Data Quality Objective Summary Report for Waste Characterization of the 2710-S, 2711-S, and 2718-S Buildings
Author : Roy G. Bauer
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Page : pages
File Size : 38,78 MB
Release : 1997
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Author : Roy G. Bauer
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Page : pages
File Size : 38,78 MB
Release : 1997
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Author : D. W. Shea
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Page : pages
File Size : 14,52 MB
Release : 2005
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Author : Rikki Ann Thoren
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Page : pages
File Size : 14,86 MB
Release : 2004
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Page : 56 pages
File Size : 11,74 MB
Release : 2003
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The purpose of this data quality objective (DQO) summary report is to develop a sampling plan designed for waste disposition of soil cuttings and drilling-related wastes that will result from the drilling of two new RCRA wells, C4122 and C4123.
Author : Fluor Hanford, Inc
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Page : pages
File Size : 42,38 MB
Release : 2006
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Page : 55 pages
File Size : 50,40 MB
Release : 2003
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The purpose of the data quality objective (DQO) summary report is to develop a sampling plan designed for waste disposition of soil cuttings and other drilling-related wastes that will result from the drilling of 4 new RCRA groundwater monitoring wells.
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Page : pages
File Size : 25,73 MB
Release : 2002
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This document describes sampling and analytical requirements needed to meet state and federal regulations for dangerous waste (DW). The River Protection Project (RPP) is assigned to the task of storage and interim treatment of hazardous waste. Any final treatment or disposal operations, as well as requirements under the land disposal restrictions (LDRs), fall in the jurisdiction of another Hanford organization and are not part of this scope. The requirements for this Data Quality Objective (DQO) Process were developed using the RPP Data Quality Objective Procedure (Banning 1996), which is based on the U.S. Environmental Protection Agency's (EPA) Guidance for the Data Quality Objectives Process (EPA 1994). Hereafter, this document is referred to as the DW DQO. Federal and state laws and regulations pertaining to waste contain requirements that are dependent upon the composition of the waste stream. These regulatory drivers require that pertinent information be obtained. For many requirements, documented process knowledge of a waste composition can be used instead of analytical data to characterize or designate a waste. When process knowledge alone is used to characterize a waste, it is a best management practice to validate the information with analytical measurements.
Author : Ronald L. Jackson
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Page : pages
File Size : 28,22 MB
Release : 2003
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Author : Monica Mai Serkowski
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Page : pages
File Size : 12,85 MB
Release : 2007
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Author : Gregory S. Thomas
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Page : pages
File Size : 14,34 MB
Release : 2003
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