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Water
Special Issues
Multi-Objective Water Resources Operations
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Multi-Objective Water Resources Operations

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 (31 January 2023) | Viewed by 4127

Special Issue Editors

Dr. Guang Yang

E-Mail Website
Guest Editor
Department of Electronics, Information, and Bioengineering, Politecnico di Milano, Milan, Italy
Interests: multi-objective optimization; adaptive water resources operation; decision support system; hydrological forecast; statistical learning
Dr. Bo Ming

E-Mail Website
Guest Editor
State Key Laboratory of Eco-Hydraulics in Northwest Arid Region of China, Xi’an University of Technology, Xi'an, China
Interests: reservoir operation; hydrological modelling; hybrid renewable energy system; climate change; stochastic optimization
Dr. Jingwen Zhang

E-Mail Website
Guest Editor
Institute for Sustainability, Energy, and Environment, University of Illinois Urbana-Champaign, Urbana, IL, USA
Interests: water resources management; optimization; human-machine interaction; ecohydrology; agroecosystem models
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The proper operation of existing water systems is critical for water security through improving water use efficiency to relieve water stress caused by rapid population growth and socio-economic development. At the same time, water systems generally provide services to stakeholders with multiple and competing interests, including flood control, irrigation, power generation, navigation, ecology, etc. This Special Issue is dedicated to instruments and innovations in multi-objective water resource operations intended to mitigate the underlying conflicts among multiple sectors. The emphasis should be on advances in modeling the water resource systems with multiple stakeholders and developing multi-objective optimization techniques for adaptive and robust water resource decision-making. The main themes of this Special Issue include, but are not limited to, the following:

  • Multi-objective optimization algorithms for water resource operation;
  • Trade-off analysis in multi-sector water systems operation;
  • Machine learning approaches for water resource management;
  • Uncertainty analysis and propagation in the water resource systems;
  • Adaptive water resource decision-making under climate change;
  • Human-machine interactions in the water systems operation.

This Special Issue aims to gather the latest developments in integrated water resource operations, as well as multi-objective optimization and control techniques. Applications of multi-purpose water systems operation, considering health, ecosystem, and inequality issues, are also greatly appreciated.

Dr. Guang Yang
Dr. Bo Ming
Dr. Jingwen Zhang
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

  • water systems operation
  • multi-objective optimization algorithms
  • trade-off modelling and analysis
  • adaptive decision-making
  • machine learning
  • human-machine interaction

Published Papers (2 papers)

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Research

28 pages, 6769 KiB  
Article
An Analytical Framework for Investigating Trade-Offs between Reservoir Power Generation and Flood Risk
by Lin Zhang, Jay R. Lund, Wei Ding, Xiaoli Zhang, Sifan Jin, Guoli Wang and Yong Peng
Water 2022, 14(23), 3841; https://doi.org/10.3390/w14233841 - 25 Nov 2022
Cited by 2 | Viewed by 1196
Abstract
Converting floodwater into power without increasing flood risk is critical for energy-stressed regions. Over the past decades, numerous methods have been proposed to solve this problem. However, few studies have investigated the theoretical explanation of the trade-offs between power generation and flood risk. [...] Read more.
Converting floodwater into power without increasing flood risk is critical for energy-stressed regions. Over the past decades, numerous methods have been proposed to solve this problem. However, few studies have investigated the theoretical explanation of the trade-offs between power generation and flood risk. This study establishes an analytical framework to derive optimal hedging rules (OHR) and explains the economic insights into flood risk reduction and power generation improvement. A two-stage model based on the concept of dynamic control of carryover storage (DCCS) was developed as part of the framework, considering forecast uncertainty and risk tolerance. The results illustrated that hedging and trade-offs between power generation and flood risk during DCCS only occurs when the forecasted inflow and forecast uncertainty are within certain ranges, beyond which there is no hedging and trade-offs analysis; either power generation or flood risk becomes the dominant objective. The OHR was divided into three cases under different levels of forecast uncertainty and risk tolerance. Compared to forecast uncertainty, downstream risk tolerance plays a more important role in determining which case of the OHR is adopted in real-world operations. The analysis revealed what and how intense trade-offs are between power generation and flood risk under different scenarios of forecasted inflow, forecast uncertainty, and risk tolerance. The framework serves as a guideline for less abundant water resources or energy-stressed areas of operational policy. Nierji Reservoir (located in northeast China) was taken as a case study to illustrate the analysis, and the application results showed that OHR increases the average annual power generation by 4.09% without extra flood risk compared to current operation rules. Full article
(This article belongs to the Special Issue Multi-Objective Water Resources Operations)
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17 pages, 2792 KiB  
Article
Ecohydrological Variation and Multi-Objective Ecological Water Demand of the Irtysh River Basin
by Dan Wang, Shuanghu Zhang, Guoli Wang, Jingjing Gu, Hao Wang and Xiaoting Chen
Water 2022, 14(18), 2876; https://doi.org/10.3390/w14182876 - 15 Sep 2022
Cited by 8 | Viewed by 2149
Abstract
Hydrological processes regulate the ecological processes of a basin. Climate change and anthropological activities lead to changes in the natural hydrological process of rivers, whereas variations in hydrological processes can disrupt the stability of ecosystems, resulting in various ecological challenges. Quantitative evaluation of [...] Read more.
Hydrological processes regulate the ecological processes of a basin. Climate change and anthropological activities lead to changes in the natural hydrological process of rivers, whereas variations in hydrological processes can disrupt the stability of ecosystems, resulting in various ecological challenges. Quantitative evaluation of ecological water demand and its key components can play a key role in the sustainable development of ecosystems. The studies of ecohydrological variation and multi-objective ecological water demand are of great significance for ecological protection and remediation due to the unique characteristics of each river basin and diverse ecological protection objectives. This study identified ecohydrological variation in ecosystems, focusing on the Irtysh River Basin as a case study, and improved methods for ecological water demand of valley forests and grasslands in terrestrial ecosystems and for the ecological water level of lake ecosystems. The results demonstrated that: (1) a drastic decrease in the annual average river flow of the basin and significant changes in ecohydrological characteristics can lead to reduced biomass; (2) the ecological water demand of valley forests and grasslands during the critical ecological stage (April–September) was 521 million m³, with 52.4% of total demand occurring in June and July. The minimum ecological water levels of the Burultokay and Jili lakes were 478.66 m and 480.66 m, whereas the maximum levels were 482.80 m and 483.20 m, respectively; (3) ecological regulation based on catchwork irrigation technology can create hydrological processes that meet the water demands of valley forests and grasslands and achieve remediation of the terrestrial ecosystem. The ecological water levels and the ecosystem balance of the Burultokay and Jili lakes can be maintained by optimizing the replenishment flow from the Irtysh River to the Burultokay Lake under different precipitation levels. This study can act as a reference for the ecological protection and remediation of the Irtysh River Basin and similar ecosystems globally. Full article
(This article belongs to the Special Issue Multi-Objective Water Resources Operations)
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