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Rethinking pump-and-treat remediation as maximizing contaminated groundwater.
Carroll, Kenneth C; Brusseau, Mark L; Tick, Geoffrey R; Soltanian, Mohamad R.
Afiliación
  • Carroll KC; New Mexico State University, Department of Plant and Environmnetal Sciences, Las Cruces, NM, USA. Electronic address: kccarr@nmsu.edu.
  • Brusseau ML; Environmental Science Department, University of Arizona, Tucson, AZ 85721, USA.
  • Tick GR; Department of Geological Sciences, University of Alabama, Tuscaloosa, AL 35487, USA.
  • Soltanian MR; Department of Geosciences, Department of Environmental Engineering, University of Cincinnati, Cincinnati, OH, USA.
Sci Total Environ ; 918: 170600, 2024 Mar 25.
Article en En | MEDLINE | ID: mdl-38336056
ABSTRACT
For over half a century, the United States has developed water quality regulations (e.g., Safe Drinking Water Act), which has been accompanied by innumerable advances in contaminant transport and fate, site characterization, and remediation. Since the 1980s, "pump-and-treat" techniques have been the most widely used methods for groundwater contamination remediation. By 1982, pump-and-treat was included in 100 % of the U.S. Superfund groundwater remedy decisions, but applications decreased continuously after 1992. This was likely associated with the documented limitations of pump-and-treat for achieving complete remediation with site closure. Several factors can limit the effectiveness of pump-and-treat, a primary one being that contaminant mass residing in NAPL, sorbed, and low-permeability matrices is not removed in an effective or efficient manner. This ineffectiveness leads to extended cleanup times and the generation of enormous volumes of extracted groundwater, in effect creating conditions of maximizing the amount of contaminated groundwater needing treatment. We highlight a means by which to reassess our approach to remediation by recognizing that pump-and-treat, due to its well-documented limitations, often maximizes the generation of contaminated groundwater.
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Total Environ Año: 2024 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Total Environ Año: 2024 Tipo del documento: Article