A predictive model for overland flow velocity on vegetated slopes considering various environmental factors DOI
Xiang Liu, Chengzhi Xiao, Cheng Lin

et al.

Physics of Fluids, Journal Year: 2025, Volume and Issue: 37(3)

Published: March 1, 2025

Accurately predicting the arithmetic mean velocity of overland flows on vegetated slopes is essential for developing hydraulic erosion models. However, there exists a significant challenge in this various vegetation conditions. This study proposed new predictive model based principle resistance superposition, which accounted wide range environmental factors—e.g., coverage, slope angle, and flow discharge. The was validated against comprehensive database with 4168 datasets established from published sources, showing 83.3% calculated R squared values excess 0.750. also compared existing models, demonstrating superior applicability reliability at test After validation comparison, parametric analysis conducted to assess effects factors velocity. results highlighted that decreased increasing coverage until reaching limit strong interactive these These findings provide valuable insights into how influence velocity, offering theoretical foundation control slopes.

Language: Английский

Application of spatiotemporal velocity method in concrete canals with vegetation patch DOI Open Access

Masoud Naderi,

Shabnam Vakili,

Hossein Afzalimehr

et al.

Journal of Hydrology and Hydromechanics, Journal Year: 2025, Volume and Issue: 73(1), P. 108 - 120

Published: March 1, 2025

Abstract Abstract: Understanding the interaction of flow and vegetation in open canals has a great impact on better implementation environmental projects hydraulic engineering. The purpose this research is to apply spatiotemporal (spatial temporal) averaging method concrete presence patches. Therefore, research, four reaches irrigation with patches were investigated Iran. measured data includes velocity surveying. results profiles showed that log-law fits nicely near bed local values shear compared unit value extracted from double-averaged profile. comparison percentage difference between resulting each profile not significant most cases. Thus, able reflect characteristics entire conditions

Language: Английский

Citations

0
A predictive model for overland flow velocity on vegetated slopes considering various environmental factors DOI
Xiang Liu, Chengzhi Xiao, Cheng Lin

et al.

Physics of Fluids, Journal Year: 2025, Volume and Issue: 37(3)

Published: March 1, 2025

Accurately predicting the arithmetic mean velocity of overland flows on vegetated slopes is essential for developing hydraulic erosion models. However, there exists a significant challenge in this various vegetation conditions. This study proposed new predictive model based principle resistance superposition, which accounted wide range environmental factors—e.g., coverage, slope angle, and flow discharge. The was validated against comprehensive database with 4168 datasets established from published sources, showing 83.3% calculated R squared values excess 0.750. also compared existing models, demonstrating superior applicability reliability at test After validation comparison, parametric analysis conducted to assess effects factors velocity. results highlighted that decreased increasing coverage until reaching limit strong interactive these These findings provide valuable insights into how influence velocity, offering theoretical foundation control slopes.

Language: Английский

Citations

0