Air pollution and heavy haze have become China’s biggest environmental problem
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Transcript of Air pollution and heavy haze have become China’s biggest environmental problem
The impact of the thermal power industries from the Beijing-
Tianjin-Hebei regions on Beijing haze studied by the two-way
coupled WRF-CMAQ model (Preliminary results)
Shaocai Yu1, Qingyu Zhang1, Renchang Yan1, Pengfei Li1, Bixin Chen1, Yanqun Li1, Weiping Liu1, David Wong2, Kiran Alapaty2, Jon Pleim2 and Rohit Mathur2
1 Research Center for Air Pollution and Health, College of Environmental and Natural Resources, Zhejiang University, Hangzhou, Zhejiang 310058, P.R. China.
2Atmospheric Modeling and Analysis Division, NERL, U.S. EPA, RTP, NC 27711, USA
Air pollution and heavy haze have become China’s biggest environmental problem
Introduction (Motivation)
Number of haze days in 2013 are the biggest since 1960
2012
Beijing
Shanghai
WenzhouFuzhou
NanjingChongqing
Xian
Nanchang Guangzhou
Taiyuan Tianjin
Chengdu
Hazy days in 2012:103-225 day
Air pollution and heavy haze have become China’s biggest environmental problem
Introduction (Motivation)
AQI on 10/24/2014, 8:00, major pollutant is PM2.5
Beijing-Tianjin-Hebei (BTH) regions
Superior (green), good (yellow), slight ( Orange), moderate (red), severe (purple), serious (maroon)
Objectives
Study the impact of the thermal power industries from the Beijing-Tianjin-Hebei regions on Beijing haze formation by the two-way coupled WRF-CMAQ model.
Evaluations of model performance on PM2.5, PM10, O3, SO2, NO2, CO, AQI and aerosol optical depth (AOD) by comparing with surface and satellite observation over the eastern China.
Model Description (Configuration)
WRF, CMAQ models
Weather Research Forecast (WRF) model Most popular meteorological model (V3.4)
U.S. EPA CMAQ: (public release)most popular air quality CTM model (V5.0)
Aerosol indirect effects on grid-scale clouds have been implemented in the two-way coupled WRF-CMAQ model:
“Aerosol indirect effect on the grid-scale clouds in the two-way coupled WRF-CMAQ: model description, development, evaluation and regional analysis” by Yu et al., (2014)
Meteorological ModelWRF modeling System:
x=36, 12 km, 4km29 layersLand-Surface: PX LSMPBL: ACM2Cloud Physics: MorrisonCumulus: Kain-Fritsch, not for 4kmShortwave: RRTMg, or CAMLongwave: RRTMg, or CAM
Coupler
Chemical Transport ModelCMAQ Modeling System:
Photochemistry: CB05 59 organic and inorganic species, 156 chemical reactions
Aerosol module: AE6 3 lognormal modes, organic and inorganicEmission: SMOKE In-line emission for biogenic species
AQPREPPrepares virtual CMAQ compatible input met. files
CMAQ-mixactivate:cloud drop, ice number conc.
Direct forcing:Aerosol size, composition, conc.
