Environmental Analytical Measurement Uncertainty Estimation, Nested Hierarchical Approach

Abstract

This document provides guidance for estimating environmental analytical measurement uncertainty. Each year billions of dollars are expended to generate environmental study data. These data are used in programs to protect the environment and mitigate environmental impacts. The quality of these data affect environmental cleanup, compliance, and ambient monitoring decision-making. To provide data of known quality, sampling and analysis plans are developed to accurately and precisely represent the contaminant distribution parameters of an environmental site or population. Associated with the environmental study data is the estimated measurement uncertainty that results from the sampling and analysis process. This measurement uncertainty affects environmental study data quality. The process of making decisions under uncertainty is a challenge for environmental decision-makers. Decision-makers must assess the effects of measurement uncertainty on environmental decisions. While the possibility of a decision error can never be totally eliminated, it can be controlled. To control decision errors, the measurement uncertainty must be controlled.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2001
Accession Number
ADA396946

Entities

People

  • William S. Ingersoll

Organizations

  • Naval Sea Systems Command

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Chemical Analysis
  • Chemical Synthesis
  • Chemistry
  • Environment
  • Environmental Restoration And Remediation
  • Hot Spots
  • Materials
  • Mathematical Models
  • Measurement
  • Probability Distributions
  • Quality Control
  • Salt Water
  • Statistical Analysis
  • Statistical Sampling
  • Test And Evaluation
  • Test Methods

Fields of Study

  • Environmental science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Environmental Engineering.
  • Systems Analysis and Design