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Modelling Base Cations in Europe - A first approach … and what wind blown dust has to do with this.
Maarten van Loon and Leonor Tarrasón (met.no/EMEP) Max Posch (RIVM/CCE) 6th TFMM meeting, Zagreb, Croatia, 4-7 April 2005
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Outline Why model base cations? Approach Sources of base cations
Wind blown dust Results & Discussion
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Why model base cations? Base cations play an important role in neutralizing acidity. Need to identify sources and their contributions. Present procedure based on measurements: of wet deposition – unsatisfactorily different assumptions followed in the countries. ==>Request for model estimates from WGE
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Use of the EMEP Unified Model
Approach Use of the EMEP Unified Model Extention with Ca, Mg, K and Na in the fine and coarse mode Using the same physical parametrisations Dry and wet deposition (as for fine/coarse particles) Advection No chemistry taken into account Routines for handling emissions developped Boundary conditions from the global Oslo-CTM. Inventorying emissions Natural Anthropogenic
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Sources of base cations
Wind Blown Dust (WBD) seems to be the dominant source in large parts of Europe. WBD of various origin: Saharan dust (partly within the model area, partly through boundary conditions) From agricultural soils Possibly also from other ”bare” soils Other sources: Sea salt Anthropogenic sources
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dust storm in the Sahara Desert along the Algeria/Niger
Source: NASA dust storm in the Sahara Desert along the Algeria/Niger border (25.0N, 10.0E)
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WBD – illustration of the process
Picture loant from WERU
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WBD parametrisation (I)
Horizontal flux (”saltation”): Fh = const·Klim · u*3 ·(1-R)(1+R)2 with R = u*,threshold/u* u*,threshold the threshold friction velocity, which is dependent on soil, soil moisture and Z0 Klim represents the supply of soil aggregates (taken 1 for desert, 0.02 for agricultural soils and 0.1 otherwise)
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WBD parametrisation (II)
Vertical flux (”sandblasting”): α·Fh α dependent on soil characteristics. Values in literature range from 10-5 to 10-7. In this study taken constant: α = 5 · 10-5 Size distribution: function of u* and soil characteristics. In this study ”average” profile taken Percent of emitted mass that consists of particles < 10μm for different values of u*
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WBD parametrisation (III)
Right: % in fine mode Bottom: % in coarse mode
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Base cation content of the soil
Many soil types, with different percentages of b.c. For Ca quite complete, but not for Mg, K and Na Therefore emphasis on Ca in presenting the results
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Results Simulation for the year 2000
Measurements of concentra-tions in precipitation from: EMEP network ICP-forest network Seasalt correction applied (next slide) Computations done for different sources separately. (linear process) Observed Ca concentrations in precip. in 2000. From work by NILU/CCC
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Sea salt - correction Wet deposition of Na seems to be underestimated by a factor of ~8 Air concentrations of Na are generally underestimated by a factor of ~2
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Ca – comparison with measurements annual wet deposition
104 EMEP stations, 334 ICP-Forest locations
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Results - statistics Spatial correlation Mean flux all EMEP ICP-F Obs.
model bias Ca 0.73 0.78 427 362 -15% Mg 0.72 152 145 -5% K 0.53 n.a. 124 72 -42% Na 1005 984 -2% Taking out WBD leads to low(er) correlations!
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Modelled origin of Ca deposition
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% contributions Ca UL: WBD-EUR, UR: WBD-rest, LL: bound, LR: ant.
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PM10 – from a global scale model
Average computed PM10 concentration (Oslo-CTM) for the year 2000 (source: A. Grini)
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Conclusions Good performance for in particular Ca
Evidences that WBD is important indeed Effort needed to obtain better information on soil content Refine input to WBD parametrisation Consistent u* and z0 More information on soil characteristics and content Proper assignment to fine and coarse mode Need for addition of ”verycoarse” mode Sea salt Other mechanism than wash/rain out??? Air concentrations Seem too high (factor 2-6 for Ca seen), but … based on very few measurements Potentially large contributions to PM concentrations, al least episodically
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