干旱区融雪径流模拟的研究进展与展望

融雪径流模拟是干旱区水文水资源研究的热点问题,对干旱区春季融雪洪水风险评估和流域水资源管理至关重要。结合文献查询及资料分析,重点讨论了不同类型融雪径流模型的特征和发展情况,比较了不同融雪径流模型在干旱区一些典型河流的应用情况,并对其功能及优缺点进行了评估。结合对目前流域融雪径流模拟研究中存在的问题的分析,提出未来融雪径流模拟要注重提高数据分辨率的观点。借助多源遥感数据驱动获取更为精确的输入数据,在数据获取难度减小、精度提高的基础上山区融雪径流模拟将更多地以基于能量平衡的物理性模拟为主。模型的构建要充分考虑由气候变暖所带来的其它参数的变化,精确描述山区融雪过程,以提高对融雪径流的模拟精度。     

Hydrological modeling of storm runoff and snowmelt in Taunton River Basin by applications of HEC-HMS and PRMS models

Reliable predictions of storm runoff from rainfall and snowmelt are important for flood hazard mitigation and resilience. In this study, the HEC-HMS and PRMS hydrological models have been applied to simulate storm runoff in Taunton River Basin for the storm event in 2010 when maximum rainfall intensity reached approximate 5 in/day in March, and the snowfall reached about 11 inches in December. Model parameters were calibrated, and model performance was evaluated by comparing model-simulated daily stream flow with observations. For the rainstorm period during March–April, results indicate that both HEC-HMS and PRMS provide very good predictions of rainfall runoff with the correlation values above 0.95, and PRMS produces lower root-mean-square errors than those from HEC-HMS. Over the 12-month period including the snowfall in December, the time series of flow by PRMS match better with observations than those from the HEC-HMS. The 12-month overall correlation values for HEC-HMS and PRMS are 0.91 and 0.97 at Bridgewater Station, and 0.89 and 0.97 at Threemile Station, respectively. For an extreme storm scenario of the maximum historical 36.7-inch snowfall in early February in combination with the rainstorm in March–April of 2010, model simulations indicate that the flow would substantially increase by about 50% or more. Comparisons between HEC-HMS and RPMS models have been analyzed to provide references for storm runoff modeling.     

The simulation of snowmelt runoff in the ungauged Kaidu River Basin of TianShan Mountains,China

Snowmelt runoff is an important source of water resources in the arid mountain area. Modelling snowmelt runoff for cold regions remains a problematic aspect because of the lack of data by gauges in large basins. In order to overcome the shortage of measured data in the snowmelt runoff modelling, the temperature interpolation method would greatly help in improving the simulation accuracy and describing the snow-hydrological behaviours of the study catchments. In this study, the temperature is the principal variable used to estimate the importance of the melting of snow cover using the snowmelt runoff model. Five different temperature interpolation attempts were performed over the Kaidu River Basin for the snowmelt season of the year 2000. Three temperature inputs were taken directly from the individual weather stations in or near the study area, and the other two temperature inputs were interpolated from the three weather stations. The results indicated that the temperature estimated from different methods could result in quite a difference in runoffs in comparison with the observed ones. The simulation results using average temperature from the three stations showed good results; the simulation run with the weighted average temperature generated a lower R ² than the average temperature of three stations and using temperature directly adopted from three individual stations gave various results. The weather stations used to perform the snowmelt runoff simulation should be located in the place which is most representative of the mountain weather conditions, and the land cover and topography that those stations represented also play an important role in the snowmelt runoff simulation.     

河西内陆河地区径流模型概述

径流模拟是河西内陆河地区水文研究中最基本、最重要的一个环节,也是研究其它水文问题的基础.目前广泛应用在河西地区的径流模拟模型大致分为系统理论模型、概念模型和分布式模型三类.但是这些模型各自有哪些特点,应用中应注意哪些问题,却缺少宏观的认识.总结了这三类模型在河西内流河区应用的代表性研究成果,并结合当前所应用模型存在的问题,探讨了研究区未来水文模型可能的发展方向.     

Validation of soil moisture simulation with a distributed hydrologic model (WetSpa)

The objective of this paper is to test the ability of a spatially distributed hydrologic model (WetSpa) to simulate soil moisture. The test is conducted in the Baron Fork river basin (Oklahoma, USA), where soil moisture has been recorded on a daily basis at the WEST site soil moisture monitoring station of the Oklahoma Mesonet. The model is calibrated by comparing hourly simulated and observed river flows at Eldon gaging station from October 1, 1995 to December 31, 1996. The model performance to predict hourly river flows is verified by comparing model estimates and observations from January 1, 1997 to December 31, 2000. Next, the model predictions of soil moisture are compared with observations of WEST site soil moisture monitoring station for the same validation period. The observations are well reproduced by the model with errors that are within range of the observation accuracy, although the predictions show somewhat more abrupt temporal fluctuations as the whole root zone is considered to react instantaneously to precipitation events. The good performance compared to other studies is especially attributed to the quality of the rainfall data provided by weather radars. It is concluded that the performance of the model to predict soils moisture is promising, although spatial patterns still have to be verified.     

