Volume 27, Issue 2 (Summer 2023)                   jwss 2023, 27(2): 119-133 | Back to browse issues page


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Nasseri A. Application of Path Analysis to Identify the Factors Affecting the Roughness Coefficient in Earth Canals with Echinocola crus-galli. jwss 2023; 27 (2) :119-133
URL: http://jstnar.iut.ac.ir/article-1-4308-en.html
Agricultural and Natural Resources Research and Education Center, Tabriz , nasseri_ab@yahoo.com
Abstract:   (526 Views)
The selection of precision value for Roughness coefficient (RC) is necessary to design and utilize earth canals due to the vast distribution of Echinocola crus-galli in earth canals. Therefore, the current study was conducted to evaluate roughness coefficients in earth canals with Echinocola crus-galli at the Moghan plain (in the North-west of Iran). In the network of Moghan, 42 canal sections were selected to measure vegetation density and wet weight, water flow velocity (with a flow meter), and canal cross sections (with profilimetery devices). The hydraulic characteristics were estimated after water depth measurements. The Manning roughness coefficient (n) was applied to estimate the roughness coefficient. Path analysis was applied to identify the factors affecting the roughness coefficient. Multivariate cluster analysis using Ward's method and squared Euclidean distance was applied to cluster factors affecting the roughness coefficient in canals. The results revealed that RC averaged 0.015. The path analysis showed that the wetted perimeter, crop biomass, flow cross-sectional area, flow velocity, and hydraulic radius had the highest total effect on the roughness coefficient, respectively. The factors clustering showed that two clusters were obtained in the Euclidean distance of 11. The first cluster included flow velocity, crop biomass, flow rate, and bed slope; and the second cluster included flow cross-sectional area, wetted perimeter, and hydraulic radius. The findings could be helpful for designing and operating canals in the studied or similar regions.
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Type of Study: Research | Subject: Ggeneral
Received: 2022/10/26 | Accepted: 2023/01/17 | Published: 2023/09/1

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