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An Overview of Data Integration Methods for Regional Assessment

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Abstract:One of the goals of the EPA's Regional Vulnerability Assessment (ReVA) project is to take diverse environmental data and develop objective criteria to evaluate environmental risk assessments at the regions: scale. The data include (but are not limited to) variables for forests, air quality, water quality, biodiversity, human health socioeconomic, and measures of pollution. Although assessments are usually performed for these groups individually, ReVA has undertaken the task of trying to use all the available information together to allow for broader assessment.

This paper will briefly describe each of the integration methods currently being evaluated for assessment, and discuss how these methods are being used as objective criteria for risk assessment. These methods, once the evaluation is completed, will become available on the ReVA website (www.epa.gov/reva) as a web-based tool.
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Citation:Locantore, N. W., L. T. Tran, R. V. O'neill, P. W. Mckinnis, E. R. Smith, and M. O'connell. An Overview of Data Integration Methods for Regional Assessment. ENVIRONMENTAL MONITORING AND ASSESSMENT 94(1-3):249-261, (2004).
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Contact: Chris Siebert - (702) 798-2234 or siebert.christopher@epa.gov
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Division: Environmental Sciences Division
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Branch: Landscape Characterization Branch (RTP)
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Product Type: Journal
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Published: 06/01/2004
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Related Entries:
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Bullet Item Regional Scale Comparative Risk Assessment
spacer Relationship Reason:   A Project of the Product
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Last Updated on Monday, October 22, 2007
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