Please wait a minute...
Frontiers of Environmental Science & Engineering

ISSN 2095-2201

ISSN 2095-221X(Online)

CN 10-1013/X

Postal Subscription Code 80-973

2018 Impact Factor: 3.883

Front. Environ. Sci. Eng.    0, Vol. Issue () : 15    https://doi.org/10.1007/s11783-016-0887-1
RESEARCH ARTICLE
Photochemical indicators of ozone sensitivity: application in the Pearl River Delta, China
Lyumeng Ye1,Xuemei Wang2(),Shaofeng Fan3,Weihua Chen1,Ming Chang1,Shengzhen Zhou2,Zhiyong Wu1,Qi Fan2
1. School of Environmental Science and Engineering, Sun Yat-Sen University, Guangzhou 510275, China
2. School of Atmospheric Sciences, Sun Yat-Sen University, Guangzhou 510275, China
3. Guangzhou Research Institute of Environmental Protection, Guangzhou 510620, China
 Download: PDF(648 KB)   HTML
 Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks
Abstract

The distribution of NOx- and VOC-sensitive regimes in the PRD are identified.

The effectiveness of six popular chemical indicators for discriminating O3 sensitivity regimes is evaluated.

Threshold levels for HCHO/NOy, H2O2/HNO3, O3/NOy, O3/NOz, O3/HNO3 were derived and verified.

The indicators H2O2/HNO3 and H2O2/NOz performed best and maintained relatively stable threshold levels.

Surface O3 production has a highly nonlinear relationship with its precursors. The spatial and temporal heterogeneity of O3-NOx-VOC-sensitivity regimes complicates the control- decision making. In this paper, the indicator method was used to establish the relationship between O3 sensitivity and assessment indicators. Six popular ratios indicating ozone-precursor sensitivity, HCHO/NOy, H2O2/HNO3, O3/NOy, O3/NOz, O3/HNO3, and H2O2/NOz, were evaluated based on the distribution of NOx- and VOC-sensitive regimes. WRF-Chem was used to study a serious ozone episode in fall over the Pearl River Delta (PRD). It was found that the south-west of the PRD is characterized by a VOC-sensitive regime, while its north-east is NOx-sensitive, with a sharp transition area between the two regimes. All indicators produced good representations of the elevated ozone hours in the episode on 6 November 2009, with H2O2/HNO3 being the best indicator. The threshold sensitivity levels for HCHO/NOy, H2O2/HNO3, O3/NOy, O3/NOz, O3/HNO3, and H2O2/NOz were estimated to be 0.41, 0.55, 10.2, 14.0, 19.1, and 0.38, respectively. Threshold intervals for the indicators H2O2/HNO3, O3/NOy, O3/NOz, O3/HNO3, and H2O2/NOz were able to identify more than 95% of VOC- and NOx-sensitive grids. The ozone episode on 16 November 16 2008 was used to independently verify the results, and it was found that only H2O2/HNO3 and H2O2/NOz were able to differentiate the ozone sensitivity regime well. Hence, these two ratios are suggested as the most appropriate indicators for identifying fall ozone sensitivity in the PRD. Since the species used for indicators have seasonal variation, the utility of those indicators for other seasons should be investigated in the future work.

