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Title: Programmatic methods for addressing contaminated volume uncertainties.

Abstract

Accurate estimates of the volumes of contaminated soils or sediments are critical to effective program planning and to successfully designing and implementing remedial actions. Unfortunately, data available to support the preremedial design are often sparse and insufficient for accurately estimating contaminated soil volumes, resulting in significant uncertainty associated with these volume estimates. The uncertainty in the soil volume estimates significantly contributes to the uncertainty in the overall project cost estimates, especially since excavation and off-site disposal are the primary cost items in soil remedial action projects. The Army Corps of Engineers Buffalo District's experience has been that historical contaminated soil volume estimates developed under the Formerly Utilized Sites Remedial Action Program (FUSRAP) often underestimated the actual volume of subsurface contaminated soils requiring excavation during the course of a remedial activity. In response, the Buffalo District has adopted a variety of programmatic methods for addressing contaminated volume uncertainties. These include developing final status survey protocols prior to remedial design, explicitly estimating the uncertainty associated with volume estimates, investing in predesign data collection to reduce volume uncertainties, and incorporating dynamic work strategies and real-time analytics in predesign characterization and remediation activities. This paper describes some of these experiences in greater detail, drawingmore » from the knowledge gained at Ashland1, Ashland2, Linde, and Rattlesnake Creek. In the case of Rattlesnake Creek, these approaches provided the Buffalo District with an accurate predesign contaminated volume estimate and resulted in one of the first successful FUSRAP fixed-price remediation contracts for the Buffalo District.« less

Authors:
; ; ; ; ;
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOD
OSTI Identifier:
982604
Report Number(s):
ANL/EVS/CP-58588
TRN: US201015%%1214
DOE Contract Number:
DE-AC02-06CH11357
Resource Type:
Conference
Resource Relation:
Conference: Waste Management Conference (WM '07); Feb. 25, 2007 - Mar. 1, 2007; TUCSON, AZ
Country of Publication:
United States
Language:
ENGLISH
Subject:
54 ENVIRONMENTAL SCIENCES; BUFFALO; CONTRACTS; COST; DATA; DESIGN; DRAWING; DYNAMICS; EXCAVATION; MEETINGS; PLANNING; REMEDIAL ACTION; SEDIMENTS; SOILS; SUPPORTS; US CORPS OF ENGINEERS; VOLUME; WASTE MANAGEMENT

Citation Formats

DURHAM, L.A., JOHNSON, R.L., RIEMAN, C.R., SPECTOR, H.L., Environmental Science Division, and U.S. ARMY CORPS OF ENGINEERS BUFFALO DISTRICT. Programmatic methods for addressing contaminated volume uncertainties.. United States: N. p., 2007. Web.
DURHAM, L.A., JOHNSON, R.L., RIEMAN, C.R., SPECTOR, H.L., Environmental Science Division, & U.S. ARMY CORPS OF ENGINEERS BUFFALO DISTRICT. Programmatic methods for addressing contaminated volume uncertainties.. United States.
DURHAM, L.A., JOHNSON, R.L., RIEMAN, C.R., SPECTOR, H.L., Environmental Science Division, and U.S. ARMY CORPS OF ENGINEERS BUFFALO DISTRICT. Mon . "Programmatic methods for addressing contaminated volume uncertainties.". United States. doi:.
@article{osti_982604,
title = {Programmatic methods for addressing contaminated volume uncertainties.},
author = {DURHAM, L.A. and JOHNSON, R.L. and RIEMAN, C.R. and SPECTOR, H.L. and Environmental Science Division and U.S. ARMY CORPS OF ENGINEERS BUFFALO DISTRICT},
abstractNote = {Accurate estimates of the volumes of contaminated soils or sediments are critical to effective program planning and to successfully designing and implementing remedial actions. Unfortunately, data available to support the preremedial design are often sparse and insufficient for accurately estimating contaminated soil volumes, resulting in significant uncertainty associated with these volume estimates. The uncertainty in the soil volume estimates significantly contributes to the uncertainty in the overall project cost estimates, especially since excavation and off-site disposal are the primary cost items in soil remedial action projects. The Army Corps of Engineers Buffalo District's experience has been that historical contaminated soil volume estimates developed under the Formerly Utilized Sites Remedial Action Program (FUSRAP) often underestimated the actual volume of subsurface contaminated soils requiring excavation during the course of a remedial activity. In response, the Buffalo District has adopted a variety of programmatic methods for addressing contaminated volume uncertainties. These include developing final status survey protocols prior to remedial design, explicitly estimating the uncertainty associated with volume estimates, investing in predesign data collection to reduce volume uncertainties, and incorporating dynamic work strategies and real-time analytics in predesign characterization and remediation activities. This paper describes some of these experiences in greater detail, drawing from the knowledge gained at Ashland1, Ashland2, Linde, and Rattlesnake Creek. In the case of Rattlesnake Creek, these approaches provided the Buffalo District with an accurate predesign contaminated volume estimate and resulted in one of the first successful FUSRAP fixed-price remediation contracts for the Buffalo District.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Jan 01 00:00:00 EST 2007},
month = {Mon Jan 01 00:00:00 EST 2007}
}

Conference:
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  • Accurate estimates of the volumes of contaminated soils or sediments are critical to effective program planning and to successfully designing and implementing remedial actions. Unfortunately, data available to support the pre-remedial design are often sparse and insufficient for accurately estimating contaminated soil volumes, resulting in significant uncertainty associated with these volume estimates. The uncertainty in the soil volume estimates significantly contributes to the uncertainty in the overall project cost estimates, especially since excavation and off-site disposal are the primary cost items in soil remedial action projects. The U.S. Army Corps of Engineers Buffalo District's experience has been that historical contaminatedmore » soil volume estimates developed under the Formerly Utilized Sites Remedial Action Program (FUSRAP) often underestimated the actual volume of subsurface contaminated soils requiring excavation during the course of a remedial activity. In response, the Buffalo District has adopted a variety of programmatic methods for addressing contaminated volume uncertainties. These include developing final status survey protocols prior to remedial design, explicitly estimating the uncertainty associated with volume estimates, investing in pre-design data collection to reduce volume uncertainties, and incorporating dynamic work strategies and real-time analytics in pre-design characterization and remediation activities. This paper describes some of these experiences in greater detail, drawing from the knowledge gained at Ashland 1, Ashland 2, Linde, and Rattlesnake Creek. In the case of Rattlesnake Creek, these approaches provided the Buffalo District with an accurate pre-design contaminated volume estimate and resulted in one of the first successful FUSRAP fixed-price remediation contracts for the Buffalo District. (authors)« less
  • Abstract not provided.
  • A unique approach was developed for considering the applicability and effectiveness of various environmental restoration technologies and estimating the volumes and characteristics of waste streams that result from remediating thousands of contaminated sites across the DOE complex. The resulting material balance methodology provides the basis for identifying treatment methods and technologies for use in estimating waste volumes and treatment costs. This material balance methodology, which is now automated, contains algorithms for calculating waste stream volumes and contaminant concentrations resulting from application of representative treatment technology categories. Material balance modules have been prepared for each separate technology category (a technology categorymore » may include several remediation technologies that have similar treatment objectives). Each module provides the technical basis for the automated identification of treatment methods and estimation of waste volumes and treatment cost. This paper focuses primarily on development of the material balance algorithms, but also presents example results from application of the algorithms, evaluates potential impacts of inclusion of emerging technologies, and describes challenges encountered in developing the methodology.« less