scholarly journals Hydrodynamic Modeling of a Tropical Tidal River Using the Dynamic Estuary Model (DYNHYD5): A Case Study in Sibu Laut River, Sarawak, Malaysia

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Chen-Lin Soo ◽  
Teck-Yee Ling ◽  
Lee Nyanti
Keyword(s):  
Field Data ◽  
Model Simulation ◽  
Simulated Data ◽  
Hydrodynamic Modeling ◽  
Tidal River ◽  
Water Quality Simulation ◽  
Calibration And Validation ◽  
Simulated Flow ◽  
Good Agreement

Application of the Dynamic Estuary Model (DYNHYD5) in a tropical tidal river is limited. The successfully calibrated and validated hydrodynamic model is valuable in subsequent water quality simulation for environmental management. Hence, a hydrodynamic modeling approach using the DYNHYD5 was conducted in a tropical tidal river in Malaysia. Samplings were conducted in the Sibu Laut River to collect the hydrology data for model simulation. The model was calibrated and validated by comparing the simulated flow and mean depth with the field data at different simulation periods of time. The results showed that the model DYNHYD5 was successfully calibrated with channel flows and mean depths and then reproduced with good agreement in validation. The observed and simulated data were linearly correlated (R2 > 0.8) with values of slope γ ranging from 0.891 to 1.204 in both calibration and validation. The Nash–Sutcliffe coefficient of efficiency (NSE) of more than 0.7 in both calibration and validation also indicated satisfactory comparison between the observed and simulated data. The result indicated that the application of the DYNHYD5 is feasible in a tropical tidal river in Malaysia.

scholarly journals Evaluation of Hydraulic Performance of Water Distribution System for Sustainable Management

2021 ◽  
Author(s):  
Tarekegn Kuma ◽  
Brook Abate Getahun
Keyword(s):  
Distribution System ◽  
Field Data ◽  
Water Distribution ◽  
Water Distribution System ◽  
Simulated Data ◽  
Water Distribution Network ◽  
Hydraulic Performance ◽  
Hydraulic Model ◽  
Integrated System

Abstract Understanding water distribution system hydraulic performance is crucial for a water supply system management. A case study was conducted evaluating the hydraulic performance of water distribution system of Tulu Bolo town. The hydraulic model of water distribution network was developed using GIS integrated with WaterGEMS hydraulic model. The implementation of the integrated system verified that water to regulate the pressure and velocity in order to sustain. According to the analysis, about 92.6% of nodes have optimized pressure ranged between 15m to 70m and about 1.27% is under permissible pressure. Model calibration was performed by comparing simulated data with field data, the result of pressure calibration has a linear correlation coefficient of 0.93 and the hydraulic model in WaterGEMS was calibrated and optimized with a field data.

Optimization of Facility Layout of Tank farms using Genetic Algorithm and Fireball Scenario

2016 ◽  
Vol 11 (2) ◽  
pp. 149-157 ◽  
Author(s):  
S.R. Nabavi ◽  
A.H. Taghipour ◽  
A. Mohammadpour Gorji
Keyword(s):  
Genetic Algorithm ◽  
Cost Function ◽  
Simulated Data ◽  
Sigmoid Function ◽  
Total Cost ◽  
Tank Farm ◽  
Novel Approach ◽  
Good Agreement ◽  
Total Cost Function

Abstract In this study a novel approach is presented to optimize the layout of petrochemical units, considering the most likely scenario. To illustrate the method a real case study, exporting petrochemical tank farm (Esfahan petrochemical, Iran), was selected. Three objective functions like, piping cost, occupied land cost and human losses were combined and the total cost function was minimized. The required data for lethality function were obtained using simulation of different scenario by Phast software. A sigmoid function was fitted to the data which can estimate the lethality based on the distance from incident point. Genetic algorithm (GA) was used to minimize the total cost function. Due to vastness of searching area, more than one optimum layout was obtained. Finally, the optimum layouts were simulated with fire ball scenario and a good agreement was obtained between optimum points and simulated data.