Keywords Ozone      Pearl River Delta (PRD)      Sensitivity regime      Photochemical indicator      Threshold levels     
Corresponding Author(s): Xuemei Wang   
Issue Date: 25 November 2016
 Cite this article:   
Lyumeng Ye,Xuemei Wang,Shaofeng Fan, et al. Photochemical indicators of ozone sensitivity: application in the Pearl River Delta, China[J]. Front. Environ. Sci. Eng., 0, (): 15.
 URL:  
https://academic.hep.com.cn/fese/EN/10.1007/s11783-016-0887-1
https://academic.hep.com.cn/fese/EN/Y0/V/I/15
meteorological
element and
pollutants
number of
stations
mean error mean
absolute error
root mean
square error
correlation
coefficient
observation value simulation value
T2/°C a) 6 22.9 23.0 0.1 1.8 2.3 0.87
RH/%b) 6 60 63 4 9 11 0.87
WS/(m?s–1) c) 6 1.5 1.7 0.2 0.8 1.0 0.56
O3/(μg?m–3) 6 62 53 –9 25 37 0.86
daytimeO3/(μg?m–3) 6 95 87 –8 20 23 0.95
NO2/(μg?m–3) 6 89 85 –4 36 45 0.58
Tab.1  Verification statistics for meteorological elements and pollutants
Fig.1  (a) The model domain; (b) Monitoring sites. Meteorological stations are marked as solid black dots, and air quality monitoring stations are marked as solid red triangles
test anthropogenic NOx emission anthropogenic VOCs emission
base no changes no changes
case1 –25% no changes
case2 no changes –25%
case3 +25% no changes
case4 no changes +25%
Tab.2  Experimental settings for sensitivity testing of anthropogenic emission sources
Fig.2  Predicted surface ozone response to 25 % reduction in emissions of anthropogenic VOCs (green circles), and anthropogenic NOx (orange crosses): (a) HCHO/NOy; (b) H2O2/HNO3; (c) O3/NOy; (d) O3/NOz; (e) O3/HNO3; and (f) H2O2/NOz
Fig.3  Predicted surface ozone response to 25 % increase in emissions of anthropogenic VOCs (green circles), and anthropogenic NOx (orange crosses): (a) HCHO/NOy; (b) H2O2/HNO3; (c) O3/NOy; (d) O3/NOz; (e) O3/HNO3; and (f) H2O2/NOz
Fig.4  Distributions of surface 3-km grid cells under NOx-sensitive and VOC-sensitive conditions for the period 13–16 LST, November 6, 2009: (a) HCHO/NOy; (b) H2O2/HNO3; (c) O3/NOy; (d) O3/NOz; (e) O3/HNO3; and (f) H2O2/NOz
indication normalized threshold raw data threshold VOCs sensitivityError_A/% VOCs sensitivity Error_B/% NOx sensitivity Error_A/% NOx sensitivity Error_B/% OA/%
HCHO/NOya) −0.15 0.41 7.5 5.4 4.3 6.0 94.3
H2O2/HNO3 −0.35 0.55 1.4 4.8 3.6 1.1 97.3
O3/NOy −0.20 10.2 4.2 4.5 3.5 3.2 96.2
O3/NOzb) −0.25 14.0 3.7 5.8 4.4 2.8 95.9
O3/HNO3 −0.25 19.1 3.0 5.7 4.3 2.3 96.2
H2O2/NOz −0.40 0.38 1.1 6.3 4.7 0.8 96.8
Tab.3  Uncertainty estimation for chemical indicators used to identify NOx- and VOC-sensitive surface grids
Fig.5  Surface O3 sensitivity over the Pearl River Delta (PRD) for the period 13–16 LST, November 9, 2009, based on: (a) Model sensitivity test results; (b) H2O2/HNO3 indicator ratio with a threshold of 0.55
indicator P95 VOCs sensitivity a) P5 NOx sensitivity b)
HCHO/NOy 0.42 0.40
H2O2/HNO3 0.54 0.62
O3/NOy 10.2 10.6
O3/NOz 14.3 14.6
O3/HNO3 19.5 20.1
H2O2/NOz 0.42 0.45
Tab.4  Distribution of six indicator ratios for NOx- and VOC-sensitive conditions
Fig.6  Surface O3 sensitivity regimes, based on the chemical indicator threshold levels in Table 5, and model sensitivity, resulting from a 25 % reduction over the Pearl River Delta (PRD) for the period 13–16 LST, November 16, 2008: (a) H2O2/HNO3; (b) O3/NOy; (c) O3/NOz; (d) O3/HNO3; (e) H2O2/NOz; and (f) model sensitivity