使用积雪遥感面积数据改善山区春季融雪径流模拟精度

随着寒区水文模拟研究的深入,春季融雪径流模拟误差大这一问题越来越明显.针对此问题,以八宝河流域为研究区,利用积雪衰减曲线将MODIS积雪面积比例产品转化为雪水当量,并用其更新分布式水文模型GBHM(Geomorphology-Based Hydrological Model)中模拟的雪水当量,达到提高春季融雪径流模拟精度的目的.利用GBHM模型对八宝河流域2005-2007年进行了模型预热,参数率定,同时选择2008年进行模型检验.结果表明:GBHM模型在八宝河流域有较好的径流模拟精度,年均纳什效率系数(NSE)达到0.64.但模型对春季融雪过程的模拟效果较差,通过引入积雪遥感数据,这一问题得到很大改善.加入积雪遥感数据后,2008年3-6月径流模拟精度NSE和相对偏差Bias分别由-1.0、-0.45改进为0.58、0.06,单点雪水当量模拟精度获得提高,流域水量平衡也更加合理.     

基于核磁共振的地表积雪融化入渗试验模拟

自然条件下岩体的冻融损伤程度往往决定于岩体的含水状态。但以往研究更多的关注岩体冻融的温度条件,而对其湿度条件尤其是自然条件下的吸水过程则鲜有研究。通过自主设计的室内积雪融化入渗实验,模拟自然条件下地表积雪融化下渗的过程。通过核磁共振（NMR）分层含水率测试,对积雪入渗前后试样内部的含水状态进行了实测。实验结果表明：（1）积雪融化速度及融化后入渗速度受到样品孔隙结构的显著影响,开放的宏观节理是融雪融化入渗的理想通道,孔隙率越大积雪融化入渗速率越快,在孔隙率相近的情况下,孔隙的连通性越好积雪融化入渗速率越快;（2）融雪入渗过程中样品内部水分分布不均匀,融雪入渗后样品不同位置的饱和度差异明显;（3）融雪入渗后部分样品的饱和度并没有达到冻融损伤的门槛值。考虑到自然条件下积雪融化入渗条件更为苛刻,岩体的含水状态会成为制约冻融损伤过程的关键因素。     

Comparison of 2D debris-flow simulation models with field events

Three two-dimensional (2D) debris-flow simulation models are applied to two large well-documented debris-flow events which caused major deposition of solid material on the fan. The models are based on a Voellmy fluid rheology reflecting turbulent-like and basal frictional stresses, a quadratic rheologic formulation including Bingham, collisional and turbulent stresses, and a Herschel–Bulkley rheology representing a viscoplastic fluid. The rheologic or friction parameters of the models are either assumed a priori or adjusted to best match field observations. All three models are capable of reasonably reproducing the depositional pattern on the alluvial fan after the models have been calibrated using historical data from the torrent. Accurate representation of the channel and fan topography is especially important to achieve a good replication of the observed deposition pattern.     

Study of surface runoff using physical models

. The profiles of overland water flow as a function of space and time obtained by applying kinematic wave approximations combined with the Darcy-Weisbach resistance formula to laminar flow are presented. Rainfall-excess is assumed to remain constant during a certain period of time. Runoff from surfaces of constant slope, with uniform surface texture, and the effects of different parameters on overland flow have been studied. Comparisons of runoff using Darcy-Weisbach, Manning, and Chezy resistance formulas have been made. It was found that the lower the rainfall-excess rates, the longer the surface runoff starting time, peak time, and smaller the peak runoff value at any distance. It was also found that the overland flow increases rapidly to the peak value, followed by a rapid decline which begins at the moment the rainfall-excess ceases, and then approaches zero slowly. Comparison of the theoretical calculations of runoff with the measured data of the Los Angeles field tests on concrete-paved surface shows good agreement.     

