  Groundwater contamination caused by Dense Non-Aqueous Phase Liquid (DNAPL)
has an adverse impact on human health and environment. Remediation techniques,
such as the in-situ injection of nano Zero Valent Iron (nZVI) particles, are
widely used in mitigating DNAPL-induced groundwater contamination. However, an
effective remediation strategy requires predictive insights and understanding
of the physiochemical interaction of nZVI and contamination along with the
porous media properties. While several stand-alone models are widely used for
predictive modeling, the integration of these models for better scalability and
accuracy is still rarely utilized. This study presents an end-to-end integrated
modeling framework for the remediation of DNAPL-contaminated aquifers using
nZVI. The framework simulates the migration pathway of DNAPL and subsequently
its dissolution in groundwater resulting in an aqueous contaminant plume.
Additionally, the framework includes simulations of nZVI mobility, transport,
and reactive behavior, allowing for the prediction of the radius of influence
and efficiency of nZVI for contaminant degradation. The framework has been
applied to a hypothetical 2-dimensional and heterogeneous silty sand aquifer,
considering trichloroethylene (TCE) as the DNAPL contaminant and carboxymethyl
cellulose (CMC) coated nZVI for remediation. The results demonstrate the
framework's capability to provide comprehensive insights into the contaminant's
behavior and the effectiveness of the remediation strategy. The proposed
modeling framework serves as a reference for future studies and can be expanded
to incorporate real field data and complex geometries for upscaled
applications.

Numerical Analysis;Numerical Analysis;Fluid Dynamics