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UNCERTAINTY ANALYSIS OF AVERAGE FLOW DURATION CURVES USED IN HYDRPOWER PLANTS FEASABILITY STUDIES

C. Simões, A. S. Ribeiro, M. C. Almeida, D. Covas

Abstract

This study applies a Monte Carlo method (MCM) to estimate the uncertainty related to the determination of the annual flow duration curve determined at a river weir, considering the dynamic behaviour of processes and the intrinsic uncertainty contributions to the raw data. The computation of the curve uses a time series of average daily flow data collected at a hydrometric station at an upstream river section. This curve was used for a hydropower plant feasibility study. Results show how model uncertainty can be estimated from the measurement uncertainty of raw data and mathematical formulation applied.

Keywords
Uncertainty; time series; mathematical models; Monte Carlo method; data
Download
IMEKO-TC11-2022-18.pdf
DOI
10.21014/tc11-2022.18
IMEKO TC
TC11 - Measurement in Testing, Inspection and Certification

Event details

Event
Joint IMEKO TC11 & TC24 hybrid conference
Technical Committee
TC11
Email
info@imekotc11-2022.com
Place
Dubrovnik, CROATIA
Time
16 October 2022 - 20 October 2022
Website
https://www.imekotc11-2022.com

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