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Location Information | Location Notes |
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U.S. Forest Service - Pacific Southwest Research Station (USFS - PSW) | Pat Manley - U.S. Forest Service - Pacific Southwest Research Station (USFS - PSW) | |||
University of California, Davis (UC Davis) | Kat McIntyre - Tahoe Regional Planning Agency (TRPA) |
No expected performance measures set for this project.
No annual performance measure accomplishments entered for this project.
No accomplishments to report for: | |
Year(s) | 2011, 2012, 2013, 2014, 2015, 2016 |
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Explanation | none defined |
Total | |||
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Southern Nevada Public Land Management Act (Pacific Southwest Research Station) (USFS - PSW) | $166,495 | $166,495 | $0 |
Grand Total | $166,495 | $166,495 | $0 |
Total | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | |
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Southern Nevada Public Land Management Act (Pacifi... | $166,495 | $27,749 | $27,750 | $27,750 | $27,750 | $27,749 | $27,747 |
Grand Total | $166,495 | $27,749 | $27,750 | $27,750 | $27,750 | $27,749 | $27,747 |
No watersheds set for this project.
No Threshold Categories set for this project.
No Local and Regional Plans set for this project.
No Related Projects set for this project.
11/06/2017 12:17 PM | Matt Driscoll | This Final Report will be valuable to resource specialists in Basin regulatory and land management agencies; high-quality photographs, scientific tables, graphs, and illustrations support the technical discussions. The bulk of the text, especially pertaining to statistical analyses and conditioning of historic datasets, will likely be very challenging to a layman audience and would benefit from substantial simplification and publishing edits, to that end. In this study, they developed and compared different methods of calculating total constituent loads, and expressed the results as the number of samples (per station-year) required to achieve a given level of confidence [that the true load is within a given error band around the estimated load]. Using the best methods (e.g., those that maximize precision and minimize bias), they recalculated the total annual loads of NO3-N, NH4-N, TKN, SRP, TP and SSC for all of the LTIMP water quality sampling stations over the periods of record. They then related the annual loads to annual runoff and maximum daily peak discharge, and (for all but NH4-N) analyzed time trends in the residuals. Finally, they provided recommendations for which water quality sampling stations to prioritize, should budgets not be sufficient to continue to maintain the entire LTIMP network. The findings and management implications are: -Significant downward trends were found for many water quality parameters over the historic record examined; these improvements in water quality represent long-term recovery of terrestrial ecosystems from 19th and 20th century disturbance. -Near-continuous measurement of turbidity and temperature with automated probes should become a central part of the realigned LTIMP. -Fine sediment is now recognized as an important factor in lake clarity and is incorporated in the TMDL targets and used in the Lake Clarity Model. Increased emphasis should be placed on its measurement as number of particles. -The time-of-sampling bias for dissolved constituents can only be addressed by increased night-time sampling during snowmelt and storm runoff. This would require either use of automated pumping samplers, or grab sampling from stream banks. -The realigning and improvement in LTIMP should be considered a work-in-progress. There is still room for improvement in the load calculation programs, and with simultaneous measurement of fine sediment and turbidity, confidence limits and error bands on fine sediment loads could be better estimated. -The program's contribution to addressing water quality problems could be improved by periodic (at least annual) inspection of the concentration data as they become available. Unusual spikes in concentration could provide a basis for targeted synoptic sampling designed to identify problems for remediation or enforcement action. -If station numbers need to be reduced for budget reasons, stations on the big contributing streams (Ward, Blackwood, Trout Creeks and the UTR) should have priority for continued discharge measurement and sampling. |