7th International DOAS Workshop

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Presentation transcript:

7th International DOAS Workshop 6-8 July 2015, Brussels Study on distribution and transport of precursors SO2 and NO2 in North China Plain using mobile DOAS Pinhua Xie, Ang Li, Fengcheng Wu, Zhaokun Hu,Fusheng Mou, Jie Zhang, Hao Chen, Jin Xu, Jianguo Liu, Wenqing Liu Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences

Outline Introduction Mobile DOAS instruments Field Campaigns - CAREBEIJING 2013 Results and Discussions Summary

Introduction China is facing with the regional and complex air pollution 2013/10/17-21 (XI’an) 2013/12/01-07 (YRD) 2014/02/19-26 (Beijing) PM2.5 Number of days of haze With the last 20 years very fast economy growing, now China is suffering severe air pollution problems, which is in regional and complex air pollution. Such as a large area of haze, this map shows that the number of days of haze in Chnia in 2013. most haze aera in east of China. Like JJJ, Yz, Pearl. Among them North China Plain is the most severe part. The annual average concentration of PM2.5 are much exceed the standard. China was one of the quickest economically developing and urbanizing countries during the last 20 years with mega cities suffering on high air pollution levels. Jing-Jin-Ji area as one of the tree most developed area, the issues of air pollution become more and more serious, like sever haze. It has affected the health and life style of millions seriously, drawing extensive attention by China even national wide people. >100

Introduction SO2, NO2 are important precursors of PM2.5 PM2.5 Chemical Compositions: SO42- and NO3- contribute nearly 50% to PM2.5 WANG et al, 2014, SCIENCE CHINA Many SO2 and NO2 sources locate in North China Plain, strongly affected the air quality of Beijing under specific wind field. Wu et al., 2011, ACP In order to know better about the sources and their influence to Beijing, it is necessary to investigate the spatial and temporal distribution of SO2 and NO2 in NCP. Zhang et al., 2014, ACP Su Fuqing et al, 2004

Introduction Mobile DOAS Estimation of pollutant emissions from point sources or fugitive emission sources (such as: city, industrial area etc.) Regional distributions of pollutants (SO2, NO2 etc. ) Transport process in combination with trajectory model Validation of satellite data Mobile DOAS was used to investigate the distribution of SO2 and NO2 VCDs, transport in in North China Plain (NCP).

Mobile DOAS instruments Mobile DOAS Instrument (I) -zenith observation Mobile DOAS △<±0.1℃ Weather Station Telescope Temperature stabilizer Our mobile DOAS system include: Telescope: 80mm diameter and 170mm focal length, field of view about 0.1° a UV/VIS detector spectrometer unit: -Ocean Optics HR2000 spectrometer, spectral resolution 0.6nm, wavelength range: 290nm~420nm - temperature stabilizer: precision ±0.1℃ GPS miniature weather station: wind speed, wind direction, temperature, humidity, and pressure DC +12V battery: +12V direct current is converted to AC by a power converter to power the entire system

Mobile DOAS instruments Spectral Analysis –zenith observation Reference spectra Source NO2 Vandaele, 298K (Io-correction using a SCD of 1e17 molec/cm²) Vandaele, 220K O3 deconvoluted Bogumil, 223K (Io-correction using a SCD of 1e20 molec/cm²) Bogumil, 243K (Io-correction using a SCD of 1e20 molec/cm²) O4 Hermans et al HCHO Meller BrO Fleischmann Ring calculated Wavelength range 338-370 nm fit for NO2 and SO2 recorded at 13:04 on 12 June, 2013 Reference spectra Source SO2 Bogumil 293K, 2003 NO2 HCHO O3 Ring calculated Wavelength range 310-324 nm The spectrum in the “clean area” is chosen as the Frauenhofer reference spectrum which contains minimum concentration of SO2 and NO2. The reference spectrum can be corrected by MAX-DOAS if it is setup along the mobile DOAS measurement route,

Mobile DOAS instruments Mobile DOAS Instrument (II)-Mobile MAX-DOAS Mobile DOAS with Stabilized Platform GPS antenna 1 GPS antenna 2 high precision turntable attitude feedback Obtained the absolute VCD Detected more gas due to slant light-path absorption aerosol and trace gas profile retrieval (dependence on experimental environment) Gyroscope+GPSPID  Stabilized Platform Specification: Elevation angle: 90°, 20° (30°,15°….) Spectral range: 290~420nm Gas: SO2, NO2, O4, HCHO, BrO,…. Precision of gyroscope: 0.1°, azimuth angle: 0.5°, elevation angle: 0.3°.

