Robust Parameter Set Selection for a Hydrodynamic Model Based on Multi-Site Calibration Using Multi-Objective Optimization and Minimax Regret Approach-Reference-Cited by-同舟云学术

Robust Parameter Set Selection for a Hydrodynamic Model Based on Multi-Site Calibration Using Multi-Objective Optimization and Minimax Regret Approach

Published:2018-07-12 Issue:12 Volume:32 Page:3979-3995
ISSN:0920-4741
Container-title:Water Resources Management
language:en
Short-container-title:Water Resour Manage

Author:

Li Li,Chung Eun-Sung^ORCID,Jun Kyung Soo

Publisher

Springer Science and Business Media LLC

Subject

Water Science and Technology,Civil and Structural Engineering

Link

http://link.springer.com/article/10.1007/s11269-018-2031-4/fulltext.html

Reference43 articles.

1. Aksoy S, Haralick R (2000) Feature normalization and likelihood-based similarity measures for image retrieval. Pattern Recognit Lett, Special Issue on Image and Video Retrieval

2. Aronica G, Hankin B, Beven K (1998) Uncertainty and equifinality in calibrating distributed roughness coefficients in a flood propagation model with limited data. Adv Water Resour 22:349–365

3. Aronica G, Tucciarelli T, Nasello C (1998) 2D multilevel model for flood wave propagation in flood-affected areas. J Water Res Pl 124:210–217

4. Ayvaz MT (2013) A linked simulation-optimization model for simultaneously estimating the Manning’s surface roughness values and their parameter structures in shallow water flow. J Hydrol 500:183–199

5. Bates PD (2004) Remote sensing and flood inundation modelling. Hydrol Process 18:2593–2597

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