Multi attribute utility theory for irrigation system evaluation

Abstract

Multi Attribute Utility Theory (MAUT) is employed to rank the irrigation subsystems of Mahi Bajaj Sagar Project, Rajasthan, India. Seven performance evaluation criteria, namely, land development works, timely supply of inputs, conjunctive use of water resources, participation of farmers, economic impact, crop productivity and environmental conservation are employed. Kohonen Artificial Neural Networks (KANN) is employed to classify the irrigation subsystems that can be utilized for further ranking by MAUT. Spearman rank correlation technique is employed to compute correlation coefficient values between the obtained ranking pattern. Sensitivity analysis studies are also made to check the robustness in ranking. The proposed methodology can be applied for similar situations.

A scenario-based MCDA framework for wastewater infrastructure planning under uncertainty

“…However, it entails eliciting additional parameters, which has rarely been done in practice (but see e.g. Langhans and Lienert, 2016;Raju and Vasan, 2007). Cobb-Douglas aggregation does not require additional parameters; we chose this due to time limits (Cobb and Douglas, 1928).…”

The Objectives and Priorities for the Azorean Dairy Farmers’ Decisions

“…Other works that followed with the application in water management in agriculture, reconciling economic and environmental goals, were the ones of Zekri and Romero (1993), Heilman et al (1997), Carvalho (2006), Raju and Vasan (2007), and Zhang et al (2007). However, the planning of the agricultural systems and land use, in order to coordinate multi-sectorial goals, has been the main target of the study by Bartlett and Clawson (1978), Shakya and Leuschner (1990), Antoine et al (1997), Dunn et al (1998), Thankappan et al (2006), and Silvestri et al (2007), while Mardle et al (2000) have been dedicated to the management of fish activity and Diaz-Balteiro and Romero (2004b) applied the goal programming for the development of a plan for a sustainable forest management.…”

Fuzzy Data Envelopment Analysis for Performance Evaluation of an Irrigation System

“…These irrigation subsystems are evaluated based on seven indicators (Bos, 1997;Raju and Pillai, 1999;Vasan, 2005;Raju and Vasan, 2007), namely land development works (LDW) which includes evaluation of land levelling, land shaping and consolidation of holdings which also depends on the original status of the land and crops grown; timely supply of inputs (TSI) which requires farmers' knowledge of the technology, developments in irrigated agriculture, timely supply of inputs such as seeds, fertilizers and other resources; conjunctive use of water resources (CUW) are essential to provide a more reliable supply of water to crops when needed. This also reduces waterlogging effects, if any; participation of farmers (PF) for specific assigned tasks is essential for the optimum utilization of resources, which determines the success of an irrigation project; economic impact (EI) is assessed by the economic status of the individual farmer or group of farmers; crop productivity (CPR) can be assessed by determining the yield of the crop in the command area; environmental conservation (EC) issues analysed after introduction of irrigation facilities are groundwater table and salinity level.…”