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Entropy Concepts in Water Engineering Problems Associated with the Hydrological Cycle

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Multidisciplinary Applications".

Deadline for manuscript submissions: closed (13 September 2022) | Viewed by 4396

Special Issue Editors


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Guest Editor
1. Department of Water Resources and Environmental Engineering, School of Civil Engineering, National Technical University of Athens, Athens, Greece
2. University of West Attica, Aigaleo, Greece
Interests: stochastics; hydrodynamics; uncertainty analysis; experimental turbulence; water/energy nexus
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Guest Editor
Department of Civil Engineering, University of West Attica, 12243 Attica, Greece
Interests: multi-phase flow in porous media

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Guest Editor
Department of Water Resources, School of Civil Engineering, National Technical University of Athens, Athens, Greece
Interests: civil engineering; water resources engineering; hydrology; stochastics; climatology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Phenomena or processes observed within the hydrological cycle span across a hierarchy of spatio-temporal scales and show inherently multi-physics characteristics and complexity. Their phenomenology challenges our ability and competency in analysing, modelling, predicting and forecasting their behaviour in various engineering applications.

Due to their inherent multi-dimensionality across different spatial and temporal scales, phenomena associated with physical systems of the hydrological cycle are endowed with multiple degrees of freedom. In that context, the conventional description, through systems of balance equations compiled with constitutive relations, does not suffice to solve problems in predicting the evolution of such phenomena or processes. Balances can only restrict unrealistic solutions. Entropy principles, e.g., extremization or variational principles, Bayesian inference methodological approaches, consideration of the different scales of entropy (thermal, configurational), etc., provide a useful tool for tapping into the structure (geometry) of the ensemble of physically admissible solutions and in managing the associated high degree of complexity that leads to high uncertainty and variability—an inherent characteristic of hydrologic systems. One challenge is to cope with redundant or non-essential multi-dimensionality without preventing model correctness and trueness (make it simple but not too simple).

This Special Issue aims to compile current research efforts implementing entropy and/or information theory concepts and tools in addressing open, persistent or new problems in water engineering, associated with phenomena and processes within the hydrological cycle (such as wind speed, air pressure, humidity, temperature, evaporation, precipitation, surface water, groundwater, soil moisture, streamflow) and/or within the related fields, including geosciences, energy harvesting from renewable resources (wind, sun, water, flora), energy management /energy security, sustainability, etc.

Indicative applications, associated with sustainability, water security and energy transition, are: operation of urban networks, resilience of water infrastructure systems, irrigation, soil remediation, aquifer replenishment, water–energy nexus, pumped storage techniques, optimized use of water and renewable resources in combined cycles of energy harvesting and buffering (such as wind farms, hydro energy cycles, green hydrogen), etc.; the list is not exhaustive.

The ambition of this Special Issue is to provide an e-podium for researchers to present their recent work in applications of entropy to the modelling and simulation of the complex phenomena associated with the hydrological cycle. We are particularly interested in soliciting manuscripts presenting new attempts to integrate and exploit the various entropy formulations, in addressing environmental and water engineering problems associated with the hydrological cycle and even beyond, in the broader field of geosciences.

Dr. Panayiotis Dimitriadis
Prof. Dr. Marios Valavanides
Prof. Dr. Demetris Koutsoyiannis
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. Entropy is an international peer-reviewed open access monthly 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

  • Entropy
  • water engineering
  • hydrologic cycle
  • water resources
  • renewables
  • energy security
  • sustainability

Published Papers (3 papers)

