三峡上游地区一次西南涡暴雨过程中尺度特征诊断和数值模拟

结合高空、地面实况观测数据以及1°×1°NCEP客观再分析资料,对2009年6月28日20时至29日20时(北京时)发生在三峡上游地区的一次区域暴雨过程进行了中尺度特征诊断,结果表明本次过程是东北低涡和副高稳定少动的大尺度环流背景形势下,由于高原低值系统在东移过程中与西南涡结合而产生的强降水天气过程。高原上不稳定能量的扰动和下传为西南涡的产生提供了必要能量条件,高低层的水汽平流和水汽辐合的交汇地带与最强降水带存在较好的一致性。另外,利用WRF中尺度数值模式对该次过程进行了数值模拟,结果显示在同化了地面和高空常规观测资料后,模式模拟效果得到明显改善,模拟降水能够大致体现该次过程的总的降水演变和分布情况,但后期模拟降水偏大。数值诊断结果发现,盆地西部与上升气流相伴的正涡度柱的演变过程与强降水的发生过程密切相关,该因子对于正确预报降水发生时间具有指示意义。     

大坝下游定点区域溶解氧饱和度预测

大坝通过坝身泄流时,巨大的洪水卷吸空气中的大量气体直泻到下游河床,造成下游河道特别是近坝区域气体含量过饱和,给下游水生生物带来不利影响,其中鱼类气泡病就是水体气体过饱和造成的典型病症。为探明大坝泄流对坝下河道溶解氧饱和度的影响,以三峡 葛洲坝区域坝下近坝区定点区域的溶解氧实测资料为基础,建立溶解氧饱和度的BP网络预测模型,对大坝不同运行工况进行下游溶解氧饱和度的预测仿真计算,并将仿真预测值与实测及数值模拟结果进行比较分析。结果得出BP网络模型能很好地逼近坝下近坝区指定区域的溶解氧饱和度,可根据大坝运行工况对下游水体溶解氧饱和度进行快速预测,为有效控制坝下水体溶解氧饱和度提供借鉴     

电除尘器进口矩形烟道气流分布改进的CFD模拟

应用CFD软件对某电厂电除尘器进口矩形烟道内气流分布进行数值模拟.结果表明:电除尘器原进口矩形烟道监测截面的气流分布极其不均匀,数值模拟结果与实验结果速度分布趋势比较吻合.基于此,通过多次改变电除尘器进口矩形烟道内导流板的数量、位置、尺寸等结构参数,使得改造后烟道监测截面风量偏差降到了±2.2%,气流分布相对均方根值均...     

小型景观湖水质模拟及应用研究

由于小型景观水体的体量和再生水补水措施的施行,其水质随环境和入水水质的变化和富营养化过程较大型水体快。由EFDC模型和WASP模型耦合建立小型浅水景观湖生态动力学模型,用实测水质数据进行参数率定与验证,可实现小型景观水体水质变化趋势的模拟,为水质管理提供决策支持。在此基础上,对民主湖在几种水质保障方案下1年的水质变化进行了模拟预测和对比,结果表明,作为富营养化程度表征的叶绿素a在空间和时间分布上均存在一定的规律性,夏季由于温度升高,叶绿素a浓度较高,说明藻类等浮游植物迅速增殖,是水质恶化水华暴发的高发期,而采取加大湖水水力循环和改善入口水质的控制方案,可使水质得到良好保障。     

壁面粗糙度对旋风分离器内流场影响的数值模拟

利用计算流体动力学软件FLUENT6.2.16对壁面粗糙度不同的旋风分离器内流场进行了数值模拟,得到了切向速度、轴向速度、径向速度和静压力分布规律。旋风分离器内的切向速度随着壁面粗糙度的增大而明显减小;轴向速度没有明显的规律性变化,只在上部筒体涡核区轴向速度增加,削弱了涡核区滞留现象;在流场大部分区域径向速度随粗糙度的...     

香溪河流域土地利用格局演变对非点源污染的影响研究

以分布式模型SWAT为研究工具,在气候、土壤等因素不变的情况下,模拟了三峡库区香溪河流域土地利用格局演变对于非点源污染的影响.研究结果表明,自20世纪80年代至2007年,研究区由土地利用所造成的非点源污染TN总体呈减少趋势,4种土地利用情景下模拟得到的年均非点源污染TN分别为1 841.60、824.86、1 790...     

