Global patterns and temporal trends of perfluoroalkyl substances in municipal wastewater: A meta-analysis.

Despite increasing regulatory efforts to reduce production of per- and polyfluoroalkyl substances (PFAS), continued human and ecological exposure to PFAS has led to concerns about historical releases. Municipal wastewater treatment plants (WWTPs) provide important conduits between waste sources and the environment. We present a meta-analysis of results reported in 44 peer-reviewed publications that include 460 influent and 528 effluent samples, collected from 21 countries, for which some or all of five perfluorinated carboxylic acids (PFCAs) and three perfluorinated sulfonic acids (PFSAs) were measured.

Accurate and reliable estimation of kinetic parameters for environmental engineering applications: A global, multi objective, Bayesian optimization approach.

Accurate and reliable predictions of bacterial growth and metabolism from unstructured kinetic models are critical to the proper operation and design of engineered biological treatment and remediation systems. As such, parameter estimation has progressed into a routine challenge in the field of Environmental Engineering. Among the main issues identified with parameter estimation, the model-data calibration approach is a crucial, yet an often overlooked and difficult optimization problem.

Application of unstructured kinetic models to predict microcystin biodegradation: Towards a practical approach for drinking water treatment.

Biological drinking water treatment technologies offer a cost-effective and sustainable approach to mitigate microcystin (MC) toxins from harmful algal blooms. To effectively engineer these systems, an improved predictive understanding of the bacteria degrading these toxins is required. This study reports an initial comparison of several unstructured kinetic models to describe MC microbial metabolism by isolated degrading populations.

Dissolution of dense non-aqueous phase liquids in vertical fractures: effect of finger residuals and dead-end pools.

Understanding the dissolution behavior of dense non-aqueous phase liquids (DNAPLs) in rock fractures under different entrapment conditions is important for remediation activities and any related predictive modeling. This study investigates DNAPL dissolution in variable aperture fractures under two important entrapment configurations, namely, entrapped residual blobs from gravity fingering and pooling in a dead-end fracture. We performed a physical dissolution experiment of residual DNAPL blobs in a vertical analog fracture using light transmission techniques.

Satiated relative permeability of variable-aperture fractures.

Experimental studies of capillary-dominated displacements in variable-aperture fractures have demonstrated the occurrence of a satiated state at the end of invasion, where significant entrapment of the displaced phase occurs. The structure of this entrapped phase controls the behavior of flow and transport processes in the flowing phase. Recent studies have shown that the areal saturation of the flowing phase at satiation (S(f) ) is largely controlled by a single parameter C/delta , where C , the curvature number, weighs the mean in-plane interfacial curvature relative to the mean out-of-plane interfacial curvature, and delta , the coefficient of variation of the aperture field, represents the strength of interface roughening induced by aperture variations.

Immiscible displacements in rough-walled fractures: competition between roughening by random aperture variations and smoothing by in-plane curvature.

Phase structure during capillary displacement of fluid phases within rough-walled fractures is controlled by the competition between random aperture variability which tends to roughen the interface and in-plane curvature which tends to smooth it. We show that the phase structure and corresponding areal saturation at the end of displacement depend primarily on the ratio of two dimensionless parameters: one that controls roughening (the coefficient of variation of the aperture field, delta) and another that controls smoothing (the curvature number C, which weighs the mean influences of aperture induced and in-plane curvature). Interestingly, for C/delta above approximately 0.

Comparison of an algebraic multigrid algorithm to two iterative solvers used for modeling ground water flow and transport.

Numerical solution of large-scale ground water flow and transport problems is often constrained by the convergence behavior of the iterative solvers used to solve the resulting systems of equations. We demonstrate the ability of an algebraic multigrid algorithm (AMG) to efficiently solve the large, sparse systems of equations that result from computational models of ground water flow and transport in large and complex domains. Unlike geometric multigrid methods, this algorithm is applicable to problems in complex flow geometries, such as those encountered in pore-scale modeling of two-phase flow and transport.