Discussion: Accumulated basin storage as a factor in the correlation structure of annual peak flows on the Red River

1987 ◽  
Vol 14 (2) ◽  
pp. 288-290
Author(s):  
A. A. Warkentin
Keyword(s):  
Red River ◽  
Correlation Structure ◽  
Peak Flows ◽  
Annual Peak

Accumulated basin storage as a factor in the correlation structure of annual peak flows on the Red River

1986 ◽  
Vol 13 (3) ◽  
pp. 365-374 ◽  
Author(s):  
C. Booy ◽  
L. M. Lye
Keyword(s):  
Time Series ◽  
Soil Moisture ◽  
Flood Risk ◽  
Red River ◽  
Correlation Structure ◽  
Peak Flows ◽  
Red River Valley ◽  
Annual Peak ◽  
Spring Peak ◽  
Moisture Conditions

The well-established occurrence of exceptionally high floods on the Red River prior to the record of annual peak flows at Winnipeg is an important factor in the flood risk assessment for that city and for the entire Red River valley. But the weight given to this occurrence is quite dependent on the autocorrelation structure assumed for the spring peak time series. It is therefore important to decide whether the clustering of high peak flows, which can be observed in the record, is a mere chance phenomenon or indeed a characteristic of the runoff process. In earlier studies this clustering was found to be significant in a statistical sense. The present study aims at finding a physical explanation for this particular type of correlation structure. It presents the accumulated basin storage (ABS) as a physically based parameter that measures average soil moisture conditions in the drainage basin. The reconstructed record of ABS values just prior to the spring runoff shows a very high first-order autocorrelation coefficient. Relatively wet and relatively dry soil conditions therefore tend to persist over long periods. Since the magnitude of the spring peak is significantly affected by soil moisture conditions prior to snowmelt, the structure of the annual ABS time series can be expected to be reflected in the peak flow time series. This was found to be the case. The study thus supports earlier conclusions based on statistical evidence that the conventional assumption of serially independent spring peak floods seriously underestimates the flood risk for the City of Winnipeg and the Red River valley. Key words: accumulated basin storage, Red River floods, simulation, time series, clustering, streamflow persistence, serial correlation, flood risk.

Long-term dependence in annual peak flows of Canadian rivers

1994 ◽  
Vol 160 (1-4) ◽  
pp. 89-103 ◽  
Author(s):  
L.M. Lye ◽  
Yude Lin
Keyword(s):  
Peak Flows ◽  
Annual Peak

Using Artificial Neural Networks to Fill-in Missing Annual Peak Flows

2007 ◽  
Author(s):  
Steven K. Starrett ◽  
Shelli K. Starrett ◽  
Travis Heier ◽  
Yunsheng Su ◽  
Denny Tuan ◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Peak Flows ◽  
Annual Peak ◽  
Artificial Neural

scholarly journals Verification of empirical formulas for calculating annual peak flows with specific return period in the upper Vistula basin

2018 ◽  
Vol 2 ◽  
pp. 145-154 ◽  
Author(s):  
Dariusz Młyński ◽  
◽  
Andrzej Wałęga ◽  
Andrea Petroselli ◽  
◽  
...  
Keyword(s):  
Return Period ◽  
Empirical Formulas ◽  
Peak Flows ◽  
Annual Peak

scholarly journals Generalized Skew Coefficients of Annual Peak Flows for Rural, Unregulated Streams in West Virginia

2009 ◽  
Author(s):  
John T. Atkins ◽  
Jeffrey B. Wiley ◽  
Katherine S. Paybins
Keyword(s):  
West Virginia ◽  
Peak Flows ◽  
Annual Peak
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