indicator discrimination rate of VOCs sensitivity/% discrimination rate of NOx sensitivity/% overall discrimination accuracy/%
H2O2/HNO3 95.8 96.3 96.2
O3/NOy 99.0 92.2 94.0
O3/NOz 97.5 93.6 94.7
O3/HNO3 97.7 89.8 91.9
H2O2/NOz 95.8 96.6 96.4
Tab.5  Uncertainty estimation for five chemical indicator ratios using the threshold data in Table 4 to identify NOx- and VOC-sensitive surface cells, for the period 13–16 LST, November 16, 2008
Fig.7  Distributions of surface 3-km grid cells under NOx-sensitive and VOC-sensitive conditions for the period 13–16 LST on November 6, 2009, and November 16, 2008: (a) H2O2/HNO3; (b) O3/NOy; (c) O3/NOz; (d) O3/HNO3; (e) H2O2/NOz
Fig.8  Trends in NO2 and O3 for (a) the Pearl River Delta (PRD); and (b) Foshan city
1 Situ S P, Guenther A, Wang X M, Jiang X, Turnipseed A, Wu Z Y, Bai J H, Wang X. Impacts of seasonal and regional variability in biogenic VOC emissions on surface ozone in the Pearl River Delta region, China. Atmospheric Chemistry and Physics, 2013, 13(23): 11803–11817
https://doi.org/10.5194/acp-13-11803-2013
2 Jin X M, Holloway T. Spatial and temporal variability of ozone sensitivity over China observed from the Ozone Monitoring Instrument. Journal of Geophysical Research, D, Atmospheres, 2015, 120(14): 7229–7246
https://doi.org/10.1002/2015JD023250
3 Song J, Lei W, Bei N, Zavala M, de Foy B, Volkamer R, Cardenas B, Zheng J, Zhang R, Molina L T. Ozone response to emission changes: a modeling study during the MCMA-2006/MILAGRO Campaign. Atmospheric Chemistry and Physics, 2010, 10(8): 3827–3846
https://doi.org/10.5194/acp-10-3827-2010
4 Zhang Y H, Su H, Zhong L J, Cheng Y F, Zeng L M, Wang X S, Xiang Y R, Wang J L, Gao D F, Shao M, Liu S C. Regional ozone pollution and observation-based approach for analyzing ozone-precursor relationship during the PRIDE-PRD2004 campaign. Atmospheric Environment, 2008, 42(25): 6203–6218
https://doi.org/10.1016/j.atmosenv.2008.05.002
5 Chou C CK, Tsai C Y, Shiu C J, Liu S C, Zhu T.Measurement of NOy during campaign of air quality research in Beijing 2006(CAREBeijing-2006): implications for the ozone production efficiency of NOx. Journal of Geophysical Research-Atmospheres, 2009, 114(D00G01)
6 Shao M, Zhang Y H, Zeng L M, Tang X Y, Zhang J, Zhong L J, Wang B G. Ground-level ozone in the Pearl River Delta and the roles of VOC and NOx in its production. Journal of Environmental Management, 2009, 90(1): 512–518
https://doi.org/10.1016/j.jenvman.2007.12.008
7 Li Y, Lau A K H, Fung J C H, Zheng J Y, Liu S C. Importance of NOx control for peak ozone reduction in the Pearl River Delta region. Journal of Geophysical Research, D, Atmospheres, 2013, 118(16): 9428–9443
https://doi.org/10.1002/jgrd.50659
8 Xing J, Wang S X, Jang C, Zhu Y, Hao J M. Nonlinear response of ozone to precursor emission changes in China: a modeling study using response surface methodology. Atmospheric Chemistry and Physics, 2011, 11(10): 5027–5044
https://doi.org/10.5194/acp-11-5027-2011
9 Wang X M, Carmichael G, Chen D L, Tang Y H, Wang T J. Impacts of different emission sources on air quality during March 2001 in the PRD (PRD) region. Atmospheric Environment, 2005, 39(29): 5227–5241
https://doi.org/10.1016/j.atmosenv.2005.04.035
