A comprehensive approach to conducting multi-criteria sensitivity analysis of computationally expensive multidimensional hydrodynamic-ecology models (MHEs).
Saved in:
| Title: | A comprehensive approach to conducting multi-criteria sensitivity analysis of computationally expensive multidimensional hydrodynamic-ecology models (MHEs). |
|---|---|
| Authors: | Gebremariam, Seyoum Yami1 (AUTHOR) Sgebremariam@mwdh2o.com |
| Source: | Hydrological Sciences Journal/Journal des Sciences Hydrologiques. Aug2025, Vol. 70 Issue 10, p1700-1723. 24p. |
| Subjects: | Sensitivity analysis, Parallel programs (Computer programs), Climate change, Ecological models |
| Abstract: | The reservoir-simulating multidimensional hydrodynamic-ecology (MHE) models are too complex and computationally expensive, rendering modelers unable to conduct suitable sensitivity analysis (SA). The Morris, Fourier Amplitudes Sensitivity Test (FAST), and Extended Fourier Amplitude Sensitivity Test (eFAST) SA techniques and the newly built parallelization software were utilized in randomized factorial experiments on a test-MHE – AEM3D model to ascertain an affordable and appropriate SA technique. A comprehensive multi-criteria SA was performed, incorporating 49 objective criteria, alongside experiments assessing run length and model resolution impacts. The parallelization tool reduced model runtime by 3000%, as the Morris method accurately identified the most significant parameters, which the standard techniques FAST and eFAST also identified, albeit with significantly fewer iterations. The study concludes that parallelization, the Morris technique, coarse resolution, shorter run-length, and multi-criteria SA combined with the newly proposed rank frequency method can facilitate cost-effective and reliable SA utilizing office computers. The approach enables water agencies to quickly assess climate-change impacts and develop adaptation strategies. [ABSTRACT FROM AUTHOR] |
| Copyright of Hydrological Sciences Journal/Journal des Sciences Hydrologiques is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| Abstract: | The reservoir-simulating multidimensional hydrodynamic-ecology (MHE) models are too complex and computationally expensive, rendering modelers unable to conduct suitable sensitivity analysis (SA). The Morris, Fourier Amplitudes Sensitivity Test (FAST), and Extended Fourier Amplitude Sensitivity Test (eFAST) SA techniques and the newly built parallelization software were utilized in randomized factorial experiments on a test-MHE – AEM3D model to ascertain an affordable and appropriate SA technique. A comprehensive multi-criteria SA was performed, incorporating 49 objective criteria, alongside experiments assessing run length and model resolution impacts. The parallelization tool reduced model runtime by 3000%, as the Morris method accurately identified the most significant parameters, which the standard techniques FAST and eFAST also identified, albeit with significantly fewer iterations. The study concludes that parallelization, the Morris technique, coarse resolution, shorter run-length, and multi-criteria SA combined with the newly proposed rank frequency method can facilitate cost-effective and reliable SA utilizing office computers. The approach enables water agencies to quickly assess climate-change impacts and develop adaptation strategies. [ABSTRACT FROM AUTHOR] |
|---|---|
| ISSN: | 02626667 |
| DOI: | 10.1080/02626667.2025.2497883 |