基于全耦合的地表径流与土壤水分运动数值模拟

针对降雨径流从坡面流下的过程中会发生下渗,导致土壤水非饱和带含水率增大这一动力学过程,从物理机制上对土壤水和地表水进行耦合,将二维平面地表水模型叠置在土壤水模型的顶部,对土壤水、地表水模型进行相同的空间和时间离散,在模型的计算过程中通过达西流关系对两者之间的水量交换进行计算(双层结点法耦合)或整合离散方程的整体法进行耦合。通过对两种耦合方法的比较以及与前人的实验结果对比,该模型与耦合方法能够准确地模拟和预测地表径流与土壤水分运动过程。研究结果可为分析地表水流与饱和-非饱和带水分与溶质耦合机理提供理论支持。     

黄河源区水文模拟中地形和融雪影响

为分析地形和融雪对水文模拟影响,利用SWAT模型在黄河源区进行1960—1990年水文模拟。二者的影响分别通过对子流域划分高程带和运用融雪模块来体现。研究表明,单独考虑融雪影响或考虑融雪、地形的共同影响下,模拟结果均能达到合格;单独考虑地形的影响下能达到良好。相比融雪影响,地形对流域水量平衡的模拟起主要作用。划分高程带对子流域的气温影响较大,对降水影响小。子流域气温的降低使得蒸散发减小,从而增加产水量,其中地下水增加最多,其次是地表径流和壤中流。地形和融雪的影响使地下水的补给来源改变,调整地下水参数后,最终模拟结果达到优秀。地形和融雪在黄河源区水文模拟中的影响可以为其他高山地区水文研究提供参考。     

The efficiency of vegetative buffer strips in runoff quality and quantity control

In recent years, nonpoint source pollutions, caused mostly by surface runoff, have become a subject of interest. Vegetative buffer strips contain a special plant species being passed by the flow before getting into the water bodies. The main aim of the present study is to evaluate the impact of three different types of vegetative buffer strips to reduce the surface water pollutants including sediment, nitrate and phosphate. The experiments were carried out using the experimental plots with the dimension of 1 × 10 m² as well as the artificial runoff with a flow rate of 1.65 L s^?1 during a year. The results of this study showed that the vegetative buffer strips reduced the runoff volume by 35–90%, sediment concentration by 42–94%, nitrate concentration by 35–88% and phosphate concentration by 28–95%. According to the results, the vetiver grass has a high efficiency in runoff pollutants control; but, due to the probability of creating the concentrated flow among the bushes of vetiver grass, it is strongly recommended to use a resistant plant with a density and uniformity similar to the turf grass and consistent to climatic conditions of the study area along with the vetiver grass. Also, periodic cutting the plants is as an effective strategy to deal with the role of vegetative buffer strips as a source of nutrients and sediment.     

基于高精度遥感亮温的典型流域河道径流模拟分析

随着对地卫星遥感技术的发展,微波遥感监测为径流模拟提供了新途径。目前,基于被动微波遥感亮度温度的河道径流模拟方法亟待深入探索。本文基于M/C信号法,利用新一代高精度被动微波亮温数据集在中国典型流域进行河道径流模拟,探讨该方法的适用性,分析断面河宽、平均流量、控制面积、植被覆盖度、高程、土地覆盖/利用类型、气候类型等地形地貌和水文气象因素对模拟效果的影响。结果表明:在中国七大流域61个典型站点中,决定系数R2 ≥ 0.5的站点占比超过59.0%,41.0%的站点纳什效率系数E_NS ≥ 0.5;位于西南诸河流域的站点模拟效果最佳,尤其在青藏高原地区;高程、平均流量、气候类型以及断面河宽是影响模拟效果的主要因素;站点位于高原山地气候下的小型河流一般模拟效果更佳,本文方法相对更适用。研究成果可为河道径流模拟提供研究思路,为微波遥感的水文应用提供切实指导。     

基于通用计算的涪江中段径流模拟研究

为了提高传统径流汇流模拟的时效性,提出了一种基于通用计算的径流汇流模型。模型采用纳维-斯托克斯作为基础方程。首先,文章探讨了利用通用计算进行径流汇流模拟的实现方法并设计了模拟计算流程。然后,以涪江流域中段为研究区域,将流域内25个常规站和区域站的实况降水数据为数据源,分别利用本文径流汇流模型和FloodArea模型对流域进行径流模拟,并将两种模型模拟结果与水文站实测数据进行对比分析。结果发现,基于通用计算的径流汇流模型不仅在模拟效率上相对于FloodArea模型有很大程度的提高,而且模拟结果具有更小的水位变化误差,与水文站实测水文数据具有更好拟合效果。模拟时效性和结果准确性的同时提升表明本文的径流汇流模型对暴雨洪涝预警预报具有重要的意义。     

塔里木河源区托什干河流域积雪动态及融雪径流模拟与预估

利用已被广泛使用的MODIS积雪数据, 获得了塔里木河源区之一的托什干河流域积雪变化信息. 结果表明: 流域积雪覆盖率时空差异显著, 在积雪丰富的年份, 1月积雪覆盖率可达90%以上, 但在积雪少的年份, 则只有50%; 2000年以来流域积雪呈现微弱增加的趋势, 积雪变化趋势呈现明显的时空差异. 相对于其他季节, 流域冬季积雪增加更为明显; 与其他高度带相比, 作为主要积雪覆盖区的海拔3 000~4 000 m高度带积雪的增加趋势也更为明显. 以流域所在的气象格网数据和积雪覆盖率变化曲线作为输入数据, 应用融雪径流模型(SRM)模拟了流域春季融雪径流过程, 率定了模型主要参数, 获得了较好的结果. 以CMIP5的3种RCP情景为驱动数据, 应用模型预估了流域2021-2050年的融雪径流状况, 结果显示 4月之前径流变化不明显, 之后径流峰值增大显著, 不同气候情景对径流的影响不明显.     

