机译:一种新的混合非线性Muskingum模型在洪水路由中的应用
Department of Irrigation & Reclamation Engineering Faculty of Agricultural Engineering & Technology College of Agriculture & Natural Resources University of Tehran Karaj Tehran Iran;
Department of Irrigation & Reclamation Engineering Faculty of Agricultural Engineering & Technology College of Agriculture & Natural Resources University of Tehran Karaj Tehran Iran;
Department of Irrigation & Reclamation Engineering Faculty of Agricultural Engineering & Technology College of Agriculture & Natural Resources University of Tehran Karaj Tehran Iran;
Faculty of Environment College of Environmental Engineering University of Tehran Karaj Tehran Iran;
Department of Geography University of California Santa Barbara CA USA;
environment; hydrology water resource; river engineering;
机译:洪水路由:使用具有四种可变参数的新的非线性Muskingum模型来改善流出,其中四个可变参数与PSO-GA算法耦合
机译:利用非线性Muskingum方程和EXCEL工具“ GANetXL”开发河流洪水路由模型
机译:非线性Muskingum模型的洪水路由:质量和动量守恒
机译:马斯金格峰洪水泛洪模型最优参数估计的混合混沌遗传算法
机译:小溪流洪水路线:马斯金格瀑布,级联水库和完整的动态解决方案的回顾。
机译:Elitist突变的PSO和改进的GSA在估计线性和非线性Muskingum洪水路由模型参数中的应用
机译:Elitist-mutated psO和改进Gsa在线性和非线性muskingum洪水演进模型参数估计中的应用。
机译:四条加州河流水线和非线性水文洪水演进模型的比较及模型参数与航道物理特性的关系