Estimating storm runoff extreme in small ungauged catchments using an integrated modeling approach
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
Hydrological modeling often requires long-term and stable runoff data. Due to limitations in hydrological stations, hydrological modeling in small-scale catchments faces the challenge of data scarcity. To overcome the challenge of incomplete hydrological data, an integrated modeling approach that includes a semi-distributed hydrological and a hydrodynamic numerical model was employed in a small-scale catchment located in Isserstedt, upstream of the Leutra River, Germany. The results indicated that this integrated modeling approach effectively leverages the strengths of each model and reasonably predicted peak flows. As a measure for regional runoff management, keyline method contributed to more stable hydrographs and lower peak flows, and played a role in water storage and local climate regulation. The framework proposed in this study provided valuable insights into critical storms, hydrographs, and flood extent in storm runoff extremes.
Details
Original language | English |
---|---|
Article number | 100092 |
Journal | Sustainable Horizons |
Volume | 9 |
Publication status | Published - Mar 2024 |
Peer-reviewed | Yes |
External IDs
ORCID | /0000-0002-1698-8880/work/166325555 |
---|
Keywords
Sustainable Development Goals
ASJC Scopus subject areas
Keywords
- Keyline design, Numerical hydrodynamic model, Rainfall-runoff model, Ungauged catchment