Models-3 Workshop, Swindon, UK, 13.03.2007 Markus Quante Using CMAQ for modelling the polycyclic...
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Transcript of Models-3 Workshop, Swindon, UK, 13.03.2007 Markus Quante Using CMAQ for modelling the polycyclic...
Models-3 Workshop, Swindon, UK, 13.03.2007 Markus Quante
Using CMAQ for modelling the polycyclic aromatic hydrocarbon distribution over coastal Europe: Status and prospects
M. Quante, A. Aulinger, V. Matthias, I. Bewersdorff
Institute for Coastal ResearchGKSS Research CenterGeesthacht, Germany
Models-3 Workshop, Swindon, UK, 13.03.2007 Markus Quante
GKSS is member of the Helmholtz Association
Material ResearchPolymer ResearchCoastal Research
GKSS Research Center
Models-3 Workshop, Swindon, UK, 13.03.2007 Markus Quante
Main objectives
Why PAHs ?
Model modification and set up
Emissions
Model studies and selected results
Comparison with measurements
PAHs from ship traffic
Conclusions and outlook
Outline
Models-3 Workshop, Swindon, UK, 13.03.2007 Markus Quante
Estimation and assessment of depositions andconcentration levels of PAHs in coastal ecosystemsat long time scales
Evaluation of past and forecast of future developments (scenarios)Contribution to „cycle of substances“ in coastal ecosystems (air-sea interface)Contribution of ships to PAHs in coastal regionsDecision support for regulating authorities
Main objectives
Models-3 Workshop, Swindon, UK, 13.03.2007 Markus Quante
Benzo(a)Pyrene often chosen as a lead substance for PAHs
PAHs imperil humans and ecosystems
– highly bioaccumulative (food chain)
– persistent in various environmental compartments
– significant adverse effects already at low doses
(Chlorofiles: A few microgram per liter seawater is enough to cause problems in the growth of plankton)
• carcinogenic
• impair immune system
• impair reproduction
Why PAHs ?
B(a)P
Object of international reduction conventions
Models-3 Workshop, Swindon, UK, 13.03.2007 Markus Quante
MM5
Emissions
additionally in preparation
CLM of DWD (German Weather Service)
own
emission module
for B(a)P
Model set up for annual simulationsmodel components
CMAQ version 4.5 with GKSS B(a)P module
MM5 embedded in ERA-40 data for retrospective runs
Models-3 Workshop, Swindon, UK, 13.03.2007 Markus Quante
MM5:
•MRF PBL scheme•Reisner 2 microphysics•Kain and Fritsch 2 cumulus scheme•Noah LSM•4D grid nudging (ERA40)•BC from ERA 40
CMAQ:
•Version 4.5•CB IV chemistry scheme•Aero 4 module incl. SOA formation•Anthrop. emissions from IER Stuttgart based on EMEP and EPER data base•Natural emissions from GEIA and RETRO database•B(a)P emissions from Denier van der Gon et al. (TNO report, 2005)
Model set up for annual simulationsphysical schemes and parameterisations
Models-3 Workshop, Swindon, UK, 13.03.2007 Markus Quante
Emphasis on mass transfer of B(a)P between the gaseous and the particulate phase
B(a)P partitioning
B(a)P degradation in gas phase to be added
Models-3 Workshop, Swindon, UK, 13.03.2007 Markus Quante
18x18 km2 grid
54x54 km2 grid 30 vertical layers up to 100 hPa
MM5 and CMAQ for annual simulationsmodel domain
Models-3 Workshop, Swindon, UK, 13.03.2007 Markus Quante
• Residential heating• Road transport• Electricity generation• Iron and steel production• Incineration of household waste• Ship engines• Oil platforms• Wildfires
Emissionsmajor sources
PAHs are formed by any incomplete combustion
B(a)P emissions in 2000
Models-3 Workshop, Swindon, UK, 13.03.2007 Markus Quante
0 10 20 300
0.01
0.02
0.03
0.04
B(a
)P e
mis
sion
[g
s-1]
100 110 120 190 200 210 280 290 300
Julian D ay
January April Ju ly O ctober
B(a)P emissions for 4 months around Kosetice, CZ, 2000
