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The Mahaweli Authority of Sri Lanka (MASL) is responsible for planning the water allocation across five major River systems in Sri Lanka. This includes providing water to the 15 major hydro plants and over 32 irrigation areas. MASL has been using computer models since the1980’s to meet the various water demands over the entire system and establish...
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Context 1
... Mahaweli River is the largest waterway in the country, originating in the high mountains near the city of Nuwara Eliya, and flowing north and east through a set of diversions while providing water to most hydroplants as well as to over 30 irrigation areas in the lower regions. This is illustrated in Figure 1 below. The water management is multi-objective, i.e., with a primary consideration for providing sufficient water for agriculture while maximizing hydro generation. ...
Context 2
... MASL is mostly concerned with the dry years, the average expected trajectory as well as dry 80% probability of exceedance are typically reported. This is illustrated in Figure 9: Similarly results can be obtained for calculating the energy mix and the contribution from the various hydro, thermal and independent plants, where more hydro power generation can be expected during wet years, and vice versa for the dry years ( Figure 10). ...
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... selected stations and their locations in the basin are shown in Figure 11. Fig. 11. ...
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Citations
... Recently, it has been discovered that a new water resource development project has a low probability of success due to its high cost and environmental effect. As a result, the management of existing water resources was adjusted in order to achieve more efficient operations [16,17]. The decision support system (DSS) is one of the solutions for the management of existing reservoirs that have been actioned and is highly beneficial at the moment. ...
The aim of this research was to identify optimal choices in decision support systems for network reservoirs by using optimal rule curves under four scenarios related to water scarcity and overflow situations. These scenarios were normal water shortage, high water shortage, normal overflow and high overflow situations. The application of various optimization techniques, including Harris Hawks Optimization (HHO), Genetic Algorithm (GA), Wind-Driven Optimization (WDO) and the Marine Predator Algorithm (MPA), in conjunction with a reservoir simulation model, was conducted to produce alternative choices, leading to suitable decision-making options. The Bhumibol and Sirikit reservoirs, situated in Thailand, were selected as the case study for the network reservoir system. The objective functions for the search procedure were the minimal average water shortage per year, the minimal maximum water shortage and the minimal average water spill per year in relation to the main purpose of the reservoir system using the release criteria of the standard operating policy (SOP) and the hedging rule (HR). The best options of each scenario were chosen from 152 options of feasible solutions. The obtained results from the assessment of the effectiveness of alternative choices showed that the best option for normal water scarcity was the rule curve with the objective function of minimal average water shortage per year, using HR and recommended SOP for operation, whereas the best option for high-water shortage situation was the rule curves with objective function of minimal of maximum water shortage using HR and recommended HR for operation. For overflow situation, the best option for normal overflow situation was the rule curves with objective function of minimal average water spill per year using HR and the recommended SOP for operation, whereas the best option for the high overflow situation was the rule curve with the objective function of minimal average water spill per year using HR and the recommended HR for operation. When using the best curves according to the situation, this would result in a minimum water shortage of 153.789 MCM/year, the lowest maximum water shortage of 1338.00 MCM/year, minimum overflow of 978.404 MCM/year and the lowest maximum overflow of 7214.00 MCM/year. Finally, the obtained findings from this study would offer reliability and resiliency information for decision making in reservoir operation for the multi-reservoir system in the upper region of Thailand.
