a multisurface complexation reactive transport model on field data BertJan Groenenberg 1 Joris Dijkstra 2 Rob Comans 23 1 Alterra Wageningen UR 2 ECN 3 Wageningen University ID: 310660
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Slide1
Evaluation of a multisurface complexation reactive transport model on field data.
Bert-Jan Groenenberg1, Joris Dijkstra2, Rob Comans2,3
1
Alterra
Wageningen UR;
2
ECN;
3
Wageningen UniversitySlide2
IntroductionUse
of reactive transport models in risk assessment of transport of metals to ground- and surface waters:Site applicationsGeneric risk assessment e.g. derivation of maximum leaching of metals from building materials to groundwater in the Netherlands#Need for validation
#
Verschoor et al. 2008,
9th
International Symposium on
EnvironmentalGeotechnology
and Global Sustainable
Development,
Hong
KongSlide3
Outline
Outline of the modelDescription of the field siteEvaluation of the geochemical modelEvaluation of the reactive transport model by hindcast simulation of measured profilesSlide4
Process based Multisurface model
Multisurface models describe the various processes by combining separate models for the distinguished reactive surfaces (SOM, Al/Fe-oxides, clay, …)
Intrinsic model parameters derived from lab experiments on purified or synthetic model systems (Humic Acid, HFO, Goethite…)Slide5
Models: (2) Multisurface Model
1)
Meeussen., ES&T 2003Slide6
Multisurface Model (1)
Models in Framework ORCHESTRABinding to SOM and DOM: NICA-Donnan*Binding to clay: Donnan modelBinding hydrous oxides of Fe and Al: GTML Mineral equilibria and inorganic ion pair formation MINTEQ database
*)
Kinniburgh et al. ,Colloids Surf. 1999Slide7
Multisurface Model (2)
Models in Framework ORCHESTRABinding to SOM and DOM: NICA-DonnanBinding to clay: Donnan modelBinding hydrous oxides of Fe and Al: GTML Mineral equilibria and inorganic ion pair formation MINTEQ databaseSlide8
Multisurface Model (3)
Models in Framework ORCHESTRABinding to SOM and DOM: NICA-DonnanBinding to clay: Donnan modelBinding hydrous oxides of Fe and Al: GTLM *
Mineral equilibria and inorganic ion pair formation MINTEQ database
*)
Dzombak and Morel, 1990Slide9
Multisurface Model (4)
Models in Framework ORCHESTRABinding to SOM and DOM: NICA-DonnanBinding to clay: Donnan modelBinding hydrous oxides of Fe and Al: GTML Mineral equilibria and inorganic ion pair formation MINTEQ database *
*
Allison et al., US-EPA 1991Slide10
Transport Model
Soil column 0-150 cmDiscretisized in layers of 10 cm thicknessContinuous flowEvery timestep:TransportEquilibration between solution and solid phase (chemical model)Slide11
Field site
Waste water infiltration field 1930- 1970/1980 Used to clean sewage water from the city Tilburg before disposal to surface water
Contaminated with Cr and other metals. Cr from leather tanning industry
Used for cattle (1930-2000)
2000 plantation of forestSlide12
MeasurementsProfile 0-150 cm
Soil solid phase:Metal contents total (AR) and reactive (0.43 M HNO3)Soil organic matter: total and HA, FAAl and Fe (hydr)-oxides oxalate, dithionite and ascorbic acidClay contentSolution: 0.002 M CaCl2 extracts and centrifugation:pH, macro ions (Al, Fe, Ca, P, S,....)DOC and FA and HA thereinmetalsSlide13
Evaluation geochemical modelPrediction of total solution concentrations from:
Total reactive metal in soil (0.43 M HNO3)SOMAl/Fe-(hydr)oxidesClay contentpHDOC / FA and HASlide14
Evaluation geochemical modelSlide15
Evaluation geochemical modelSlide16
Evaluation geochemical modelSlide17
Hindcast simulation
Start in 1930 (start use as infiltration fields) background levels estimated Loading with metals 1930-1980: total load = reactive metal in profile – background 19301980-2000 use as pastry pH maintained at 62000 plantation of forest (pH decreases)2003 experimental acidification field plot2009 measurement soil profileSlide18
Hindcast simulation
Period 1Period 2Period 3acidified
time
50 years
20 years
10/ 3 years
7 years
Precipitation excess
2700 mm/y
300 mm/y
300 mm/y
300 mm/y
DOC
150-20 mg/L
150-20 mg/L
150-20 mg/L
150-20 mg/L
pH
6
6
5
4Slide19
Hindcast simulationSlide20
Hindcast simulationSlide21
Hindcast simulationSlide22
Hindcast simulationSlide23
SensitivitySlide24
Conclusions / further research
Geochemical model predicts solution concentrations satisfactorily except for PbModel is able to “predict” present concentration profiles for most cationic metalsSolubilization by acidification is reproduced well by the modelSlide25
Conclusions / further research
Sensitivity analysis shows that DOC is a critical input parameterPb needs further attentionColloidal transport / agingEvaluation can be improved for better defined systems (known inputs, water fluxes etc.)Slide26
Thank you for your attention!© Wageningen UR