Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for its verification in a drinking water treatment plant

ABSTRACT This article investigates a nonstandard Parshall flume (Pf) to assess the impact of engineering deficiencies on flow rate (Q) estimation and compare experimental techniques for evaluating its performance in Q quantification and velocity gradient (G) appraisal during rapid mixing. Considering construction and instrumentation issues in the studied Pf, Q estimates were 10% lower than those derived from the standard rating curve (SRC), with 9% of this discrepancy attributable to the high placement of the stilling well scale and 1% to the position of the connecting pipe to the gauging section. When contrasting Q estimates from the SRC to the current rating curve in use and a set of rating curves fitted using salt dilution gauging (SDG), acoustic Doppler velocimetry (ADV), and numerical modeling (CFD), the average differences were −10.2, −8.3, −2.2, and 0.2%, respectively, for the current rating curve in use and those fitted to ADV, SDG, and CFD data. Considering only the instrumental measuring techniques, the SDG exhibited superior fittings (R2 = 0.99), followed by ADV (R2 = 0.95). Calculations of G aligned (9.3%) with CFD estimates support these methods as reliable tools for evaluating and verifying nonstandard Pf performance.

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Publication Details

Journal
Water Practice & Technology
Published
2024-08-01
DOI
https://doi.org/10.2166/wpt.2024.210
Primary Topic
Water Systems and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for its verification in a drinking water treatment plant

Matías Ragessi, Ana Inés Heredia Ligorria, Carlos Gastón Catalini, José M. Díaz Lozada et al.
Water Practice & Technology
Water Systems and Optimization
article

Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for its verification in a drinking water treatment plant

Matías Ragessi, Ana Inés Heredia Ligorria, Carlos Gastón Catalini, José M. Díaz Lozada, José Gabriel León, Gabriel Sentlinger, Carlos M. García, Adriana Beatriz Muchiut
article en

Abstract

ABSTRACT This article investigates a nonstandard Parshall flume (Pf) to assess the impact of engineering deficiencies on flow rate (Q) estimation and compare experimental techniques for evaluating its performance in Q quantification and velocity gradient (G) appraisal during rapid mixing. Considering construction and instrumentation issues in the studied Pf, Q estimates were 10% lower than those derived from the standard rating curve (SRC), with 9% of this discrepancy attributable to the high placement of the stilling well scale and 1% to the position of the connecting pipe to the gauging section. When contrasting Q estimates from the SRC to the current rating curve in use and a set of rating curves fitted using salt dilution gauging (SDG), acoustic Doppler velocimetry (ADV), and numerical modeling (CFD), the average differences were −10.2, −8.3, −2.2, and 0.2%, respectively, for the current rating curve in use and those fitted to ADV, SDG, and CFD data. Considering only the instrumental measuring techniques, the SDG exhibited superior fittings (R2 = 0.99), followed by ADV (R2 = 0.95). Calculations of G aligned (9.3%) with CFD estimates support these methods as reliable tools for evaluating and verifying nonstandard Pf performance.

Water Practice & TechnologyVol. 19(8)
Universidad Católica de Córdoba (AR), Consejo Nacional de Investigaciones Científicas y Técnicas (AR), Universidad Nacional de Córdoba (AR)
Universidad Católica de Córdoba, Universidad Nacional de Córdoba, Consejo Nacional de Investigaciones Científicas y Técnicas, Universidad de Córdoba, Agencia Nacional de Promoción de la Investigación, el Desarrollo Tecnológico y la Innovación, Secretaria de Ciencia y Tecnología - Universidad Nacional de Córdoba
Clean water and sanitation
Openalex Percentile: Top 85%
Water Systems and Optimization
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