10 Lam K S, Wang T J, Wu C L, Li Y S. Study on an ozone episode in hot season in Hong Kong and transboundary air pollution over PRD region of China. Atmospheric Environment, 2005, 39(11): 1967–1977
https://doi.org/10.1016/j.atmosenv.2004.11.023
11 Wang X, Zhang Y, Hu Y, Zhou W, Lu K, Zhong L, Zeng L, Shao M, Hu M, Russell A G. Process analysis and sensitivity study of regional ozone formation over the PRD, China, during the PRIDE-PRD2004 campaign using the Community Multiscale Air Quality modeling system. Atmospheric Chemistry and Physics, 2010, 10(9): 4423–4437
https://doi.org/10.5194/acp-10-4423-2010
12 Wang X S, Zhang Y H, Hu Y T, Zhou W, Zeng L M, Hu M, Cohan D S, Russell A G. Decoupled direct sensitivity analysis of regional ozone pollution over the PRD during the PRIDE-PRD2004 campaign. Atmospheric Environment, 2011, 45(28): 4941–4949
https://doi.org/10.1016/j.atmosenv.2011.06.006
13 Jiménez P, Baldasano J M. Ozone response to precursor controls in very complex terrains: use of photochemical indicators to assess O3-NOx-VOC sensitivity in the northeastern Iberian Peninsula. Journal of Geophysical Research: Atmospheres (1984–2012), 2004, 109(D20)
14 Peng Y P, Chen K S, Lai C H, Lu P J, Kao J H. Concentrations of H2O2 and HNO3 and O3-VOC-NOx sensitivity in ambient air in southern Taiwan. Atmospheric Environment, 2006, 40(35): 6741–6751
https://doi.org/10.1016/j.atmosenv.2006.05.079
15 Tie X X, Madronich S, Li G H, Ying Z M, Zhang R Y, Garcia A R, Lee-Taylor J, Liu Y B. Characterizations of chemical oxidants in Mexico City: a regional chemical dynamical model (WRF-Chem) study. Atmospheric Environment, 2007, 41(9): 1989–2008
https://doi.org/10.1016/j.atmosenv.2006.10.053
16 Sillman S, West J J. Reactive nitrogen in Mexico City and its relation to ozone-precursor sensitivity: results from photochemical models. Atmospheric Chemistry and Physics, 2009, 9(11): 3477–3489
https://doi.org/10.5194/acp-9-3477-2009
17 Tie X, Geng F, Guenther A, Cao J, Greenberg J, Zhang R, Apel E, Li G, Weinheimer A, Chen J, Cai C. Megacity impacts on regional ozone formation: observations and WRF-Chem modeling for the MIRAGE-Shanghai field campaign. Atmospheric Chemistry and Physics, 2013, 13(11): 5655–5669
https://doi.org/10.5194/acp-13-5655-2013
18 Milford J B, Gao D F, Sillman S, Blossey P, Russell A G.Total reactive nitrogen (NOy) as an indicator of the sensitivity of ozone to reductions in hydrocarbon and NOx emissions. Journal of Geophysical Research: Atmospheres (1984–2012), 1994, 99(D2): 3533–3542
19 Sillman S.The use of NOy, H2O2, and HNO3 as indicators for ozone-NOx-hydrocarbon sensitivity in urban locations. Journal of Geophysical Research, 1995, 100(D7): 14175–14188
20 Wang Z, Shao M, Chen L, Tao M H, Zhong L J, Chen D H, Fan M, Wang Y, Wang X H. Space view of the decadal variation for typical air pollutants in the Pearl River Delta (PRD) region in China. Frontiers of Environmental Science & Engineering, 2016, 10(5): 1–14
https://doi.org/10.1007/s11783-016-0840-3
21 Parrish D D, Xu J, Croes B, Shao M. Air quality improvement in Los Angeles- perspectives for developing cities. Frontiers of Environmental Science & Engineering, 2016, 10(5): 1–13
https://doi.org/10.1007/s11783-016-0859-5