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Research

24 pages, 4272 KiB  
Article
Structure Simulation and Equilibrium Evaluation Analysis of Regional Water Resources, Society, Economy and Ecological Environment Complex System
by Chengguo Wu, Xiaoyu Wang, Juliang Jin, Yuliang Zhou, Xia Bai, Liangguang Zhou, Fang Tong, Libing Zhang and Yi Cui
Entropy 2023, 25(2), 181; https://0-doi-org.brum.beds.ac.uk/10.3390/e25020181 - 17 Jan 2023
Cited by 4 | Viewed by 1230
Abstract
Currently, the implementation of water resource spatial equilibrium strategy is a fundamental policy of water resource integrated management in China; it is also a considerable challenge to explore the relationship structure features of water resources, society, economy and ecological environment (WSEE) complex system. [...] Read more.
Currently, the implementation of water resource spatial equilibrium strategy is a fundamental policy of water resource integrated management in China; it is also a considerable challenge to explore the relationship structure features of water resources, society, economy and ecological environment (WSEE) complex system. For this purpose, firstly, we applied information entropy, ordered degree and connection number coupling method to reveal the membership characteristics between different evaluation indicators and grade criterion. Secondly, the system dynamics approach was introduced to describe the relationship features among different equilibrium subsystems. Finally, the ordered degree, connection number, information entropy and system dynamics integrated model was established to conduct relationship structure simulation and evolution trend evaluation of the WSEE system. The application results in Hefei city, Anhui Province, China, demonstrated that: (1) the variation of overall equilibrium conditions of WSEE system in Hefei city, 2020–2029 was higher compared to that of 2010–2019, though the increasing rate of ordered degree and connection number entropy (ODCNE) became slower after 2019; and (2) the annual ODCNE value from 2020 to 2029 of WSEE system under dry year scenarios increased about 0.0812, which indicated that the construction of Yangtze-Huaihe Diversion (YHD) project could play significant positive role in mitigating the equilibrium situation of WSEE system in Hefei city in the future. On the whole, this study is capable of providing the guidance basis for constructing a theoretical framework of structure simulation and equilibrium evaluation analysis of WSEE complex system. Full article
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20 pages, 1678 KiB  
Article
Optimized Selection of Water Resource Allocation Schemes Based on Improved Connection Entropy in Beijing’s Southern Plain
by Chen Li, Baohui Men and Shiyang Yin
Entropy 2022, 24(7), 920; https://0-doi-org.brum.beds.ac.uk/10.3390/e24070920 - 01 Jul 2022
Viewed by 1053
Abstract
Increased urbanization has caused problems such as increasing water consumption and the continuous deterioration of the groundwater environment. It is necessary to consider the groundwater quality in the water resource optimization system and increase the rate of reclaimed water development to reduce the [...] Read more.
Increased urbanization has caused problems such as increasing water consumption and the continuous deterioration of the groundwater environment. It is necessary to consider the groundwater quality in the water resource optimization system and increase the rate of reclaimed water development to reduce the amount of groundwater exploitation and achieve sustainable development of water resources. This study used the Daxing District, a region of Beijing’s southern plain, as an example to evaluate water quality by analyzing water quality data of surface and groundwater from 2012 to 2016 and actual water-use schemes from 2006 to 2016. Three groundwater extraction modes were set up based on NO3–N concentrations, water resources were optimized under three extraction modes, and water resource optimization schemes were determined based on the improved connection entropy. The results show that (1) the surface water quality was poor, and the proportion of V4 type water in the indexes of NH3–N and chemical oxygen demand (COD) was the largest. The surface water can only be used for agricultural irrigation. The pollution sources contributing most to NH3–N and COD were domestic and agricultural pollution sources. (2) The groundwater quality was good. The NO3–N index was primarily type I–III water, accounting for 95.20% of the total samples. Severe NH3–N pollution areas were mainly in the northern region, and most regional groundwater can be used for various purposes. (3) Taking 2016 as an example, three groundwater exploitation modes were set to optimize water resource allocation, and the results showed that the rate of groundwater development and NO3–N pollution decreased significantly after optimization. (4) Connection entropy is an evaluation method that combines connection numbers and entropy, including identify, difference, and opposition entropy. As connection entropy being a kind of complete entropy, which can reflect the difference of the system in different states, based on the improved connection entropy, the connection entropies of optimal water resource allocation and actual water-use schemes were calculated. The connection entropy of groundwater exploitation mode 3 was less than that of groundwater exploitation modes 1 and 2 and actual water-use schemes from 2006 to 2016. Therefore, exploitation mode 3’s water resource optimization scheme was recommended. In the paper, satisfactory results have been obtained. As a kind of complete entropy, connection entropy has great research value in dealing with complex hydrological problems. This study’s research methods and outcomes can provide methodological and theoretical lessons for water management in freshwater-deficient areas. Full article
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25 pages, 6348 KiB  
Article
Quantitative Evaluation and Obstacle Factor Diagnosis of Agricultural Drought Disaster Risk Using Connection Number and Information Entropy
by Yi Cui, Juliang Jin, Xia Bai, Shaowei Ning, Libing Zhang, Chengguo Wu and Yuliang Zhang
Entropy 2022, 24(7), 872; https://0-doi-org.brum.beds.ac.uk/10.3390/e24070872 - 25 Jun 2022
Cited by 8 | Viewed by 1295
Abstract
To promote the application of entropy concepts in uncertainty analysis of water resources complex system, a quantitative evaluation and obstacle factor diagnosis model of agricultural drought disaster risk was proposed using connection number and information entropy. The results applied to Suzhou City showed [...] Read more.
To promote the application of entropy concepts in uncertainty analysis of water resources complex system, a quantitative evaluation and obstacle factor diagnosis model of agricultural drought disaster risk was proposed using connection number and information entropy. The results applied to Suzhou City showed that the agricultural drought disaster risks in Suzhou during 2007–2017 were all in middle-risk status, while it presented a decreasing trend from 2010. The information entropy values of the difference degree item bI were markedly lower than those of the difference degree b, indicating that bI provided more information in the evaluation process. Furthermore, the status of drought damage sensitivity and drought hazard were improved significantly. Nevertheless, high exposure to drought and weak drought resistance capacity seriously impeded the reduction of risk. Thus, the key to decreasing risk was to maintain the level of damage sensitivity, while the difficulties were to reduce exposure and enhance resistance. In addition, the percentage of the agricultural population, population density, and percentage of effective irrigation area were the main obstacle factors of risk and also the key points of risk control in Suzhou. In short, the results suggest that the evaluation and diagnosis method is effective and conducive to regional drought disaster risk management. Full article
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