Changes in cold region flood regimes inferred from long-record reference gauging stations

被引:37
作者
Burn, Donald H. [1 ]
Whitfield, Paul H. [2 ,3 ]
机构
[1] Univ Waterloo, Dept Civil & Environm Engn, Waterloo, ON, Canada
[2] Univ Saskatchewan, Ctr Hydrol, Canmore, AB, Canada
[3] Simon Fraser Univ, Dept Earth Sci, Burnaby, BC, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
EL-NINO; TRENDS; FREQUENCY; MAGNITUDE; IDENTIFICATION; SEASONALITY; PROJECTIONS; OSCILLATION; EUROPE; RIVERS;
D O I
10.1002/2016WR020108
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Variability and nonstationarity in flood regimes of cold regions are examined using data from hydrometric reference streamflow gauging stations from 27 natural watersheds in Canada and adjacent areas of the United States. Choosing stations from reference networks with nearly 100 years of data allows for the investigation of changes that span several phases of some of the atmospheric drivers that may influence flood behavior. The reference hydrologic networks include only stations considered to have good quality data and were screened to avoid the influences of regulation, diversions, or land use change. Changes and variations in flood regimes are complex and require a multifaceted approach to properly characterize the types of changes that have occurred and are likely to occur in the future. Peaks over threshold (POT) data are extracted from daily flow data for each watershed, and changes to the magnitude, timing, frequency, volume, and duration of threshold exceedences are investigated. Seasonal statistics are used to explore changes in the nature of the flood regime based on changes in the timing of flood threshold exceedences. A variety of measures are developed to infer flood regime shifts including from a nival regime to a mixed regime and a mixed regime to a more pluvial-dominated regime. The flood regime at many of the watersheds demonstrates increased prominence of rainfall floods and decreased prevalence of snow-melt contributions to flood responses. While some individual stations show a relationship between flood variables and climate indices, these relationships are generally weak.
引用
收藏
页码:2643 / 2658
页数:16
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