Data Management & Data Evaluation

An Integrated Data Management System fo Environmental and Geospatial Data (1998)
The Environmental and Geographical Information System (EGIS) is a complete and integrated data management system designed for a scalable architecture that can be deployed for a single user or a client/server enterprise system. The environmental data is housed in a relational database structure with governing valid value tables that is patterned after the Air Force Wide-Environmental Resource Program Information Management System (AFW-ERPIMS 98).

Guide to Documenting and Managing Cost and Performance Information for Remediation Projects, Revised Version (1998)
A key objective of this guide is to provide a tool for improving the collection, documentation, and management of data by describing a standard set of parameters for reporting cost and performance information about treatment technologies.
Order: EPA 542-B-98-007
Download (545KB/77pp/PDF)

Procedural Guidance for Statistically Analyzing Environmental Background Data (1998)
Prepared by SW DIV and EFA WEST of Naval Facilities Engineering Command, September 1998. This procedural guidance document briefly introduces the importance of background analyses, provides guidance for developing a representative background data set and conduct statistical testing.
Download (270KB/160pp/PDF)

EPA Office of Solid Waste Ground-Water Monitoring Statistics Data at RCRA Facilities (1989)
This document provides a variety of information for the statistical analysis of groundwater monitoring data from RCRA facilities. EPA is currently updating this guidance and will post it in this location when it is complete. This site also has links to statistical software, such as GEO-EAS, GEOPACK, and SYSTAT.
EPA 530-SW-89-026.

EPA Soil Screening Guidance Document (1996)
It provides a variety of statistical approaches for sampling soils and comparing results to generic, risk-based soil screening levels (SSLs).
EPA 540-R-95-128.

GSLIB Geostatistical Software Library and User's Guide (1998)
GSLIB is a collection of geostatistical programs developed at Stanford University over the last 15 years. Deutsch, C.V., and A.G. Journel, New York: Oxford.

Engineering and Design: Practical Aspects of Applying Geostatistics at Hazardous, Toxic, and Radioactive Waste Sites (1997)
The principal purpose of this ETL is to introduce the reader to geostatistical techniques and to demonstrate their basic utility with respect to HTRW site investigations. The scope of this ETL will be limited principally to discussions and examples of two-dimensional point and block estimations using a geostatistical method known as kriging. U.S. Army Corps of Engineering, ETL 1110-1-175.

Standard Guide for Analysis of Spatial Variation in Geostatistical Site Investigations (2004)
This guide covers recommendations for analyzing, interpreting, and modeling spatial variation of regionalized variables in geotechnical and environmental site investigations. ASTM, D5922-96e1.

Standard Guide for Selection of Kriging Method in Geostatistical Site Investigations (2004)
This guide covers recommendations for selecting appropriate kriging methods based on study objectives, exploratory data analysis, and analysis of spatial variation. ASTM, D5923-96e1.

Standard Guide for Selection of Simulation Approaches in Geostatistical Site Investigations (2004)
This guide covers the conditions that determine the selection of a suitable simulation approach for a site investigation problem. Alternative simulation approaches considered here are conditional and nonconditional, indicator and Gaussian, single and multiple realization, point, and block. ASTM, D5924-96e1.

Rapid Data Access: Key to Integrated Use of Environmental Characterization and Monitoring Information (1995)
By adding mouse-sensitive site maps and post-processing capabilities, LLNL has extended the utility of standard web browsers, such Netscape or Mosaic. Users can retrieve chemical compound concentrations, ground water elevations, descriptive information about monitoring locations, or analytical services cost estimations. Lawrence Livermore National Laboratory.