Impacts of native vegetation on the hydraulic properties of the concentrated flows in bank gullies

来源 :山地科学学报(英文版) | 被引量 : 0次 | 上传用户:li452546674
下载到本地 , 更方便阅读
声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架
论文部分内容阅读
To quantify the impacts of native vegetation on the spatial and temporal variations in hydraulic properties of bank gully concentrated flows,a series of in situ flume experiments in the bank gully were performed at the Yuanmou Gully Erosion and Collapse Experimental Station in the dry-hot valley region of the Jinsha River,Southwest China.This experiment involved upstream catchment areas with one-and two-year native grass (Heteropogon contortus) and bare land drained to bare gully headcuts,i.e.,Gullies 1,2 and 3.In Gully 4,Heteropogon contortus and Agave sisalana were planted in the upstream catchment area and gully bed,respectively.Among these experiments,the sediment concentration in runoff in Gully 3 was the highest and that in Gully 2 was the lowest,clearly indicating that the sediment concentration in runoff obviously decreased and the deposition of sediment obviously increased as the vegetation cover increased.The concentrated flows were turbulent in response to the flow discharge.The concentrated flows in the gully zones with native grass and bare land were sub-and supercritical,respectively.The flow rate and shear stress in Gully 3 upstream catchment area were highest among the four upstream catchment areas,while the flow rate and shear stress in the gully bed of Gully 4 were lowest among the four gully beds,indicating that native grass notably decreased the bank gully flow rate and shear stress.The Darcy-Weisbach friction factor (resistance f) and flow energy consumption in the gully bed of Gully 4 were notably higher than those in the other three gully beds,clearly indicating that native grass increased the bank gully surface resistance and flow energy consumption.The Reynolds number (Re),flow rate,shear stress,resistance f,and flow energy consumption in the gully beds and upstream areas increased over time,while the sediment concentration in runoff and Froude number (Fr) decreased.Overall,increasing vegetation cover in upstream catchment areas and downstream gully beds of the bank gully is essential for gully erosion mitigation.
其他文献
核废料储存、地热开发等岩体施工过程中经常遇到液-力耦合(H-M)问题,给安全施工带来了巨大挑战。开展液-力耦合相关模拟问题的研究对岩体工程领域发展具有一定的现实指导意义与参考价值。FRACOD软件中的H-M耦合采用位移不连续法计算裂隙的变形和张度、用立方定律等方法依次对相邻裂隙单元之间流量、水压进行计算,再通过力学部分及液体流动部分的动态时步迭代循环,进而获得最终岩体破裂状态。为进一步验证FRACOD中液-力耦合模块的模拟效果,以地热开发中水力压裂及节理岩体中裂纹传播过程为例进行分析。模拟结果表明,在高应
Soil conservation by vegetation can mitigate soil erosion hazard and prevent reductions in food productivity.However,previous research applies little considerat
Tributaries are one of the most important factors contributing to variability in the downstream evolution of bed sediment grain size.The primary aim of this wor
传统非线性正则化数值迭代法能够解决病态测距定位方程,但该方法常假设3个方向具有相同的病态程度,将正则化约束作用于所有的方向,加剧了问题的复杂性并影响解的收敛效率。因此,针对已知点和未知点近似共面引起的病态问题,提出一种改进的非线性正则化数值迭代法。该方法将正则化约束仅作用于病态方向即Z方向,对态性良好的方向不进行约束,解决了测距定位方程的病态问题,也提高了传统非线性正则化数值迭代方法的收敛效率。该计算方法采用协方差迹最小准则来确定正则化参数。实验表明:该方法能够提高非线性最小二乘线性化方法的求解精度,收敛
结构化数据和非结构化文本被视为两种不同的模态。数据到文本生成是自然语言生成领域中一个重要的跨模态任务,该任务的目标是对于给定的结构化数据,生成一段文本用以描述结构化数据中包含的关键信息。近年的研究工作通常关注于描述性文本的生成,虽然取得了一定的研究进展,但仅能做到信息的传递而不能带来任何增益。为解决这一问题,本研究数据到分析性文本的生成,并针对该任务提出一个基于主题感知的跨模态序列到序列模型。该模型在编码器-解码器结构的基础上,引入数据表的主题信息以保证生成文本与数据表之间的主题一致性,提高生成文本的质量
为了研究汽车操纵稳定性的影响机理,基于MATLAB/Simulink软件,建立了横摆角速度和质心侧偏角的频率响应模型,对模型进行稳定性、动态响应和准确性分析。基于横摆角速度和质心侧偏角的频率响应函数,对操纵稳定性的影响因素进行仿真分析。仿真结果表明:随着纵向车速和载荷的减小,操纵稳定性有所提高;在低频段较高的前轮侧偏刚度和较低的后轮侧偏刚度,在中高频段较低的前轮侧偏刚度和较高的后轮侧偏刚度,有利于改善汽车的操纵稳定性。探究各种因素对操纵稳定性的影响,为汽车的开发和设计提供参考。
在水下盾构掘进过程中出现带压开舱检修情况时,如何在高渗透性地层形成质量较好的泥膜从而保证开挖面稳定,是保障工程安全与进度的重要前提。以青岛地铁跨海段隧道掘进工程为依托,自主设计试验装置开展咸水泥浆配比及渗透成膜试验,并设置淡水泥浆作为对照组。采用控制变量法和析因分析法研究膨润土、羧甲基纤维素(CMC)、碳酸钠等不同制浆材料引起的泥浆相对密度和黏度变化对泥浆滤水量的影响。试验结果表明:在咸水泥浆中,随着膨润土含量的增加,泥浆相对密度变大,可以显著降低泥膜的滤水量,增加CMC含量可以提高泥浆黏度从而更易成膜,
Climate change will affect the geographic distribution and richness of species at different spatial and temporal scales.We applied Maximum entropy(MaxEnt) model
为了消除传统机器学习中分类方法的限制,提出一种基于主题模型与迁移学习的文本分类方法。将文本集合成由共同主题和特定主题所联合起来的混合模型;然后,通过这两类主题相关性推断出不同领域之间主题的映射关系;最后,融合共同主题以及映射后的特定主题形成一个新的特征空间,并在此特征空间中完成文本的分类。实验结果表明,相较于其他分类方法,本方法在国外的20newsgroups数据以及自建的中国专利数据集上能更加高效准确地预测未标记文本的类别,为文本挖掘领域相关方向的研究提供新的视角。
Forest cover change in the mountainous region is driven by a variety of anthropogenic and natural factors.The Hindu Kush-Himalayan Mountains has experienced a c