Towards a performance-oriented management for large-scale irrigation systems: case study, Rahad scheme, Sudan
The underperformance problem of large-scale irrigation systems particularly in developing countries, has adversely affected levels of production of those systems. The fact that these irrigation systems are not managed in response to their performance has been identified as the main reason behind the...
| Autores principales: | , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Wiley
2011
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/40428 |
| _version_ | 1855540971945590784 |
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| author | Hamid, S.H. Mohamed, A.A. Mohamed, Yasir Abbas |
| author_browse | Hamid, S.H. Mohamed, A.A. Mohamed, Yasir Abbas |
| author_facet | Hamid, S.H. Mohamed, A.A. Mohamed, Yasir Abbas |
| author_sort | Hamid, S.H. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The underperformance problem of large-scale irrigation systems particularly in developing countries, has adversely affected levels of production of those systems. The fact that these irrigation systems are not managed in response to their performance has been identified as the main reason behind their malfunctioning. A performance-oriented management approach is demonstrated here to help irrigation system managers take the right decisions, through continuous in-season performance assessment. The Advanced Very High Resolution Radiometer satellite images of the National Oceanic and Atmospheric Administration (NOAA-AVHRR) for the year 2000, complemented by water release data, were used to assess the performance of the Rahad irrigation scheme, Sudan (126 000 ha), on a 10-day time step. The Surface Energy Balance Algorithm (SEBAL) was used to process the NOAA-AVHRR images. The decisions on irrigation water allocation are guided by maps of the relative water supply and soil moisture content generated for the last time step. Further decision support could be realized using the performance indicators of the system and the soil water balance for the given time step. A semiautomatic computer program was developed which can be easily used by field staff to support their management decisions. It is anticipated that the application of such an approach will improve the performance of large-scale irrigation systems, and support development of a performance-oriented management culture among the staff of these irrigation systems. |
| format | Journal Article |
| id | CGSpace40428 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2011 |
| publishDateRange | 2011 |
| publishDateSort | 2011 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | CGSpace404282025-06-17T08:24:21Z Towards a performance-oriented management for large-scale irrigation systems: case study, Rahad scheme, Sudan Hamid, S.H. Mohamed, A.A. Mohamed, Yasir Abbas irrigation systems canals performance indexes decision making water allocation computer software remote sensing The underperformance problem of large-scale irrigation systems particularly in developing countries, has adversely affected levels of production of those systems. The fact that these irrigation systems are not managed in response to their performance has been identified as the main reason behind their malfunctioning. A performance-oriented management approach is demonstrated here to help irrigation system managers take the right decisions, through continuous in-season performance assessment. The Advanced Very High Resolution Radiometer satellite images of the National Oceanic and Atmospheric Administration (NOAA-AVHRR) for the year 2000, complemented by water release data, were used to assess the performance of the Rahad irrigation scheme, Sudan (126 000 ha), on a 10-day time step. The Surface Energy Balance Algorithm (SEBAL) was used to process the NOAA-AVHRR images. The decisions on irrigation water allocation are guided by maps of the relative water supply and soil moisture content generated for the last time step. Further decision support could be realized using the performance indicators of the system and the soil water balance for the given time step. A semiautomatic computer program was developed which can be easily used by field staff to support their management decisions. It is anticipated that the application of such an approach will improve the performance of large-scale irrigation systems, and support development of a performance-oriented management culture among the staff of these irrigation systems. 2011-02 2014-06-13T14:47:39Z 2014-06-13T14:47:39Z Journal Article https://hdl.handle.net/10568/40428 en Limited Access Wiley Hamid, S. H.; Mohamed, A. A.; Mohamed, Yasir Abbas. 2011. Towards a performance-oriented management for large-scale irrigation systems: case study, Rahad scheme, Sudan. Irrigation and Drainage, 60(1):20-34. doi: https://doi.org/10.1002/ird.546 |
| spellingShingle | irrigation systems canals performance indexes decision making water allocation computer software remote sensing Hamid, S.H. Mohamed, A.A. Mohamed, Yasir Abbas Towards a performance-oriented management for large-scale irrigation systems: case study, Rahad scheme, Sudan |
| title | Towards a performance-oriented management for large-scale irrigation systems: case study, Rahad scheme, Sudan |
| title_full | Towards a performance-oriented management for large-scale irrigation systems: case study, Rahad scheme, Sudan |
| title_fullStr | Towards a performance-oriented management for large-scale irrigation systems: case study, Rahad scheme, Sudan |
| title_full_unstemmed | Towards a performance-oriented management for large-scale irrigation systems: case study, Rahad scheme, Sudan |
| title_short | Towards a performance-oriented management for large-scale irrigation systems: case study, Rahad scheme, Sudan |
| title_sort | towards a performance oriented management for large scale irrigation systems case study rahad scheme sudan |
| topic | irrigation systems canals performance indexes decision making water allocation computer software remote sensing |
| url | https://hdl.handle.net/10568/40428 |
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