Lee et al. (2026) A Shared Vision Model-Based Framework for Assessing Drought Coping Capacity in a Multi-Infrastructure Basin

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Water Resources Management
• Year: 2026
• Date: 2026-06-29
• Authors: Young-Oh Kim
• DOI: 10.1007/s11269-026-04813-x

Research Groups

• Korea Advanced Institute of Science and Technology (KAIST)
• National Institute for Mathematical Sciences (NIMS)

Short Summary

This study develops a system-dynamics-based Shared Vision Model (SVM) to quantify drought coping capacity in the Yeong–Seom Basin, South Korea. The model integrates operational rules and coordinated drought operations to evaluate basin-wide flow continuity.

Objective

• Investigate the effectiveness of the Shared Vision Model in quantifying drought coping capacity at the medium-scale watershed level.

Study Configuration

• Spatial Scale: Medium-scale watershed (Yeong–Seom Basin)
• Temporal Scale: 1995–2024 meteorological ensemble

Methodology and Data

• Models used: System-dynamics-based Shared Vision Model (SVM)
• Data sources: Satellite, observation, reanalysis data; operational rules and coordinated drought operations

Main Results

• High reproducibility for most dams (R² = 0.93–0.99; NSE = 0.80–0.99) in validation against 2022–2023 observations.
• Drought coping capacity evaluated using 30 annual inflow ensemble scenarios derived from a 1995–2024 meteorological ensemble.
• Frequency–Duration–Magnitude indicators calculated by drought stage and aggregated into a dimensionless coping-capacity index.

Contributions

• Original contribution to the field of Shared Vision Planning, providing a system-dynamics-based approach for quantifying drought coping capacity at the medium-scale watershed level.
• Development of a basin-wide flow continuity model integrating operational rules and coordinated drought operations.

Funding

• This research was funded by the National Research Foundation of Korea (NRF) under grant numbers NRF-2020R1A2C1006549 and NRF-2018R1D1A3B07045911.

Citation

@article{Lee2026Shared,
  author = {Lee, Joohyung and Kim, Young-Oh},
  title = {A Shared Vision Model-Based Framework for Assessing Drought Coping Capacity in a Multi-Infrastructure Basin},
  journal = {Water Resources Management},
  year = {2026},
  doi = {10.1007/s11269-026-04813-x},
  url = {https://doi.org/10.1007/s11269-026-04813-x}
}