Eco Internal Publication #ECO-10-430-051501 1 User’s Manual for the Fate and Transport Software Developed by Eco by Zurab Khviengia Research Department, Eco & Associates, Inc. 1855 W. Katella Ave, Suite 350, Orange, CA 92867 [email protected]Phone: 1(714)289-0995 Fax: 1(714)289-0965 Abstract This is a brief description of the functional part of the software developed by Eco. This Microsoft Excel based graphical software is designed for groundwater contamination analysis for the sites with extended, irregular sources. The input consisting of the sampling data from multiple monitoring wells located around the perimeter of the contaminated site generates the output that provides concentration values on the grid that can be set up arbitrarily and is one of the parameters that user has to input. The generated output then is plotted on a three-dimensional graph. This pictorial representation of the plume when generated for consecutive moments of time can then be combined into the dynamic animated picture of the plume evolution Most of the software applications available today that perform similar analysis make certain assumptions about the plume or the source that generates it, restricting them to a certain behavior or a configuration. Given software is probably the most general in this regard. The only restriction it has is the assumption inherent to all analytical models, - that the groundwater velocity is constant, the sorption is linear and the biodegradation is of the first order. It also assumes that the dispersion coefficients are constant and that there are no sinks or external sources within the area of analysis. These are natural assumptions that do not hinder analysis and can hardly be avoided in any analytical model. This is a good tool for preliminary analysis; is very simple to use and intuitive to understand.
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Eco Internal Publication #ECO-10-430-051501
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User’s Manual
for the Fate and Transport Software Developed by Eco
This isabriefdescriptionof the functionalpartof thesoftwaredevelopedbyEco.ThisMicrosoftExcel based graphical software is designed for groundwater contamination analysis for the siteswith extended, irregular sources. The input consisting of the sampling data from multiplemonitoringwellslocatedaroundtheperimeterofthecontaminatedsitegeneratestheoutputthatprovidesconcentrationvaluesonthegridthatcanbesetuparbitrarilyandisoneoftheparametersthat user has to input. The generated output then is plotted on a three-dimensional graph. Thispictorialrepresentationoftheplumewhengeneratedforconsecutivemomentsoftimecanthenbecombined into the dynamic animated picture of the plume evolution Most of the softwareapplications available today that perform similar analysis make certain assumptions about theplume or the source that generates it, restricting them to a certain behavior or a configuration.Given software is probably the most general in this regard. The only restriction it has is theassumption inherent to all analytical models, - that the groundwater velocity is constant, thesorption is linearand thebiodegradation isof the firstorder. It alsoassumes that thedispersioncoefficientsareconstantandthattherearenosinksorexternalsourceswithintheareaofanalysis.These are natural assumptions that do not hinder analysis and can hardly be avoided in anyanalyticalmodel.Thisisagoodtoolforpreliminaryanalysis;isverysimpletouseandintuitivetounderstand.
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Introduction
This software was developed as the aid in one of Eco’s projects to analyze the plume ofcontaminated groundwater.Many parameters used in this software – their range and particularvalues–aretakenfromthedataobtainedatthatsite.Thesoftwarehasnotbeentestedforothersets of parameters and different choices of their values. Eco offers this software to everybodyinterested inoptimizingdataanalysis fortheirsites.Thesoftware isnovelandhasnoanalogsonthe markettoday.Itcaneasilybeadjustedtosimilarprojects,orbemodifiedtoincorporatenewsiteconfigurationsanddifferentincharactersamplingdata.
1MainFunctionalFeatures
Themainpartofthissoftwarecalculatesconcentrationsonthegridprovidedforitbytheuser.Thecoordinatesforthegridwillnecessarilydependontheparticularconfigurationofthesite,itssizeand the area in which the plume evolution is considered. For each point on the grid, theconcentration is calculated according to the analytical formula derived by the author. Thecalculationiscarriedinthebackgroundandtheresultsaredisplayedintheexceltable.
The next functional part of the software prepares a table in the format required by the three-dimensionalsurfaceplot inexcel. Itbuildsthistablebasedontheoriginalcoordinatesofthegridand calculated for them concentrations. While the original table and the grid can be three-dimensional,contain(x,y,z)coordinates,thistableacceptsonlytwocoordinatesandthereforeonevariable,most frequently z, has tobe specified as constant.Then the tabledisplays the valuesofconcentrationcorrespondingtotheplanar(x,y)coordinates.Thisdata isautomaticallydisplayedonthe3Dsurfacegraph,whichdepictstheplumeinthreedimensionsacrosstheareaspecifiedbythegrid.