降雨条件下坡面径流和入渗耦合的数值模拟

降雨条件下坡面径流和降雨入渗的模拟互为条件,必须采用耦合分析的方法才能较好地解决这一问题。从坡面径流和降雨入渗控制方程着手,建立了用有限元方法求解该问题的耦合方程,并编制了相应的计算程序。为了加快迭代收敛的速度,还对地表饱和的判断提出了一种近似处理的方法。算例表明,所提出的方法可行,能较好地反映实际现象。该方法可为边（滑）坡稳定、水土流失、山地洪水分析等提供计算依据。     

岩石爆破损伤模型的比选与改进

归纳了目前应用较为广泛的爆破损伤模型关于损伤变量的定义方法,基于FORTRAN与LS-DYNA自定义接口,将5种典型的爆破损伤模型成功导入LS-DYNA。根据具体的工程实例,对5种爆破损伤模型计算的精确性进行了对比计算和验证。结果表明,KUS模型与RFPA模型对应的结果与实测值更接近。选取计算结果较为准确的KUS模型进行改进,考虑压缩损伤,并修正了宏观弹性常数的确定方法,建立了拉压损伤模型,并对该模型的计算精确性进行验证,结果表明,该拉压损伤模型可以更好地定量描述岩体爆破损伤范围。     

反照率对冬克玛底冰川径流及物质平衡模拟影响研究北大核心CSCD

反照率是影响冰川融水径流和冰川物质平衡的重要因素,但仍缺乏考虑反照率对冰川径流及物质平衡模拟效果影响的定量研究。本研究基于自主研发的冰川流域水文模型(FLEXG),在模型中加入反照率和入射短波辐射,以改进模型。利用2005-2014年长江源区冬克玛底冰川流域实测水文气象数据,以及2010-2014年小冬克玛底冰川各高程带物质平衡数据,开展了冰川流域径流和冰川物质平衡的模拟研究。研究发现:考虑反照率和入射短波辐射后,FLEXG模型对日尺度径流的模拟有一定改善,验证期KGE从0.49提高到0.51;冰川物质平衡的模拟也有明显提高,R2从0.67提高到0.83。同时,6-9月冰川径流的贡献从63%提高到66%,与利用同位素信息分割径流的结果更为接近,模拟真实性得到明显提高。     

灵活架构水文模型在不同产流区的应用

对于给定的流域,选择合适的水文模型进行模拟是水文学研究的难点。选取中国11个典型流域,划分为蓄满产流区、超渗产流区及混合产流区,分别验证4种经典概念性模型与4种灵活架构模型。研究表明:蓄满产流区灵活架构模型难以提高模拟精度,但可以检验模型构件对模拟结果的影响,排除不合实际的模型结构;超渗产流区灵活架构模型可以提高模拟精度,但缺乏系统性,难以完整准确地描绘水文过程。综合而言,灵活架构模型表现不稳定,通用性差,但架设与修改方便,易于确定流域产汇流关键过程,是水文模拟的有效手段。     

Comparison between neuro-fuzzy and fractal models for permeability prediction

We have used different techniques for permeability prediction using porosity core data from one well at the Maracaibo Lake, Venezuela. One of these techniques is statistical and uses neuro-fuzzy concepts. Another has been developed by Pape et al. (Geophysics 64(5):1447–1460, 1999), based on fractal theory and the Kozeny–Carman equations. We have also calculated permeability values using the empirical model obtained in 1949 by Tixier and a simple linear regression between the logarithms of permeability and porosity. We have used 100% of the permeability–porosity data to obtain the predictor equations in each case. The best fit, in terms of the root mean-square error, was obtained with the statistical approach. The results obtained from the fractal model, the Tixier equation or the linear approach do not improve the neuro-fuzzy results. We have also randomly taken 25% of the porosity data to obtain the predictor equations. The increase of the input data density for the neuro-fuzzy approach improves the results, as is expected for a statistical analysis. On the contrary, for the physical model based on the fractal theory, the decrease in the data density could allow reaching the ideal theoretical Kozeny–Carman model, on which are based the fractal equations, and hence, the permeability prediction using these expressions is improved.