scholarly journals Optimum contributions of hydropower reservoirs to the minimum flow of Vu Gia – Thu Bon river basin

2020 ◽  
Vol 15 (4) ◽  
pp. 1083-1095
Author(s):  
To Viet Thang ◽  
Nguyen T. Thu Nga ◽  
Ngo Le Long
Keyword(s):  
River Basin ◽  
Large Scale ◽  
Search Algorithm ◽  
Scatter Search ◽  
Water Levels ◽  
Electricity Production ◽  
Minimum Flow ◽  
Simulation Based ◽  
Scatter Search Algorithm ◽  
Hydropower Reservoirs

Abstract Upstream hydropower development has a great impact on downstream flows. According to the Regulation of Multi-reservoir Operation in Vu Gia – Thu Bon River Basin (Regulation 15371), four large-scale upstream reservoirs must discharge certain flow during the dry season to increase water levels at downstream hydrological stations named Ai Nghia and Giao Thuy. These stations are used as the control points for the downstream water supply. An optimizing-simulation based model was developed that both maximizes total electricity production and ensures minimum flow downstream as required. A thousand combinations of the reservoir inflows were generated by Monte Carlo simulation, considering the correlation between tributaries. Then, the Scatter search algorithm available in the Optquest module of Crystal Ball was used to find the optimal release from the reservoirs. The results show that the current Regulation 1537 can be improved for more efficient water resources management.

scholarly journals An Improved Scatter Search Algorithm for Parameter Estimation in Large-Scale Kinetic Models of Biochemical Systems

2019 ◽  
Vol 16 (5) ◽  
pp. 427-438
Author(s):  
Muhammad Akmal Remli ◽  
Mohd Saberi Mohamad ◽  
Safaai Deris ◽  
Richard Sinnott ◽  
Suhaimi Napis
Keyword(s):  
Experimental Data ◽  
Parameter Estimation ◽  
Model Prediction ◽  
Large Scale ◽  
Model Building ◽  
Search Algorithm ◽  
Scatter Search ◽  
Biochemical Systems ◽  
Scatter Search Algorithm ◽  
Best Fit

Background: Mathematical models play a central role in facilitating researchers to better understand and comprehensively analyze various processes in biochemical systems. Their usage is beneficial in metabolic engineering as they help predict and improve desired products. However, one of the primary challenges in model building is parameter estimation. It is the process to find nearoptimal values of kinetic parameters which may culminate in the best fit of model prediction to experimental data. Methods: This paper proposes an improved scatter search algorithm to address the challenging parameter estimation problem. The improved algorithm is based on hybridization of quasi opposition-based learning in enhanced scatter search (QOBLESS) method. The algorithm is tested using a large-scale metabolic model of Chinese Hamster Ovary (CHO) cells. Results: The experimental result shows that the proposed algorithm performs better than other algorithms in terms of convergence speed and the minimum value of the objective function (loglikelihood). The estimated parameters from the experiment produce a better model by means of obtaining a reasonable good fit of model prediction to the experimental data. Conclusion: The kinetic parameters’ value obtained from our work was able to result in a reasonable best fit of model prediction to the experimental data, which contributes to a better understanding and produced more accurate model. Based on the results, the QOBLESS method can be used as an efficient parameter estimation method in large-scale kinetic model building.

scholarly journals A New Tool to Estimate Inundation Depths by Spatial Interpolation (RAPIDE): Design, Application and Impact on Quantitative Assessment of Flood Damages

Water ◽  
2018 ◽  
Vol 10 (12) ◽  
pp. 1805 ◽  
Author(s):  
Anna Scorzini ◽  
Alessio Radice ◽  
Daniela Molinari
Keyword(s):  
River Basin ◽  
Water Depth ◽  
Spatial Interpolation ◽  
Large Scale ◽  
Quantitative Estimation ◽  
Digital Terrain Model ◽  
Water Levels ◽  
Flood Depth ◽  
Inundation Depth ◽  
Basin Scale

Rapid tools for the prediction of the spatial distribution of flood depths within inundated areas are necessary when the implementation of complex hydrodynamic models is not possible due to time constraints or lack of data. For example, similar tools may be extremely useful to obtain first estimates of flood losses in the aftermath of an event, or for large-scale river basin planning. This paper presents RAPIDE, a new GIS-based tool for the estimation of the water depth distribution that relies only on the perimeter of the inundation and a digital terrain model. RAPIDE is based on a spatial interpolation of water levels, starting from the hypothesis that the perimeter of the flooded area is the locus of points having null water depth. The interpolation is improved by (i) the use of auxiliary lines, perpendicular to the river reach, along which additional control points are placed and (ii) the possibility to introduce a mask for filtering interpolation points near critical areas. The reliability of RAPIDE is tested for the 2002 flood in Lodi (northern Italy), by comparing the inundation depth maps obtained by the rapid tool to those from 2D hydraulic modelling. The change of the results, related to the use of either method, affects the quantitative estimation of direct damages very limitedly. The results, therefore, show that RAPIDE can provide accurate flood depth predictions, with errors that are fully compatible with its use for river-basin scale flood risk assessments and civil protection purposes.

An advanced scatter search algorithm for solving job shops with sequence dependent and non-anticipatory setups

2015 ◽  
Vol 28 (2) ◽  
pp. 179-193 ◽  
Author(s):  
Miguel A. González ◽  
Camino R. Vela ◽  
Ramiro Varela ◽  
Inés González-Rodríguez
Keyword(s):  
Search Algorithm ◽  
Scatter Search ◽  
Job Shops ◽  
Sequence Dependent ◽  
Scatter Search Algorithm
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