MOESHA: A Genetic Algorithm for Automatic Calibration and Estimation of Parameter Uncertainty and Sensitivity of Hydrologic Models

Characterization of the uncertainty and sensitivity of model parameters is an essential facet of hydrologic modeling. This article introduces the multi-objective evolutionary sensitivity handling algorithm (MOESHA) that combines input parameter uncertainty and sensitivity analyses with a genetic alg...

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Bibliografske podrobnosti
izdano v:Trans ASABE
Main Authors: Barnhart, Bradley L., Sawicz, Keith A., Ficklin, Darren L., Whittaker, Gerald W.
Format: Artigo
Jezik:Inglês
Izdano: 2017
Teme:
Article
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC6223138/
https://ncbi.nlm.nih.gov/pubmed/30416840
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.13031/trans.12179
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