Open AccessData Quality Objectives for Regulatory Requirements for Dangerous Waste Sampling and Analysis
Author(s) -
C.H. Mulkey
Publication year - 1999
Language(s) - English
Resource type - Reports
DOI - 10.2172/797557
Subject(s) - hazardous waste , resource conservation and recovery act , quality (philosophy) , jurisdiction , scope (computer science) , interim , process (computing) , waste management , environmental science , business , engineering , risk analysis (engineering) , computer science , law , philosophy , operating system , epistemology , political science , programming language
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