OpenAlex | A Class of Parameter Estimation Methods for Nonlinear Muskingum Model Using Hybrid Invasive Weed Optimization Algorithm

A Class of Parameter Estimation Methods for Nonlinear Muskingum Model Using Hybrid Invasive Weed Optimization Algorithm

Work

Year: 2015

Type: article

Abstract: Nonlinear Muskingum models are important tools in hydrological forecasting. In this paper, we have come up with a class of new discretization schemes including a parameter<mml:math xmlns:mml="http://w... more

Source: Mathematical Problems in Engineering

Authors Aijia Ouyang, Libin Liu, Zhou Sheng, Fan Wu

Institutions Hunan University, Hunan City University, Chizhou University, Guangxi University

Cites: 35

Cited by: 29

Related to: 10

FWCI: 1.442

Citation percentile (by year/subfield): 81.61

Topic: Hydrological Forecasting Using AI

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

Open Access status: gold

APC paid (est): $2,400

Funders National Natural Science Foundation of China, National Natural Science Foundation of China, National Natural Science Foundation of China, National Natural Science Foundation of China

Grant IDS 2014GK3043, 13C333, 2013SQRL095ZD, 11301044