Source strength functions from long-term monitoring data and spatially distributed mass discharge measurements

J Contam Hydrol. 2018 Dec:219:28-39. doi: 10.1016/j.jconhyd.2018.09.003. Epub 2018 Sep 21.

Abstract

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 calibration of screening-level models to assist with 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.

Keywords: Long-term monitoring data; Mass discharge; Mass flux; Passive flux meters; Source strength function; Source zone characterization.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Environmental Monitoring
  • Humans
  • Water Pollutants, Chemical*

Substances

  • Water Pollutants, Chemical