Field Observation and Simulation of Sediment Resuspension in a Shallow Lake

1988 ◽  
Vol 20 (6-7) ◽  
pp. 263-270 ◽  
Author(s):  
K. Otsubo ◽  
K. Muraoka
Keyword(s):  
Numerical Simulation ◽  
Shallow Lake ◽  
Water Wave ◽  
Field Data ◽  
Sediment Resuspension ◽  
Field Research ◽  
Lake Kasumigaura ◽  
Bed Erosion ◽  
Current Water ◽  
Good Agreement

The dispersion and resuspension of sediments in Takahamairi Bay basin of Lake Kasumigaura were studied by means of field research and numerical simulation. The field data on wind direction and velocity, lake current, water wave, and turbidity were shown. Based on these results, we discuss how precipitated sediments were resuspended in this shallow lake. To predict the turbidity and the depth of bed erosion, a simulation model was established for this lake. The calculated turbidity showed good agreement with the field data. According to the simulated results, the turbidity reaches 200 ppm, and the bed is eroded several millimeters deep when the wind velocity exceeds 12 m/s in the lake.

Sediment transport under dry weather conditions in a small sewer system

1998 ◽  
Vol 37 (1) ◽  
pp. 155-162
Author(s):  
Flemming Schlütter ◽  
Kjeld Schaarup-Jensen
Keyword(s):  
Sediment Transport ◽  
Field Data ◽  
Field Measurements ◽  
Weather Conditions ◽  
Sewer System ◽  
Transport Models ◽  
Sewer Systems ◽  
Combined Sewer ◽  
Initial Results

Increased knowledge of the processes which govern the transport of solids in sewers is necessary in order to develop more reliable and applicable sediment transport models for sewer systems. Proper validation of these are essential. For that purpose thorough field measurements are imperative. This paper renders initial results obtained in an ongoing case study of a Danish combined sewer system in Frejlev, a small town southwest of Aalborg, Denmark. Field data are presented concerning estimation of the sediment transport during dry weather. Finally, considerations on how to approach numerical modelling is made based on numerical simulations using MOUSE TRAP (DHI 1993).

scholarly journals Comparison of Antimicrobial Treatment Incidence Quantification Based on Detailed Field Data on Animal Level with the Standardized Methodology of the European Medicines Agency in Veal Calves, Switzerland, 2016–2018

Antibiotics ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 832
Author(s):  
Jens Becker ◽  
Mireille Meylan
Keyword(s):  
Field Data ◽  
Drug Application ◽  
Drug Level ◽  
Antimicrobial Treatment ◽  
European Medicines Agency ◽  
Veterinary Medicines ◽  
Defined Daily Doses ◽  
Class Level ◽  
Precise Quantification ◽  
Good Agreement

Precise quantification of antimicrobial treatment incidence (TI) is crucial for benchmarking. Two widespread methods for treatment incidence quantification were compared for agreement. Field data were obtained from 38 veal farms from 2016 to 2018 (1905 calves, 1864 treatments). Calculation of TIswiss for calves was based on detailed treatment records using pharmacokinetic values from the Swiss Veterinary Medicines Compendium. The method published by the European Medicines Agency was used to calculate TI in defined daily doses (TIDDD). For each calf and treatment, TIswiss and TIDDD were calculated on level of the antimicrobial class, drug, application route, and farm. The quotient (Q) of TIswiss and TIDDD was calculated. Divergence in results between the two methods of ≤25% was arbitrarily set as good agreement. The agreement between TIswiss and TIDDD was mostly good. On class level, good agreement was observed for treatments representing 71.5% of the TIDDD, and 74.5% of the total TIDDD on drug level. Poor agreement was mainly observed for tylosin and sulfadimidine. The agreement was better for parenteral than for oral treatments (81.6% vs. 72.3%). For practically orientated calculation on farm level, good agreement was observed (77.5% of the TIDDD). The TIDDD method showed mostly good agreement, especially for parenteral treatments.

