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UID:pretalx-flowpath-2025-9NTKQP@talks.staging.osgeo.org
DTSTART;TZID=CET:20250612T171000
DTEND;TZID=CET:20250612T172000
DESCRIPTION:Groundwater remediation of LNAPLs (Light Non-Aqueous Phase Liqu
 ids) has advanced with improved models for multi-phase flow and contaminan
 t transport\, essential for mapping out contaminant plumes and formulating
  remediation plans. While LNAPL models simulate how LNAPL interacts with w
 ater\, air\, and soil\, their use is limited by specific site conditions\,
  data access\, and expertise level. Geological variations\, like confining
  layers and barriers\, must be considered as they affect LNAPL flow.\nAccu
 rate subsurface evaluation is pivotal\, with LNAPL transmissivity measurem
 ent proving superior to traditional monitoring for assessing contamination
  and predicting remediation systems' efficacy. New refined computational t
 echniques in modeling offer a precise representation of complex interactio
 ns between LNAPL\, water\, and air and pinpoint the boundaries between the
 se fluids and improve parameter estimation through data integration. Moreo
 ver\, joining geostatistical methods with physical models has made simulat
 ions of LNAPL spread more realistic\, and the integration with Geographic 
 Information Systems (GIS) enhances the analysis and depiction of contamina
 tion over time. \nWhile sophisticated models offer detailed predictions\, 
 their utility in practice is contingent on validating assumptions through 
 field data\, simplifying model complexities for interpretability\, and ens
 uring stakeholders' comprehension of model outputs. Environmental professi
 onals must navigate the trade-off between model sophistication and operati
 onal feasibility\, ensuring that the application of such models ultimately
  serves the goal of effective and sustainable LNAPL remediation.\nThis abs
 tract advocates the need for regulatory acceptance of LNAPL transmissivity
  as a closure criterion\, and for elaborating on best practices that can b
 ridge the gap between theoretical modeling and field application. By doing
  so\, it furthers our collective capacity for informed decision-making in 
 LNAPL-impacted site management.
DTSTAMP:20260427T201518Z
LOCATION:Room R3
SUMMARY:Practical Application of Advanced LNAPL Multi-Phase Modeling in Gro
 undwater Remediation - Mara Meggiorin
URL:https://talks.staging.osgeo.org/flowpath-2025/talk/9NTKQP/
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