Estimation of Critical Uncertainty Sources in Discharge Measurements using Controlled Experimental Conditions

Dongsu Kim; Aurélien Despax; Marian Muste; Jérôme Le Coz

doi:10.1051/e3sconf/20184006046

Back

Estimation of Critical Uncertainty Sources in Discharge Measurements using Controlled Experimental Conditions

Journal article

Open access

Peer reviewed

Estimation of Critical Uncertainty Sources in Discharge Measurements using Controlled Experimental Conditions

Dongsu Kim, Aurélien Despax, Marian Muste and Jérôme Le Coz

E3S web of conferences, Vol.40, p.6046

01/01/2018

DOI: 10.1051/e3sconf/20184006046

Files and links (1)

url

https://doi.org/10.1051/e3sconf/20184006046View

Published (Version of record) Open Access

Abstract

Providing experimental results along with associated uncertainties is essential not only for ensuring confidence in the quality of the final results but also for guiding improved instrument design and the protocols for measurement acquisition. Moreover, if the uncertainty analysis is conducted in a controlled manner and over a wide range for the measured variables its results can serve as a decision-making aid in conducting new experiments. This paper provides three examples of end-to-end assessments of the impact of uncertainty sources involved in the discharge estimation in open channels using point velocities measured with Acoustic Doppler Velocimeter. The analyzed uncertainty sources are: a) the sampling duration for velocity measurement, b) the number of points in the verticals, and, c) the number of verticals across the measurement cross-section. The raw data for the uncertainty estimations were acquired at the KICT River Experiment Center (South Korea), an experimental facility designed for facilitiating quasi natural-scale experiments. The three sources of uncertainties are assembled in practical visualization means that can be used for planning the acquisition of new experiments with similar instruments.

Details

Title: Subtitle: Estimation of Critical Uncertainty Sources in Discharge Measurements using Controlled Experimental Conditions
Creators: Dongsu Kim
Aurélien Despax
Marian Muste - University of Iowa
Jérôme Le Coz - Communauté urbaine de Lyon
Contributors: A. Paquier (Editor)
N. Rivière (Editor)
Resource Type: Journal article
Publication Details: E3S web of conferences, Vol.40, p.6046
DOI: 10.1051/e3sconf/20184006046
ISSN: 2267-1242
eISSN: 2267-1242
Language: English
Date published: 01/01/2018
Academic Unit: IIHR--Hydroscience and Engineering; Geographical and Sustainability Sciences
Record Identifier: 9984459627402771

Metrics

6 Record Views