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Eye4water—Strengthening the Water Management Practices (in EMT-R) through the Development...
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Eye4water—Strengthening the Water Management Practices (in EMT-R) through the Development of Innovative ICT Methodologies and Improvement of Research Infrastructures

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: 20 May 2024 | Viewed by 3898

Special Issue Editors

Dr. Christos S. Akratos

E-Mail Website
Guest Editor
Department of Civil Engineering, Democritus University of Thrace, University Campus, GR-67100 Xanthi, Greece
Interests: water resources; water monitoring; wastewater treatment; constructed wetlands; water quality
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Ifigenia Kagalou

E-Mail Website
Guest Editor
Department of Civil Engineering Polytechnic School, Democritus University of Thrace, Xanthi, Greece
Interests: ecology; water quality; freshwater management; restoration; water governance
Special Issues, Collections and Topics in MDPI journals
Dr. Dionissis Latinopoulos

E-Mail Website
Guest Editor
Department of Civil Engineering, School of Engineering, Democritus University of Thrace, 69100 Komotini, Greece
Interests: lake ecology; river and lake ecohydrology; hydromorphology; monitoring; freshwater management; WFD
Special Issues, Collections and Topics in MDPI journals
Dr. Vassiliki Papaevangelou

E-Mail Website
Guest Editor
Department of Civil Engineering, Democritus Univeristy of Thrace, Komotini, Greece
Interests: water and wastewater treatment; water monitoring; constructed wetlands; environmental analysis; water quality

Special Issue Information

Dear Colleagues,

The main purpose of this Special Issue is to include publication from the main scientific results of the reseacrh project “Strengthening the water management practices (in EMT-R) through the development of innovative ICT methodologies and improvement of research infrastructures” (Eye4water). The editors would like to invite relevant contribuitons targeting remote rural and periurban basins, focusing on novel monitoring techniques and management practices. The main scientific areas of the Special Issue are:

  • Development of highly specialized supporting activities for the systematic monitoring of the quality of natural aquatic ecosystems;
  • Development of an innovative monitoring with main axes, digital, modern technologies, such as telematics and Earth observation;
  • Provision of new biomonitoring tools;
  • Investigation of the response of aquatic communities to human pressures;
  • Development of spatial decision supporting systems, offering solutions in many areas aiming at balanced needs covering;
  • Investigate training of staff of the involved operators and informing the final users with the possibility of continuous provision of services to the structures of regional government. Inclusion of citizen science tecniques, water professionals training and stewardship for effective regional governance.

Dr. Christos S. Akratos
Prof. Dr. Ifigenia Kagalou
Dr. Dionissis Latinopoulos
Dr. Vassiliki Papaevangelou
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 resources
  • monitoring
  • spatial analysis
  • ICT
  • earth observation
  • biomonitoring
  • decision support systems
  • modeling and prediction
  • management enabling new technologies
  • ecohydrology
  • citizen science

Published Papers (4 papers)

