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Verification of Hydraulic Parameters of Nature-like Fish Pass

Water (Basel), 2023-07, Vol.15 (13), p.2478 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2073-4441 ;EISSN: 2073-4441 ;DOI: 10.3390/w15132478

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  • Title:
    Verification of Hydraulic Parameters of Nature-like Fish Pass
  • Author: Čubanová, Lea ; Rumann, Ján ; Vidová, Alexandra ; Almikaeel, Wael ; Rebenda, Filip
  • Subjects: 1D mathematical model ; 2D mathematical model ; Analysis ; Boulders ; Creeks & streams ; Depth ; Design ; Fish ; Fishways ; Flow velocity ; Hydraulics ; Management ; Mathematical models ; Model accuracy ; nature-like fish pass ; One dimensional models ; Parameters ; Problem solving ; Rivers ; Root-mean-square errors ; roughness coefficient ; Sills ; Two dimensional models ; velocity ; Velocity distribution ; Water
  • Is Part Of: Water (Basel), 2023-07, Vol.15 (13), p.2478
  • Description: Nature-like fish passes are commonly designed as a preferred way to overcome barriers in rivers. However, meeting the recommended hydraulic parameters for these passes can be challenging. As a result, boulders or sills are often incorporated to supplement their structure. From a hydraulic standpoint, the crucial parameters under investigation are the depths and velocities (or the corresponding velocity field). In this study, a comprehensive analysis was conducted on a full-width rock-ramp fish pass constructed in a river, specifically targeting the barbel zone. The achieved parameters were assessed through direct field measurements, complemented by mathematical modeling using 1D and 2D HEC-RAS models (version 6.3.1). For the assessment of model accuracy, the error indices root mean square error (RMSE) and mean absolute error (MAE) were used. Based on their evaluation, the 1D model provides more precise results in the assessed profiles (the RMSE for depths (m) was 0.0663 (for velocities (m∙s−1) 0.293) compared to the 2D model, where the RMSE for depths (m) was 0.070 (for velocities (m∙s−1) 0.398), the MAE for the 1D model for depths (m) was 0.0350 (for velocities (m∙s−1) 0.185) compared to the 2D model, where the MAE for depths (m) was 0.0375 (for velocities (m∙s−1) 0.274)). The findings highlight the differences in the problem-solving approaches between the models as well as the potential for simplifications in practical applications.
  • Publisher: Basel: MDPI AG
  • Language: English
  • Identifier: ISSN: 2073-4441
    EISSN: 2073-4441
    DOI: 10.3390/w15132478
  • Source: GFMER Free Medical Journals
    ROAD: Directory of Open Access Scholarly Resources
    ProQuest Central
    DOAJ Directory of Open Access Journals
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