Magnitude, frequency, and trends of floods at gaged and ungaged sites in Washington, based on data through water year 2014

Mastin, Mark C.; Konrad, Christopher P.; Veilleux, Andrea G.; Tecca, Alison E.

doi:10.3133/sir20165118

Cited by 17 publications

(14 citation statements)

References 20 publications

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“…The next step involves computing the weighted floodflow estimate for the ungaged site, Q (u) wtd , using the result from equation 11 and the following equation. As noted in Ries (2007) and Mastin (2016), this weighting algorithm gives full weight to the regression estimates when applied to ungaged locations 0.5 or 1.5 times the drainage area of the gaging station and increasing weight to the gaging station-based estimates as the drainage area ratio approaches 1. The weighting procedure should not be applied when the drainage area of the ungaged site is less than 0.5 or greater than 1.5 times the drainage area of the gaging station.…”

Section: Estimating Flood Flows At Ungaged Sites Near a Streamgagementioning

confidence: 99%

Development of regression equations for the estimation of flood flows at ungaged streams in Pennsylvania

Roland¹,

Stuckey²

2019

Scientific Investigations Report

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Section: Estimating Flood Flows At Ungaged Sites Near a Streamgagementioning

confidence: 99%

Development of regression equations for the estimation of flood flows at ungaged streams in Pennsylvania

Roland¹,

Stuckey²

2019

Scientific Investigations Report

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“…Regional patterns of drivers across Alaska are likely complex as they depend on climate and geography that can be both varied and extreme (Eaton & Moore, 2010; Shulski & Wendler, 2007). For example, regions of flood response to climate change for the contiguous United States and northern Europe are often a patchwork (Archfield et al., 2016; Matti et al., 2017) showing a range of responses at multiple scales (Mastin et al., 2016; Slater & Villarini, 2016). Alaska has sparse, short, and often discontinuous streamflow records and is often excluded from continental‐scale studies (e.g., Berghuijs et al., 2016).…”

Section: Introductionmentioning

confidence: 99%

Identification of Seasonal Streamflow Regimes and Streamflow Drivers for Daily and Peak Flows in Alaska

Curran

Biles

2021

Water Resources Research

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Alaska is among northern high‐latitude regions where accelerated climate change is expected to impact streamflow properties, including seasonality and primary flow drivers. Evaluating changes to streamflow, including flood characteristics, across this large and diverse environment can be improved by identifying the distribution and influence of flow drivers. Using metrics of mean monthly streamflow data from 253 streamgages, seasonal flow regimes were clustered to guide identification of seasonal flow drivers and form hydrologic groups for identification of peak‐flow populations. Nine seasonally distinct subclasses described variability within three classes dominated by (mostly fall) rainfall, (spring) snowmelt, and (summer) high‐elevation melt. The most glacierized basins exclusively grouped into high‐elevation melt subclasses, and less glacierized basins sometimes exhibited seasonal patterns aligned with rainfall‐dominated and snowmelt‐dominated regimes. Peak‐flow populations varied by subclass from dominant rainfall or dominant snowmelt to mixed rainfall–snowmelt or mixed rainfall, snowmelt, and high‐elevation melt. Within subclasses, rainfall generated higher mean peak flows (relative to mean annual flow) than snowmelt or high‐elevation melt. Seasonal flow regimes showed clear but complex associations with basin characteristics, primarily elevation and winter temperature, and with geographic location. These dependencies provided elevation‐based analogies for changes associated with warming and insights for seasonal flow regime prediction and hydrologic region delineation. These results provide a spatially comprehensive perspective on seasonal streamflow drivers across Alaska from historical data and serve as an important historical basis for analysis.

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“…River discharge has been measured since 1897 at U.S. Geological Survey (USGS) gaging station 12045500 (Figure 1b) within the middle reach. Mean annual flow is 42.7 m 3 /s, and the 2-year flood magnitude, Q2, is 399 m 3 /s (Mastin et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Geomorphic Evolution of a Gravel‐Bed River Under Sediment‐Starved Versus Sediment‐Rich Conditions: River Response to the World's Largest Dam Removal

et al. 2018

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Understanding river response to sediment pulses is a fundamental problem in geomorphic process studies, with myriad implications for river management. However, because large sediment pulses are rare and usually unanticipated, they are seldom studied at field scale. We examine fluvial response to a massive (~20 Mt) sediment pulse released by the largest dam removal globally, on the Elwha River, Washington, United States, in an 11‐year before‐after/control‐impact study of channel morphology and grain size. We test the hypothesis that for a given flow magnitude, greater geomorphic change occurs under sediment‐rich conditions than under sediment‐starved conditions. Channel response to flow forcing was significantly different during the sediment‐pulse peak, 1–2 years after dam removal began, than earlier or later. During peak sediment supply our hypothesis was supported; major geomorphic change occurred under low flows and unit stream power ≤60 W/m2. However, by 4–6 years after dam removal began, rates of geomorphic change and sensitivity to stream power had decreased substantially such that our hypothesis was no longer unequivocally supported. These findings are consistent with a two‐phase conceptual model of dam‐removal response, involving a transport‐limited state followed by a more supply‐limited state. From comparisons with other dam removals and natural sediment pulses, we infer that the longevity of sediment‐pulse signals in gravel‐bed rivers depends upon gradient, river discharge, valley morphology, and sediment grain size. Stream power associated with substantial geomorphic change varies with sediment supply, such that assigning a general threshold stream power to gravel‐bed rivers may be untenable.

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Magnitude, frequency, and trends of floods at gaged and ungaged sites in Washington, based on data through water year 2014

Cited by 17 publications

References 20 publications

Development of regression equations for the estimation of flood flows at ungaged streams in Pennsylvania

Development of regression equations for the estimation of flood flows at ungaged streams in Pennsylvania

Identification of Seasonal Streamflow Regimes and Streamflow Drivers for Daily and Peak Flows in Alaska

Geomorphic Evolution of a Gravel‐Bed River Under Sediment‐Starved Versus Sediment‐Rich Conditions: River Response to the World's Largest Dam Removal

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