Published December 2018 | Version v1
Journal article

A simple method of transport parameter estimation for slug injecting tracer tests in porous media

  • 1. State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055 (China)
  • 2. Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055 (China)
  • 3. Department of Geology & Geophysics, Texas A&M University, College Station, TX 77843-3115 (United States)
  • 4. School of Earth Sciences and Engineering, Nanjing University, Nanjing, Jiangsu 210023 (China)
  • 5. School of Resources and Geosciences, China University of Mining and Technology, Xuzhou, Jiangsu 221116 (China)

Description

Highlights: • A simple method is proposed to estimate contaminant transport parameters. • Method requires fewer measured data and does not require any optimized operation. • Error can be reduced by refining time-interval of measurement near peak time. Slug (instantaneous injection) tracer tests can be used effectively to determinate solute transport parameters in porous media such as pore velocities and dispersivities, which are usually estimated with curve-fitting methods. This study proposes a simple method to estimate conservative and reactive solute transport parameters in one-, two- and three- dimensional domains with uniform flow fields based on peak times of slug tracer tests. This method requires fewer measured data than traditional curve-fitting methods. The accuracy of the method depends on the time-interval of measurement that is the time interval used in collecting observed concentrations of solutes. The error of the pore velocity estimate is very small (less than 3%) even for a relatively large time-interval of measurement. The error of the dispersivity estimate increases with the time-interval (Δt) of measurement significantly. For 1-D case, the relative error increases from 0.29% at ∆t of 0.1 min to 17.12% at ∆t of 6 min. Such an error can be reduced by refining the time-interval of measurement near the actual peak time of breakthrough curves. The error of the dispersivity estimate decreases when the retardation factor increases. The first-order decay rate constant in the liquid hardly influences the accuracies of both pore velocity and dispersivity estimates. The proposed method is applied on laboratory sand column tests. The results indicate that the estimated pore velocities and dispersivities are almost the same to that of the curves-fitting method. This method can be employed easily by scientists and practitioners for parameter estimations in laboratory column experiments if advection-dispersion equation is applicable. This method can also be used for parameter estimation of heat transport in a laboratory column experiment if a slug heat source is injected into a porous media with the presence of a uniform flow field. Limitations of the study have also been addressed.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.scitotenv.2018.06.330

Additional details

Identifiers

DOI
10.1016/j.scitotenv.2018.06.330;
PII
S0048969718324057;

Publishing Information

Journal Title
Science of the Total Environment
Journal Volume
644
Journal Page Range
p. 1536-1546
ISSN
0048-9697
CODEN
STENDL

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53043985
Subject category
S54: ENVIRONMENTAL SCIENCES;
Descriptors DEI
ADVECTION; DISPERSIONS; ECOLOGICAL CONCENTRATION; ERRORS; HEAT SOURCES; HEAT TRANSFER; LIQUIDS; POROUS MATERIALS; SAND; SOLUTES; TRACER TECHNIQUES
Descriptors DEC
ENERGY TRANSFER; FLUIDS; ISOTOPE APPLICATIONS; MASS TRANSFER; MATERIALS

Optional Information

Copyright
Copyright (c) 2018 Elsevier B.V. All rights reserved.