Photo: David Brazier/IWMI Photo :Tom van Cakenberghe/IWMI Water for a food-secure world K.Palanisami Drivers of canal irrigation performance: Use of Data and Measurement methods from Three major Projects in Tamil Nadu, India
Water for a food-secure world Fig 1:Schematic framework of methodology Performance Indices (based on review & consultation Data CollectionQuantification & analysis of IndicesLinking the indices with performance Identification of drivers of success of canal irrigation
Water for a food-secure world Fig 2. Location of the Projects Parambikulam-Aliyar Project Lower Bhavani ProjectTambraparani Project
Water for a food-secure world Performance measures and Drivers ( ) No.ParticularsPAP ( ha)LBP (83980 ha)TP ( ha) 1Performance measures 1.1% of target area irrigated Water productivity ( kg/m 3 ) Rice Sugarcane Coconut (nuts/ m 3 ) Maize Groundnut Cotton Average profit ( Rs/ha) Average profit ( Rs/m 3 ) Possible drivers 2.1Water availability( m 3 /ha) % of WD met by canal supply % of WD met by ER % of WD met by GW % area under water saving methods % of water saving using WSIT Water allocation patternTurn Conti 2.8Water availability index Ratio of rice and non-rice crops1:2.91:1.32:1 2.10Best performing WUA (% )32459 Data analysed :
Water for a food-secure world Performance of the Projects S.No.ProjectsTFP changeRemarks 1LBP DEA-Malmquist approach 2PAP TP 0.889
Water for a food-secure world TFP River Basins
Water for a food-secure world Drivers of canal irrigation performance (% area irrigated) using Generalised Linear Model ProjectVariableNature of effect LBP water allocation index Positive water availability index Positive % Area under water saving tech Negative PAP RainfallPositive Percentage canal water supplyNegative Percentage ground water supplyPositive water allocation indexNegative water availability indexPositive Percentage crop diversificationNegative Percentage Area under water saving techPositive Percentage O&M staff increasePositive TP Percentage ground water supplyPositive water allocation indexNegative water availability indexNegative Percentage crop diversificationPositive Percentage Active WUAPositive Percentage O&M staff increasePositive
Water for a food-secure world Possible Follow ups Selection of the region/state Collection of data for all the M&M projects Derive various indicators Run the models Identify and rank the key drivers
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