nitrogen, sulfur, VOCs and aerosols from IER Stuttgart (base EMEP and EPER)
B(a)P emissions are based on annual gridded values from Denier van der Gon et al. (2005)
Modifications for B(a)P:
- annual cycle
- weekly cycle
- diurnal cycle
residential heating: ac following temperature, wc, dc following CO
industry: wc following NO
road traffic: wc, dc following NO
Emissionsmodelling approach
Models-3 Workshop, Swindon, UK, 13.03.2007 Markus Quante
CMAQ results: B(a)P concentrations
total annual amount of emitted B(a)P was the same for both model runs (based on 2000 data)
CMAQ with 12 vertical layers 10-15% lower concentrations
for lowest layer
Models-3 Workshop, Swindon, UK, 13.03.2007 Markus Quante
CMAQ results: B(a)P wet deposition
total annual amount of emitted B(a)P was the same for both model runs (based on 2000 data)
Models-3 Workshop, Swindon, UK, 13.03.2007 Markus Quante
CMAQ results vs. EMEP measurements: B(a)P concentrations
stations, 2000
South East Germany
2-day means
South West Sweden
monthly means
model
model
measurements
measurements
B(a)P [ngm-3]
B(a)P [ngm-3]
0
0
2
4
Models-3 Workshop, Swindon, UK, 13.03.2007 Markus Quante
Station mean rms bias corr IOA Northern Germany 0.100 0.639 0.555 0.681 0.473Czech Republic 0.169 0.644 0.497 0.553 0.568Finland 0.006 0.078 0.058 0.869 0.471Lithuania 0.808 0.526 -0.453 0.715 0.495South East Germany 0.722 0.730 0.097 0.739 0.784South West Sweden 0.078 0.218 0.206 0.710 0.504East Sweden 0.048 0.592 0.544 0.304 0.405
B(a)P in ng/m3, CMAQ model results vs. EMEP measurements, statistical quality indicators
times series year 2000
CMAQ results vs. EMEP measurements: B(a)P concentrations
statistics
Models-3 Workshop, Swindon, UK, 13.03.2007 Markus Quante
Illmitz, Austria, 117 m aslMean (meas) 8.55 g/m3
bias 1.15 g/m3
rms error 5.73 g/m3
Correlation 0.56IOA 0.73
Neuglobsow, Germany 62 m aslMean (meas) 6.99 g/m3
bias 8.68 g/m3
rms error 12.38 g/m3
Correlation 0.81IOA 0.63
CMAQ results vs. EMEP measurements: NO2 concentrations
stations, daily means 2000model
measurements
model
measurements
NO2 [gm-3]
NO2 [gm-3]
60
60
0
0
Models-3 Workshop, Swindon, UK, 13.03.2007 Markus Quante
U-wind
monthly mean of correlation and
bias vs. radiosonde data
sorted by station
Check of meteorological model parametersvertical profiles
88 radiosonde stations from the igra data base
V-wind
Models-3 Workshop, Swindon, UK, 13.03.2007 Markus Quante
vessel movement database from Lloyds Marine Intelligent Unit (LMIU) for the year 2000.
ship emission rates after Cooper and Gustafsson (2004)
Ship emissions are expected to contribute to a large extent to the total emissions of polycyclic aromatic hydrocarbons (PAHs), especially in marine and coastal areas.
PAHs from ship trafficongoing PhD research project
Goal:
assessment of the contribution of ship emmissions to PAH concentrations and deposition
Assessment of past and future relevance
Models-3 Workshop, Swindon, UK, 13.03.2007 Markus Quante
• Implementation of degradation in gas phase• Interface between CLM and CMAQ under construction• Assessment of the influence of ship emissions• Long-term model runs covering several decades (1970 to 2005)• Setting up different emission scenarios• Simulations with climate scenarios (ECHAM 5/CLM to 2050)• Further PAHs, nutrients, chemical aerosol composition
Conclusions& Outlook• B(a)P module has been added to CMAQ
• Annual runs have been conducted for Europe
• Comparison with measurements
B(a)P in general too high conc. but satisfactory correlations
NO2 in general good agreement
PM10 lower than measurements ? B(a)P Emissions ?
Models-3 Workshop, Swindon, UK, 13.03.2007 Markus Quante
Thank You !
Questions ?