The accurate prediction of hourly runoff discharge in a watershed during heavy rainfall events is critical importance for flood control and management. This study predicts n-h-ahead the Sandimen basin southern Taiwan using novel hybrid approach which combines physically-based model (HEC-HMS) with an artificial neural network (ANN) model. Hourly data (1200 datasets) from seven were collected calibration (training) validation. Six statistical indicators (i.e. mean absolute error, root square...

Accurate prediction of water level fluctuation is important in lake management due to its significant impacts various aspects. This study utilizes four model approaches predict levels the Yuan-Yang Lake (YYL) Taiwan: a three-dimensional hydrodynamic model, an artificial neural network (ANN) (back propagation network, BPNN), time series forecasting (autoregressive moving average with exogenous inputs, ARMAX) and combined ANN model. Particularly, black-box physically based are coupled more...

Storm surge induced by severe typhoons has caused many catastrophic tragedies to coastal communities over past decades. Accurate and efficient prediction/assessment of storm is still an important task in order achieve disaster mitigation especially under the influence climate change. This study revisits predictions using artificial neural networks (ANN) effective typhoon parameters. Recent progress modeling some remaining unresolved issues are reviewed. In this paper, we chose northeastern...

An efficient nonhydrostatic model with the embedded Boussinesq-type like equations at free surface is presented to simulate waves from shallow deep water. The new free-surface treatment yields an accurate expression of vertical distribution pressure. This approach irrotational flow assumption. Two locations reference velocities obtained through interpolations are used optimize frequency dispersion for a wide range wave conditions. Accuracy and efficiency critically tested against analytical...

Abstract An efficient curvilinear non‐hydrostatic free surface model is developed to simulate water waves in horizontally curved boundaries. The generalized governing equations are solved by a fractional step method on rectangular transformed domain. Of importance employ higher order (either quadratic or cubic spline function) integral for the top‐layer pressure under staggered grid framework. Model accuracy and efficiency, terms of required vertical layers, critically examined linear...

An automated discharge imaging system (ADIS), which is a non-intrusive and safe approach, was developed for measuring river flows during flash flood events. ADIS consists of dual cameras to capture complete surface images in the near far fields. Surface velocities are accurately measured using Large Scale Particle Image Velocimetry (LSPIV) technique. The stream discharges then obtained from depth-averaged velocity (based upon an empirical velocity-index relationship) cross-section area....

Abstract A σ ‐coordinate non‐hydrostatic model, combined with the embedded Boussinesq‐type‐like equations, a reference velocity, and an adapted top‐layer control, is developed to study evolution of deep‐water waves. The advantage using equations velocity provide analytical‐based pressure distribution at optimize wave dispersion property. ‐based model naturally tackles so‐called overshooting issue in case non‐linear steep Efficiency accuracy this terms nonlinearity are critically examined....

Atmospheric temperature soundings derived from satellite-based advanced infrared (IR) sounder radiance measurements tend to have higher uncertainty in the upper troposphere. In contrast, radio occultation (RO) high accuracy and vertical-resolution for atmospheric sounding troposphere lower stratosphere (UTLS). It is anticipated that best estimation of thermodynamic state can be obtained by synergistic use RO IR measurements. A physical-based algorithm accounting significant geometric...

Abstract A novel approach that embeds the Boussinesq‐type like equations into an implicit non‐hydrostatic model (NHM) is developed. Instead of using integration approach, with a reference velocity under virtual grid system are introduced to analytically obtain analytical form pressure distribution at top layer. To determine size vertical layers in model, top‐layer control technique proposed and location employed optimize linear wave dispersion property. The efficiency accuracy this NHM...

An automated discharge imaging system (ADIS), a non-intrusive and safe approach, was developed for measuring river flows during flash flood events. ADIS consists of dual cameras to capture complete surface images in the near far fields. Surface velocities are accurately measured using Large Scale Particle Image Velocimetry (LSPIV) technique. The stream discharges then obtained from depth-averaged velocity (based upon an empirical velocity-index relationship) cross-section area. deployed at...

Having an accurate atmospheric thermodynamic state is critical for environmental research, particularly the vertical temperature and moisture profiles within boundary layer. This paper investigates synergistic use of spaceborne hyperspectral infrared radiance measurement traditional surface observation to conduct best estimation water vapor profiles. Comparing retrieval results from original stand-alone algorithm, layer retrievals appear be improved through inclusion in new developed...

Storm surges are one of the most devastating coastal disasters. Numerous efforts have continuously been made to achieve better prediction storm surge variation. In this paper, we propose a parametric cyclone and neural network hybrid model for accurate, long lead-time prediction. The was applied northeastern region Taiwan, i.e., Longdong station. A total 14 historical typhoon events were used training validation, results questions associated with approach carefully discussed. Overall,...

Large-scale particle image velocimetry (LSPIV) provides a cost-effective, rapid, and secure monitoring tool for streamflow measurements. However, surveys of ground control points (GCPs) might affect the camera parameters through solution collinearity equations then impose uncertainty on measurement results. In this paper, we explore present an analysis image-based measurements with main focus points. The study area was Yufeng Creek, which is upstream Shimen Reservoir in Northern Taiwan. A...