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Research

17 pages, 5313 KiB  
Article
Monitoring Water Quality Parameters in Small Rivers Using SuperDove Imagery
by Katerina Vatitsi, Sofia Siachalou, Dionissis Latinopoulos, Ifigenia Kagalou, Christos S. Akratos and Giorgos Mallinis
Water 2024, 16(5), 758; https://doi.org/10.3390/w16050758 - 02 Mar 2024
Viewed by 820
Abstract
Freshwater ecosystems provide an array of provisioning, regulating/maintenance, and cultural ecosystem services. Despite their crucial role, freshwater ecosystems are exceptionally vulnerable due to changes driven by both natural and human factors. Water quality is essential for assessing the condition and ecological health of [...] Read more.
Freshwater ecosystems provide an array of provisioning, regulating/maintenance, and cultural ecosystem services. Despite their crucial role, freshwater ecosystems are exceptionally vulnerable due to changes driven by both natural and human factors. Water quality is essential for assessing the condition and ecological health of freshwater ecosystems, and its evaluation involves various water quality parameters. Remote sensing has become an efficient approach for retrieving and mapping these parameters, even in optically complex waters such as small rivers. This study specifically focuses on modelling two non-optically active water quality parameters, dissolved oxygen (DO) and electrical conductivity (EC), by integrating 3 m PlanetScope satellite imagery with data from real-time in situ remote monitoring sensors across two small rivers in Thrace, Northeast Greece. We employed three different experimental setups using a support vector regression (SVR) algorithm: ‘Multi-seasonal by Individual Sensor’ (M-I-S) for individual sensor analysis across two seasons, ‘Multi-seasonal—All Sensors’ (M-A-S) integrating data across all seasons and sensors, and ‘Seasonal—All Sensors’ (S-A-S) focusing on per-season sensor data. The models incorporating multiple seasons and all in situ sensors resulted in R2 values of 0.549 and 0.657 for DO and EC, respectively. A multi-seasonal approach per in situ sensor resulted in R2 values of 0.885 for DO and 0.849 for EC. Meanwhile, the seasonal approach, using all in situ sensors, achieved R2 values of 0.805 for DO and 0.911 for EC. These results underscore the significant potential of combining PlanetScope data and machine learning to model these parameters and monitor the condition of ecosystems over small river surfaces. Full article
(This article belongs to the Special Issue Eye4water—Strengthening the Water Management Practices (in EMT-R) through the Development of Innovative ICT Methodologies and Improvement of Research Infrastructures)
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23 pages, 11057 KiB  
Article
The Spring to Coast Approach in Small-Scale Catchments and Adjacent Coastal Zone
by Vassiliki Papaevangelou, Katerina A. Bakalakou, Chrysoula Ntislidou, Dionissis Latinopoulos, Nikolaos Kokkos, Konstantinos Zachopoulos, Maria Zoidou, Anastasia Makri, Konstantinos Azis, Nena Ioannidou, Georgios Sylaios, Paraschos Melidis, Spyridon Ntougias, Ifigenia Kagalou and Christos S. Akratos
Water 2024, 16(2), 259; https://doi.org/10.3390/w16020259 - 11 Jan 2024
Viewed by 717
Abstract
Surface waters, particularly rivers, are paramount in serving as the primary global water source and a pivotal economic driver. Various pollution sources can negatively impact water quality. The Water Framework Directive has established regulations that define specific chemical and ecological statuses for rivers. [...] Read more.
Surface waters, particularly rivers, are paramount in serving as the primary global water source and a pivotal economic driver. Various pollution sources can negatively impact water quality. The Water Framework Directive has established regulations that define specific chemical and ecological statuses for rivers. Consequently, there is an ongoing commitment to monitor their quality closely. This study involved the collection of samples from two watersheds (Laspias and Lissos) within the Eastern Macedonia and Thrace Region. The two rivers flow along regions characterized by notable environmental stressors, including WWTP, landfills, industrial zones, and agricultural areas, which also constitute substantial contributors to the local economy. This study’s outcomes, covering from springs to coast, are presented and analyzed using various indices, including the Canadian Council of Ministers of the Environment Water Quality Index (CCME-WQI), discriminate analysis, and the trophic status index (TRIX). Water quality assessment included the measurement of physicochemical parameters, common pollutants, and major ions. The analysis revealed “bad” water quality status along most of the Laspias and in specific sectors of the Lissos, with parameters exceeding the thresholds set by legislation. The rivers demonstrated significant organic and nutrient pollution. Given that water quality in these rivers is significantly influenced by urban, agricultural, and industrial runoff, the imperative need for change necessitates interventions to improve water quality. Observations and measurements are fundamental prerequisites for raising awareness among citizens and stakeholders and for finding effective management measures for the two river basins. Full article
