A Sensitivity Analysis Approach to Identifying Drivers of Streamflow Hysteresis
We study the critical interplay between streamflow hysteresis and local hydro-morphologic conditions. Hysteresis strength, which can lead to over 60% errors in discharge estimation with widely accepted monitoring methods, is primarily influenced by local characteristics such as bed slope, roughness, and event wave intensity. Our study used a 1D numerical model to highlight the hysteresis response to local hydro-morphological changes acting in isolation or combination. The sensitivity study entails gradual variation of the hydrograph intensity, backwater condition, bed slope (0.0001
Authors
- Marian Muste
- İbrahim Demir (ORCID: https://orcid.org/0000-0002-0461-1242)
- Ehab Meselhe (ORCID: https://orcid.org/0000-0002-5832-8864)
- Kyeongdong Kim (ORCID: https://orcid.org/0009-0004-1236-9400)
- Emma House
Publication Details
- Published
- 2025-09-28
- DOI
- https://doi.org/10.31223/x5cj1q
- Primary Topic
- Model Reduction and Neural Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation