scholarly journals WRSS: An Object-Oriented R Package for Large-Scale Water Resources Operation

Water ◽  
2021 ◽  
Vol 13 (21) ◽  
pp. 3037
Author(s):  
Rezgar Arabzadeh ◽  
Parisa Aberi ◽  
Sina Hesarkazzazi ◽  
Mohsen Hajibabaei ◽  
Wolfgang Rauch ◽  
...  
Keyword(s):  
Water Resources ◽  
Single Unit ◽  
Large Scale ◽  
Object Oriented ◽  
R Package ◽  
Planning System ◽  
Return Flow ◽  
Coding System ◽  
Water Resources System ◽  
Water Resources Systems

Water resources systems, as facilities for storing water and supplying demands, have been critically important due to their operational requirements. This paper presents the applications of an R package in a large-scale water resources operation. The WRSS (Water Resources System Simulator) is an object-oriented open-source package for the modeling and simulation of water resources systems based on Standard Operation Policy (SOP). The package provides R users several functions and methods to build water supply and energy models, manipulate their components, create scenarios, and publish and visualize the results. WRSS is capable of incorporating various components of a complex supply–demand system, including numerous reservoirs, aquifers, diversions, rivers, junctions, and demand nodes, as well as hydropower analysis, which have not been presented in any other R packages. For the WRSS’s development, a novel coding system was devised, allowing the water resources components to interact with one another by transferring the mass in terms of seepage, leakage, spillage, and return-flow. With regard to the running time, as a key factor in complex models, WRSS outshone the existing commercial tools such as the Water Evaluation and Planning System (WEAP) significantly by reducing the processing time by 50 times for a single unit reservoir. Additionally, the WRSS was successfully applied to a large-scale water resources system comprising of 5 medium- to large-size dams with 11 demand nodes. The results suggested dams with larger capacity sizes may meet agriculture sector demand but smaller capacities to fulfill environmental water requirement. Additionally, large-scale approach modeling in the operation of one of the studied dams indicated its implication on the reservoirs supply resiliency by increasing 10 percent of inflow compared with single unit operation.

Operational hydrology with forecasting for a multireservoir water resources system

1979 ◽  
Vol 6 (3) ◽  
pp. 355-364
Author(s):  
Robert M. Thompstone
Keyword(s):  
Parameter Estimation ◽  
Water Resources ◽  
River Flow ◽  
Synthetic Data ◽  
Stochastic Modelling ◽  
Water Resources System ◽  
Water Resources Systems ◽  
Operating Strategies

One of the tools used by the water resources engineer in developing operating strategies for water resources systems is operational hydrology—the stochastic modelling of a hydrologic phenomenon such as river flow in order to generate a large number of possible future occurrences of the phenomenon. This paper describes the selection and parameter estimation of a multisite multiseason model for application to five sites of a hydroelectric system operated by Alcan Smelters and Chemicals Limited in the Saguenay – Lac St-Jean region of Quebec. The model is used to generate synthetic inflow data and compute corresponding forecasts. The model is evaluated with respect to its ability to both generate realistic synthetic data and produce meaningful forecasts.

scholarly journals Scalable Multiobjective Control for Large-Scale Water Resources Systems Under Uncertainty

2018 ◽  
Vol 26 (4) ◽  
pp. 1492-1499 ◽  
Author(s):  
Matteo Giuliani ◽  
Julianne D. Quinn ◽  
Jonathan D. Herman ◽  
Andrea Castelletti ◽  
Patrick M. Reed
Keyword(s):  
Water Resources ◽  
Large Scale ◽  
Water Resources Systems ◽  
Multiobjective Control

scholarly journals Decentralized calibration process for distributed water resources systems using the self-adaptive multi-memory melody search algorithm

2021 ◽  
Author(s):  
Seyed Mohammad Ashrafi ◽  
Maral Mahmoudi
Keyword(s):  
Water Resources ◽  
Search Algorithm ◽  
System Modeling ◽  
Computation Time ◽  
Computational Accuracy ◽  
Water Resources System ◽  
Water Resources Systems ◽  
Simulation And Optimization ◽  
Definition Of ◽  
Self Adaptive

Abstract Having systematic simulation and optimization models with high computational accuracy is one of the most important problems in developing decision support systems. In the present research, a specific methodology was proposed for decentralized calibration of complex water resources system models by using the structural capabilities of the melody search algorithm. This methodology was implemented in the framework of a self-adaptive simulation–optimization model that helps fine-tune complex water resources models by introducing a new definition of the way sub-memories are related to each. The introduced structure aims to achieve the highest possible level of consistency, which is estimated by using different criteria, between model results and observed data at several control points of surface flows. The introduced strategy was put to the test in developing a water resources model for the Great Karun Watershed, Iran, and was found to produce accurate results compared to some other well-known optimization algorithms such as GA, HS, PSO, SGHS, EMPSO, and SaMeS. In an attempt to determine the effect of calibration on water resources system modeling, 16 calibration models of different dimensions are developed and their computational costs are compared in terms of their computation time and effects on the accuracy of the results.

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