| publications-2941 |
Other |
2023 |
Prathiwi Widyatmi Putri |
Knappheit in einer Welt des Überflusses: Wasserkrisen in Indonesien und ihre Ursachen (with an English version available in Zenodo) |
Sozialistische Zeitung |
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Data Management & Analytics |
Natural Water Bodies |
|
No abstract available |
101029193 |
|
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| publications-2942 |
Conference proceedings |
2023 |
Prathiwi Putri with editors: Tobias Haller and Ilkhom Soliev |
Water as Commons in Undemocratic Postcolonial South? |
Commons and Policy: Compilation of Inputs and Reflections - IASC Europe and CIS Colloquium Series 2022 |
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Data Management & Analytics |
Natural Water Bodies |
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No abstract available |
101029193 |
|
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| publications-2943 |
Conference proceedings |
2024 |
Nick Pantelidis, Maria Pegia, Damianos Galanopoulos, Konstantinos Apostolidis, Klearchos Stavrothanasopoulos, Anastasia Moumtzidou, Konstantinos Gkountakos, Ilias Gialampoukidis, Stefanos Vrochidis, Vasileios Mezaris, Ioannis Kompatsiaris, Björn Þór Jónsson |
VERGE IN VBS 2024 |
MultiMedia Modeling: 30th International Conference, MMM 2024 |
10.1007/978-3-031-53302-0_32 |
Data Management & Analytics |
Water Distribution Networks |
|
No abstract available |
883484 |
|
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| publications-2944 |
Conference proceedings |
2022 |
Paraskevopoulos, Sotirios, Vrachimis, Stelios, Kyriakou, Marios, Pavlou, Pavlos, Kouzapas, Dimitris, Milis, George, Smeets, Patrick, Eliades, Demetrios, Medema, Gertjan, Polycarpou, Marios, & Panayiotou, Christos |
PathoINVEST: Pathogen Contamination Investigations During Emergencies |
2nd International Joint Conference on Water Distribution Systems Analysis & Computing and Control in the Water Industry (WDSA-CCWI) |
10.4995/wdsa-ccwi2022.2022.14799 |
Data Management & Analytics |
Natural Water Bodies |
|
Emergencies and disasters (such as earthquakes and floods), may contaminate drinking water systems with pathogens, that can affect the health of both First Responders and Citizens. As part of the Horizon 2020 “Pathogen Contamination Emergency Response Technologies” (PathoCERT) project, we are developing a Digital Twin tool (PathoINVEST) to assist First Responders and Water Authorities in investigating and responding efficiently to drinking water contamination events. In this paper, we present preliminary work on PathoINVEST, its architecture, and how it operates with the PathoCERT ecosystem of technologies. Moreover, using an illustrative case study, we demonstrate how PathoINVEST will process data and produce useful insights for the First Responders during a realistic contamination event. This work demonstrates how different research results can be integrated into a holistic water contamination emergency management system, in accordance with the needs of First Responders who need to make decisions within a limited time frame and to reduce the impact of a contamination event. |
883484 |
|
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| publications-2945 |
Conference proceedings |
2023 |
L. Bonatre, B. de la Loma, A. Alsedà, N. van Bel, A. Hommes, J. Van Rijn |
Advancing water quality assurance: validation of a portable real-time sensor for rapid detection of Faecal contamination |
Water Innovation and Circularity Conference |
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Control Systems |
Natural Water Bodies |
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No abstract available |
883484 |
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| publications-2946 |
Conference proceedings |
2022 |
Rafaella Elia, Antonis Savva, Eva Pettemeridou, Theocharis Theocharides |
An Analysis of Machine Learning Classifiers for Joint Operator-UAV Monitoring and Abnormal Command Detection |
International Conference on Unmanned Aircraft Systems (ICUAS) |
10.1109/icuas54217.2022.9836072 |
Data Management & Analytics |
Natural Water Bodies |
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No abstract available |
883484 |
|
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| publications-2947 |
Conference proceedings |
2022 |
Bruun, Eeva; Koponen, Sampsa; Aura, Raija; Kallio, Kari; Attila, Jenni; Keto, Vesa; Kervinen, Mikko; Alasalmi, Hanna; Väkevä, Sakari; Pyhälahti, Timo; Lempinen, Aleksander |
Water Quality Emergency Monitoring Services for Lake Pien-Saimaa in Finland |
|
10.5281/zenodo.8150211 |
Data Management & Analytics |
Natural Water Bodies |
|
No abstract available |
101004157 |
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| publications-2948 |
Other |
2023 |
Consortium |
WQeMS services factsheets in Finnish |
|
10.5281/zenodo.8155597 |
AI & Machine Learning |
River Basins |
|
No abstract available |
101004157 |
|
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| publications-2949 |
Conference proceedings |
2023 |
Vlachos, Konstantinos; Psychalas, Christos; Moumtzidou, Anastasia; Gialampoukidis, Ilias; Vrochidis, Stefanos; Kompatsiaris, Ioannis |
TOWARDS A PARADIGM SHIFT ON MAPPING MUDDY WATERS IN WATER RESERVOIRS WITH SENTINEL-2 USING MACHINE LEARNING |
|
10.5281/zenodo.7855708 |
Data Management & Analytics |
Natural Water Bodies |
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No abstract available |
101004157 |
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| publications-2950 |
Conference proceedings |
2023 |
S. J. Son, M. Y. Lee, J. H. Kim, and S. H. Cho |
GIS-based intelligent decision-making support system for the disaster response of infection diseases |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
10.5194/isprs-archives-xlviii-4-w7-2023-217-2023 |
Simulation & Modeling |
River Basins |
|
Abstract. The study aims to develop GIS technology for managing pathogen contamination disaster situations to cope with the occurrence of disaster situations caused by the climate crisis. This study was conducted in a situation where the budgets of institutions with many emergency rescue workers are being invested worldwide, and there are various risks such as water pollution due to climate change, so it is necessary to develop technologies to respond to them.In this study, methods and technical means for emergency response to pathogen contamination were prepared through professional analysis results based on spatial information, and rapid and accurate pathogen detection, situation recognition, event control and response methods, risk assessment and epidemiological investigation methods, and technologies were developed.Technological means include collecting and analyzing water quality data using satellites and drones, and evaluating the severity and degree of water pollution using social media data and photos. Through these technologies, a GIS platform that can effectively manage and provide data sources, data collection, interoperability, data harmonization, data management, and data processing is established, and commercialization is aimed at real users and field-oriented. These technology developments enable rapid response and response in disaster situations, and can reduce threats to life and safety. |
883484 |
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