Your browser doesn't support javascript.
loading
Source strength functions from long-term monitoring data and spatially distributed mass discharge measurements.
Brooks, Michael C; Wood, A Lynn; Cho, Jaehyun; Williams, Christine A P; Brandon, William; Annable, Michael D.
Affiliation
  • Brooks MC; National Risk Management Research Laboratory, U.S. Environmental Protection Agency, Ada, OK 74820, United States. Electronic address: brooks.michael@epa.gov.
  • Wood AL; Retired, National Risk Management Research Laboratory, U.S. Environmental Protection Agency, Ada, OK 74820, United States.
  • Cho J; Interdisciplinary Program in Hydrologic Sciences, Department of Environmental Engineering Sciences, University of Florida, Gainesville, FL 32611, United States.
  • Williams CAP; Federal Facility Superfund Section, U.S. Environmental Protection Agency, Boston, MA 02109, United States.
  • Brandon W; Federal Facility Superfund Section, U.S. Environmental Protection Agency, Boston, MA 02109, United States.
  • Annable MD; Interdisciplinary Program in Hydrologic Sciences, Department of Environmental Engineering Sciences, University of Florida, Gainesville, FL 32611, United States.
J Contam Hydrol ; 219: 28-39, 2018 12.
Article in En | MEDLINE | ID: mdl-30361116
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.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Water Pollutants, Chemical Type of study: Prognostic_studies Limits: Humans Language: En Journal: J Contam Hydrol Journal subject: TOXICOLOGIA Year: 2018 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Water Pollutants, Chemical Type of study: Prognostic_studies Limits: Humans Language: En Journal: J Contam Hydrol Journal subject: TOXICOLOGIA Year: 2018 Document type: Article