Inreallife,itoftenbecomesimportanttohaveagoodpictorialrepresentationofthedatacollectedformthemonitoringwellsatthesite.Asanadditionalfeature,thissoftwareplotsthesamplingdataasathree-dimensionalbarchartonthesamegridonwhichthemonitoringwellscanbedisplayed.This enables the user to review the sampling data fromallmonitoringwells simultaneously andalsoviewtheirevolutionintime.
One more tool that the software provides for the user is the ability to view the source wellconcentrationsasthesynchronizedin3Dstripcharts,socalled3Dlinecharts.This facilitatestheunderstandingofthesourcebehavior,thedistributionoftheconcentrationacrossit,aswellasitsdynamics.
These two auxiliary tools are mostly pictorial and do not involve any extended analyticalcalculationsbasedonthemodel.
The groundwater velocity V is assumed to be constant. Groundwater is assumed to be flowinglinearlywithasteadyflow.Thisisacommonrestrictionforallanalyticalmodels.IrregularitiesinVorthedirectionoftheflowarehardtobeaccountedforanalyticallyandthusarerarelyconsideredwithintheframeworkofanalyticalmodeling.
Forourmodel,which isdevelopedonly for a single chemical compound, this table containsonlyonerow:biodegradationconstantofagivenchemical.(Seebelow)
Fig.2.ChemicalCharacteristicsTable
Lambda 1.00E-07
Biodegradationisthismodelglobalincharacter:thisconstantdoesnotdependonthecoordinates.Achangeinthisconstantchangestheconcertationglobally,ateachpointoftheconsideredarea.Inmany cases this constant does not play a crucial role in conducting the analysis if the chemicalunderconsiderationisrelativelystableandhencehasaverysmallbiodegradationconstant.
3.3Table3:Step
This constant is not related to groundwater. It is amodel-based constant that is sensitive to theoverallscaleoftheproblem.Thisconstantdefinesintegrationincrementfornumericalcalculationssincetheformulautilizedinthemodelcontainstheintegrationovertime.Thesmallerthisconstant,
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the closer the numerical value of the integral is to its analytically calculated value. For theconsidered problem this value is chosen to be 0.1, which translates approximately to 1000iterationsfortheintegration.Thisvalueofthestepachievesdesirableaccuracyintheproblem.
Fig.3.VariablesTable
step 0.1
Further decrease of this parameter for the given problem has almost no effect on concentrationvaluescalculatedforthegrid.
In thedesignof themodel, the sourcewells are taken tobe located around theperimeterof thecontaminatedsite.Theirnumberisnotrestricted.Thesearethewellsforwhichthesamplingdataare collected and used by the software. The more wells we have here, the more accurate theanalysisisgoingtobe.
TheparameterXo specified the x-coordinateof thewells (Theoriginof the coordinate system ismoreorlessarbitraryandcanbetakentocoincidewithoneofthewells;intheaboveexamplewithAR-1well).Y1andY2are the transversecoordinatesof thepatchassociated with thewells.Thechoiceofthepatchdependsontheresearcher.Theconcertationwithinthatpatchisassumedtobeconstant in themodel.Thesmaller thepatch, the less the influenceof thatparticularwellon the
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overall distribution of concentration. Z1 and Z2 provide corresponding Z-coordinates of thosepatches.
This table is very site specific. It depends on the geometric size of the site as well as on theparticular distribution of the source well. The final result may not be sensitive to the slightvariationsinthevaluesofthelistedinthistableparameters.
3.6Commentary
Due to the complex analytical nature of the model applied in this software, the calculationsconducted in the backgroundmay overrun thememory provided by Excel, reaching too large inmagnitudenumbers, andpotentially running the riskof crushing theapplication.Toprevent thisfrom happening, a recommended range for the linear variable x (coordinate along the flow ofgroundwater)hastobespecified.ThisvalueisaffectedbytheratioofthecoefficientofdispersioninthexdirectionDxoverthemagnitudeofthevelocityV.Foragivenproblem,itisapproximately20000whichisfarbeyondtheconsideredareaofinterestwheretheplumeevolutioniscalculated.
