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Related Experiment Video

Updated: Jun 20, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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An optimisation approach for planning preventive drought management measures.

Ana M Paez-Trujillo1, J Sebastian Hernandez-Suarez2, Leonardo Alfonso3

  • 1IHE Delft Institute for Water Education, P.O. Box 3015, 2601 DA Delft, the Netherlands; Delft University of Technology, Water Resources Section, P.O. Box 5048, 2600 GA Delft, the Netherlands; Fundación Natura Colombia, Carrera 21 No. 39-43, Bogotá, Colombia.

The Science of the Total Environment
|July 19, 2024
PubMed
Summary

Preventive Drought Management Measures (PDMMs) can reduce drought severity, but their effectiveness varies. Careful planning is needed due to trade-offs between agricultural and hydrological drought management.

Keywords:
Agricultural droughtDrought managementGenetic algorithmHydrological droughtOptimisation

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Area of Science:

  • Environmental Science
  • Hydrology
  • Climate Change Adaptation

Background:

  • Global drought impacts are increasing due to climate change.
  • There is a critical need for enhanced drought resistance and resilience.
  • Preventive Drought Management Measures (PDMMs) offer a strategy to mitigate drought risks.

Purpose of the Study:

  • To optimize the allocation of PDMMs for reducing agricultural and hydrological drought severity.
  • To explore the utility of multi-objective optimization in PDMMs planning.
  • To analyze the trade-offs and complexities in implementing PDMMs.

Main Methods:

  • Utilized an optimization approach combined with multicriteria decision-making.
  • Developed management scenarios to assess PDMM effectiveness.
  • Analyzed temporal and spatial variabilities of PDMM impacts.

Main Results:

  • PDMM implementation can reduce the severity of both agricultural and hydrological droughts.
  • Management scenarios revealed trade-offs, where PDMMs may benefit one drought type while negatively impacting another.
  • PDMM impacts exhibit significant temporal and spatial variability within a basin.

Conclusions:

  • Multi-objective optimization is valuable for planning PDMMs.
  • Customized PDMM implementation is essential, considering basin-specific characteristics and drought type interactions.
  • Understanding the complex, variable effects of PDMMs is crucial for effective drought management.