Sediment and solute transport on soil slope under simultaneous influence of rainfall impact and scouring flow

Soil erosion and nutrient losses with surface runoff in the loess plateau in China cause severe soil quality degradation and water pollution. It is driven by both rainfall impact and runoff flow that usually take place simultaneously during a rainfall event. However, the interactive effect of these two processes on soil erosion has received limited attention. The objectives of this study were to better understand the mechanism of soil erosion, solute transport in runoff, and hydraulic characteristics of flow under the simultaneous influence of rainfall and shallow clear‐water flow scouring. Laboratory flume experiments with three rainfall intensities (0, 60, and 120 mm h⁻¹) and four scouring inflow rates (10, 20, 30, and 40 l min⁻¹) were conducted to evaluate their interactive effect on runoff. Results indicate that both rainfall intensity and scouring inflow rate play important roles on runoff formation, soil erosion, and solute transport in the surface runoff. A rainfall splash and water scouring interactive effect on the transport of sediment and solute in runoff were observed at the rainfall intensity of 60 mm h⁻¹ and scouring inflow rates of 20 l min⁻¹. Cumulative sediment mass loss (Ms) was found to be a linear function of cumulative runoff volume (Wr) for each treatment. Solute transport was also affected by both rainfall intensity and scouring inflow rate, and the decrease in bromide concentration in the runoff with time fitted to a power function well. Reynolds number (Re) was a key hydraulic parameter to determine erodability on loess slopes. The Darcy–Weisbach friction coefficients (f) decreased with the Reynolds numbers (Re), and the average soil and water loss rate (M_l) increased with the Reynolds numbers (Re) on loess slope for both scenarios with or without rainfall impact. Copyright © 2010 John Wiley & Sons, Ltd.     

On the coalescence of twisted flux tubes

Abstract

We study the problem of the coalescence of twisted flux tubes by assuming that the azimuthal field lines reconnect at a current sheet during the coalescence process and everywhere else the magnetic field is frozen in the fluid. We derive relations connecting the topology of the coalesced flux tube with the topologies of the initial flux tubes, and then obtain a structure equation for calculating the field configuration of the coalesced flux tube from the given topology. Some solutions for the two extreme cases of low-β plasma and high-β plasma are discussed. The coalesced flux tube has less twist than the initial flux tube. Magnetic helicity is found to be exactly conserved during the coalescence, but the assumptions in the model put a constraint on the energy dissipation so that we do not get a relaxation to the minimum-energy Taylor state in the low-β case. It is pointed out that the structure equation connecting the topology and the equilibrium configuration is quite general and can be of use in many two-dimensional flux tube problems.     

SWAT application to estimate design runoff curve number for South Korean conditions

Runoff estimations based on the standard USDA–NRCS curve number (CN) table without calibration have a tendency to give inaccurate results when the CN values are applied in South Korea which has many high slope watersheds and that has a continental monsoon climate. Particularly for the design flood estimation, accurately calibrated CN values are required because the estimated peak flow is very sensitive to the selection of CN. However, the lack of flood data makes it difficult to calibrate and assign runoff CNs to Korean watersheds. Even if sufficient data are available to estimate CN values, it is also difficult to obtain the direct flows by separating base flows from total runoff hydrographs due to the temporal irregularity of rainfall events and the resulting complex pattern of runoff. Therefore, an alternative method for estimating CNs needs to be developed to overcome these issues. The purpose of this study is to present a method for estimating runoff CNs using the soil and water assessment tool (SWAT) model which can take into account watershed heterogeneities such as climate conditions, land use and soil types. The proposed CN estimation method uses the simulated flow data by SWAT instead of using measured flow data. This method has advantages in estimating CN values spatially for each subbasin division considering watershed characteristics. The use of daily data can reduce the sensitivity to the abnormality that is commonly involved in flow data with a small time scale. The SWAT‐based CN estimation method, combined with the asymptotic CN method, was applied to the Chungju dam watershed in South Korea. A regression equation was then developed from this approach, which was used to estimate CN values that decrease exponentially as rainfall amounts increase and that converge to 60·6 and 79·4 without and with considering subsurface lateral flow, respectively. Furthermore, the CN values for the antecedent moisture conditions were determined using the probabilistic approach. The CN associated with the 50% probability for the Chungju dam watershed is 87·8 which can be taken to be representative of antecedent moisture condition (AMC) II. The CN_I and CN_III associated with 90% and 10% probabilities are 78·9 and 94·1, respectively. The estimated CN_II = 87·8 differs markedly from the geographic information system (GIS)‐based CN 65·0, which implies that the standard USDA–NRCS CN method should be calibrated to the studied area of interest. Copyright © 2010 John Wiley & Sons, Ltd.     

