Performance evaluation of an irrigation system under some optimal operating policies

Performance assessment of irrigation water management of heterogeneous irrigation schemes: 1. A framework for evaluation

“…al. (1991) Adequacy, water losses (distribution efficiency), equity, cost (annual operating cost of system per unit area), water users convenience and durability Kaushal et al (1992) productivity, equity and adequacy Mujumdar and Vedula (1992) reliability (matching water release from the reservoir in particular period with total irrigation requirement of all the crops in that period), resiliency (likelihood of the system recovery from a failure once a failure occurs) and productivity Bos et al (1994) water supply performance (conveyance indicators, maintenance indicators, utility of water supplied, and equity), agricultural performance (area indicators and production indicators) and economic, social and environmental performance (economic viability, social viability and environmental sustainability and drainage) Purkey and Wallender (1994) water supply and deliveries, water conveyance, on-farm irrigation and the environmental sustainability Meinzen-Dick (1995) timeliness of irrigation (cumulative deficit in water deliveries over the crop season and cumulative excess in water deliveries over the crop season) Oad and Sampath (1995) adequacy, dependability (reliability and predictability) and the equity Kalu et al (1995) productivity (agronomic efficiency-the total quantity of crop production under irrigated agriculture and economic efficiencythe total net benefits) and equity Makadho (1996) adequacy, equity and timeliness Small and Rimal (1996) productivity (conveyance efficiency, physical productivity of water, physical productivity of land, economic productivity of water) and equity 50 Bos (1997) 40 multidisciplinary performance indicators, which cover water delivery, water use efficiency, maintenance, sustainability of irrigation, environmental aspects, socio-economics and management Sarma and Rao (1997) water supply-requirement ratio, irrigation intensity, crop productivity and change in cropping pattern Makombe et al (1998) deviation of actual water supply from the desired supply as measured by the crop water requirement adjusted with the effective rainfall (how accurately the water management system is achieving the desired supply). Plusquellec et al (1990) Cropping intensity, yield and project economic rate of return Steiner and Walter (1993) Relative yield (per cent of potential yield) Bos et al (1994) Area indicators (irrigated area performance as the ratio of actual area irrigated to target area and cropping intensity per...…”

“…They assumed the target flows as demand equal to weekly crop water requirement. Marikar et al (1992) Matched the supplied and required quantity of water to the fields by Theil's mean forecast error concept Mujumdar and Vedula (1992) Used reliability as equalling the water release from the reservoir to total irrigation requirements of all crops in that period. Purkey and Wallender (1994) 'Delivery performance' which is the ratio of water delivered to contractors to total contractual obligations.…”

Rehabilitation of operation regimes in aged irrigation schemes based on hydraulic simulation

“…Features of performance indicators have been introduced and analyzed in various research. Maintenance indicators (Bos et al 1994), Stability (Chambers 1988), durability (El-Awad et al 1991, reliability and predictability (Makin et al 1991;Oad & Sampath 1995), water availability (Plusquellec et al 1990), profitability (Abernethy 1989), resiliency (Mujumdar & Vedula 1992), timeliness of irrigation (Meinzen-Dick 1995;Makadho 1996), irrigation intensity (Sarma & Rao 1997) and regularity (Lenton 1984) have been studied. The necessity of determining optimal plans for water delivery and distribution in irrigation networks has attracted the attention of many researchers.…”

Uncertainty Quantification in Water Resource Systems Modeling: Case Studies from India

“…Addressing these uncertainties is very important for precise decision making and to avoid the failure of water resource system management [16]. The inclusion of uncertainties of reservoir inflows in the water resource systems models was one of the basic studies and have implemented by several researchers by considering inflow as stochastic variable [28]. The next prevailing uncertainty in reservoir operation is imprecise goals of the users, which has been conventionally addressed using fuzzy set theory [29].…”