Irrigation technology choices under hydrologic uncertainty: a case study from Maipo River Basin, Chile
The effect of hydrologic uncertainty on field irrigation technology (FIT) choices is studied within this paper. A two‐stage stochastic programming model (SPM) is developed to incorporate hydrologic uncertainties related to both water requirements and water availability through a probabilistic scenar...
| Main Authors: | , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
American Geophysical Union
2004
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/157600 |
| _version_ | 1855533711566569472 |
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| author | Cai, Ximing Rosegrant, Mark W. |
| author_browse | Cai, Ximing Rosegrant, Mark W. |
| author_facet | Cai, Ximing Rosegrant, Mark W. |
| author_sort | Cai, Ximing |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The effect of hydrologic uncertainty on field irrigation technology (FIT) choices is studied within this paper. A two‐stage stochastic programming model (SPM) is developed to incorporate hydrologic uncertainties related to both water requirements and water availability through a probabilistic scenario‐based approach. The SPM can provide a mechanism with which model solutions can be adjusted to account for variations in water availability and water requirements. Moreover, the two‐stage decision process is combined with risk aversion analysis in field irrigation choices, which helps balance the risk of profit loss in dry years and the risk of excess capital cost in wet years. The model can be used to generate decision information to individual farmers or farmer associations, regarding long‐term field irrigation technology choices and crop pattern planning and short‐term water allocation among crops under specific hydrologic scenarios. The model is applied to an irrigation district in the Maipo River Basin, Chile. It is found that higher levels of FIT are more profitable for higher‐valued crops and decisions on FIT choices for low‐valued crops are less sensitive to hydrologic uncertainties. The annualized capital cost per hectare in the district should be within in range of US$105–130, which is a range for tradeoff analysis between maximizing the expected profit and minimizing the risk of profit loss under drought conditions. |
| format | Journal Article |
| id | CGSpace157600 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2004 |
| publishDateRange | 2004 |
| publishDateSort | 2004 |
| publisher | American Geophysical Union |
| publisherStr | American Geophysical Union |
| record_format | dspace |
| spelling | CGSpace1576002025-04-08T18:26:21Z Irrigation technology choices under hydrologic uncertainty: a case study from Maipo River Basin, Chile Cai, Ximing Rosegrant, Mark W. irrigation methods hydrology technology case studies The effect of hydrologic uncertainty on field irrigation technology (FIT) choices is studied within this paper. A two‐stage stochastic programming model (SPM) is developed to incorporate hydrologic uncertainties related to both water requirements and water availability through a probabilistic scenario‐based approach. The SPM can provide a mechanism with which model solutions can be adjusted to account for variations in water availability and water requirements. Moreover, the two‐stage decision process is combined with risk aversion analysis in field irrigation choices, which helps balance the risk of profit loss in dry years and the risk of excess capital cost in wet years. The model can be used to generate decision information to individual farmers or farmer associations, regarding long‐term field irrigation technology choices and crop pattern planning and short‐term water allocation among crops under specific hydrologic scenarios. The model is applied to an irrigation district in the Maipo River Basin, Chile. It is found that higher levels of FIT are more profitable for higher‐valued crops and decisions on FIT choices for low‐valued crops are less sensitive to hydrologic uncertainties. The annualized capital cost per hectare in the district should be within in range of US$105–130, which is a range for tradeoff analysis between maximizing the expected profit and minimizing the risk of profit loss under drought conditions. 2004-04 2024-10-24T12:50:57Z 2024-10-24T12:50:57Z Journal Article https://hdl.handle.net/10568/157600 en Limited Access American Geophysical Union Cai, Ximing; Rosegrant, Mark W. 2004. Irrigation technology choices under hydrologic uncertainty: a case study from Maipo River Basin, Chile. Water Resources Research 40(4): No. W04103. https://doi.org/10.1029/2003WR002810 |
| spellingShingle | irrigation methods hydrology technology case studies Cai, Ximing Rosegrant, Mark W. Irrigation technology choices under hydrologic uncertainty: a case study from Maipo River Basin, Chile |
| title | Irrigation technology choices under hydrologic uncertainty: a case study from Maipo River Basin, Chile |
| title_full | Irrigation technology choices under hydrologic uncertainty: a case study from Maipo River Basin, Chile |
| title_fullStr | Irrigation technology choices under hydrologic uncertainty: a case study from Maipo River Basin, Chile |
| title_full_unstemmed | Irrigation technology choices under hydrologic uncertainty: a case study from Maipo River Basin, Chile |
| title_short | Irrigation technology choices under hydrologic uncertainty: a case study from Maipo River Basin, Chile |
| title_sort | irrigation technology choices under hydrologic uncertainty a case study from maipo river basin chile |
| topic | irrigation methods hydrology technology case studies |
| url | https://hdl.handle.net/10568/157600 |
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