Effect of varying wheatgrass density on resistance to overland flow

Shang, Haixin; Zhang, Kuandi; Wang, Zhengzhong; Yang, Jie; He, Mengyang; Pan, Xuncheng; Fang, Chenyu

doi:10.1016/j.jhydrol.2020.125594

Cited by 26 publications

(11 citation statements)

References 41 publications

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“…The increase in S was just the opposite and it was consistent with the findings of Wang, Lv, et al (2019). Under the configuration where the slope was covered by vegetation, the resistance coefficient increased with the intensification of vegetation coverage (Figures 6 and 7), and Shang et al (2020) also found similar results.…”

Section: Testing the Linear Superposition Approachsupporting

confidence: 85%

“…According to the report produced by Cao et al (2015), the slope of the hydraulically eroded area of the Loess Plateau is mostly below 26.8%, so four slope levels of 3.49%, 6.97%, 13.91%, and 20.97% were set within the experimental facility to represents gentle, mild, and steep slopes, respectively. The torrential rain recorded during the last decade on the Loess Plateau varied between 30 and 120 mm h −1 (Shang et al, 2020), therefore it was chosen to select 60 min as a rainfall duration and a catchment area of 10 m 2 . The unit discharges of this experimental campaign were set as follows: 0.28, 0.56, 1.11, 1.67, and 2.22 L m −1 s −1 .…”

Section: Methodsmentioning

confidence: 99%

“…Soil erosion is one of the most serious global eco‐environmental threats, and one of the main areas severely affected by this phenomenon is the Loess Plateau in China (Shang et al, 2020; Wang & Zhang, 2017; Zhang, Zhang, et al, 2019). From 1955 to 1989, the average area of soil loss exceeded 50 t ha −1 yr −1 , accounting for 42% of the total area of the Loess Plateau (Wang & Jiao, 2002).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Experimental study on the effect of simulated grass and stem coverage on resistance coefficient of overland flow

Cen

Zhang

Peng

et al. 2022

Hydrological Processes

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Vegetation plays a significant role in preventing desertification, conservation of soil and water. However, nowadays, there is still uncertainty regarding the mechanisms of flow resistance caused by dissimilar vegetation covers. To address this gap, a series of these was conducted in this study to investigate the influence of synthetic grass and stems on the variation of resistance on overland flows. Thirty vegetation configurations were selected (combining five synthetic grass coverage options and six synthetic stem coverage ones), and tested against five unit discharges (flow range = 0.28–2.22 L m−1 s−1) and four slope gradients (3.49%–20.78%). The results obtained showed that the unit discharge is the key driving factor for the transition from laminar to transitional flow. Furthermore, the relationship between the resistance coefficient (f) and the Reynolds number (Re) was not monotonically increasing or decreasing, but behaviours observed were specifically linked to each vegetation coverage. However, a critical coverage threshold was identified, and it corresponded to 2.72% when the slope gradient tested was 3.49%. This threshold decreased with the increase of the slope gradient. In addition, when the vegetation coverage was less than the critical threshold, the f was negatively correlated with Re, otherwise if the vegetation coverage was higher than the critical threshold identified the f–Re relation was positively correlated. The total flow resistance under synthetic grass and stem cover was unequal to the linear superposition of grain resistance and form resistance caused by synthetic stem and grass, which meant that the linear superposition approach is not applicable to overland flows. Finally, a model was developed to predict the flow resistance by applying the π‐theorem and the multiple nonlinear regression analysis and it has been validated against the experimental results confirming its accuracy and high performance (adj.R2 = 0.99, NSE = 0.94).

