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Water
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Planning and Operations of Adaptive Multi-Objective Multi-Reservoir Systems
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Planning and Operations of Adaptive Multi-Objective Multi-Reservoir Systems

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Water Resources Management, Policy and Governance".

Deadline for manuscript submissions: closed (30 September 2022) | Viewed by 7443
We encourage authors to choose “Open Review” when submitting to the Special Issue.

Special Issue Editors

Prof. Dr. Kumaraswamy Ponnambalam

E-Mail Website
Guest Editor
Department of Systems Design, University of Waterloo, Waterloo, ON N2L 3G1, Canada
Interests: design optimization under uncertainty; storage systems; stochastic differential equations; yield optimization; machine intelligence; multireservoir operations optimization; risk analysis
Prof. Dr. Jamshid Mousavi

E-Mail Website
Guest Editor
School of Petroleum, Civil and Mining Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran 15875-4413, Iran
Interests: IWRM; hydrologic modelling; coupled human-natural systems; hydroinformatics; optimization, risk and uncertainty; multisite reservoir-river systems operations; real-time control and operations; basin-scale optimal water allocations

Special Issue Information

Dear Colleagues,

River and reservoirs are an important part of complex water resources systems contributing to supplying water for different consumptive and non-consumptive water users including domestic, industrial, irrigation, navigation, recreation, hydroelectric generation, flood control, and water quality-related uses as well as sustained ecological, environmental, and ecosystem services. Considering the impacts of global warming and climate change in re-enforcing meteorological and hydrological non-stationarities, new challenges have emerged, making optimal design and operation of these complex, multipurpose multi-component systems more challenging.

Multi-objective optimization, systems analysis, and hydroinformatics tools and approaches are of particular interest to solving and addressing these challenges in river–reservoir systems. This Special Issue calls for original quality papers and contributions on any of the abovementioned tools and approaches applied to a broad range of hydrosystems, especially those derived from actual practice. Included are urban water systems, irrigation systems, hydropower systems, basin-scale water allocation systems, transboundary water systems, etc., where rivers and reservoirs play a significant role, with multiple objectives and robust management systems. We especially welcome articles from practitioners of the various successful methods involving both public and private water systems in addition to discussions of policies that have not worked well and the future challenges as identified by these practitioners.

The planning horizon for optimal design and operation problems addressed could be from short- to long-term horizons, taking into account a number of important issues involved such as adaptation, uncertainty, stakeholder participations, and socioeconomic modeling. Works in coupled human–natural systems and agent-based modeling approaches applied to river–reservoir systems are also welcome. In order for us to compare various methods on the same problem we have provided a sample data for which some results are available from literature (means and standard deviations are possible benefits for comparison purposes) here: https://doi.org/10.5683/SP2/QEB9LT.

Prof. Dr. Kumaraswamy Ponnambalam
Prof. Dr. Jamshid Mousavi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • River–Reservoir systems
  • Multi-Objective optimization
  • Uncertainty analysis
  • Coupled human–natural systems

Published Papers (3 papers)

