Cropping pattern simulation-optimization model for water use efficiency and economic return
Sustainable agricultural development is one of the most important tools for the economic growth of a country. Therefore, water and land use management is considered a priority. This research aimed to develop a framework to optimize crops’ spatial and temporal distribution in an irrigation district....
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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PAGEPress Publications
2021-12-01
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| Series: | Journal of Agricultural Engineering |
| Subjects: | |
| Online Access: | https://www.agroengineering.org/index.php/jae/article/view/1197 |
| _version_ | 1818775438678294528 |
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| author | Cesar Augusto Terán-Chaves Sonia Mercedes Polo-Murcia |
| author_facet | Cesar Augusto Terán-Chaves Sonia Mercedes Polo-Murcia |
| author_sort | Cesar Augusto Terán-Chaves |
| collection | DOAJ |
| description | Sustainable agricultural development is one of the most important tools for the economic growth of a country. Therefore, water and land use management is considered a priority. This research aimed to develop a framework to optimize crops’ spatial and temporal distribution in an irrigation district. The AquaCrop- OS (FAO) water productivity model was integrated with a nonlinear optimization model to maximize the annual net profitability and minimize the water consumption of three crops (rice, corn, and forage). It was applied at a regional level to 905 simulation sub-units in the Zulia irrigation district (Colombia), in three typical climatic years’ scenarios, and at a multi-period level (monthly). The results indicated that: i) crop simulation for the study area was applicable and feasible; ii) rice can be combined with forage and corn; iii) corn is a viable option under dry year conditions; iv) under a wet year, forage production is the best option. On average, in the dry year, profitability decreased by 14.5% compared to the normal year in half of the study area, and in some areas, economic losses of up to 53% were obtained. In the wet year, profitability remained at the same level as the normal year in 43.8% of the area. However, there were significant decreases in profitability in 23.1% of the district. In the normal year, the water demand of the crops in each simulated period allows savings of up to 50% of water compared to the current concession amount, which is 1000 mm. This study is useful for making decisions on sustainable resources management and optimal irrigation water and land use under different biophysical and economic conditions. |
| first_indexed | 2024-12-18T10:57:03Z |
| format | Article |
| id | doaj.art-566573175cff415ca3f1f3ed87f445cd |
| institution | Directory Open Access Journal |
| issn | 1974-7071 2239-6268 |
| language | English |
| last_indexed | 2024-12-18T10:57:03Z |
| publishDate | 2021-12-01 |
| publisher | PAGEPress Publications |
| record_format | Article |
| series | Journal of Agricultural Engineering |
| spelling | doaj.art-566573175cff415ca3f1f3ed87f445cd2022-12-21T21:10:19ZengPAGEPress PublicationsJournal of Agricultural Engineering1974-70712239-62682021-12-0152410.4081/jae.2021.1197Cropping pattern simulation-optimization model for water use efficiency and economic returnCesar Augusto Terán-Chaves0Sonia Mercedes Polo-Murcia1Corporación Colombiana de Investigación Agropecuaria (AGROSAVIA), C.I. TibaitatáCorporación Colombiana de Investigación Agropecuaria (AGROSAVIA), C.I. TibaitatáSustainable agricultural development is one of the most important tools for the economic growth of a country. Therefore, water and land use management is considered a priority. This research aimed to develop a framework to optimize crops’ spatial and temporal distribution in an irrigation district. The AquaCrop- OS (FAO) water productivity model was integrated with a nonlinear optimization model to maximize the annual net profitability and minimize the water consumption of three crops (rice, corn, and forage). It was applied at a regional level to 905 simulation sub-units in the Zulia irrigation district (Colombia), in three typical climatic years’ scenarios, and at a multi-period level (monthly). The results indicated that: i) crop simulation for the study area was applicable and feasible; ii) rice can be combined with forage and corn; iii) corn is a viable option under dry year conditions; iv) under a wet year, forage production is the best option. On average, in the dry year, profitability decreased by 14.5% compared to the normal year in half of the study area, and in some areas, economic losses of up to 53% were obtained. In the wet year, profitability remained at the same level as the normal year in 43.8% of the area. However, there were significant decreases in profitability in 23.1% of the district. In the normal year, the water demand of the crops in each simulated period allows savings of up to 50% of water compared to the current concession amount, which is 1000 mm. This study is useful for making decisions on sustainable resources management and optimal irrigation water and land use under different biophysical and economic conditions.https://www.agroengineering.org/index.php/jae/article/view/1197AquaCrop-OSnonlinear optimizationprofitabilityspatial distributionwater availability. |
| spellingShingle | Cesar Augusto Terán-Chaves Sonia Mercedes Polo-Murcia Cropping pattern simulation-optimization model for water use efficiency and economic return Journal of Agricultural Engineering AquaCrop-OS nonlinear optimization profitability spatial distribution water availability. |
| title | Cropping pattern simulation-optimization model for water use efficiency and economic return |
| title_full | Cropping pattern simulation-optimization model for water use efficiency and economic return |
| title_fullStr | Cropping pattern simulation-optimization model for water use efficiency and economic return |
| title_full_unstemmed | Cropping pattern simulation-optimization model for water use efficiency and economic return |
| title_short | Cropping pattern simulation-optimization model for water use efficiency and economic return |
| title_sort | cropping pattern simulation optimization model for water use efficiency and economic return |
| topic | AquaCrop-OS nonlinear optimization profitability spatial distribution water availability. |
| url | https://www.agroengineering.org/index.php/jae/article/view/1197 |
| work_keys_str_mv | AT cesaraugustoteranchaves croppingpatternsimulationoptimizationmodelforwateruseefficiencyandeconomicreturn AT soniamercedespolomurcia croppingpatternsimulationoptimizationmodelforwateruseefficiencyandeconomicreturn |