Structural Analysis of an Offshore Jacket Model Under Seismic Excitation

2008 ◽  
Author(s):  
Helder J. D. Correia ◽  
Anto´nio C. Mendes ◽  
Carlos A. F. S. Oliveira
Keyword(s):  
Point Of View ◽  
Shaking Table ◽  
Seismic Excitation ◽  
Model Structure ◽  
Structural Members ◽  
Jacket Structures ◽  
Reaction Forces ◽  
Nodal Displacements ◽  
Good Agreement

In the present work the action of earthquakes upon offshore jacket structures is analysed by means of ADINA software. Our case-study refers to an existing model structure, previously constructed at the Laboratory of Fluid Mechanics of UBI, which has been analysed from the hydrodynamic point of view — Mendes et al. [1, 2]. The seismic excitation will be imposed at the base of this model structure, with frequencies and amplitudes corresponding to actual earthquake conditions transposed to the model scale of 1:45. The FEM software is utilised to calculate the natural frequencies of the model and to obtain stresses at selected members, as well as their nodal displacements. Our purpose is to quantify maximum stresses occurring in critical structural members and to verify the survivability criterion. The predictions of the numerical model, in terms of the reaction forces at the base and acceleration at the top of the structure, are then correlated with the experimental measurements performed when the model structure is excited in an especially designed shaking table (Correia [3]), revealing a good agreement between both results.

Predicting Seepage of Earth Dams Using Neural Network and Genetic Algorithm

2011 ◽  
Vol 403-408 ◽  
pp. 3081-3085 ◽  
Author(s):  
Xin Ying Miao ◽  
Jin Kui Chu ◽  
Jing Qiao ◽  
Ling Han Zhang
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Field Data ◽  
Back Propagation ◽  
Earth Dam ◽  
Earth Dams ◽  
Gradient Descent Algorithm ◽  
Levenberg Marquardt ◽  
Lm Algorithm ◽  
Good Agreement

Measurements of seepage are fundamental for earth dam surveillance. However, it is difficult to establish an effective and practical dam seepage prediction model due to the nonlinearity between seepage and its influencing factors. Genetic Algorithm for Levenberg-Marquardt(GA-LM), a new neural network(NN) model has been developed for predicting the seepage of an earth dam in China using 381 databases of field data (of which 366 in 2008 were used for training and 15 in 2009 for testing). Genetic algorithm(GA) is an ecological system algorithm, which was adopted to optimize the NN structure. Levenberg-Marquardt (LM) algorithm was originally designed to serve as an intermediate optimization algorithm between the Gauss-Newton(GN) method and the gradient descent algorithm, which was used to train NN. The predicted seepage values using GA-LM model are in good agreement with the field data. It is demonstrated here that the model is capable of predicting the seepage of earth dams accurately. The performance of GA-LM has been compared with that of conventional Back-Propagation(BP) algorithm and LM algorithm with trial-and-error approach. The comparison indicates that the GA-LM model can offer stronger and better performance than conventional NNs when used as a quick interpolation and extrapolation tool.

ACOUSTIC THREE-DIMENSIONAL EFFECTS AROUND THE TAIWAN STRAIT: COMPUTATIONAL RESULTS

1999 ◽  
Vol 07 (01) ◽  
pp. 15-26 ◽  
Author(s):  
CHI-FANG CHEN ◽  
JANG-JIA LIN ◽  
DING LEE
Keyword(s):  
Field Data ◽  
Bottom Topography ◽  
Three Dimensional ◽  
Propagation Model ◽  
Computational Results ◽  
Submarine Canyons ◽  
Offshore Area ◽  
Ocean Environment ◽  
The Taiwan Strait ◽  
Good Agreement

A set of experiments were performed in the offshore area off the coasts of Taiwan and three-dimensional (3-D) measurements recorded. The 3-D effect on underwater propagation due to azimuthal variation of bottom topography is studied for the offshore regions southwest of Taiwan, where submarine canyons exist. A 3-D acoustic propagation model, FOR3D, is used to detect the 3-D effect. Computational results show that the 3-D effect is more prominent along the axis of the canyon than across it. Calculations show a very good agreement with field data, which indicate that the 3-D effect exists in this realistic ocean environment.

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