTE SENSING, 2021, 13 (17)
[28]   Five Years of Spatially Resolved Ground-Based MAX-DOAS Measurements of Nitrogen Dioxide in the Urban Area of Athens: Synergies with In Situ Measurements and Model Simulations [J].
Gratsea, Myrto ;
Athanasopoulou, Eleni ;
Kakouri, Anastasia ;
Richter, Andreas ;
Seyler, Andre ;
Gerasopoulos, Evangelos .
ATMOSPHERE, 2021, 12 (12)
[29]   Relating satellite NO2 tropospheric columns to near-surface concentrations: implications from ground-based MAX-DOAS NO2 vertical profile observations [J].
Chang, Bowen ;
Liu, Haoran ;
Zhang, Chengxin ;
Xing, Chengzhi ;
Tan, Wei ;
Liu, Cheng .
NPJ CLIMATE AND ATMOSPHERIC SCIENCE, 2025, 8 (01)
[30]   Ground-Based MAX-DOAS Observation of Trace Gases from 2019 to 2021 in Huaibei, China [J].
Mou, Fusheng ;
Luo, Jing ;
Zhang, Qijin ;
Zhou, Chuang ;
Wang, Song ;
Ye, Fan ;
Li, Suwen ;
Sun, Youwen .
ATMOSPHERE, 2023, 14 (04)