Fig.6.“Parameters”worksheet
4TheDataWorksheet
Thisworksheetprovidesthesamplingdataintheconcentrationvstimeform.Thetimeiscalculatedinmonths,but,ingeneral,canbemeasuredinanytemporalunits.Thedataarearrangedverticallyby the columns corresponding to each source well. The fragment of this table for the first fewsourcewellsisshownbelow.
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Fig.7.“Data”Worksheet
Fig.8.FragmentoftheDataTable
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5TheCalculationWorksheet
This is the main functional worksheet of this software. The columns (x, y ,z, t) give the gridcoordinates and the time forwhich the concentration is calculated in the last column.Timehereshould be measured in the same units as in the table above. The coordinates should also beconsistentwiththeunitsinwhichthesourcewellpatchesaregiveninthetable5.Thesizeofthegridisthechoiceoftheuser.Foragivenproblem,thistablecontainsoveronethousandrowsforeachspecifictimevalue.But,ingeneral,fewernumberofgridscanbespecifiedinaproblem.
x y z t C(x,y,z,t)500 -500 0 362 0.028403600 -500 0 362 0.077629700 -500 0 362 0.179131800 -500 0 362 0.327329900 -500 0 362 0.4828421000 -500 0 362 0.604975
After thecalculationsare finished,oneclickson the“Graph”buttonandthereformatteddataarefirstre-arrangedintothe3D-graphtableandthenautomaticallyplottedonthegraphtoo.
Thisgraphdepictsthesamplingdataforthewellslocatedbelowthesourcewells,wherethemainplume is analyzed in the problem, - this is the area covered by the software. (See below). ByselectingacorrespondingsamplingdateinthedropdownmenuoftheDatefield(theuppermostfirstcellontheworksheet),oneautomaticallyplotsthedataforthatparticulardate.
This worksheet collects the grid concertation tables for all sampling events obtained from the“Calculations”worksheet. Thisenablestheusertoselectacorrespondingdateonthedropdownmenuandimmediatelyviewtheconcentrationvsplumearea3Dgraph(seebelow).ThesegraphsareidenticaltothegraphsthatcouldbeobtainedontheCalculationworksheet.However,hereallthese graphs can be depicted at once, without waiting for the calculations to finish, which thatsometimescantakeseveralminutes.
Thischartisapproximate,itignorestheeffectsofdispersionandbiodegradationwithinthesourcearea. If all wells were aligned across the groundwater flow, than this chart would be an exactrepresentationofspatialdistributionoftheconcentration.
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Fig.16.“Source”Worksheet
Fig.17.Fragmentofthetableonthesameworksheet
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Fig.18.TheClose-upoftheGraphonthesameWorksheet
7ConcludingRemarks
This isnot a fullydeveloped software.Onewhodecides touse ithas tohavea certaindegreeofunderstandingofitsfunctionalfeaturesandtheanalyticalmodelthatituses.Assumingtheuserhasgained this understanding, this software can serve him as a simple and, at the same time, veryeffective tool inpractical analysis of on-going groundwater remedial investigationprojectsdata,from sampling event to sampling event updating the data tables, adjusting the parameters andreplotting the corresponding tables. With the use of Canvas or other commercially availablesoftware,onecancreateananimated3Dpictureoftheplumeevolutionthatwouldcontainalltheinformationaccumulatedover theperiodof samplingactivities.Below isgivensuchananimated3Dplumeevolutionfileforthedataanalyzedinthissoftware(Justclickonthelinkbelowtoviewtheanimation).
This software is based on the created by the author analytical model. Below is given a briefdescriptionofthismodel.
Themodel isbasedonthesolutionof the fateandtransportequation inthreedimensionswithapulseshapedconstantrectangularboundarycondition.Thissolutioncanbewrittenas
In the solution (1), L and M are dimensions of the patch, 𝑥- ,𝑦-and 𝑧- are the rescaled by thecorresponding dispersion coefficients 𝑥, 𝑦, 𝑧 coordinates:𝑥- = 𝑥/(2𝐷0), 𝑦- = 𝑦/(2𝐷P) and 𝑧- =𝑧/(2𝐷Q).