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Water management options for rice cultivation in a temperate area: A multi-objective model to explore economic and water saving results

  • Federica Monaco
  • , Guido Sali
  • , Manel Ben Hassen
  • , Arianna Facchi
  • , Marco Romani
  • , Giampiero Valè

Research output: Contribution to journalArticlepeer-review

Abstract

Due to the changing climatic and environmental conditions, modifications in agricultural and water policies have been made, and irrigated agriculture has to face the challenge of making a rational and optimal use of the water resource effectively available. This urges rice farming, strongly and traditionally linked to water, to change the modalities for the use of the resource. If on one hand water saving techniques should be preferred, a different water management in paddy fields may lead to lower yields and higher production costs, with consequent repercussions on farm incomes. The paper recognizes the disagreement between environmental and economic concerns and aims at contributing to the discussion about how to reconcile them by adopting alternative irrigation strategies. From this perspective, a multi-objective linear optimization model is used to explore the trade-offs between conflicting objectives in a rice-growing area in Northern Italy. The model returns the optimal allocation of land subject to three different irrigation strategies, as those previously performed in experimental fields; in addition, a scenario analysis is run to simulate reduced resource availability. Results demonstrate the key role of prioritizing one objective over the other, while introducing cultivars more suitable for dry cultivation enables enlarging the frontier of optimal solutions.

Original languageEnglish
Article number336
JournalWater (Switzerland)
Volume8
Issue number8
DOIs
Publication statusPublished - 8 Aug 2016
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation

Keywords

  • Irrigation water
  • Italy
  • Linear programming
  • Multi-objective optimization models
  • Rice-cultivation
  • Water saving

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