Evaluation of rainfall-runoff performance using the stochastic integral equation method     

T. V. Hromadka  R. H. McCuen 《Stochastic Hydrology and Hydraulics》1989,3(3):217-226

The stochastic integral equation method (S.I.E.M.) is used to evaluate the relative performance of a set of both calibrated and uncalibrated rainfall-runoff models with respect to prediction errors. The S.I.E.M. is also used to estimate confidence (prediction) interval values of a runoff criterion variable, given a prescribed rainfall-runoff model, and a similarity measure used to condition the storms that are utilized for model calibration purposes.Because of the increasing attention given to the issue of uncertainty in rainfall-runoff modeling estimates, the S.I.E.M. provides a promising tool for the hydrologist to consider in both research and design.  相似文献   

雷达雨量计资料用于径流模拟(英)   总被引：2，自引：0，他引：2  

LIU Xiaoyang  MAO Jietai  ZHU Yuanjing  LI Jiren 《大气科学进展》2003,20(2):213-218

利用测雨雷达结合稠密和稀疏雨量站网估计流域降水分布,将小同方法获得的降水分布输入降水径流模型TOPMODEL,模拟1998,1999夏季GAME/HUBEX试验区梅山和鲇鱼山集水区的径流,并与实测径流进行比较和分析,结果表明:1)雷达结合集水区内雨量计网模拟径流的精度优于传统的用稠密雨量计网模拟径流的精度;2)利用雷达结合集水区外相对稀疏的雨量计网模拟径流的精度和用集水区内稠密雨量计网模拟径流的精度相当,显示了测雨雷达在径流模拟和洪水预报中极大的应用潜力。  相似文献   

分布式降雨径流物理模型的建立和应用   总被引：6，自引：4，他引：6       下载免费PDF全文

都金康  谢顺平  许有鹏  许崇育 《水科学进展》2006,17(5):637-644

根据流域降雨径流的主要过程,考虑流域气象及下垫面要素的空间异质性,建立了具有物理基础的分布式降雨径流模型。模型将流域离散为栅格计算单元,并按水流特性分栅格单元为坡面单元和河网单元。在坡面单元上主要计算降雨、下渗、坡面流、壤中流等水文过程,而河网单元则主要计算河道汇流过程。模型利用空间权重插值方法将雨量站点的降雨量插值到各个计算单元,采用运动波方程来计算坡面流,将壤中流概化为垂向流和侧向流,分别用Green-Ampt公式和运动波方程来模拟,河道汇流也采用运动波方程。模型结构简单、参数的物理意义明确,大多数参数可利用DEM、土壤类型图、植被类型图直接获取,少数敏感参数通过率定确定。模型在浙江省甬江上游黄土岭流域和皎口流域进行了应用和检验,其结果令人满意。  相似文献   

流域水文模型研究进展   总被引：7，自引：0，他引：7  

石教智  陈晓宏 《水文》2006,26(1):18-23

本文介绍了流域水文模型的分类,论述了流域水文模型基础理论——产汇流理论的发展及其自身的研究进展,探讨了流域水文模型的研究趋势和发展困境,并对未来做出了展望,以期能推进流域水文模型的研究。  相似文献   

自适应神经模糊推理系统(ANFIS)在水文模型综合中的应用   总被引：1，自引：0，他引：1  

熊立华  郭生练  叶凌云 《水文》2006,26(1):38-41

由于目前已有很多比较成熟的流域水文模型,因此我们可以选用几个流域水文模型进行并行运算,来同时模拟流域降雨—径流关系。在相同的降雨输入情况下,不同模型得到的模拟流量必然会有所不同,模型效率系数和模拟精度也会不同。因此,如何将不同模型的模拟结果进行综合以进一步提高流量模拟精度是一个关键问题。本文选用自适应神经模糊推理系统(ANFIS)作为水文模型综合平台,以牧马河流域为试验区域,对两个并行运算水文模型(三水源新安江模型和总径流响应模型)的结果进行综合处理,得到了更稳健的流量模拟结果,大大提高了模型效率和模拟精度。该方法值得在实践中借鉴。  相似文献   

水库汛期限制水位控制理论与观念的更新探讨   总被引：60，自引：0，他引：60       下载免费PDF全文

邱瑞田  王本德  周惠成 《水科学进展》2004,15(1):68-72

传统的水库汛限水位的控制,只利用了洪水的统计信息,使水库在汛期要时刻预防设计与校核洪水事件的发生,致使一些水库在汛期不敢蓄水而汛后又无水可蓄,造成洪水资源的浪费。提出水库汛限水位动态控制的新理念及其综合推理模式,适应当前预报技术的发展水平,考虑降雨径流洪水预报与一定时间内的短期降雨预报,排除不可能发生的洪水事件,预报可能发生的洪水,实施水库汛限水位的动态控制。但预报不可避免地存在误差,当小概率预报误差事件发生时,仍可采取弥补措施以确保大坝的防洪安全。  相似文献   

