Closure to “Reverse Flood Routing in Rivers Using Linear and Nonlinear Muskingum Models” by Meisam Badfar, Reza Barati, Emrah Dogan, and Gokmen Tayfur
نویسندگان
چکیده
منابع مشابه
development of nonlinear muskingum model and its compare with hec-ras model for flood routing in rivers
flood routing in rivers is a mathematical procedure to determine flow hydrograph at a point in a river. one of routing methods is based on solution of saint-venant equations for unsteady flows. because this method is very complex and need to more information of river, other methods with simple calculations and reasonably accurate results have been extended and give generally satisfactory result...
متن کاملApplication of the Elitist-Mutated PSO and an Improved GSA to Estimate Parameters of Linear and Nonlinear Muskingum Flood Routing Models
Heuristic search algorithms, which are characterized by faster convergence rates and can obtain better solutions than the traditional mathematical methods, are extensively used in engineering optimizations. In this paper, a newly developed elitist-mutated particle swarm optimization (EMPSO) technique and an improved gravitational search algorithm (IGSA) are successively applied to parameter est...
متن کاملApplication of a One-Dimensional Computer Model to Flood Routing in Narrow Rivers
This paper deals with the development of a computer model for flood routing in narrow rivers. Equations describing the propagation of a flood wave in a channel-flood plain system are presented and solved using an implicit finite difference scheme. Particular emphasis has been given to the treatment of the friction term in the governing equation of motion.
متن کاملRiver Flood Forecasting Using Complementary Muskingum Rating Equations
A model for real-time flood forecasting in river systems with large drainage areas has been developed. Flow variations between upstream and downstream stations are interlinked and are typically governed by reach properties. Unique paired variations establish useful flow correspondence resulting in inflow and outflow forecasting models for a reach. The proposed model can generate forecasts with ...
متن کاملA Comparative Study Concerning Linear and Nonlinear Models to Determine Sugar Content in Sugar Beet by Near Infrared Spectroscopy (NIR)
This paper reports on the use of Artificial Neural Networks (ANN) and Partial Least Squareregression (PLS) combined with NIR spectroscopy (900-1700 nm) to design calibration models for thedetermination of sugar content in sugar beet. In this study a total of 80 samples were used as the calibration set,whereas 40 samples were used for prediction. Three pre-processing methods, including Multiplic...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Hydrologic Engineering
سال: 2022
ISSN: ['1084-0699', '1943-5584']
DOI: https://doi.org/10.1061/(asce)he.1943-5584.0002174