Spatializing the results of a bioeconomic model on water demand for irrigation needs

Spatialisation de la demande en eau d’irrigation estimée par un modèle bioéconomique

Pierre-Alain Jayet, Delphine Barberis, Pierre Humblot (pierre.humblot@inra.fr) and Anna Lungarska
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Delphine Barberis: ECO-PUB - Economie Publique - INRA - Institut National de la Recherche Agronomique - AgroParisTech
Pierre Humblot: ECO-PUB - Economie Publique - INRA - Institut National de la Recherche Agronomique - AgroParisTech

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Abstract: Present pressures on the water resource and the potential threat of climate change should strongly impact water availability and, consequently, irrigation demand. In order to help public decision-makers, we develop an approach where water is modeled as an input, and assess water demand in France. The method combines the economic model AROPAj, the STICS crop model, and the generation of high-resolution maps. As an illustration of the possible outputs of our modeling approach, we propose an application based on the spatial analysis of irrigation demand and regional disparities. This study reveals highly irrigated areas in the west and south-east of France, explained by the establishment of water-intensive crops like maize and sunflower. More importantly, it highlights the model capacity to enlighten the complex linkage between climate change and the demand for irrigation water even in regions where crops are not strongly water-intensive.

Date: 2018
Note: View the original document on HAL open archive server: https://hal.inrae.fr/hal-02617894v1
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Published in Revue Internationale de Géomatique, 2018, 28 (4), pp.485-503. ⟨10.3166/rig.2018.00064⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-02617894

DOI: 10.3166/rig.2018.00064

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