乌力吉木仁河三级区水资源变异及归因分析     

谢平  刘媛  杨桂莲  章树安  许斌  刘静君 《水文》2012,32(2):40-43,39

随着气候变化和人类活动对水资源影响越来越显著,大量水文序列的统计规律不再满足一致性要求而出现了变异。水资源日益重要的社会地位,要求在对水文变异进行检测的同时,需进一步量化影响其变异的因素,但目前归因分析的研究仍以定性或半定量为主。由于降雨和径流是水循环中关键的水文要素,且分别可以反映气候变化和人类活动对水资源的影响,利用降雨-径流关系提出了定量研究水资源变异的归因分析方法。结合乌力吉木仁河三级区1956~2000的年径流和年降雨序列,在对其分别进行变异诊断的基础上,定量地分析了造成该区水文变异的原因。计算结果表明:气候变化对乌力吉木仁河三级区水资源变异的贡献率为24%,而人类活动影响的贡献率为76%,可见人类活动是造成该区水资源变异的主要因素。  相似文献   

Little River Experimental Watershed,a keystone in understanding of coastal plain watersheds     

David D. Bosch  Alisa W. Coffin  Joseph Sheridan  Oliva Pisani  Dinku M. Endale  Tim C. Strickland 《水文研究》2021,35(8):e14334

The US Department of Agriculture-Agricultural Research Service Southeast Watershed Research Laboratory (SEWRL) initiated a hydrologic research program on the Little River Experimental Watershed (LREW) in 1967. Long-term (52 years) streamflow data are available for nine sites, including rainfall-runoff relationships and hydrograph characteristics regularly used in research on interactive effects of climate, vegetation, soils, and land-use in low-gradient streams of the US EPA Level III Southeastern Plains ecoregion. A summary of prior research on the LREW illustrates the impact of the watershed on building a regional understanding of hydrology and water quality. Climatic and streamflow data were used to make comparisons of scale across the nine nested LREW watersheds (LRB, LRF, LRI, LRJ, LRK, LRO, LRN, LRM, and LRO3) and two regional watersheds (Alapaha and Little River at Adel). Annual rainfall for the largest LREW, LRB, was 1200 mm while average annual streamflow was 320 mm. Annual rainfall, streamflow, and the ratio between annual streamflow and rainfall (Sratio) were similar (α = 0.05) across LREWs LRB, LRF, LRI, LRJ, LRK, and LRO. While annual rainfall within the 275 ha LRO3 was found to be similar to LRO and LRM (α = 0.05), annual streamflow and Sratio were significantly different (α = 0.05). Comparisons of annual rainfall, streamflow, and Sratio between LRB and the regional watersheds indicated no differences (α = 0.05). Based upon this analysis, most regional watersheds shared similar hydrologic characteristics. LRO3 was an exception, where increases in row crops and decreases in forest coverage resulted in increased streamflow. LREW data have been instrumental in building considerable scientific understanding of flow and transport processes for these stream systems. Continued operation of the LREW hydrologic network will support hydrologic research as well as environmental quality and riparian research programs that address emerging and high priority natural resource and environmental issues.  相似文献   

Storage-discharge characteristics of an active rock glacier catchment in the Innere Ölgrube,Austrian Alps     

Thomas Wagner  Simon Kainz  Karl Krainer  Gerfried Winkler 《水文研究》2021,35(5):e14210

The active rock glacier “Innere Ölgrube” and its catchment area (Ötztal Alps, Austria) are assessed using various hydro(geo)logical tools to provide a thorough catchment characterization and to quantify temporal variations in recharge and discharge components. During the period from June 2014 to July 2018, an average contribution derived from snowmelt, ice melt and rainfall of 35.8%, 27.6% and 36.6%, respectively, is modelled for the catchment using a rainfall-runoff model. Discharge components of the rock glacier springs are distinguished using isotopic data as well as other natural and artificial tracer data, when considering the potential sources rainfall, snowmelt, ice melt and longer stored groundwater. Seasonal as well as diurnal variations in runoff are quantified and the importance of shallow groundwater within this rock glacier-influenced catchment is emphasized. Water derived from ice melt is suggested to be provided mainly by melting of two small cirque glaciers within the catchment and subordinately by melting of permafrost ice of the rock glacier. The active rock glacier is characterized by a layered internal structure with an unfrozen base layer responsible for groundwater storage and retarded runoff, a main permafrost body contributing little to the discharge (at the moment) by permafrost thaw and an active layer responsible for fast lateral flow on top of the permafrost body. Snowmelt contributes at least 1/3rd of the annual recharge. During droughts, meltwater derived from two cirque glaciers provides runoff with diurnal runoff variations; however, this discharge pattern will change as these cirque glaciers will ultimately disappear in the future. The storage-discharge characteristics of the investigated active rock glacier catchment are an example of a shallow groundwater aquifer in alpine catchments that ought to be considered when analysing (future) river runoff characteristics in alpine catchments as these provide retarded runoff during periods with little or no recharge.  相似文献   

Artificial neural networks for daily rainfall—runoff modelling     

M. P. RAJURKAR  U. C. KOTHYARI  U. C. CHAUBE 《水文科学杂志》2013,58(6):865-877

Abstract

The application of artificial neural network (ANN) methodology for modelling daily flows during monsoon flood events for a large size catchment of the Narmada River in Madhya Pradesh (India) is presented. The spatial variation of rainfall is accounted for by subdividing the catchment and treating the average rainfall of each subcatchment as a parallel and separate lumped input to the model. A linear multiple-input single-output (MISO) model coupled with the ANN is shown to provide a better representation of the rainfall-runoff relationship in such large size catchments compared with linear and nonlinear MISO models. The present model provides a systematic approach for runoff estimation and represents improvement in prediction accuracy over the other models studied herein.  相似文献