High-Resolution Mesoscale Analysis Data from the South China Heavy Rainfall Experiment (SCHeREX): Data Generation and Quality Evaluation

In this study,the observational data acquired in the South China Heavy Rainfall Experiment (SCHeREX)from May to July 2008 and 2009 were integrated and assimilated with the US National Oceanic and Atmospheric Administration's (NOAA) Local Analysis and Prediction System (LAPS; information available online at http://laps.fsl.noaa.gov).A high-resolution mesoscale analysis dataset was then generated at a spatial resolution of 5 km and a temporal resolution of 3 h in four observational areas:South China,Central China,Jianghuai area,and Yangtze River Delta area.The quality of this dataset was evaluated as follows.First,the dataset was qualitatively compared with radar reflectivity and TBB image for specific heavy rainfall events so as to examine its capability in reproduction of mesoscale systems.The results show that the SCHeREX analysis dataset has a strong capability in capturing severe mesoscale convective systems.Second,the mean deviation and root mean square error of the SCHeREX mesoscale analysis fields were analyzed and compared with radiosonde data.The results reveal that the errors of geopotential height,temperature,relative humidity,and wind of the SCHeREX analysis were within the acceptable range of observation errors.In particular,the average error was 45 m for geopotential height between 700 and 925 hPa,1.0-1.1℃ for temperature,less than 20％ for relative humidity,1.5-2.0 m s-1 for wind speed,and 20°-25° for wind direction.The above results clearly indicate that the SCHeREX mesoscale analysis dataset is of high quality and sufficient reliability,and it is applicable to refined mesoscale weather studies.     

High-Resolution Mesoscale Analysis Data from the South China Heavy Rainfall Experiment (SCHeREX): Data Generation and Quality Evaluation

In this study, the observational data acquired in the South China Heavy Rainfall Experiment (SCHeREX) from May to July 2008 and 2009 were integrated and assimilated with the US National Oceanic and Atmospheric Administration’s (NOAA) Local Analysis and Prediction System (LAPS; information available online at http://laps.fsl.noaa.gov). A high-resolution mesoscale analysis dataset was then generated at a spatial resolution of 5 km and a temporal resolution of 3 h in four observational areas: South China, Cent...     

渐缩渐扩洞塞消能和空化特性

建立了三维RNG k-ε紊流数学模型和突缩突扩洞塞泄流的物理模型试验,利用实验结果对数学模型进行了验证,利用验证后的数学模型对突缩突扩洞塞和渐缩渐扩洞塞的水头损失系数和空化数进行了计算。结果表明,洞塞渐缩(或渐扩)段相对长度一定时,随着渐扩(或渐缩)段相对长度的增加,水头损失系数减小,最小空化数增加。当渐缩段和渐扩段几何尺寸互换时,水头损失系数和最小空化数的变化不大;其他几何参数一定的情况下,随着横断面半径收缩比的减小,水头损失系数增加,最小空化数降低。圆弧连接情况下,随着圆弧夹角的增加,水头损失系数呈现先降低后增加的趋势;而最小空化数呈现先增加后降低的趋势。其他几何参数一定的情况下,圆弧连接的水头损失系数小于斜线连接的对应值,最小空化数则相反。在水头损失系数和最小空化数权重相等的假定条件下,初步探讨了渐缩渐扩洞塞几何体型参数的优化方法,给出了渐缩渐扩洞塞的最优几何体型参数。     

