WEBVTT

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Hi , my name is uh Carlos Ruiz

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and I work with the US Army Corps of

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Engineers in the environmental lab of

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the Engineering Research and

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Development Center . Uh Today's

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presentation is gonna be on recovery .

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It's a tool that we developed to assess

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contaminated saline water interactions

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and modeling so that we could design

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better remediation uh uh

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technologies in particularly capping .

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This presentation is about uh the model

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uh recovery in particularly uh recovery

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version five which is a contaminated

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saline water interaction model . It was

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developed uh originally for

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looking at saline water interactions uh

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for assessing uh saline

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contamination

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recovery was developed originally to

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provide exposure data for risk

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assessment of contaminated salmon sites

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to screen remedial alternatives in

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particularly no action . Meaning what

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happens if we do not do anything

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at a particular site , what would be

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the effects ? What would be the risk

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over time ? Uh The second alternative

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that we are able to model would recover

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is monitor natural recovery which is

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allow the system to recover by itself .

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But while we're monitoring recovery

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will predict what the outcome should be .

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And therefore we could uh compare it

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with the actual data to see if we're in ,

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in past of , of the predicted recovery .

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Uh It could also do enhanced monitoring

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natural recovery , which is when we add

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subtract uh and , and do

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things in , in the system such that we

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could accelerate the actual uh recovery

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that would occur naturally , meaning we

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could put a layer of sediment , we

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could uh put certain uh amendments or

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something of that nature . Uh We could

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also do with recovery , residual

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management and we could do capping the

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model couples contaminated interactions

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between the water column , the bottom

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sediment , as well as the contaminated

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and clean bottom sediments . The

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purpose is to evaluate , as we said ,

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no action , alternative recovery ,

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capping , reactive capping when it's

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when we add amendments , dredging or ,

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and residence management after dredging

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limitations is it's a constant resident

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time , meaning , you know , you have

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either a , a residence time in the

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system or we got a given flow rate . Uh

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suspended solids are constant over time .

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Toc is constant over time . We have

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constant vaal , constant bioturbated

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and constant decay rates uses long term

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averages and it , it does not address a

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catastrophic events as erosion and

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deposition from floods or storms .

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PC . Uh The model is PC based , it's

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user friendly addresses like a full ,

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fully mixed water body and a layer

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bottom uh sediment . It's time variable ,

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meaning things happen over time . Uh

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It's basically for organic contaminants

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though we have applied uh heavy metals

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computes same in water contaminant uh

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concentrations and fluxes over time .

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Meaning uh in the all the compartments

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and across the compartments . The

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schematics , this is uh a

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more detail of the previous slides . Uh

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You have resuspension , settling

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diffusion , you have all the parameter ,

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all all the processes that occur in the

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surface water with the top se uh

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or the mixed salmon uh layer . And

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in addition to that , we have burial of

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the saline over time and we have a

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meaning groundwater flow uh coming from

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deep salines up toward the the surface .

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The model was verified uh with analytic

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solutions . It was compared to

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laboratory data and it was compared to

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an actual uh study that wasn't

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done in a Florida uh quarry P A five

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year uh project .

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And , and it's compared with long term

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cap performance data for contaminator

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isolation 11 years . Uh This work was

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done in Seattle . So these are so

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some of the results that uh of the

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predictions of the model , uh We have

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improved the model over time . Uh The

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latest was to uh add groundwater

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or addictive flow up to five

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centimeters per day . Uh And uh

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we could address thin layers uh

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to address carbon or reactive caps

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appetite and other geo textiles

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for a given recovery application . Uh

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say a evaluation of a cap . These are

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the typical results that we would

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obtain from the model , which is the

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concentration uh of the contaminant in

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the upper layer or what we call the

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mixed layer over time . So it will tell

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us how the technology that was

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applied or the no action is proceeding

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over time . It can address uh

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groundwater or boiling , meaning a

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groundwater flow over time , it can

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address that in the mixed layer , it

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can it can address uh that in

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the same profile

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mean , you know , from the top of the

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salmon up to the area where the salmon

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should be clean . Uh

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Recovery has been applied over the past

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15 years in many uh

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scenarios . Some of the more important

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ones are these , the reports for these

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uh there uh are papers for some

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of these . Uh the late latest one is

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our work with uh for Serve up where we

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couple it with the food web modeling

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model uh to address not only the

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concentration of the contaminants but

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how it moves into the food . We uh the

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updated the recording model , you know ,

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it was version five for the groundwater .

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It was coupled with the food web in 22 .

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And uh it has a version with black

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carbon that was developed for serve up

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in 22 which has not fully

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been published . Uh It's just a report

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for S

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Erdi discovering , developing and

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delivering new ways to make the world

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safer and better every day .