Potential hazard analysis from the viewpoint of flow measurement in large open-channel junctions

Abstract

A robust and reliable risk assessment procedure for hydrological hazards deserves attention. The transport of mixed material in the types of hazard, such as flash floods and debris flows, plays an important role and should be taken into consideration. At present, however, the mixed material transport phenomenon is not systematically and simply included in the procedures for the elaboration of hazard analysis. The consequence is the risk of losing prediction accuracy and of underestimating hazard impacts. The phenomenon of open-channel junction flow such as in irrigation ditches and at wastewater treatment facilities is an important aspect of hydrological engineering. Extensive experimental studies of the flow characteristics have been conducted. In this study, an Acoustic Doppler Velocimeter is used to monitor the flow in large open-channel junctions at the Chihtan purification plant in Taipei. The condition of the experiment is made up of different discharge. The result of the measurement data shows that the mean velocity profile, aspect ratio, measured vertical line location and the ratio of the distance of the vertical line maximum velocity from the bed to water depth. An artificial neural network (ANN) is used to simulate the mean velocity profiles in this study. The results show that the ANN can accurately and reliably simulate the mean velocity profiles. The result is believed to provide hints for the consideration of the effects, induced by mixed material transport, in the elaboration of hazard analysis.

Review of Flow Hydrodynamics and Sediment Transport at Open Channel Confluences

“…Whereas, for higher confluence angles and discharge ratios, performance of 2D model was compared with experimental results and found that 2D model predictions were better when compared with 1D model. A 3D numerical model was used by Yang and Chen [82] to study separation zone and secondary circulation at confluence. They assumed fully turbulent flow in the 3D model, but the flow is transition from laminar to turbulent in the experimental study.…”

Discharge Estimation in a Lined Canal Using Information Entropy

“…The ADC measures the velocity of water using a physical principle called the Doppler effect [27,28]. The ADC consists of two transducers that operate independently of each other.…”

Hydrocarbon reservoir model detection from pressure transient data using coupled artificial neural network—Wavelet transform approach

“…Artificial Neural Network (ANN) is one of branches of the artificial intelligence methodologies which have played important roles in many scientific disciplines for replacing traditional analysis by computer aided ones [5][6][7][8]. MLP and recurrent network are among the most frequently used ANNs for interpretation and recognition of complicated pattern in various fields specially in well testing [5,[8][9][10][11].…”