检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:王泽华 孙颖娜[2] 张一丁[2] WANG Ze-Hua;SUN Ying-Na;ZHANG Yi-Ding(Harbin irrigation district administration department,Harbin,150020 Chian;School of Hydraulic and Electric Power,Heilongjiang University,Harbin 150086,China)
机构地区:[1]哈尔滨市灌区管理处,哈尔滨150020 [2]黑龙江大学水利电力学院,哈尔滨150080
出 处:《黑龙江大学工程学报》2018年第2期24-27,共4页Journal of Engineering of Heilongjiang University
基 金:松花江干流治理工程生态护坡寒区适应性及其优化技术研究项目(SGZL/KY-10)
摘 要:以线性特征河长演算法为基础,应用随机微分方程理论,对河道洪水预报中的不确定性进行分析,建立了蓄量系数为随机变量的河道洪水预报模型,并在理论上给出蓄量系数服从正态分布时出流过程的统计特征值。结果表明,考虑洪水预报中的不确定性,可以确定出流过程的不确定度,为防洪决策提供依据。Uncertainty of river channel flood forecast is analyzed basing on forward algorithm of linear characteristic. River channel flood forecast model is built by random differential equation theory. Storage coefficient is random variable in the model. Storage coefficient obeyed theoretically statistical characteristics of normal distribution outflow process. The result shows the uncertainty of river channel flood forecast is considered to determine uncertainty of outflow process to provide evidence for flood decision.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.117