{"title":"Flow Resistance Coefficient Under Rigid Vegetation Coverage: An Experimental Study","authors":"Zekang Cai, Jian Wang, Jiabo Xie, Chenfeng Wang","doi":"10.1002/eco.2737","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Rigid vegetation is prevalent in the Loess Plateau region. Most simulation studies assume that vegetation grows perpendicularly to the slope surface (BS), overlooking the influence of growth perpendicular to the horizontal plane (BH) on the slope flow resistance coefficient. Therefore, this study explores the effects of rigid vegetation on the slope flow resistance coefficient by conducting indoor simulated scouring experiments under different vegetation coverage (0–15.89%), two growth directions (BS and BH), four slopes (5°, 10°, 15° and 20°), and five flow rates (5, 10, 20, 30 and 40 L·min<sup>−1</sup>). The results showed that the resistance coefficient increased non-linearly with vegetation coverage; however, the growth rate slowed with increasing slope at high coverage, showing a decreasing trend. The resistance coefficient under BS conditions was generally higher than that under BH conditions. As the coverage increased (0–15.89%), the resistance coefficient under BS conditions became 1.51–1.99, 1.1–1.26 and 1.52–1.59 times that under BH conditions. The resistance coefficient ratio <span></span><math>\n <semantics>\n <mrow>\n <mi>ϕ</mi>\n </mrow>\n <annotation>$$ \\phi $$</annotation>\n </semantics></math> negatively correlated with the flow rate and water depth and positively with the slope. Furthermore, the relationship between the Reynolds number (<i>Re</i>) and resistance coefficient under BS and BH conditions significantly differed, with a negative correlation under BS conditions and a positive one under BH conditions. The Froude number (<i>Fr</i>) exhibited a strong negative correlation with the resistance coefficient, and the impact became more significant as vegetation coverage increased. Through dimensional analysis and nonlinear fitting, a high-precision resistance coefficient prediction model (<i>adjR</i><sup><i>2</i></sup> = 0.98, <i>NSE</i> = 0.99, <i>RRMSE</i> = 0.04) was developed, which provided theoretical support for engineering designs and enhancing soil and water conservation strategies on the Loess Plateau.</p>\n </div>","PeriodicalId":55169,"journal":{"name":"Ecohydrology","volume":"18 2","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecohydrology","FirstCategoryId":"93","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/eco.2737","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Rigid vegetation is prevalent in the Loess Plateau region. Most simulation studies assume that vegetation grows perpendicularly to the slope surface (BS), overlooking the influence of growth perpendicular to the horizontal plane (BH) on the slope flow resistance coefficient. Therefore, this study explores the effects of rigid vegetation on the slope flow resistance coefficient by conducting indoor simulated scouring experiments under different vegetation coverage (0–15.89%), two growth directions (BS and BH), four slopes (5°, 10°, 15° and 20°), and five flow rates (5, 10, 20, 30 and 40 L·min−1). The results showed that the resistance coefficient increased non-linearly with vegetation coverage; however, the growth rate slowed with increasing slope at high coverage, showing a decreasing trend. The resistance coefficient under BS conditions was generally higher than that under BH conditions. As the coverage increased (0–15.89%), the resistance coefficient under BS conditions became 1.51–1.99, 1.1–1.26 and 1.52–1.59 times that under BH conditions. The resistance coefficient ratio negatively correlated with the flow rate and water depth and positively with the slope. Furthermore, the relationship between the Reynolds number (Re) and resistance coefficient under BS and BH conditions significantly differed, with a negative correlation under BS conditions and a positive one under BH conditions. The Froude number (Fr) exhibited a strong negative correlation with the resistance coefficient, and the impact became more significant as vegetation coverage increased. Through dimensional analysis and nonlinear fitting, a high-precision resistance coefficient prediction model (adjR2 = 0.98, NSE = 0.99, RRMSE = 0.04) was developed, which provided theoretical support for engineering designs and enhancing soil and water conservation strategies on the Loess Plateau.
期刊介绍:
Ecohydrology is an international journal publishing original scientific and review papers that aim to improve understanding of processes at the interface between ecology and hydrology and associated applications related to environmental management.
Ecohydrology seeks to increase interdisciplinary insights by placing particular emphasis on interactions and associated feedbacks in both space and time between ecological systems and the hydrological cycle. Research contributions are solicited from disciplines focusing on the physical, ecological, biological, biogeochemical, geomorphological, drainage basin, mathematical and methodological aspects of ecohydrology. Research in both terrestrial and aquatic systems is of interest provided it explicitly links ecological systems and the hydrologic cycle; research such as aquatic ecological, channel engineering, or ecological or hydrological modelling is less appropriate for the journal unless it specifically addresses the criteria above. Manuscripts describing individual case studies are of interest in cases where broader insights are discussed beyond site- and species-specific results.