Although groundwater velocities vary over a wide range of spatial scales it is generally only feasible to model the largest variations explicitly. Smaller-scale velocity variability must be accounted for indirectly, usually by increasing the magnitude of the dispersivity tensor (i.e. by introducing a so-called macrodispersivity). Most macrodispersion theories tacitly assume that a macrodispersivity tensor which works well when there is only small-scale velocity variability will also work well when there is larger-scale variability. We analyze this assumption in a high resolution numerical experiment which simulates solute transport through a two-scale velocity field. Our results confirm that a transport model which uses an appropriately adjusted macrodispersivity can reproduce the large-scale features of a solute plume when the velocity varies only over small scales. However, if the velocity field includes both small and large-scale components, the macrodispersivity term does not appear to be able to capture all of the effects of small-scale variability. In this case the predicted plume is more well mixed and consistently underestimates peak solute concentrations at all times. We believe that this result can be best explained by scale interactions resulting from the nonlinear transformation from velocity to concentration. However, additional analysis will be required to test this hypothesis.
机构:
MIT, Dept Civil & Environm Engn, Ralph M Parsons Lab, Cambridge, MA 02139 USAMIT, Dept Civil & Environm Engn, Ralph M Parsons Lab, Cambridge, MA 02139 USA
McLaughlin, D
Ruan, F
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机构:MIT, Dept Civil & Environm Engn, Ralph M Parsons Lab, Cambridge, MA 02139 USA
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VTT Tech Res Ctr Finland, Espoo, FinlandVTT Tech Res Ctr Finland, Espoo, Finland
Kiviluoma, Juha
Holttinen, Hannele
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VTT Tech Res Ctr Finland, Espoo, FinlandVTT Tech Res Ctr Finland, Espoo, Finland
Holttinen, Hannele
Weir, David
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Norwegian Water Resources & Energy Directorate, Dept Energy, Oslo, NorwayVTT Tech Res Ctr Finland, Espoo, Finland
Weir, David
Scharff, Richard
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KTH Royal Inst Technol, Elect Power Syst, Stockholm, SwedenVTT Tech Res Ctr Finland, Espoo, Finland
Scharff, Richard
Soder, Lennart
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Royal Inst Technol, Elect Power Syst, Stockholm, SwedenVTT Tech Res Ctr Finland, Espoo, Finland
Soder, Lennart
Menemenlis, Nickie
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Inst Rech Hydro Quebec, Montreal, PQ, CanadaVTT Tech Res Ctr Finland, Espoo, Finland
Menemenlis, Nickie
Cutululis, Nicolaos A.
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DTU, Wind Energy, Roskilde, DenmarkVTT Tech Res Ctr Finland, Espoo, Finland
Cutululis, Nicolaos A.
Lopez, Irene Danti
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Univ Coll Dublin, Elect Res Ctr, Dublin, IrelandVTT Tech Res Ctr Finland, Espoo, Finland
Lopez, Irene Danti
Lannoye, Eamonn
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Elect Power Res Inst, Palo Alto, CA USAVTT Tech Res Ctr Finland, Espoo, Finland
Lannoye, Eamonn
Estanqueiro, Ana
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UESEO, LNEG, Lisbon, SpainVTT Tech Res Ctr Finland, Espoo, Finland
Estanqueiro, Ana
Gomez-Lazaro, Emilio
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机构:
Castilla La Mancha Univ, Renewable Energy Res Inst, Albacete, Spain
Castilla La Mancha Univ, DIEEAC EDII AB, Albacete, SpainVTT Tech Res Ctr Finland, Espoo, Finland
Gomez-Lazaro, Emilio
Zhang, Qin
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State Grid Corp China, Beijing, Peoples R ChinaVTT Tech Res Ctr Finland, Espoo, Finland
Zhang, Qin
Bai, Jianhua
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State Grid Energy Res Inst Beijing, Beijing, Peoples R ChinaVTT Tech Res Ctr Finland, Espoo, Finland
Bai, Jianhua
Wan, Yih-Huei
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Natl Renewable Energy Lab, Transmiss & Grid Integrat Grp, Golden, CO USAVTT Tech Res Ctr Finland, Espoo, Finland
Wan, Yih-Huei
Milligan, Michael
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Natl Renewable Energy Lab, Transmiss & Grid Integrat Grp, Golden, CO USAVTT Tech Res Ctr Finland, Espoo, Finland