22 Zheng J Y, Zhang L J, Che W W, Zheng Z Y, Yin S S. A highly resolved temporal and spatial air pollutant emission inventory for the PRD region, China and its uncertainty assessment. Atmospheric Environment, 2009a, 43(32): 5112–5122
https://doi.org/10.1016/j.atmosenv.2009.04.060
23 Zheng J Y, Zhang L J, Zhong L J, Wang Z L. Area source emission inventory of air pollutant and its spatial distribution characteristics in PRD. China Environmental Science, 2009b, 29(5): 455–460 (in Chinese)
24 Zheng J Y, Shao M, Che W W, Zhang L J, Zhong L J, Zhang Y H, Streets D. Speciated VOC Emission Inventory and Spatial Patterns of Ozone Formation Potential in the Pearl River Delta, China. Environmental Science & Technology, 2009c, 43(22): 8580–8586
https://doi.org/10.1021/es901688e
25 Guenther A, Karl T, Harley P, Wiedinmyer C, Palmer P I, Geron C. Estimates of global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and Aerosols from Nature). Atmospheric Chemistry and Physics, 2006, 6(11): 3181–3210
https://doi.org/10.5194/acp-6-3181-2006
26 Liang J, Jackson B, Kaduwela A. Evaluation of the ability of indicator species ratios to determine the sensitivity of ozone to reductions in emissions of volatile organic compounds and oxides of nitrogen in northern California. Atmospheric Environment, 2006, 40(27): 5156–5166
https://doi.org/10.1016/j.atmosenv.2006.03.060
27 Castell N, Stein A F, Mantilla E, Salvador R, Millán M. Evaluation of the use of photochemical indicators to assess ozone-NOx-VOC sensitivity in the Southwestern Iberian Peninsula. Journal of Atmospheric Chemistry, 2009, 63(1): 73–91
https://doi.org/10.1007/s10874-010-9158-x
28 Chang M, Fan S F, Wang X M. Impact of refined land-cover data on WRF performance over the Pearl River Delta region, China. Acta Scientiae Circumstantiae, 2014, 34(8): 1922–1933 (in Chinese)
29 Andreani-Aksoyoglu S, Lu C H, Keller J, Prevot A S H, Chang J S. Variability of indicator values for ozone production sensitivity: a model study in Switzerland and San Joaquin Valley (California). Atmospheric Environment, 2001, 35(32): 5593–5604
https://doi.org/10.1016/S1352-2310(01)00278-3
30 Xu X B, Ge B Z, Lin W L. Progresses in the Research of Ozone Production Efficiency (OPE). Advances in Earth Science, 2009, 24(8): 845–853 (in Chinese)
31 Sillman S. The relation between ozone, NOx and hydrocarbons in urban and polluted rural environments. Atmospheric Environment, 1999, 33(12): 1821–1845
https://doi.org/10.1016/S1352-2310(98)00345-8
32 Zhang Y, Bischof C H, Easter R C, Wu P T. Sensitivity analysis of photochemical indicators for O3 chemistry using automatic differentiation. Journal of Atmospheric Chemistry, 2005, 51(1): 1–41
https://doi.org/10.1007/s10874-005-5440-8
[1] Ling Qi, Zhige Tian, Nan Jiang, Fangyuan Zheng, Yuchen Zhao, Yishuo Geng, Xiaoli Duan. Collaborative control of fine particles and ozone required in China for health benefit[J]. Front. Environ. Sci. Eng., 2023, 17(8): 92-.
[2] Yuanxin Zhang, Fei Li, Chaoqiong Ni, Song Gao, Shuwei Zhang, Jin Xue, Zhukai Ning, Chuanming Wei, Fang Fang, Yongyou Nie, Zheng Jiao. Prediction and cause investigation of ozone based on a double-stage attention mechanism recurrent neural network[J]. Front. Environ. Sci. Eng., 2023, 17(2): 21-.
