Experimental Study to Estimate Hyporheic Velocity Using Wavelet-Hybrid Soft-Computing Model

Fazeleh Kabiri (), Mohammad Reza Majdzadeh Tabatabai (), Sevda Mozaffari () and Mohammad Shayannejad ()
Additional contact information
Fazeleh Kabiri: Shahid Beheshti University
Mohammad Reza Majdzadeh Tabatabai: Shahid Beheshti University
Sevda Mozaffari: Urmia University
Mohammad Shayannejad: Isfahan University of Technology

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2024, vol. 38, issue 3, No 6, 915-933

Abstract: Abstract The hyporheic zone represents the interface between surface and subsurface flow. An experimental investigation was conducted in a laboratory flume featuring a maximum flow rate of 50 L per second, utilizing artificial grass completely submerged in water. Two sets of experiments were carried out, one with vegetation cover and the other without. The findings revealed that vegetation cover led to a reduction in hyporheic velocity, whereas the absence of vegetation increased hyporheic velocity. The study also noted that the absence of a hyporheic zone in vegetation, compared to gravel, could be attributed to the formation of a separation zone. Additionally, it was observed that vegetation cover facilitated the supply of more nutrients around the divide line, owing to upwelling flows from both upstream and downstream directions. Given the limited dataset, Soft Computing (SC) techniques, namely Wavelet-GEP (WGEP) and Gene Expression Programming (GEP), were employed to formulate mathematical equations for estimating hyporheic velocity under steady-state conditions for a given discharge. These equations, incorporating hydraulic and geomorphic variables, proved effective in estimating hyporheic velocity under stable bed conditions during steady flow. The models were trained and tested using 70% and 30% of the collected data, respectively. The performance of the models was assessed using statistical criteria. The results indicated a strong correlation between noise reduction in data and improved performance of the WGEP model compared to the GEP model in estimating velocity.

Keywords: Hyporheic velocity; Vegetation cover; Gene expression programming; Wavelet analysis (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11269-023-03701-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:waterr:v:38:y:2024:i:3:d:10.1007_s11269-023-03701-y

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11269

DOI: 10.1007/s11269-023-03701-y

Access Statistics for this article

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA) is currently edited by G. Tsakiris

More articles in Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA) from Springer, European Water Resources Association (EWRA)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().