Modelling Irrigation Water Management under Water Shortage and Salinity Conditions: 1- Evaluation of The Current Irrigation and Drainage Management Practices in South Kazakhstan | ||||
| Alexandria Science Exchange Journal | ||||
| Article 3, Volume 30, JULY- SEPTEMBER - Serial Number 3, September 2009, Page 350-371 PDF (1.78 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/asejaiqjsae.2009.3249 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Abdulaziz A. M.1; Saleh M.1; Robin Wardlaw2 | ||||
| 1Alfateh University, Faculty of Agriculture, Soil and Water Department, PO Box 13019, Tripoli, Libya, | ||||
| 2Institute for Infrastructure and Environment, School of Engineering and Electronics, University of Edinburgh, AGB Building, King’s Buildings, Mayfield Rd., Edinburgh, EH9 3JL | ||||
| Abstract | ||||
| The WAVE model was modified to include the effect of salinity on crop transpiration, and used to simulate soil water balances, to investigate long-term salinity build-up in the root zone, and in conjunction with a crop yield response model to assess their effect on crop yield. The WAVE_MS model has been applied to evaluate current irrigation and drainage practices in South Kazakhstan. According to the results of simulation runs, cotton yield in the area would be reduced to a very low level within 25 years if irrigation and drainage practices are not changed. Inadequacy in water applications and increasing soil salinity are brining about this reduction. For the problem considered in this study, the WAVE_MS model, along with the crop yield response model, can be used as a tool for assessing the impact of different irrigation and drainage scenarios on crop yield. The results demonstrate that the modelling approach is robust and applicable under arid and semi-arid conditions and to a wide range of water shortage and salinity conditions. | ||||
| Keywords | ||||
| Keywords: water management; salinity; mathematical modelling | ||||
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