A Comprehensive Python Toolkit for Accessing High‐Throughput Computing to Support Large Hydrologic Modeling Tasks

The National Flood Interoperability Experiment (NFIE) was an undertaking that initiated a transformation in national hydrologic forecasting by providing streamflow forecasts at high spatial resolution over the whole country. This type of large‐scale, high‐resolution hydrologic modeling requires flexible and scalable tools to handle the resulting computational loads. While high‐throughput computing (HTC) and cloud computing provide an ideal resource for large‐scale modeling because they are cost‐effective and highly scalable, nevertheless, using these tools requires specialized training that is not always common for hydrologists and engineers. In an effort to facilitate the use of HTC resources the National Science Foundation (NSF) funded project, CI‐WATER, has developed a set of Python tools that can automate the tasks of provisioning and configuring an HTC environment in the cloud, and creating and submitting jobs to that environment. These tools are packaged into two Python libraries: CondorPy and TethysCluster. Together these libraries provide a comprehensive toolkit for accessing HTC to support hydrologic modeling. Two use cases are described to demonstrate the use of the toolkit, including a web app that was used to support the NFIE national‐scale modeling.     

Does the Temporal Resolution of Precipitation Input Influence the Simulated Hydrological Components Employing the SWAT Model?

This study aimed to evaluate the influence of sub‐daily precipitation time steps on model performance and hydrological components by applying the Green and Ampt infiltration method using the Soil and Water Assessment Tool (SWAT). Precipitation was measured at a resolution of 0.1 mm and aggregated to 5‐, 15‐, 30‐, and 60‐min time steps. Daily discharge data over a 10‐year period were used to calibrate and validate the model. Following a global sensitivity analysis, relevant parameters were optimized through an automatic calibration procedure using SWAT‐CUP for each time step. Daily performance statistics were almost equal among all four time steps (NSE ≈ 0.47). Discharge mainly consisted of groundwater flow (55%) and tile flow (42%), in reasonable proportions for the investigated catchment. In conclusion, model outputs were almost identical, showing simulations responded nearly independently of the chosen precipitation time step. This held true for (1) the selection of sensitive parameters, (2) performance statistics, (3) the shape of the hydrographs, and (4) flow components. However, a scenario analysis revealed that the precipitation time step becomes important when saturated hydraulic conductivities are low and curve numbers are high. The study suggests that there is no need in using precipitation time steps <1 h for lowland catchments dominated by soils with a low surface runoff potential if daily flow values are being considered. Editor's note : This paper is part of the featured series on SWAT Applications for Emerging Hydrologic and Water Quality Challenges. See the February 2017 issue for the introduction and background to the series.     

VIC模型与SWAT模型在中小流域径流模拟中的对比研究

结合GIS与RS技术的分布式水文模型已成为当今水文界研究的重点。从气象与水文水资源学科交叉的角度对分布式水文模型VIC模型与SWAT模型进行研究,并将其应用于白莲河流域,以此探讨该模型在中小流域的适用性。模拟结果表明,VIC模型与SWAT模型在白莲河流域率定期与检验期的模拟效果相差很小。SWAT模型的效率系数与相关系数略高一些,SWAT模型的模拟效果比较平均,每年相差不大;但VIC模型在1995年和1999年模拟效果明显好于其它年份,尤其在2002年,VIC模型模拟的洪峰与实测的相差较大,从而影响总体的效率系数偏低,而SWAT模型模拟的更接近实测值。研究结果表明两种模型对于我国中小流域的径流模拟具有一定的适用性.     

Field Evaluation of DRAINMOD 5.1 Under a Cold Climate: Simulation of Daily Midspan Water Table Depths and Drain Outflows1

Abstract: The hydrologic performance of DRAINMOD 5.1 was assessed for the southern Quebec region considering freezing/thawing conditions. A tile drained agricultural field in the Pike River watershed was instrumented to measure tile drainage volumes. The model was calibrated using water table depth and subsurface flow data over a two‐year period, while another two‐year dataset served to validate the model. DRAINMOD 5.1 accurately simulated the timing and magnitude of subsurface drainage events. The model also simulated the pattern of water table fluctuations with a good degree of accuracy. The R² between the observed and simulated daily WTD for calibration was >0.78, and that for validation was 0.93. The corresponding coefficients of efficiency (E) were >0.74 and 0.31. The R² and E values for calibration/validation of subsurface flow were 0.73/0.48 and 0.72/0.40, respectively. DRAINMOD simulated monthly subsurface flow quite accurately (E > 0.82 and R² > 0.84). The model precisely simulated daily/monthly drain flow over the entire year, including the winter months. Thus DRAINMOD 5.1 performed well in simulating the hydrology of a cold region.