紊流对粘性细颗粒泥沙絮凝影响

以分形聚集生长模型为基础,通过三维模拟泥沙颗粒在布朗运动、重力沉降和紊流作用下的碰撞、粘结和破碎过程,探讨了紊流对粘性细颗粒泥沙絮凝速度、絮团平均粒径及分形维数的时空影响。试验结果表明:紊流作用下,泥沙絮凝及絮团平均粒径的变化可分为加速段、等速段和减速段,絮凝等速段的作用时间及粒径等速增长段的速度均随紊动强度呈先增后减的规律,且中部区域的絮凝速度和絮团平均粒径较小;泥沙絮团分形维数随水流紊动强度的增加逐渐增大,最终趋于稳定,随时间呈先减后增的规律。模拟空间下部区域分形维数最大,上部次之,中部最小。     

水库浑水异重流潜入点判别条件

泥沙淤积是影响多沙河流水库寿命的一大难题,而异重流排沙是减少库区淤积的重要措施之一。异重流的潜入现象是异重流开始形成的直观标志,研究异重流潜入条件的判别方法有助于掌握异重流在库区内的演进规律。总结了水库异重流潜入条件的定性描述及定量计算方法,指出已有的潜入点判别公式的优缺点及适用范围,改进了描述异重流运动的动量方程,同时分析了异重流流速与含沙量沿垂线不均匀分布对动量传递的影响;在此基础上提出新的异重流潜入条件判别式,并用多组室内及野外实测资料对该判别条件进行率定与验证。分析结果表明,新的计算公式可用于判别小浪底库区异重流的潜入条件。     

长白山上新世以来玄武岩成分演变规律及其成因

火山岩成分的多样性是岩浆物理和化学过程在其产生、运移、存储和喷发过程中的综合反映。长白山火山区自上新世以来喷发了大量的玄武质火山岩,其成分变化范围较大(Mg O 3.2%~7.8%)。以往研究认为其成分的变化主要受地幔不均一、部分熔融程度和分离结晶的影响,没有明显地壳混染。本研究发现这些玄武岩经历了不同程度的上、下地壳的混染。同时,结合火山岩的年龄发现玄武岩地球化学成分和同位素比值随时间呈现脉动式的变化。根据87Sr/86Sr和Mg O的突变点可以分为3段:5~2Ma,2~1Ma,1~0Ma。通过定性和定量的模拟发现地幔不均一性和部分熔融程度差异造成玄武岩成分的变化有限,而分离结晶、地壳混染和岩浆补给的岩浆作用是形成玄武岩成分随时间脉动变化的主要原因。并结合能量约束-补给-混染-分离结晶算法(ECRAFC)模拟得出以下结论:天池和望天鹅喷发中心的玄武质岩浆最初都存储于同一下地壳岩浆房,可能由于上地壳构造差异导致岩浆迁移路径和存储区不同;长白山岩浆房迁移有从5~2Ma阶段由下地壳向上地壳逐渐变浅,2~1Ma阶段由上地壳向下地壳快速变深的规律,而1~0Ma阶段的玄武岩由岩浆从下地壳直接快速喷出地表形成;长白山玄武质岩浆的活动与本区的构造断裂活动密切的关系,5Ma以来,火山岩成分随时间的周期性波动可能与本区构造应力的周期性的强拉张-弱拉张过程有关。     

区域尺度近地表气候要素驱动数据研制的研究综述

区域和流域尺度的陆面、水文和生态模拟与同化,都需要高分辨率的大气近地表层风、温、压、湿、辐射、降水等资料作为驱动。介绍了流域尺度驱动数据的重要性,对现阶段大气驱动数据的制备方法进行评论,总结了降水、辐射、气温和其他近地表要素的若干产品,探讨了北美陆面数据同化系统、全球陆面数据同化系统、欧洲陆面数据同化系统和中国西部陆面数据同化系统中大气驱动数据的研究思路和研究成果,最后提出了现阶段制备流域尺度驱动数据存在的问题,并针对中国西部复杂地形的高时空分辨率驱动数据制备提出一些看法。