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RECORD NUMBER: 161 OF 2521

OLS Field Name OLS Field Data
Main Title Assessing the Challenges Associated with Developing an Integrated Modeling Approach for Predicting and Managing Water Quality and Quantity from the Watershed through the Drinking Water Treatment System.
Author S. C. Karcher ; J. M. VanBriesen ; C. T. Nietch
CORP Author Carnegie-Mellon Univ., Pittsburgh, PA. Dept. of Civil and Environmental Engineering.; National Risk Management Research Lab., Cincinnati, OH. Water Supply and Water Resources Div.
Year Published 2012
Report Number EPA/600/R-12-030; EP-C-09-041
Stock Number PB2013-102634
Additional Subjects Watersheds ; Water quality ; Drinking water ; Water systems ; Challenges ; Data base management ; Economic impact ; Ecosystems ; Land use ; Standardization ; Surface water ; Water pollution control ; Water treatment
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NTIS  PB2013-102634 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 04/24/2013
Collation 69p
Abstract Natural and engineered water systems interact throughout watersheds (e.g., at water intakes, wastewater outfalls and water pipe breaks of all kinds), and while there is clearly a link between watershed activities and the quality of water entering the engineered environment, surface water and drinking water are considered distinct operational systems. As a result, the strategic approach to data management and modeling within the two systems is very different, leading to significant difficulties in integrating the two systems in order to make comprehensive watershed decisions. In this paper, we describe a highly-structured data storage and exchange system that integrates multiple tools and models, describing both natural and engineered environments to provide a scientifically based, economic tool for assessing the impact of land use policy decisions on ecosystems and on the treatability of the water for human use. Our underlying objective in presenting our conceptual design for this water information system is to challenge the current paradigm for modeling water systems, and to advocate for moving towards the standardization of data storage and transfer protocols within the water science community.
Supplementary Notes Prepared in cooperation with National Risk Management Research Lab., Cincinnati, OH. Water Supply and Water Resources Div.
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PUB Date Free Form Mar 2012
Category Codes 68D; 50B; 48G
NTIS Prices PC A05
Document Type NT
Cataloging Source NTIS/MT
Control Number 102202120
Origin NTIS
Type CAT