Parameter Estimation for the Nonlinear Muskingum Model Using the BFGS Technique

By Zong Woo Geem. 2006

156 citations recorded by the source corpus.

Subfields: Environmental Engineering, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/5beac8afcd1804c117683f95ec878c2593b03d1f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Engineering

1. Majid Niazkar
2. Seied Hosein Afzali
3. Gurhan Gurarslan
4. Halil Karahan
5. Zong Woo Geem

In Water Science and Technology

1. Majid Niazkar
2. Seied Hosein Afzali
3. Gurhan Gurarslan
4. Halil Karahan
5. Saeed Gholizadeh
6. Alireza Barzegar

Citations in the corpus

• Parameter Estimation of the Nonlinear Muskingum Flood-Routing Model Using a Hybrid Harmony Search Algorithm (2013, methodology): “The zero-order numerical routing procedure given by Tung (1985) and Geem (2006) is preferred for making a comparison and is slightly modified for preventing negativity of outflows and storages.”
• Assessment of Modified Honey Bee Mating Optimization for Parameter Estimation of Nonlinear Muskingum Models (2015, methodology): “Das (2004) transformed the constrained parameter optimization problem into an unconstrained one and estimated Muskingum parameters using the Lagrange multiplier (Geem 2006).”