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EVALUATING WATER QUALITY IMPACTS OF WATERSHED ALTENRATIVES USING AN INTEGRATED MODELING APPROACH ON THE TRUCKEE RIVER

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Abstract:

This paper presents the findings, conclusions and recommendations for the implementation of an integrated modeling approach on the Truckee River to evaluate water quality impacts of various watershed alternatives in order to implement a trading program for TMDL modifications on the Truckee River. In addition, this paper discusses the viability of a seasonal TMDL and includes a discussion on the phased approach towards developing water quality trading permit language. The State of Nevada's Division of Environmental Protection (NDEP) listed the Truckee River on their 1988 303(d) list and established TMDLS for total nitrogen, total phosphorus and TDS on the Nevada side of the river. As a result of the TMDL process, the Truckee Meadows Water Reclamation Facility (TMWRF) had waste load allocations (WLAs) incorporated into their NPDES permit, which has resulted in potential restrictions on planned growth. In order to accommodate for planned growth and to meet water quality objectives, a water quality load trading program is being implemented. The development of the trading program, includes establishing the technical basis for modifying the TMDLs and WLAs and for identifying the optimum mix of structural and nonstructural projects and programs to be implemented. This involves the development of watershed and water quality models. In addition, the development of the water quality trading program involves a phased NPDES permitting approach, while water quality trades are developed, implemented and regionally accepted.

Document Type: Research Article

DOI: http://dx.doi.org/10.2175/193864702784163146

Publication date: January 1, 2002

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  • Proceedings of the Water Environment Federation is an archive of papers published in the proceedings of the annual Water Environment Federation® Technical Exhibition and Conference (WEFTEC® ) and specialty conferences held since the year 2000. These proceedings are not peer reviewed.

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