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Section: Testing the Linear Superposition Approachsupporting

confidence: 85%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Experimental study on the effect of simulated grass and stem coverage on resistance coefficient of overland flow

Cen

Zhang

Peng

et al. 2022

Hydrological Processes

Self Cite

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“…Besides interception, green spaces also provide runoff regulation through infiltration, which is influenced by numerous factors including rainfall intensity, green space types, soil characteristics, and green space coverage [19,[88][89][90]. In addition, green spaces contribute to runoff coefficients by increasing flow resistance, which can be associated with its density [91]. Furthermore, bodies of water like rivers, lakes, and wetlands also have the potential to control surface runoff through storage functions [83].…”

Section: Runoff Regulationmentioning

confidence: 99%

A Preliminary Study on the Impact of Landscape Pattern Changes Due to Urbanization: Case Study of Jakarta, Indonesia

Maheng

Pathirana

Zevenbergen

2021

Land

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Urbanization is changing land use–land cover (LULC) transforming green spaces (GS) and bodies of water into built-up areas. LULC change is affecting ecosystem services (ES) in urban areas, such as by decreasing of the water retention capacity, the urban temperature regulation capacity and the carbon sequestration. The relation between LULC change and ES is still poorly examined and quantified using actual field data. In most ES studies, GS is perceived as lumped areas instead of distributed areas, implicitly ignoring landscape patterns (LP), such as connectivity and aggregation. This preliminary study is one of the first to provide quantitative evidence of the influence of landscape pattern changes on a selection of urban ecosystem services in a megacity as Jakarta, Indonesia. The impact of urbanization on the spatiotemporal changes of ES has been identified by considering connectivity and aggregation of GS. It reveals that LP changes have significantly decreased carbon sequestration, temperature regulation, and runoff regulation by 10.4, 12.4, and 11.5%, respectively. This indicates that the impact of GS on ES is not only determined by its area, but also by its LP. Further detailed studies will be needed to validate these results.

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“…In addition, the Froude number (Fr) decreases and Manning's roughness coefficient (n) increases with an increase in vegetative cover (Pan and Shangguan 2006;Umesh 2009;Salman et al 2012;Zhao et al 2016). Shang et al (2020) selected grassy patches with a vegetation density between 0.58 and 5.76% to investigate the influence of vegetation coverage in laminar flow and transition flow zones on the characteristics of overland flow. Their study demonstrated that an increase in vegetation density results in the continuous enhancement of the flow turbulence.…”

Section: Introductionmentioning

confidence: 99%

Effects of sparse rigid stem vegetation coverage on hydrodynamic characteristics of overland flow in a gentle slope area

Zhang

Chen

et al. 2021

Arab J Geosci

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Vegetation plays a vital role in natural ecosystems, especially in soil and water conservation. The accurate estimation of hydraulic parameters of overland flow is an important means to understand the hydraulic characteristics of overland flow and soil erosion. However, there is limited research on sparse stem vegetation coverage under gentle slope conditions. This study aims to understand the inherent laws that control overland flow structure under sparse vegetation cover. To achieve this, hydraulic characteristics of surface runoff on slopes covered by stem vegetation were quantified for seven flow discharges (Q) (0.0313-0.5203 m 3 /min), four slopes (S) (0.0-3.0%), and six stem coverage degrees (Cr) (0.07-0.72%) through a laboratory flume. The results showed that the same impact factor has different degrees of influence on different hydraulic parameters of overland flow resulting in varied hydrodynamic characteristics. In this study, for the vegetation coverage of sparse stems, under the condition of the flat slope, Cr is the dominant factor affecting Froude number and Manning roughness coefficient, whereas Q is the dominant factor affecting flow velocity and Reynolds number. However, under the condition of the non-flat slope, Cr is the dominant factor affecting Manning roughness coefficient, Q is the dominant factor affecting Reynolds number, and S is the dominant factor affecting the velocity and Froude number.

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Effect of varying wheatgrass density on resistance to overland flow

Cited by 26 publications

References 41 publications

Experimental study on the effect of simulated grass and stem coverage on resistance coefficient of overland flow

Experimental study on the effect of simulated grass and stem coverage on resistance coefficient of overland flow

A Preliminary Study on the Impact of Landscape Pattern Changes Due to Urbanization: Case Study of Jakarta, Indonesia

Effects of sparse rigid stem vegetation coverage on hydrodynamic characteristics of overland flow in a gentle slope area

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