scholarly journals Flood of January 1997 in Truckee River Basin, Western Nevada

Fact Sheet ◽  
1997 ◽  
Author(s):  
Glen W. Hess ◽  
Rhea P. Williams
Keyword(s):  
2017 ◽  
Vol 4 (11) ◽  
pp. 171253 ◽  
Author(s):  
Mary M. Peacock ◽  
Evon R. Hekkala ◽  
Veronica S. Kirchoff ◽  
Lisa G. Heki

Currently one small, native population of the culturally and ecologically important Lahontan cutthroat trout ( Oncorhynchus clarkii henshawi , LCT, Federally listed) remains in the Truckee River watershed of northwestern Nevada and northeastern California. The majority of populations in this watershed were extirpated in the 1940s due to invasive species, overharvest, anthropogenic water consumption and changing precipitation regimes. In 1977, a population of cutthroat trout discovered in the Pilot Peak Mountains in the Bonneville basin of Utah, was putatively identified as the extirpated LCT lacustrine lineage native to Pyramid Lake in the Truckee River basin based on morphological and meristic characters. Our phylogenetic and Bayesian genotype clustering analyses of museum specimens collected from the large lakes (1872–1913) and contemporary samples collected from populations throughout the extant range provide evidence in support of a genetically distinct Truckee River basin origin for this population. Analysis of museum samples alone identified three distinct genotype clusters and historical connectivity among water bodies within the Truckee River basin. Baseline data from museum collections indicate that the extant Pilot Peak strain represents a remnant of the extirpated lacustrine lineage. Given the limitations on high-quality data when working with a sparse number of preserved museum samples, we acknowledge that, in the end, this may be a more complicated story. However, the paucity of remnant populations in the Truckee River watershed, in combination with data on the distribution of morphological, meristic and genetic data for Lahontan cutthroat trout, suggests that recovery strategies, particularly in the large lacustrine habitats should consider this lineage as an important part of the genetic legacy of this species.


Fact Sheet ◽  
1997 ◽  
Author(s):  
Steven N. Berris ◽  
Glen Hess ◽  
R. Lynn Taylor ◽  
Larry R. Bohman

1992 ◽  
Vol 134 (1-4) ◽  
pp. 203-219 ◽  
Author(s):  
Sean A. McKenna ◽  
Neil L. Ingraham ◽  
Roger L. Jacobson ◽  
Gilbert F. Cochran

2014 ◽  
Vol 11 (5) ◽  
pp. 5077-5114 ◽  
Author(s):  
L. E. Condon ◽  
S. Gangopadhyay ◽  
T. Pruitt

Abstract. Future flood frequency for the Upper Truckee River Basin (UTRB) is assessed using non-stationary extreme value models and design life risk methodology. Historical floods are simulated at two UTRB gauge locations, Farad and Reno using the Variable Infiltration Capacity (VIC) model and non-stationary Generalized Extreme Value (GEV) models. The non-stationary GEV models are fit to the cool season (November–April) monthly maximum flows using historical monthly precipitation totals and average temperature. Future cool season flood distributions are subsequently calculated using downscaled projections of precipitation and temperature from the Coupled Model Intercomparison Project Phase-5 (CMIP-5) archive. The resulting exceedance probabilities are combined into a single risk metric using recent developments in design life risk methodologies. This paper provides the first end-to-end analysis using non-stationary GEV methods coupled with contemporary downscaled climate projections to demonstrate how the risk profile of existing infrastructure evolves with time over its design life. Results show that flood risk increases significantly over the analysis period (from 1950 through 2099). This highlights the potential to underestimate flood risk using traditional methodologies that do not account for time varying risk. Although model parameters, for the non-stationary method are sensitive to small changes in input parameters, analysis shows that the changes in risk over time are robust. Overall, flood risk at both locations (Farad and Reno) is projected to increase 10–20% between the historical period 1950–1999 and the future period 2000–2050 and 30–50% between the same historical period and 2050–2099.


2021 ◽  
Author(s):  
Christine Albano ◽  
Michael Dettinger ◽  
Michael Imgarten

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