scholarly journals Methods for estimating magnitude and frequency of floods in Arizona, developed with unregulated and rural peak-flow data through water year 2010

2014 ◽  
Author(s):  
Nicholas V. Paretti ◽  
Jeffrey R. Kennedy ◽  
Lovina A. Turney ◽  
Andrea G. Veilleux
Keyword(s):  
Peak Flow ◽  
Flow Data

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.

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.

scholarly journals An Intervention to Increase the Use of Asthma Action Plans in Schools: A MASNRN Study

2007 ◽  
Vol 23 (3) ◽  
pp. 170-176 ◽  
Author(s):  
Joyce Pulcini ◽  
Marie C. DeSisto ◽  
C. Lynne McIntyre
Keyword(s):  
Peak Flow ◽  
Action Plan ◽  
Primary Care Providers ◽  
School Nurses ◽  
Care Providers ◽  
Flow Data ◽  
Flow Measurements ◽  
Flow Monitoring ◽  
Children With Asthma ◽  
Asthma Action Plans

School nurses, in collaboration with primary care providers (PCPs), can work to better manage asthma by using the Asthma Action Plan (AAP) with peak flow monitoring. The aim of this pilot study was to determine the effectiveness of an intervention to increase the number of AAPs in schools for students with asthma by having school nurses provide the students’ peak flow measurements to their PCPs with a request for an AAP. The study found a significant increase in AAPs when school nurses provided PCPs with accurate peak flow data and requested an AAP from the PCP than when school nurses requested an AAP via the students’ parents and did not provide peak flow data to the PCP. This study provided data on the importance of collaboration with PCPs in order to affect better care for children with asthma.

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