Two-way coupled WRF-CMAQ modeling System (Interaction and feedback) (Yu et al., 2014)
Model Description (Configuration)
Model Description (Configuration)China WRF-CMAQ simulations and emissions
WPS runs: NCEP/NCAR Reanalysis
Surface analysis nudging: NCEP ADP Operational Global Surface Obs
Emissions over the eastern Asia: Anthropogenic: Emissions Database for Global
Atmospheric Research (EDGAR): HTAP V2 (0.10*0.10)Biogenic VOC: GEIA (Global Emission Inventory Activity)
Observations
National Surface Observation network PM2.5, PM10, SO2, CO, NO2, O3
Satellite observations
CERES data: • COD, cloud fraction, cloud and ice effective radius
MODIS, MISR, CALIOP data:
• AOD, LWC, cloud effective radius, COD, ice particle size
Model domain
36 km domain over eastern Asia
Simulation period: 2013
12 km domain over eastern China
4 km domain over BTH region
Results (Preliminary)PMfine, CO and SO2, and NO2missions over the domain
PMfine
NO2
CO
SO2
Results (Preliminary)Model simulation results over the domain (1/2/2013)
NOx
PM2.5
CO
SO2
Results (Preliminary)Observations of PM2.5 in Beijing
Weekly heavy haze: 2/20-2/27/2014
PM2.5 observations at 10 sites in Beijing: 1/20/2013-5/27/2014
0100200300400500600700800
PM
2.5 (g
m-3
)
0
200
400
600
800
1000
PM
10 (
g m
-3)
0
50
100
150
200
250
SO
2 (g
m-3
)
0
2
4
6
8
10
12
CO
(m
g m
-3)
0
50
100
150
200
250
300
NO
2 (g
m-3
)
0
20
40
60
80
100
Feb/8 Feb/12 Feb/16 Feb/20 Feb/24 Feb/28
O3 (g
m-3
)
Time (local time, 2014)
Results (Preliminary)Observations of PM2.5 in Beijing
Study period: 2/8-2/27/2014
Weekly heavy haze: 2/20-2/27/2014
PM2.5
PM10
SO2
CO
NO2
O3
Results (Preliminary)Impact of local and transport sources on the haze formation in Beijing
The results of PM2.5 in Beijing (Preliminary)
Air mass back trajectory cluster analysisClean (PM2.5<75 g m-3)
Haze (PM2.5:75-200 g m-3)
Heavy Haze (PM2.5>200 g m-3)
Five clusters: S (South), E (East), W-NW (West-NouthWest), NW (NorthWest) and N (North).
Study period: 2/8-2/27/2014Weekly heavy haze: 2/20-2/27/2014
All Data
The results of PM2.5 in Beijing (HYSPLIT)
Air mass back trajectory cluster analysis
Percent (%)
Mean_PM2.5
(μg m−3)P_Percent
(%)WS
(m s-1)
All dataN 16.1 15.93 0.1 8.7
N-NW 7.0 64.16 2.9 4.2NW 3.6 18.33 0.1 15.4E 30.1 170.91 36.7 1.3S 42.5 268.4 60.2 2
CleanPM2.5<75 g m-3
N 74.2 15.26 1 9.1N-NW 7.5 54.32 1 5.6NW 18.3 18.33 1 15.4
HazePM2.5:75-200 g m-3
N 4.3 22.55 0 4N-NW 16.4 66.77 9.0 3.8
E 43.5 95.31 41.9 1.3S 35.8 142.57 49.1 2.5
Heavy Haze PM2.5>200g m-3
E 34.4 318.56 34.4 1.3S 65.6 291.81 65.6 1.8
The results of PM2.5 in Beijing: PSCF and CWT analyses
PSCF CWT
CleanPM2.5<75 g m-3
HazePM2.5:75-200 g m-3
Heavy Haze PM2.5>200g m-3
Contacts:
Brian K. Eder
email: [email protected]
www.arl.noaa.gov/
www.epa.gov/asmdnerl
Conclusions (Preliminary) Two-way coupled WRF-CMAQ has been set up to simulate
air pollution over the eastern Asia for some days but has some problems with “NaN”
Based on the trajectory cluster, PSCF and CWT analysis for weekly haze (2/20-2/27/2014) at BeijingFive clusters: S, E, W-NW, NW, and N Heavy haze from SW province (such as Handan, Baoding
etc., Hebei)Haze from S and SW provinces (such as Heze, Liaocheng
etc., Shandong, Baoding etc., Hebei)Clean air from NW and N with very fast air massesTherefor, need control emissions in Hebei and Shandong
We will continue model test and use the model to explain the sources and formation of haze in BTH region in the future
Hope to finish the China simulations for 2013 soon