The Cisangkuy river basin located in the south of Bandung Metropolitan has been suffering from serious water scarcity, river pollution, and flood damage due to rapid increase in population and industrialization in the Bandung Metropolitan and surrounding upstream area. In order to solve these complicated water management issues, it needs to implement innovative measures for integrated basin water management. As part of these efforts, a cooperative research project between Indonesia and Korea has initiated to develop smart water management system in the Cisangkuy river basin. This paper deals with the spatial-temporal water balance analysis and shows the results of effect analysis with regard to structural measures and nonstructural measures. As the result of analysis, the power generation capacity and water supply safety are improved by 1.4~2.7% and 0.8~1.2%, and water shortage is decreased from 223 days to 190 days in case of the implementation of non-structural measures. It shows that new operation rule will contribute not only for securing additional water through the implementation of non-structural measures but also improvement of water facilities management efficiency. In case of applying the planned intake (3.3 m3/s) under current water supply system, water supply safety was decreased by 8.3% (92.3→84.0) at the Cikalong Intake and decreased by 12.5% (75.3→62.8) at the Pataruman gauge station in the Cisangkuy river (Q95% condition) respectively in comparison with present intake condition. It indicates that additional water supply is necessary to meet the increased water demand. Alos according to the evaluation on the effect of new Cikalong dam, consistent water supply (0.35 m 3 /s) is possible at Cikalong intake station. However, water supply safety at Pataruman for river maintenance flow and Ciherang irrigation water were decreased by 2.4~4%.
Hydrodynamic flow patterns and behavior induced by bubble plumes in a linearly stratified fluid are studied. To optimize an air-diffuser destratification system, we used computational fluid dynamics software to develop a two-phase (air-water) destratification model. The model enables us to simulate complicated stratification conditions with different densities and source strengths. We conducted laboratory experiments to verify the model in thermally stratified fresh water. The computational fluid dynamics model performs well when the plume number ranges from 30 to 600. We successfully explain various phenomena, including the hydrodynamic behavior of bubble plumes and turbulent three dimension flow patterns. Our approach provides a level of detail not possible with other one-dimensional plume models. Contrary to the findings of other researchers, our experiments and computational fluid dynamics simulation indicate that the energy conversion efficiency increases as plume number increases; moreover, the three flow types do not occur in the same plume number regimes defined in other research. The difference is apparently due to the effect of the bubble size.
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