Journal article
Testing protocols for smoothing datasets of hydraulic variables acquired during unsteady flows
Hydrological sciences journal, Vol.69(13), pp.1813-1830
2024
DOI: 10.1080/02626667.2024.2394169
Abstract
Flood wave propagation involves complex flow variable dependencies. Continuous in situ hydrograph peak magnitude and timing data provide the most relevant information for understanding these dependencies. New acoustic instruments can produce experimental evidence by extracting usable signals from noisy datasets. This study presents a new screening protocol to smoothen streamflow data from unwanted influences and noise generated by flow perturbations and observational fluctuations. The protocol combines quantitative (statistical fitness parameters) and qualitative (domain expert judgments) evaluations. It is tested with 18 smoothing methods to identify optimal data conditioning candidates. Sensitivity analyses assess the validity, generality, and scalability of the procedures. The goal of this analysis is to set a mathematical foundation for empirical results that can lead to unified, general conclusions on principles or protocols for unsteady flows propagating in open channels, formulating practical guidance for future data acquisition and processing, and using in situ data to better support data-driven modeling efforts.
Details
- Title: Subtitle
- Testing protocols for smoothing datasets of hydraulic variables acquired during unsteady flows
- Creators
- Özlem Baydaroğlu - University of Iowa, IIHR--Hydroscience and EngineeringMarian Muste - University of IowaAtiye Beyza Cikmaz - University of IowaKyeongdong Kim - University of IowaEhab Meselhe - Tulane UniversityIbrahim Demir - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Hydrological sciences journal, Vol.69(13), pp.1813-1830
- DOI
- 10.1080/02626667.2024.2394169
- ISSN
- 0262-6667
- eISSN
- 2150-3435
- Publisher
- TAYLOR & FRANCIS LTD
- Grant note
- NSF: EAR-HS 2139649 NWS/NOAA: NA22NWS4320003
The authors acknowledge the partial support offered by the NSF EAR-HS 2139649 award that triggered the need for this study. The fourth author acknowledges the support of the NA22NWS4320003 award funded by NWS/NOAA. Special thanks to Ciprian Bacotiu (Technical University Cluj-Napoca, Romania) and Fleit Gabor (Budapest University of Technology and Economics, Budapest, Hungary) for their comments that enriched the discussions regarding this analysis.
- Language
- English
- Electronic publication date
- 09/05/2024
- Date published
- 2024
- Academic Unit
- Electrical and Computer Engineering; Civil and Environmental Engineering; IIHR--Hydroscience and Engineering; Injury Prevention Research Center; Geographical and Sustainability Sciences; Mechanical Engineering
- Record Identifier
- 9984701835202771
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