A predictive model for environmental fate and transport of the toxicity of leachates from highway construction and repair materials Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/st74cs770

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  • Recent concern over the potential environmental impact of highway construction and repair materials on surface and ground waters has lead to extensive laboratory screening and subsequent testing of a set of new materials and waste amended mixes. As part of Phase II of a three-phase project for the National Cooperative Highway Research Program, a fate and transport model for the assessment of this impact has been written. The model predicts concentrations and loads of contaminants as well as toxicities for the leachates in both surface and subsurface environments. The model addresses four specific "reference environments": an impermeable highway surface, a permeable highway surface, a vertical piling, and a filled borehole. Six materials are examined in detail: crumb rubber asphalt concrete. SEMASS asphalt concrete, foundry sand asphalt concrete, ammonical copper zinc arsenate treated wood, and methyl methacrylate deck sealer. A statistical approach to relating toxicity to the concentration of a chemical "surrogate" forms the basis for prediction of toxicity in the leachates. All fate and transport prediction methods are based on physical and mathematical descriptions of the near-highway environment. Surface runoff is calculated using kinematic wave theory coupled with leaching, photolysis and volatilization, flow through pavement cracks is based on continuity, and subsurface transport is based on a plug flow model with linear or Freundlich sorption and biodegradation. Explicit finite difference numerical methods are used for both surface leaching and subsurface transport. A search engine is provided for examination of all laboratory results.
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  • File scanned at 300 ppi (Monochrome, 8-bit Grayscale) using ScandAll PRO 1.8.1 on a Fi-6770A in PDF format. CVista PdfCompressor 4.0 was used for pdf compression and textual OCR.
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