Combined simulation and optimization framework for irrigation scheduling in agriculture fields
| Autor: | Gema Rodrigo, Daniel Fernàndez-Garcia, Mireia Fontanet, Francesc Ferrer, Josep Maria Villar |
|---|---|
| Přispěvatelé: | Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental, Universitat Politècnica de Catalunya. GHS - Grup d'Hidrologia Subterrània |
| Rok vydání: | 2021 |
| Předmět: |
0106 biological sciences
Irrigation -- Management -- Mathematical models Irrigation 0208 environmental biotechnology Soil Science Growing season Context (language use) 02 engineering and technology Agricultural engineering 01 natural sciences Water scarcity Regatge -- Optimització matemàtica Enginyeria civil::Enginyeria hidràulica marítima i sanitària::Canals i regadius [Àrees temàtiques de la UPC] Water content Water Science and Technology business.industry Crop yield Irrigation scheduling 04 agricultural and veterinary sciences 020801 environmental engineering Agriculture 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Environmental science business Agronomy and Crop Science 010606 plant biology & botany |
| Zdroj: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) Repositorio Abierto de la UdL Universitad de Lleida |
| ISSN: | 1432-1319 0342-7188 1607-7938 |
| DOI: | 10.1007/s00271-021-00746-y |
| Popis: | In the context of growing evidence of climate change and the fact that agriculture uses about 70% of all the water available for irrigation in semi-arid areas, there is an increasing probability of water scarcity scenarios. Water irrigation optimization is, therefore, one of the main goals of researchers and stakeholders involved in irrigated agriculture. Irrigation scheduling is often conducted based on simple water requirement calculations without accounting for the strong link between water movement in the root zone, soil–water–crop productivity and irrigation expenses. In this work, we present a combined simulation and optimization framework aimed at estimating irrigation parameters that maximize the crop net margin. The simulation component couples the movement of water in a variably saturated porous media driven by irrigation with crop water uptake and crop yields. The optimization component assures maximum gain with minimum cost of crop production during a growing season. An application of the method demonstrates that an optimal solution exists and substantially differs from traditional methods. In contrast to traditional methods, results show that the optimal irrigation scheduling solution prevents water logging and provides a more constant value of water content during the entire growing season within the root zone. As a result, in this case, the crop net margin cost exhibits a substantial increase with respect to the traditional method. The optimal irrigation scheduling solution is also shown to strongly depend on the particular soil hydraulic properties of the given field site. We thank to our colleagues from Aigües Segarra Garrigues (ASG) company for sharing some of the data necessary to conduct this work and also to Doctorats Industrials to fund the project where this work is involved. |
| Databáze: | OpenAIRE |
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