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Research

26 pages, 4811 KiB  
Article
Extending a Large-Scale Model to Better Represent Water Resources without Increasing the Model’s Complexity
by Robyn Horan, Nathan J. Rickards, Alexandra Kaelin, Helen E. Baron, Thomas Thomas, Virginie D. J. Keller, Prabhas K. Mishra, Manish K. Nema, Sekhar Muddu, Kaushal K. Garg, Rishi Pathak, Helen A. Houghton-Carr, Harry Dixon, Sharad K. Jain and Gwyn Rees
Water 2021, 13(21), 3067; https://doi.org/10.3390/w13213067 - 02 Nov 2021
Cited by 5 | Viewed by 2852
Abstract
The increasing impact of anthropogenic interference on river basins has facilitated the development of the representation of human influences in large-scale models. The representation of groundwater and large reservoirs have realised significant developments recently. Groundwater and reservoir representation in the Global Water Availability [...] Read more.
The increasing impact of anthropogenic interference on river basins has facilitated the development of the representation of human influences in large-scale models. The representation of groundwater and large reservoirs have realised significant developments recently. Groundwater and reservoir representation in the Global Water Availability Assessment (GWAVA) model have been improved, critically, with a minimal increase in model complexity and data input requirements, in keeping with the model’s applicability to regions with low-data availability. The increased functionality was assessed in two highly anthropogenically influenced basins. A revised groundwater routine was incorporated into GWAVA, which is fundamentally driven by three input parameters, and improved the simulation of streamflow and baseflow in the headwater catchments such that low-flow model skill increased 33–67% in the Cauvery and 66–100% in the Narmada. The existing reservoir routine was extended and improved the simulation of streamflow in catchments downstream of major reservoirs, using two calibratable parameters. The model performance was improved between 15% and 30% in the Cauvery and 7–30% in the Narmada, with the daily reservoir releases in the Cauvery improving significantly between 26% and 164%. The improvement of the groundwater and reservoir routines in GWAVA proved successful in improving the model performance, and the inclusions allowed for improved traceability of simulated water balance components. This study illustrates that improvement in the representation of human–water interactions in large-scale models is possible, without excessively increasing the model complexity and input data requirements. Full article
(This article belongs to the Special Issue Planning and Operations of Adaptive Multi-Objective Multi-Reservoir Systems)
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15 pages, 3082 KiB  
Article
Application of Cellular Automata in Bi-Objective Operation of Multi Reservoir Systems
by Mohammad Hadi Afshar and Reza Hajiabadi
Water 2021, 13(19), 2740; https://doi.org/10.3390/w13192740 - 02 Oct 2021
Cited by 2 | Viewed by 1412
Abstract
Optimal operation of multi-reservoir systems is one the most challenging problems in water resource management due to their multi-objective nature and time-consuming solving process. In this paper, Multi-Reservoir Parallel Cellular Automata-Simulated Annealing (MPCA-SA), a hybrid method based on cellular automata and simulated annealing [...] Read more.
Optimal operation of multi-reservoir systems is one the most challenging problems in water resource management due to their multi-objective nature and time-consuming solving process. In this paper, Multi-Reservoir Parallel Cellular Automata-Simulated Annealing (MPCA-SA), a hybrid method based on cellular automata and simulated annealing is presented for solving bi-objective operations of multi-reservoir systems problems. The problem considers the bi-objective operation of a multi-reservoir system with the two conflicting objectives of water supply and hydropower generation. The MPCA-SA method uses two single-objective cellular automata acting in parallel to explore the problem search space and find the optimal solutions based on the probabilistic interaction with each other. Bi-objective operation of the Dez-Gotvand-Masjed Soleyman three-reservoir system, as a real-world system in southwestern Iran for a period of 60 months, is considered in order to evaluate the ability of the proposed method. In addition, a Non-dominated Sorting Genetic Algorithm (NSGAII) is also used to solve the problems and the results are compared with those of MPCA-SA, indicating the capabilities of the proposed MPCA-SA method. The results show that the MPCA-SA method is able to produce solutions comparable to those of NSGAII with a much-reduced computational cost equal to 1.2% of that required by the NSGAII, emphasizing the efficiency and practicality of the proposed method. Full article
(This article belongs to the Special Issue Planning and Operations of Adaptive Multi-Objective Multi-Reservoir Systems)
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19 pages, 2567 KiB  
Article
Integrated Operation of Multi-Reservoir and Many-Objective System Using Fuzzified Hedging Rule and Strength Pareto Evolutionary Optimization Algorithm (SPEA2)
by Alireza B. Dariane, Mohammad M. Sabokdast, Farzane Karami, Roza Asadi, Kumaraswamy Ponnambalam and Seyed Jamshid Mousavi
Water 2021, 13(15), 1995; https://doi.org/10.3390/w13151995 - 21 Jul 2021
Cited by 5 | Viewed by 2383
Abstract
In this paper, a many-objective optimization algorithm was developed using SPEA2 for a system of four reservoirs in the Karun basin, including hydropower, municipal and industrial, agricultural, and environmental objectives. For this purpose, using 53 years of available data, hedging rules were developed [...] Read more.
In this paper, a many-objective optimization algorithm was developed using SPEA2 for a system of four reservoirs in the Karun basin, including hydropower, municipal and industrial, agricultural, and environmental objectives. For this purpose, using 53 years of available data, hedging rules were developed in two modes: with and without applying fuzzy logic. SPEA2 was used to optimize hedging coefficients using the first 43 years of data and the last 10 years of data were used to test the optimized rule curves. The results were compared with those of non-hedging methods, including the standard operating procedures (SOP) and water evaluation and planning (WEAP) model. The results indicate that the combination of fuzzy logic and hedging rules in a many-objectives system is more efficient than the discrete hedging rule alone. For instance, the reliability of the hydropower requirement in the fuzzified discrete hedging method in a drought scenario was found to be 0.68, which is substantially higher than the 0.52 from the discrete hedging method. Moreover, reduction of the maximum monthly shortage is another advantage of this rule. Fuzzy logic reduced 118 million cubic meters (MCM) of deficit in the Karun-3 reservoir alone. Moreover, as expected, the non-hedging SOP and WEAP model produced higher reliabilities, lower average storages, and less water losses through spills. Full article
(This article belongs to the Special Issue Planning and Operations of Adaptive Multi-Objective Multi-Reservoir Systems)
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