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A novel tool to assess available hydrological information and the occurrence of sub-optimal water allocation decisions in large irrigation districts

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  • Kaune, Alexander
  • Werner, Micha
  • Rodríguez, Erasmo
  • Karimi, Poolad
  • de Fraiture, Charlotte

Abstract

Hydrological information on water availability and demand is vital for sound water allocation decisions in irrigation districts, particularly in times of water scarcity. However, water allocation decisions are often taken based on uncertain hydrological information, which may lead to sub-optimal decisions and agricultural production loss. This study aims to assess the availability of hydrological information in large irrigated areas (>250km2) and evaluate water allocation decisions being taken. An index tool that measures the level of availability of hydrological information in irrigation districts that is used in planning and operation was developed. The index is calculated based on a compound that considers the period of record, temporal and spatial resolution of the data. Contingency tables that compare the observed discharge in water extraction sites, supply in the main canals, and irrigation demand estimates, were generated allowing the rate of occurrence of sub-optimal water allocation decisions to be determined. Through this method, excellent index results were found for an irrigation district in Australia (Murrumbidgee district), while irrigation districts in Colombia (Coello district) and Costa Rica (DRAT district) showed fair to poor information availability, which correspond to a higher rate of occurrence of sub-optimal water allocation decisions. The results imply that the use of additional hydrological information is beneficial in reducing the rate of occurrence of sub-optimal water allocation decisions, ultimately contributing to higher crop yields.

Suggested Citation

  • Kaune, Alexander & Werner, Micha & Rodríguez, Erasmo & Karimi, Poolad & de Fraiture, Charlotte, 2017. "A novel tool to assess available hydrological information and the occurrence of sub-optimal water allocation decisions in large irrigation districts," Agricultural Water Management, Elsevier, vol. 191(C), pages 229-238.
  • Handle: RePEc:eee:agiwat:v:191:y:2017:i:c:p:229-238
    DOI: 10.1016/j.agwat.2017.06.013
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    References listed on IDEAS

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    1. Connor, Jeffery D. & Kandulu, John M. & Bark, Rosalind H., 2014. "Irrigation revenue loss in Murray–Darling Basin drought: An econometric assessment," Agricultural Water Management, Elsevier, vol. 145(C), pages 163-170.
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    1. Alexander Kaune & Patricia López & Anouk Gevaert & Ted Veldkamp & Micha Werner & Charlotte Fraiture, 2020. "The Benefit of Using an Ensemble of Global Hydrological Models in Surface Water Availability for Irrigation Area Planning," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(7), pages 2221-2240, May.
    2. Danyang Di & Zening Wu & Huiliang Wang & Cuimei Lv, 2020. "A Double-Layer Dynamic Differential Game Model for the Optimal Trading Quantity of Water and Price Setting in Water Rights Transactions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(1), pages 245-262, January.
    3. Kathleen Vazquez & Rachata Muneepeerakul, 2021. "Modeling Resilience and Sustainability of Water-Subsidized Systems: An Example from Northwest Costa Rica," Sustainability, MDPI, vol. 13(4), pages 1-14, February.

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