(This article belongs to the Special Issue Eye4water—Strengthening the Water Management Practices (in EMT-R) through the Development of Innovative ICT Methodologies and Improvement of Research Infrastructures)
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18 pages, 2783 KiB  
Article
Detection of Floating Objects on Water Surface Using YOLOv5s in an Edge Computing Environment
by He Li, Shuaipeng Yang, Rui Zhang, Peng Yu, Zhumu Fu, Xiangyang Wang, Michel Kadoch and Yang Yang
Water 2024, 16(1), 86; https://doi.org/10.3390/w16010086 - 25 Dec 2023
Viewed by 1077
Abstract
Aiming to solve the problems with easy false detection of small targets in river floating object detection and deploying an overly large model, a new method is proposed based on improved YOLOv5s. A new data augmentation method for small objects is designed to [...] Read more.
Aiming to solve the problems with easy false detection of small targets in river floating object detection and deploying an overly large model, a new method is proposed based on improved YOLOv5s. A new data augmentation method for small objects is designed to enrich the dataset and improve the model’s robustness. Distinct feature extraction network levels incorporate different coordinate attention mechanism pooling methods to enhance the effective feature information extraction of small targets and improve small target detection accuracy. Then, a shallow feature map with 4-fold down-sampling is added, and feature fusion is performed using the Feature Pyramid Network. At the same time, bilinear interpolation replaces the up-sampling method to retain feature information and enhance the network’s ability to sense small targets. Network complex algorithms are optimized to better adapt to embedded platforms. Finally, the model is channel pruned to solve the problem of difficult deployment. The experimental results show that this method has a better feature extraction capability as well as a higher detection accuracy. Compared with the original YOLOv5 algorithm, the accuracy is improved by 15.7%, the error detection rate is reduced by 83% in small target task detection, the detection accuracy can reach 92.01% in edge testing, and the inference speed can reach 33 frames per second, which can meet the real-time requirements. Full article
(This article belongs to the Special Issue Eye4water—Strengthening the Water Management Practices (in EMT-R) through the Development of Innovative ICT Methodologies and Improvement of Research Infrastructures)
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25 pages, 4858 KiB  
Article
Supporting Participatory Management Planning for Catchment Operationalization with Intuitionistic Fuzzy Sets—A Study in Laspias River, Thrace, Greece
by Thomas Bakas, Christopher Papadopoulos, Dionissis Latinopoulos, Ifigenia Kagalou, Christos Akratos, Panagiotis Angelidis, Fotios-Konstantinos Pliakas and Mike Spiliotis
Water 2023, 15(16), 2928; https://doi.org/10.3390/w15162928 - 14 Aug 2023
Cited by 2 | Viewed by 938
Abstract
Bottom-up management in a catchment scale is deemed the optimal way to avoid conflicts among water users through the participation of stakeholders, strategy co-shaping, and solutions co-creation. Water management cannot be one-dimensional; it demands cross sectoral cooperation. Usually, the difficulty lies in proper [...] Read more.
Bottom-up management in a catchment scale is deemed the optimal way to avoid conflicts among water users through the participation of stakeholders, strategy co-shaping, and solutions co-creation. Water management cannot be one-dimensional; it demands cross sectoral cooperation. Usually, the difficulty lies in proper stakeholder training and inclusion of their opinions, which should be used in a quantifiable manner in water management. The Laspias River watershed occupies an area of 221.8 km2 that includes the River Basin District of Thrace; it is characterized by intense agricultural and industrial activity. To comply with the augmented water needs and pollution loads this research aims to utilize a hybrid intuitionistic fuzzy multi-criteria-based methodology to address respectfully stakeholders’ opinion, this research aims to utilize a hybrid intuitionistic fuzzy multi-criteria-based methodology. It is often difficult to manage planning water management measures as the problems include multiple (conflicting) criteria that are based on stakeholder’s opinions, which are usually imprecise and in a rather qualitative form. This study provides the mathematical tools to reach comprehensive decisions with the public involvement offering a practical solution in an existing problem, that is the proper inclusion of stakeholders’ opinion. The weights are produced based on a stakeholder’s opinion. The alternatives’ ranking is achieved based on the fuzzified intuitionistic version of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and a hierarchy of mitigation problems is achieved via this novel approach. Full article
(This article belongs to the Special Issue Eye4water—Strengthening the Water Management Practices (in EMT-R) through the Development of Innovative ICT Methodologies and Improvement of Research Infrastructures)
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