scholarly journals Evaluation of peak-flow data network of small streams in Missouri

1980 ◽  
Keyword(s):  
Peak Flow ◽  
Flow Data ◽  
Data Network ◽  
Small Streams

Estimating Instantaneous Peak Flow from Mean Daily Flow Data

2003 ◽  
Vol 8 (6) ◽  
pp. 365-369 ◽  
Author(s):  
Heinz Dieter Fill ◽  
Alexandre Arns Steiner
Keyword(s):  
Peak Flow ◽  
Flow Data

Exploring frequency analysis alternatives on instantaneous peak flow, in the context of flood plain delineation in Southern Québec, Canada.

2021 ◽  
Author(s):  
Simon Ricard ◽  
Alexis Bédard-Therrien ◽  
Annie-Claude ACP Parent ◽  
Brian Morse ◽  
François Anctil
Keyword(s):  
Frequency Analysis ◽  
Peak Flow ◽  
Flood Plain ◽  
Flood Frequency ◽  
Regional Frequency Analysis ◽  
Flood Frequency Analysis ◽  
Flow Data ◽  
Specific Context ◽  
Pros And Cons ◽  
Regional Frequency

A flood frequency analysis is conducted using instantaneous peak flow data over a hydrologic sub-region of southern Québec following three distinct methodological frameworks. First, the analysis is conducted locally using available instantaneous peak flow data. Second, the analysis is conducted locally using daily peak flow data processed in order to consider the peak flow effect. Third, a regional frequency analysis is conducted pooling all available instantaneous peak flow data over the study area. Results reveal a notable diversity in the resulting recurrence peak flow estimates and related uncertainties from one analysis to another. Expert judgement appears essential to arbitrate which alternative should be operated considering a specific context of application for flood plain delineation. Pros and cons for each approach are discussed. We finally encourage the use of a diversity of approaches in order to provide a robust assessment of uncertainty affecting peak flow estimates.

scholarly journals Distribution of Agonostomus monticola and Brycon behreae in the Río Grande de Térraba, Costa Rica and relations with water flow

2010 ◽  
Vol 8 (4) ◽  
pp. 841-849 ◽  
Author(s):  
Thiago Cotta Ribeiro ◽  
Gerardo Umaña Villalobos
Keyword(s):  
Costa Rica ◽  
Peak Flow ◽  
Low Flow ◽  
Main Stream ◽  
Main River ◽  
Small Streams ◽  
Study Population ◽  
June July ◽  
Fish Habitats ◽  
Made In

Fish monthly samples were made in three tributaries and in the main stream in order to study population dynamics and the influence of flow on abundance of Agonostomus monticola (Mugilidae) and Brycon behreae (Characidae) in the basin of Térraba River Basin (Costa Rica). Flow was seasonal in these rivers, with peak flow in October. Recruitment was different among the species, B. behreae recruited from January to June and A. monticola all year round with a peak in June-July and October-November. Juveniles were more abundant in smaller streams. Abundance was higher in general during low flow and low turbidity periods. The results suggest that the streams have an important role in the maintenance of both species in the ecosystem, where juveniles can use the streams as nursing habitats during their development, allowing these small streams to be considered as essential fish habitats. Also, it was determined that the increased volume and turbidity of water can significantly affect the proportion of adults and juveniles between the main river and its tributaries.

Comparison of different methods for reconstruction of instantaneous peak flow data

2016 ◽  
Vol 23 (1) ◽  
pp. 41-49 ◽  
Author(s):  
Ali Fathzadeh ◽  
Azam Jaydari ◽  
Ruhollah Taghizadeh-Mehrjardi
Keyword(s):  
Peak Flow ◽  
Flow Data

scholarly journals Genetic evaluation of Canadian dairy bulls for milking speed with an animal model

1992 ◽  
Vol 72 (1) ◽  
pp. 169-172 ◽  
Author(s):  
G. Banos ◽  
E. B. Burnside
Keyword(s):  
Animal Model ◽  
Peak Flow ◽  
Biological Significance ◽  
Flow Data ◽  
Linear Scale ◽  
Average Flow Rate ◽  
Average Flow ◽  
Brown Swiss ◽  
Time Average ◽  
Dairy Bulls

Bull proofs for milking speed were computed under an animal model for five dairy breeds. Data were subjective scores on first lactation cows from all milk recording agencies across Canada. There were 1411 Holstein, 171 Ayrshire, 85 Jersey, 31 Guernsey, and 17 Brown Swiss bulls that received official evaluations. Bull proofs were expressed on a linear scale from 1 to 9, where 9 designated bulls with the fastest milking daughters. The biological significance of these proofs was investigated using 6965 weekly cow records of total milking time, average flow rate, and peak flow. Data were on 119 Holstein cows by 41 officially proven sires. Increases in proofs of 1 point on the linear scale were associated with decreases in total milking time of 20 s and increases of 64 g min−1 and 140 g in average and peak flow, respectively. Key words: Milking speed, animal model, national evaluation, dairy bulls

scholarly journals Computer assisted display and analysis of sequential peak flow data.

1978 ◽  
Vol 5 (3) ◽  
pp. 273-275 ◽  
Author(s):  
DM Clarkson ◽  
EM Lumb ◽  
GJ McHardy
Keyword(s):  
Peak Flow ◽  
Computer Assisted ◽  
Flow Data

COMPARISON OF FLOOD DISTRIBUTION MODELS FOR JOHOR RIVER BASIN

2015 ◽  
Vol 74 (11) ◽  
Author(s):  
Ahmad Zuhdi Ismail ◽  
Zulkifli Yusop ◽  
Zainab Yusof
Keyword(s):  
River Basin ◽  
Peak Flow ◽  
Maximum Flow ◽  
Flood Event ◽  
Distribution Model ◽  
Annual Maximum ◽  
Flow Data ◽  
Water Control ◽  
Distribution Models ◽  
Annual Peak

One of the most useful and commonly used parameters to describe a flood event is peak flow or annual maximum flood. In many localities, storm water control facilities are required and their sizes are determined based on certain peak flow magnitude. This study aimed at estimating the average recurrent interval (ARI) of flood event for Johor River basin based on the distributions of annual peak flow. The analysis used annual maximum flow data from July 1965 to June 2010 recorded at the Rantau Panjang gauging station. Five distribution models, namely Generalized Extreme Value (GEV), Lognormal, Pearson 5, Weibull and Gamma were tested. The goodness fit test (GOF) of Kolmogorov-Smirnov (K-S) was used to evaluate and estimate the best-fitted distribution. The results reaffirm the current practice that GEV is still the best-fitted distribution model for fitting the annual peak flow data. On the other hand, gamma distribution showed the poorest result.

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