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Main Title Evaluation of source term initial conditions for modeling leachate migration from landfills /
Author Mulkey, Lee Alexander. ; Donigian, A. S. ; Allison, T. L. ; Raju, C. S.
Other Authors
Author Title of a Work
Donigian, Anthony S.
Allison, Terry Lee
Raju, C. S.
CORP Author AQUA TERRA Consultants, Mountain View, CA. ;Computer Sciences Corp., Athens, GA.;Environmental Protection Agency, Athens, GA.
Publisher U.S. Environmental Protection Agency, Environmental Research Laboratory,
Year Published 1992
Report Number EPA-68-03-6304
Stock Number PB93-131464
Subjects Sanitary landfills--Leaching--Computer simulation
Additional Subjects Earth fills ; Source terms ; Mathematical models ; Leaching ; Solid waste disposal ; Water pollution ; Environmental transport ; Land disposal ; Pollution regulations ; Toxicity ; Exposure ; Alternatives ; Hazardous materials ; Steady state ; Unsteady flow ; Degradation ; Sorption
Library Call Number Additional Info Location Last
NTIS  PB93-131464 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 75 pages ; 28 cm
Leachate migration modeling is a necessary part of conducting exposure assessments in the development of land disposal regulations for solid wastes. Development of toxicity characteristics to define leachate concentration levels that pose unacceptable risks to humans and the environment requires modeling studies for a wide range of leachate generation-migration scenarios. The study investigated the influence of five alternative modeling initial conditions on down-gradient ground water concentrations predicted by two models (MULTIMED and AT123D) and for four typical hazardous waste constituents. Differences between steady-state and transient conditions also were investigated. The alternative initial conditions studied were shown to be representative of typical leachate patterns reported from laboratory and field studies. The square wave pulse initial condition was found to be the most conservative representation of leachate generation for both models. Sorptive and degradation properties of chemicals strongly influence predictions, and for some chemicals, steady-state modeling and transient modeling of the same scenario produced significantly different results.
"EPA/600/R-92/233." Microfiche.