Journal of Contaminant Hydrology

raw data

OptSFDM is a multi-tracer data assimilation program that automatically optimizes the single fissure dispersion model (suggested by Maloszewski and Zuber (1985, 1990)) using tracer experiments to estimate the hydrogeological parameters of an aquifer or a double-porosity system.

Result of numerical models used in the manuscript

Research data of natural attenuation naphthalene along the river-bank infiltration zone of the Liao River，Shenyang, China.

This file contains the blockade duration and amplitudes of all experiments, this file can be read with a control R script file to do the statistical clustering and plotting the data. A database file (*.db) contains all the blockades from theTRPS data (the blockade waveform), this file can be processed with aid of a small python program for representing the waveforms. Note: the python program uses the libraries of neurophysiology OpenElectrophy for waveform recognition and sorting.

Supporting information- methods file.

These are supporting data for Quantification of contaminant mass discharge from point sources in aquitard/aquifer systems based on vertical concentration profiles and 3D modeling, published in Journal of Contaminant Hydrology.3D_geometry.mphbin is the COMSOL Multiphysics geometry file, that covers the flow and transport model domain with all geometric features used in the 3D modeling. It is compatible with COMSOL v5.5 and newer versions (created with v6.1).TL_bot.txt and TL_top.txt provide the interpolated geometry of the top and the bottom of the transition layer, as obtained from a 3D geological model. It is included in the 3D COMSOL model and in the geometry file.Concentration_profiles.csv contains the coordinates (X, Y and Z coordinate in the model domain) of the direct-push concentration profiles and the measured sum of chlorinated solvents (TCE equivalents) in µg/L.

These are supporting data for Quantification of contaminant mass discharge from point sources in aquitard/aquifer systems based on vertical concentration profiles and 3D modeling, published in Journal of Contaminant Hydrology.3D_geometry.mphbin is the COMSOL Multiphysics geometry file, that covers the flow and transport model domain with all geometric features used in the 3D modeling. It is compatible with COMSOL v5.5 and newer versions (created with v6.1).TL_bot.txt and TL_top.txt provide the interpolated geometry of the top and the bottom of the transition layer, as obtained from a 3D geological model. It is included in the 3D COMSOL model and in the geometry file.Concentration_profiles.csv contains the coordinates (X, Y and Z coordinate in the model domain) of the direct-push concentration profiles and the measured sum of chlorinated solvents (TCE equivalents) in µg/L.

Source strength functions (SSF), defined as contaminant mass discharge or flux-averaged concentration from dense nonaqueous phase liquid (DNAPL) source zones as a function of time, provide a quantitative model of DNAPL source-zone behavior. Such information is useful for making site management decisions. We investigate the use of historic data collected during long-term monitoring (LTM) activities at a site in Rhode Island to predict the SSF based on temporal mass discharge measurements at a fixed location, as well as SSF estimation using mass discharge measurements at a fixed time from three spatially distributed control planes. Mass discharge based on LTM data decreased from ~300 g/day in 1996 to ~70 g/day in 2012 at a control plane downgradient of the suspected DNAPL source zone, and indicates an overall decline of ~80% in 16 years. These measurements were compared to current mass discharge measurements across three spatially distributed control planes. Results indicate that mass discharge increased in the downgradient direction, and was ~6 g/day, ~37 g/day, and ~400 g/day at near, intermediate, and far distances from the suspected source zone, respectively. This behavior was expected given the decreasing trend observed in the LTM data at a fixed location. These two data sets were compared using travel time as a means to plot the data sets on a common axis. The similarity between the two data sets gives greater confidence to the use of this combined data set for site-specific SSF estimation relative to either the sole use of LTM or spatially distributed data sets.

chemical concentrations