Multiperiod Optimisation of Irrigated Crops under Different Conditions of Water Availability
We propose a nonlinear optimisation model which maximises profits by resource allocation on a monthly time scale, considering a monthly crop yield model. The proposed model was applied to six management scenarios (two seasonal and four monthly), nine conditions of water availability, and two situati...
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doaj-bcad2f3cd3e04309bf6f5790447a21c22020-11-25T01:32:30ZengMDPI AGWater2073-44412018-10-011010143410.3390/w10101434w10101434Multiperiod Optimisation of Irrigated Crops under Different Conditions of Water AvailabilityMathias Kuschel-Otárola0Diego Rivera1Eduardo Holzapfel2Cristian D. Palma3Alex Godoy-Faúndez4Department of Water Resources, School of Agricultural Engineering, University of Concepción, Chillán 3812120, ChileDepartment of Water Resources, School of Agricultural Engineering, University of Concepción, Chillán 3812120, ChileDepartment of Water Resources, School of Agricultural Engineering, University of Concepción, Chillán 3812120, ChileCentro de Sustentabilidad y Gestión Estratégica de Recursos (CiSGER), Facultad de Ingeniería, Universidad del Desarrollo, 4040418 Concepción, ChileWater Research Center for Agriculture and Mining (CRHIAM), CONICYT/FONDAP-15130015, Chillán 3812120, ChileWe propose a nonlinear optimisation model which maximises profits by resource allocation on a monthly time scale, considering a monthly crop yield model. The proposed model was applied to six management scenarios (two seasonal and four monthly), nine conditions of water availability, and two situations of resource availability under Chilean conditions. These situations provided the same seasonal amount of resources, but different distributions over time. The model included improvements in water resource management such as water storage and water transactions, being the latter a monthly decision variable that can increase farmers’ profits. According to our results, monthly scenarios gave high profits, even better with appropriate resource distribution. When water costs are high, water transactions allow loss reduction of up to 50%. Regarding labour, the lack of availability is more critical than the wages.http://www.mdpi.com/2073-4441/10/10/1434crop yieldwater allocationmultiperiod optimisationwater transactionswater storage |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mathias Kuschel-Otárola Diego Rivera Eduardo Holzapfel Cristian D. Palma Alex Godoy-Faúndez |
spellingShingle |
Mathias Kuschel-Otárola Diego Rivera Eduardo Holzapfel Cristian D. Palma Alex Godoy-Faúndez Multiperiod Optimisation of Irrigated Crops under Different Conditions of Water Availability Water crop yield water allocation multiperiod optimisation water transactions water storage |
author_facet |
Mathias Kuschel-Otárola Diego Rivera Eduardo Holzapfel Cristian D. Palma Alex Godoy-Faúndez |
author_sort |
Mathias Kuschel-Otárola |
title |
Multiperiod Optimisation of Irrigated Crops under Different Conditions of Water Availability |
title_short |
Multiperiod Optimisation of Irrigated Crops under Different Conditions of Water Availability |
title_full |
Multiperiod Optimisation of Irrigated Crops under Different Conditions of Water Availability |
title_fullStr |
Multiperiod Optimisation of Irrigated Crops under Different Conditions of Water Availability |
title_full_unstemmed |
Multiperiod Optimisation of Irrigated Crops under Different Conditions of Water Availability |
title_sort |
multiperiod optimisation of irrigated crops under different conditions of water availability |
publisher |
MDPI AG |
series |
Water |
issn |
2073-4441 |
publishDate |
2018-10-01 |
description |
We propose a nonlinear optimisation model which maximises profits by resource allocation on a monthly time scale, considering a monthly crop yield model. The proposed model was applied to six management scenarios (two seasonal and four monthly), nine conditions of water availability, and two situations of resource availability under Chilean conditions. These situations provided the same seasonal amount of resources, but different distributions over time. The model included improvements in water resource management such as water storage and water transactions, being the latter a monthly decision variable that can increase farmers’ profits. According to our results, monthly scenarios gave high profits, even better with appropriate resource distribution. When water costs are high, water transactions allow loss reduction of up to 50%. Regarding labour, the lack of availability is more critical than the wages. |
topic |
crop yield water allocation multiperiod optimisation water transactions water storage |
url |
http://www.mdpi.com/2073-4441/10/10/1434 |
work_keys_str_mv |
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