Examining controls on peak annual streamflow and floods in the Fraser River Basin of British Columbia
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Published:2018-04-16
Issue:4
Volume:22
Page:2285-2309
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ISSN:1607-7938
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Container-title:Hydrology and Earth System Sciences
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language:en
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Short-container-title:Hydrol. Earth Syst. Sci.
Author:
Curry Charles L.,Zwiers Francis W.
Abstract
Abstract. The Fraser River Basin (FRB) of British Columbia is one of the largest and
most important watersheds in western North America, and home to a rich
diversity of biological species and economic assets that depend implicitly
upon its extensive riverine habitats. The hydrology of the FRB is dominated
by snow accumulation and melt processes, leading to a prominent annual peak
streamflow invariably occurring in May–July. Nevertheless, while annual peak
daily streamflow (APF) during the spring freshet in the FRB is historically
well correlated with basin-averaged, 1 April snow water equivalent (SWE),
there are numerous occurrences of anomalously large APF in below- or
near-normal SWE years, some of which have resulted in damaging floods in the
region. An imperfect understanding of which other climatic factors contribute
to these anomalously large APFs hinders robust projections of their magnitude
and frequency. We employ the Variable Infiltration Capacity (VIC) process-based hydrological
model driven by gridded observations to investigate the key controlling
factors of anomalous APF events in the FRB and four of its subbasins that
contribute nearly 70 % of the annual flow at Fraser-Hope. The relative
influence of a set of predictors characterizing the interannual variability
of rainfall, snowfall, snowpack (characterized by the annual maximum value,
SWEmax), soil moisture and temperature on simulated APF at Hope
(the main outlet of the FRB) and at the subbasin outlets is examined within a
regression framework. The influence of large-scale climate modes of
variability (the Pacific Decadal Oscillation (PDO) and the
El Niño–Southern Oscillation – ENSO) on APF magnitude is also assessed,
and placed in context with these more localized controls. The results
indicate that next to SWEmax (univariate Spearman correlation
with APF of ρ^ = 0.64; 0.70 (observations; VIC simulation)),
the snowmelt rate (ρ^ = 0.43 in VIC), the ENSO and PDO indices
(ρ^ = −0.40; −0.41) and (ρ^ = −0.35;
−0.38), respectively, and rate of warming subsequent to the date of
SWEmax (ρ^ = 0.26; 0.38), are the most influential
predictors of APF magnitude in the FRB and its subbasins. The identification
of these controls on annual peak flows in the region may be of use in
understanding seasonal predictions or future projected streamflow changes.
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
Copernicus GmbH
Subject
General Earth and Planetary Sciences,General Engineering,General Environmental Science
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