Field Campaigns 5 1 4 3 2 CAREBEIJING 2013 field campaign Beijing Shijiazhuang Baoding Jinan Dezhou Cangzhou Tianjin Zhuozhou China 5 1 4 3 Routes: 5 routes  1 cycle —Beijing-Shijiazhuang —Shijiazhuang-Dezhou —Dezhou-Baoding-Cangzhou —Cangzhou-Zhuozhou —Zhuozhou-Beijing 10:00-14:00 —Stable boundary layer — battery endurance June 11th-July 16th , 2013 All routes are expressways NCP is located in northern China, surrounding by Taihang mountains (at the west of NCP), Yanshan mountains (at the north of NCP) and Bohai sea (at the east of NCP). 2

The mobile platform also equipped some point instruments, like gaseous analyzers (SO2, NOx, CO etc.) and aerosol instruments (PM2.5, PM10 etc.) Inlet system Inner vehicle Our mobile DOAS system is installed on a diesel vehicle from PKU. This mobile platform also equipped some point isntruments... The data were chosen from good weather condition, clear sky and cloudy with cold fration less than 0.4 Roof of vehicle Wind: southerly wind (11 Jun~15 Jun, 24 Jun~26 Jun), northerly wind (17 Jun~21 Jun, 2 Jul~ 7Jul) Weather condition: clear or cloudy Cloud Fraction≤0.4:11 Jun~13 Jun,18 Jun,25 Jun~26 Jun,3 Jul,6 Jul, total 8 days

Results and Discussions CAREBEIJING 2013 field campaign Distributions of SO2 and NO2 VCD over NCP - Distributions over whole NCP - Spatial and temporal variations @ different routes (southwest route and southeast route) @ different wind field (south and north) Validation of OMI NO2 During the 2013 field campaign, the following results can be discussed...

Results and Discussions Distributions of SO2 and NO2 VCD over NCP Distributions over whole NCP Southerly wind 11 Jun.~15 Jun. 11 Jun.~15 Jun. Shijiazhuang JiNan Tianjin Beijing NO2 Shijiazhuang JiNan Tianjin Beijing SO2 The VCDs of SO2 and NO2 are affected by the cities. The VCDs increase near the cities. Some hot spots are found, like close to JiNan Serious air pollution in Hebei(southwest route). The VCD over southwest region is higher than those over southeast.

Results and Discussions Distributions of SO2 and NO2 VCD over NCP Distributions over whole NCP Northerly wind 17 Jun.~21 Jun. 17 Jun.~21 Jun. Shijiazhuang JiNan Tianjin Beijing SO2 Shijiazhuang JiNan Tianjin Beijing NO2 The VCDs of SO2 and NO2 reduce under northerly wind. The hot spot near the Ji’Nan disappear under the northerly wind.

Results and Discussions Distributions of SO2 and NO2 VCD over NCP Spatial and temporal variations @ southwest and southeast measurement route Beijing Southwest measurement route: Beijing-Baoding-Shijiazhuang Southerly wind: 6.11, 6.24 Northerly wind: 6.17, 7.2 Tianjin Baoding Southeast measurement route: Dezhou-Tianjin-Beijing Southerly wind: 6.13, 6.14, 6.26,7.4, 7.6 Northerly wind: 6.20 Shijiazhuang Dezhou

Results and Discussions Distributions of SO2 and NO2 VCD over NCP Spatial and temporal variations @ southwest measurement route SO2 VCD (mobile DOAS) SO2 surface concentration The SO2 VCD and near-surface concentration under southerly wind are 2.60 and 1.24 times of that under northerly wind, respectively. The SO2 VCDs have a distinct variations under southerly and northerly wind. It shows high elevated point sources along the southwest route. According to the “Box-chart”, the peak value indicates the elevated sources exist along the southwest measurement route. The upper layer SO2 existed, which can be transported to Beijing. We use the box- chart statistic calculation the data along the route on different days with south or north wind 6.24 6.11 6.17 7.2

Results and Discussions Distributions of SO2 and NO2 VCD over NCP Spatial and temporal variations @ southwest measurement route NO2 VCD from mobile DOAS NO2 concentration from point instrument The difference of NO2 VCD for southerly and northerly wind is lower than SO2. NO2 mainly located near surface.

Results and Discussions Distributions of SO2 and NO2 VCD over NCP Spatial and temporal variations @ southwest measurement route 石家庄 Southerly wind SO2 Northerly wind SO2 Beijing Beijing Beijing Beijing Shijiazhuang Shijiazhuang Shijiazhuang Shijiazhuang 6.11 6.24 6.17 7.2 Southwest route is a transport route. The air quality of Beijing is affected by the transport from southern area.

