Showing 2 results for M. J. Monem
M. J. Monem, M. R. Alirezaee, E. Salehi,
Volume 6, Issue 4 (winter 2003)
Abstract
Recent studies have shown poor performance of irrigation systems, which indicates the requirement for special attention to performance improvement. The first step for improving the performance of irrigation systems is evaluation of the present situation. Performance evaluation methodologies presented so far are either qualitative such as DA (Diagnostic Analysis), RA (Rapid Appraisal) and FA (Framework Appraisal), or they are similar to classical methods even if they produce quantitative indicators. They fail to introduce performance standards. In this study, using Data Envelopment Analysis (DEA), which is a quantitative method and produces realistic standards, 8 irrigation systems were evaluated and their performances were determined. With respect to the number of decision-making units, inputs, outputs, and corresponding returns to scale for irrigation systems, a suitable DEA model was selected. Capabilities of DEA allow for separate treatment of performance evaluation of overall irrigation network and its operating company. This feature is implemented using different technical and operational indicators.
The results indicated that Zayandeh Rood irrigation system, among the 8 irrigation systems, has the highest technical efficiency. Minab and Varamin systems have the lowest technical efficiencies. Golestan and Behbahan Networks perform well, although their operating companies are inefficient. Garmsar, Ghazvin, and Moghan systems, although not inefficient, have some improvement potentials. In general, with respect to the capabilities of DEA in performance evaluation of irrigation systems and indicating appropriate standard, it can be concluded that this technique is quite efficient and successful for performance evaluation and improvement of irrigation systems.
M. J. Monem , S. P. Ahmadpanah1 ,
Volume 16, Issue 61 (fall 2012)
Abstract
There are different automatic downstream control algorithms developed to increase the flexibility of the irrigation system. CARDD control logic is one of the heuristic and distance automatic downstream control systems. In this research, mathematical model of the CARDD control logic coordinated with ICSS hydrodynamic model was developed and the CARDD control logic was tested and evaluated under different situations. In order to evaluate the performance of this control algorithm, one of the canals suggested by ASCE (canal number 2) was used. The CARDD control algorithm was tested under the operational scenarios suggested by ASCE in which the control algorithm was evaluated by intense and gradual flow changes in a newly constructed (tuned) canal. Performance indicators were calculated and analysed. In the case of gradual flow changes, the maximum diversion of the water depth from the target was about 5% and was always in permitted range. In intense flow changes, the maximum diversion of the water depth from the target was about 8% and it was recovered in about 1 hour, which is a considerable time. The charts showing the variation of water depth at each turnout and the calculated performance indicators showed the satisfactory performance of CARDD control algorithm in gradual flow changes. In intense flow changes, although the maximum variation of the water depth was limited, the system response time was relatively long.
