Abstract: Vortex rings are ubiquitous in nature as well in man-made devices such as starting jets and synthetic jets. Recently, useful applications of such flow structures in industry have been proposed that involve motion of vortex rings over an axially placed rod. Although free vortex rings are quite stable and propagate for long distances without disintegrating, the scenario is modified to a great extent in presence of such an interacting body. Thus, in the present study, we study their properties and robustness of vortex rings produced from an orifice, with an axial rod aligned symmetrically with respect to its direction of propagation. We find the effect of such vortex body interaction, with the help of flow visualizations, which reveals the extent of their sustainability under the given conditions.

• Publication Date: 05-May-2013
• DOI: 10.15224/978-981-07-6261-2-92
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Abstract: Ongoing needs to achieve the best accuracy of flood forecasting has stimulate this study to investigates the potential of two data driven model, where their application are relatively new in hydrology problems. The approaches studied here are K-Nearest Neighbours (KNN) and Multivariate Adaptive Regression Splines (MARS). To analyze and compares the performance of these two approaches in flood prediction, Pahang River in Malaysia has been selected as area of study. 30-years historical data set of daily rainfall and runoff at upstream tributaries of Pahang River were used to develop and validate the capability of both approaches in one-year-ahead prediction of flood discharge. The effect of different length of record data to the performance of models was also examined. Simulation results showed that longer period data can provide significant improvement to the performance of both approaches. However, satisfactory result of flood prediction only appeared superior for MARS model.

• Publication Date: 05-May-2013
• DOI: 10.15224/978-981-07-6261-2-91
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