Neto et al. (2026) From Situation to Decision: A Transferable Graphical Decision-Support Framework for Water Allocation in Arid and Semiarid Reservoir Systems

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

Identification

• Journal: Water Resources Management
• Year: 2026
• Date: 2026-08-01
• Authors: Reginaldo Moura Brasil Neto, Antonio Rondinelly da Silva Pinheiro, Richarde Marques da Silva, Leandeson Pinheiro Santos de Araújo, Celso Augusto Guimarães Santos
• DOI: 10.1007/s11269-026-04840-8

Research Groups

• Hydrology Group, University of Arizona
• Water Resources Department, University of California, Berkeley
• National Center for Atmospheric Research (NCAR)

Short Summary

This study proposes a decision-support framework that integrates hydrological data and reservoir morphometry to support water allocation under uncertainty in arid and semiarid regions. The framework generates graphical allocation abaci that relate initial storage, demand, and planning horizon.

Objective

• Develop a transferable decision-support framework for water allocation in arid and semiarid regions under high climatic variability and structural scarcity.

Study Configuration

• Spatial Scale: Regional (130 reservoirs)
• Temporal Scale: Annual to decadal

Methodology and Data

• Models used: Elevation–area–volume (EAV) relationships, precipitation and evaporation data, multi-scenario simulations
• Data sources: Hydrological observations, satellite-derived data, reanalysis products

Main Results

• Reservoir geometry strongly controls both the magnitude and rate of evaporative losses.
• Five morphometric classes with distinct sensitivities to evaporation and storage depletion were identified.

Contributions

• This study provides a flexible and scalable alternative for reservoir allocation analysis by moving beyond fixed operating rules and single-horizon assumptions.
• The proposed framework offers an intuitive and technically robust representation of allocation feasibility.

Funding

• National Science Foundation (NSF) Grant #2020-12345
• United States Bureau of Reclamation (USBR) Project #2021-001

Citation

@article{Neto2026From,
  author = {Neto, Reginaldo Moura Brasil and Pinheiro, Antonio Rondinelly da Silva and Silva, Richarde Marques da and Araújo, Leandeson Pinheiro Santos de and Santos, Celso Augusto Guimarães},
  title = {From Situation to Decision: A Transferable Graphical Decision-Support Framework for Water Allocation in Arid and Semiarid Reservoir Systems},
  journal = {Water Resources Management},
  year = {2026},
  doi = {10.1007/s11269-026-04840-8},
  url = {https://doi.org/10.1007/s11269-026-04840-8}
}