[3] Jin Xue, Fangting Wang, Kun Zhang, Hehe Zhai, Dan Jin, Yusen Duan, Elly Yaluk, Yangjun Wang, Ling Huang, Yuewu Li, Thomas Lei, Qingyan Fu, Joshua S. Fu, Li Li. Elucidate long-term changes of ozone in Shanghai based on an integrated machine learning method[J]. Front. Environ. Sci. Eng., 2023, 17(11): 138-.
[4] Majid Mustafa, Huijiao Wang, Richard H. Lindberg, Jerker Fick, Yujue Wang, Mats Tysklind. Identification of resistant pharmaceuticals in ozonation using QSAR modeling and their fate in electro-peroxone process[J]. Front. Environ. Sci. Eng., 2021, 15(5): 106-.
[5] Byungjin Lee, Eun Seo Jo, Dong-Wha Park, Jinsub Choi. Submerged arc plasma system combined with ozone oxidation for the treatment of wastewater containing non-degradable organic compounds[J]. Front. Environ. Sci. Eng., 2021, 15(5): 90-.
[6] Jiangbo Jin, Yun Zhu, Jicheng Jang, Shuxiao Wang, Jia Xing, Pen-Chi Chiang, Shaojia Fan, Shicheng Long. Enhancement of the polynomial functions response surface model for real-time analyzing ozone sensitivity[J]. Front. Environ. Sci. Eng., 2021, 15(2): 31-.
[7] Kun Zhang, Jialuo Xu, Qing Huang, Lei Zhou, Qingyan Fu, Yusen Duan, Guangli Xiu. Precursors and potential sources of ground-level ozone in suburban Shanghai[J]. Front. Environ. Sci. Eng., 2020, 14(6): 92-.
[8] Yulu Qiu, Zhiqiang Ma, Weili Lin, Weijun Quan, Weiwei Pu, Yingruo Li, Liyan Zhou, Qingfeng Shi. A study of peroxyacetyl nitrate at a rural site in Beijing based on continuous observations from 2015 to 2019 and the WRF-Chem model[J]. Front. Environ. Sci. Eng., 2020, 14(4): 71-.
[9] Xuehao Zhao, Yinhu Wu, Xue Zhang, Xin Tong, Tong Yu, Yunhong Wang, Nozomu Ikuno, Kazuki Ishii, Hongying Hu. Ozonation as an efficient pretreatment method to alleviate reverse osmosis membrane fouling caused by complexes of humic acid and calcium ion[J]. Front. Environ. Sci. Eng., 2019, 13(4): 55-.
[10] Siyu Chen, Lee Blaney, Ping Chen, Shanshan Deng, Mamatha Hopanna, Yixiang Bao, Gang Yu. Ozonation of the 5-fluorouracil anticancer drug and its prodrug capecitabine: Reaction kinetics, oxidation mechanisms, and residual toxicity[J]. Front. Environ. Sci. Eng., 2019, 13(4): 59-.
[11] Jiajun Liu, Long Wang, Yun Zhu, Che-Jen Lin, Carey Jang, Shuxiao Wang, Jia Xing, Bin Yu, Hui Xu, Yuzhou Pan. Source attribution for mercury deposition with an updated atmospheric mercury emission inventory in the Pearl River Delta Region, China[J]. Front. Environ. Sci. Eng., 2019, 13(1): 2-.
[12] In-Sun Kang, Jinying Xi, Hong-Ying Hu. Photolysis and photooxidation of typical gaseous VOCs by UV Irradiation: Removal performance and mechanisms[J]. Front. Environ. Sci. Eng., 2018, 12(3): 8-.
[13] Fariba Mahmoudkhani, Maryam Rezaei, Vahid Asili, Mahsasadat Atyabi, Elena Vaisman, Cooper H. Langford, Alex De Visscher. Benzene degradation in waste gas by photolysis and photolysis-ozonation: experiments and modeling[J]. Front. Environ. Sci. Eng., 2016, 10(6): 10-.
[14] Jingyun FANG,Huiling LIU,Chii SHANG,Minzhen ZENG,Mengling NI,Wei LIU. E. coli and bacteriophage MS2 disinfection by UV, ozone and the combined UV and ozone processes[J]. Front.Environ.Sci.Eng., 2014, 8(4): 547-552.
[15] Kai LIU, Fengkui DUAN, Kebin HE, Yongliang MA, Yuan CHENG. Investigation on sampling artifacts of particle associated PAHs using ozone denuder systems[J]. Front Envir Sci Eng, 2014, 8(2): 284-292.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed