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基于BP神经网络的雨雪混合径流预报模型 被引量:2
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作者 周浩澜 李兰 +2 位作者 赵英虎 杨超 何苗 《中国农村水利水电》 北大核心 2008年第2期45-47,共3页
通过分析暴雨融雪混合径流的物理成因,确定其主要影响因子,然后分析雨雪混合径流主要影响因子对径流的影响,建立一个基于BP神经网络雨雪混合径流预报模型,并利用新疆喀浪古尔河流域暴雨融雪径流资料对模型进行仿真训练实验和验证。通过... 通过分析暴雨融雪混合径流的物理成因,确定其主要影响因子,然后分析雨雪混合径流主要影响因子对径流的影响,建立一个基于BP神经网络雨雪混合径流预报模型,并利用新疆喀浪古尔河流域暴雨融雪径流资料对模型进行仿真训练实验和验证。通过结果比较分析,在一定程度上提高了模型预报精度。 展开更多
关键词 雨雪混合径流 神经网络 预报
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混合式抽水蓄能电站月平均混合径流的准确性分析 被引量:2
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作者 李文武 纪昌明 黄小峰 《三峡大学学报(自然科学版)》 CAS 2009年第6期15-18,共4页
混合式抽水蓄能水电站水库入库为混合径流,包括抽水形成的人工径流和天然径流.混合径流是计算时段的平均指标,为分析该信息指标在混合式抽水蓄能电站水库长期调度水能计算中的准确性,在供水期以月为计算时段,比较基于混合径流的月电量... 混合式抽水蓄能水电站水库入库为混合径流,包括抽水形成的人工径流和天然径流.混合径流是计算时段的平均指标,为分析该信息指标在混合式抽水蓄能电站水库长期调度水能计算中的准确性,在供水期以月为计算时段,比较基于混合径流的月电量计算和计及日内水位变化的月电量计算,并以白山混合式抽水蓄能电站为例进行计算,结果表明应用混合径流信息指标计算引起的数据误差很小,该信息指标有助于常规水电站水库长期调度方法在混合式抽水蓄能电站水库的应用. 展开更多
关键词 混合径流 抽水蓄能 长期调度 电量指标
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黑龙江省积雪和融雪径流的初步研究 被引量:11
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作者 季山 张德伟 宋文生 《黑龙江大学工程学报》 1994年第3期7-17,共11页
根据前人的成果和哈尔滨、佳木斯、齐齐哈尔、爱辉4个气象站50年代至1980年气象观测资料以及横道河子、五常2个水文站降水、蒸发和流量等观测资料,对黑龙江省降雪和积雪的某些特征以及融雪成因、融雪径流和雨雪混合径流等进行... 根据前人的成果和哈尔滨、佳木斯、齐齐哈尔、爱辉4个气象站50年代至1980年气象观测资料以及横道河子、五常2个水文站降水、蒸发和流量等观测资料,对黑龙江省降雪和积雪的某些特征以及融雪成因、融雪径流和雨雪混合径流等进行了初步研究。 展开更多
关键词 降雪 积雪 融雪 融雪径流 雨雪混合径流
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华北地区分布式蓄超空间动态组合TOKASIDE-D模型研究 被引量:5
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作者 刘玉环 刘志雨 +2 位作者 李致家 张珂 刘开磊 《河海大学学报(自然科学版)》 CAS CSCD 北大核心 2021年第2期105-112,共8页
为探究我国华北地区由于下垫面和降水时空分布不均匀产生的地下水超采严重和产流机制混合多变(蓄满与超渗产流随着时间和空间发生交替主导)等问题的解决办法,在基于物理基础的分布式模型TOKASIDE的基础上,通过降雨和土壤含水量之间的判... 为探究我国华北地区由于下垫面和降水时空分布不均匀产生的地下水超采严重和产流机制混合多变(蓄满与超渗产流随着时间和空间发生交替主导)等问题的解决办法,在基于物理基础的分布式模型TOKASIDE的基础上,通过降雨和土壤含水量之间的判定关系,动态识别蓄满产流和超渗产流网格,构建分布式蓄超空间动态组合模型(TOKASIDE-D),并选择华北地区的北辛店流域进行验证和分析。结果表明,与原模型相比,TOKASIDE-D模型在北辛店流域的洪水模拟精度有较为明显的提升,径流深误差合格率由44%提升至56%,洪峰误差合格率由44%提升至78%;TOKASIDE-D模型能够准确捕捉降雨、土壤含水量等动态因子对产流模式的控制效应。 展开更多
关键词 华北地区 降雨径流 TOKASIDE模型 蓄满产流 混合径流 空间动态组合 北辛店流域
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Convective heat and mass transfer in MHD mixed convection flow of Jeffrey nanofluid over a radially stretching surface with thermal radiation 被引量:6
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作者 M.BILAL ASHRAF T.HAYAT +1 位作者 A.ALSAEDI S.A.SHEHZAD 《Journal of Central South University》 SCIE EI CAS CSCD 2015年第3期1114-1123,共10页
Mixed convection flow of magnetohydrodynamic(MHD) Jeffrey nanofluid over a radially stretching surface with radiative surface is studied. Radial sheet is considered to be convectively heated. Convective boundary condi... Mixed convection flow of magnetohydrodynamic(MHD) Jeffrey nanofluid over a radially stretching surface with radiative surface is studied. Radial sheet is considered to be convectively heated. Convective boundary conditions through heat and mass are employed. The governing boundary layer equations are transformed into ordinary differential equations. Convergent series solutions of the resulting problems are derived. Emphasis has been focused on studying the effects of mixed convection, thermal radiation, magnetic field and nanoparticles on the velocity, temperature and concentration fields. Numerical values of the physical parameters involved in the problem are computed for the local Nusselt and Sherwood numbers are computed. 展开更多
关键词 Jeffrey nanofluid mixed convection flow radially stretching surface convective boundary conditions magnetic field
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Hybrid Simulation of the Initiation and Runout Characteristics of a Catastrophic Debris Flow 被引量:5
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作者 CHEN Hong-Xin ZHANG Li-Min +2 位作者 ZHANG Shuai XIANG Bo WANG Xiao-Feng 《Journal of Mountain Science》 SCIE CSCD 2013年第2期219-232,共14页