Results and Discussions Distributions of SO2 and NO2 VCD over NCP Spatial and temporal variations @ southeast measurement route SO2 VCD from mobile DOAS SO2 surface concentration Low scatted sources in the southeast route.

Results and Discussions Distributions of SO2 and NO2 VCD over NCP Spatial and temporal variations @ southeast measurement route NO2 VCD from mobile DOAS NO2 concentration from point instrument NO2 mainly located near surface, from traffic

Results and Discussions Distributions of SO2 and NO2 VCD over NCP Spatial and temporal variations @ southeast measurement route southwest route southeast route High emissions in the southwest is in accordance with our observation (left figure). Elevated sources are the major contributors to SO2 along southwest measurement route. Southwest measurement route is a transport route for Beijing. Low area sources are the contributors to SO2 along southeast measurement route Spatial distributions of anthropogenic SO2 in and around Beijing with horizontal resolution of 12 by 12 km2 cited by Wang et al., ACP, 2014

Results and Discussions 2. Validation of OMI NO2 Cloud fraction ≤0.4 Grid resolution= 0.1 Jun 11, 12, 13, 18, 25, 26, July 3 and July 6 total 8 days

Results and Discussions 2. Validation of OMI NO2 Mobile DOAS and OMI can capture the high and low value simultaneously.

Results and Discussions 3. Validation of OMI NO2 The both datasets have a good agreement, with correlation coefficient R2=0.65.

HOPE J3A 2014 field campaign —Beijing 5th Ring Road (98.58km) Routes: Two cycle —Beijing 5th Ring Road (98.58km) —Beijing 6th Ring Road (192km) 10:00-14:00 November 3th 2014 – January 12th 2015 Weather condition: clear or cloudy Dominated Wind field: north

Dominant wind direction Observation of NO2 distribution and emission flux during APEC Data Dominant wind direction Wind speed Emission of NO2 03/11/2014 south-west (260°) 1 m/s 0.59 kg/s 05/11/2014 north-west (280°) 1.1 m/s 0.51 kg/s 07/11/2014 south (90°) 1.3m/s 1.01 kg/s 21/12/2014 west (270°) 7 m/s 2.47 kg/s 27/12/2014 north-west (320°) 2 m/s 1.34 kg/s 31/12/2014 2.17 kg/s APEC A decrease in NO2 emission during the APEC, which caused by the strict control policies.

Results and Discussions Identification of emission source @ Beijing 5th and 6th Ring Road HOPE J3A 2014 field campaign NO2 VCD(ppmm) 2014年12月21日 NO2 2014年11月3日 SO2 2014年11月7日 2014年12月31日 NO2 NO2 NO2 NO2 Beijing 6th Ring Road NO2 NO2 NO2 Beijing 6th Ring Road The vehicle exhaust is the major source of NO2 in Beijing. The distribution of NO2 VCD of western 6th ring road is affected by the industrial source near Mentougou Area, which resulted in local NO2 VCD increase.

Summary In NCP, the SO2 and NO2 VCDs are higher along the southwest route than that along southeast route. However, the near-surface concentrations are higher along southeast route. Southwest route is a important transport pathway to affect air quality in Beijing. High elevated point sources are the major contributors to SO2 along southwest route. Low area sources are the contributors to SO2 along southeast route. Vehicle emission is main source of NO2. The SO2 and NO2 VCD enhance simultaneously indicates there is coal-combustion source. In Beijing City, SO2 is most transported from surrounding area whereas the NO2 is from local traffic. There is a good agreement between OMI and mobile DOAS. The correlation coefficient is R2=0.65. Mobile DOAS is a potential powerful tool for pollutant distribution investigation , tracking the plume as well as satellite validation. .

Case: “Tracking Haze” experimental observation(11 Oct.~18 Oct., 2014 ) Hefei-Zhengzhou-Wuhan-Hefei-JiNan The distributions of SO2 and NO2 are characterized by mobile DOAS rapidly. The SO2 and NO2 VCD was greatly influenced by the heavy industrial source emission. The emission sources are identified using this scanning measurement, like heavy emission sources are found in Wuhan.

Thank you for your attention! Acknowledgements: We would like to thank Prof. Zhu’s group (Peking University) for arrangement of the experiments and providing the data from point instruments during the CAREBEIJING 2013 field campaign. Anhui Institute of Optics & Fine Mechanics, Chinese Academy of Sciences