On 13 August 2010, a catastrophic debris flow with a volume of 1.17 million m3 occurred in Xiaojiagou Ravine near Yingxiu town of Wenchuan county in Sichuan Province, China. The main source material was the landslide ... On 13 August 2010, a catastrophic debris flow with a volume of 1.17 million m3 occurred in Xiaojiagou Ravine near Yingxiu town of Wenchuan county in Sichuan Province, China. The main source material was the landslide deposits retained in the ravine during the 2008 Wenchuan earthquake. This paper describes a two-dimensional hybrid numerical method that simulates the entire process of the debris flow from initiation to transportation and finally to deposition. The study area is discretized into a grid of square zones. A two dimensional finite difference method is then applied to simulate the rainfall-runoff and debris flow runout processes. The analysis is divided into three steps; namely, rainfall-runoff simulation, mixing water and solid materials, and debris flow runout simulation. The rainfall-runoff simulation is firstly conducted to obtain the cumulative runoff near the location of main source material and at the outlet of the first branch. The water and solid materials are then mixed to create an inflow hydrograph for the debris flow runout simulation. The occurrence time and volume of the debris flow can be estimated in this step. Finally the runout process of the debris flow is simulated. When the yield stress is high, it controls the deposition zone. When the yield stress is medium or low, both yield stress and viscosity influence the deposition zone. The flow velocity is largely influenced by the viscosity. The estimated yield stress by the equation, ty = pghsinO, and the estimated viscosity by the equation established by Bisantino et al. (2010) provide good estimates of the area of the debris flow fan and the distribution of deposition depth. 展开更多
关键词 Debris flow Landslide Rain-inducedlandslide Surface runoff Runout distance Wenchuan earthquake Numerical simulation
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Single-jet Spray Mixing with a Confined Crossflow 被引量:1
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作者 孙慧娟 白博峰 +1 位作者 严俊杰 张海滨 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2013年第1期14-24,共11页
In order to achieve uniform mixing between spray droplets and crossflow, cold-model experiment of a hollow-cone water spray in an air crossflow is investigated via a numerical simulation. The simulation cases are desi... In order to achieve uniform mixing between spray droplets and crossflow, cold-model experiment of a hollow-cone water spray in an air crossflow is investigated via a numerical simulation. The simulation cases are designed by using the orthogonal design method. The Eulerian-Lagrangian formulation is employed for modeling the droplets-crossflow two-phase flow while the realizable k-ε turbulence model is used to describe the turbulence. A new index, mixedness quality, is proposed to assess the overall mixing of the droplets in the crossflow. The simulation results demonstrate that the counter-rotating vortex pair (CVP) imposes a more significant impact on the spatial distribution than on the size distribution of the droplets. Pairs of CVP with smaller scales are preferable for achieving a better mixing. The influencing factors are listed in the following order in terms of the degree of their impact from the greatest to the least: the Sauter diameter of the initial droplets, the mixing tube diameter, the spray angle, the velocity of the inlet crossflow, and the vertical velocity of the initial droplets. A moderate droplet diameter, a smaller tube diameter, a moderate spray angle, a greater crossflow velocity and a moderate vertical velocity of the droplet are favorable for achieving a higher mixedness quality of the jet spray in a confined crossflow. 展开更多
关键词 MIXING jet spray droplets CROSSFLOW numerical simulation
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