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Mashups for Effective Hydrological Hazard Management: Applications and Theoretical Approaches
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Mashups for Effective Hydrological Hazard Management: Applications and Theoretical Approaches

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "New Sensors, New Technologies and Machine Learning in Water Sciences".

Deadline for manuscript submissions: 30 June 2025 | Viewed by 3339

Special Issue Editor

Dr. Stathis G. Arapostathis

E-Mail Website
Guest Editor
Department of Geography, Harokopio University, Athens, Greece
Interests: social media; machine/deep learning; disaster management; volunteered geographic information; flood management; data mining/extraction

Special Issue Information

Dear Colleagues,

In the current Special Issue, we aim to create a collection of quality papers on the effective exploitation of multiple data sources for hydrological hazard detection and management. Climate change, in addition to conventional causes of hydrological issues, has highlighted the need for approaches that can contribute to the management of related disasters. Machine/deep learning, satellite data and services, social media, web applications, geographic information systems, and other models (e.g., meteorological) are some of the trends in the field. There is also interesting research on the complementary exploitation of these data sources, and this issue focuses on the latter.

Both applied and theoretical approaches are within the scope of this issue: from applied research, case-study-based database integration, methodology integration, data analysis, and visualization approaches, to systems that utilize various sources and theoretical/conceptual approaches. Additionally, the related articles may focus on one or more phases of the disaster management cycle (e.g., preparedness, tracking, identification, mitigation, risk response, etc.). The Special Issue is not only related to hazard-level events but also to any potential hydrological disastrous event.

Indicative keywords within the scope of the current Special Issue:

  • Database integration;
  • Methodology integration;
  • meteorological data and models;
  • Social media for flood event management;
  • Satellite data services for hydrological management;
  • Other data sources;
  • Mapping for hydrological management;
  • Machine learning/deep learning;
  • Ground truth measurements;
  • Real-world case studies;
  • Disaster identification and preparedness;
  • Disaster mitigation;
  • Web-GIS;
  • Open source applications;
  • Data analysis, mining, and data extraction;
  • Applied research;
  • Disaster management cycle;
  • Management of floods, tsunamis, and other hydrological hazards;
  • Systems;
  • Quantitative, questionnaire-based, and qualitative research;
  • Citizens as sensors;

Dr. Stathis G. Arapostathis
Guest Editor

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

  • hydrological management
  • database integration
  • data mashups
  • social media
  • machine learning
  • language models

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (3 papers)

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Research

17 pages, 5772 KiB  
Article
Discrimination of Spatial and Temporal Variabilities in the Analysis of Groundwater Databases: Application to the Bourgogne-Franche-Comté Region, France
by Abderrahim Bousouis, Abdelhak Bouabdli, Meryem Ayach, Hajar Lazar, Laurence Ravung, Vincent Valles and Laurent Barbiero
Water 2025, 17(3), 384; https://doi.org/10.3390/w17030384 - 30 Jan 2025
Viewed by 661
Abstract
This study highlights the importance of distinguishing the mechanisms driving spatial and temporal variances in groundwater database analyses, with a particular focus on bacteriological contamination processes. Groundwater quality data from the Bourgogne-Franche-Comté region of France forms the basis of this investigation. Specifically, the [...] Read more.
This study highlights the importance of distinguishing the mechanisms driving spatial and temporal variances in groundwater database analyses, with a particular focus on bacteriological contamination processes. Groundwater quality data from the Bourgogne-Franche-Comté region of France forms the basis of this investigation. Specifically, the SISE-EAUX database includes 3569 groundwater samples collected over various dates from 989 monitoring points. The methodology involves structuring the data into three distinct sets: (1) A spatio-temporal dataset without any conditioning; (2) A spatial dataset that assigns the mean values of each parameter to each sampling point; (3) A temporal dataset that captures deviations from the mean for each sampling point and parameter. These datasets enable a separate analysis of spatial and temporal variances. Principal component analysis (PCA) and parameter hierarchical clustering were used to compare the results, yielding valuable insights into the underlying processes. This analysis helps distinguish between factors related to geological or pedological spatial distributions and those associated with climatic events, such as intense rainfall episodes exhibiting seasonal patterns. Such differentiation enhances the understanding of fecal contamination vectors and nitrate pollution, which are often linked to surface and subsurface runoff in vulnerable catchment areas. While conceptually clear, the practical separation of spatial and temporal variability presents challenges. For example, catchments sensitive to surface water inflows during rainfall events are unevenly distributed across the region, correlating with specific natural environments. As a result, areas of high temporal variability are also well-structured spatially, underscoring the interdependence of these two types of variability. This complexity is exemplified by the behavior of iron, which varies in association with surface and subsurface parameters depending on spatial and temporal contexts. Additionally, asynchronous sampling and varying frequencies across sites lead to discrepancies in the average temporal data acquisition between points. These disparities can influence spatial variability calculations, as temporal variability effects are not entirely removed. Despite these challenges, the distinction between spatial and temporal components is essential for a deeper understanding of groundwater quality mechanisms. This refined approach improves diagnostic precision and supports more targeted and effective water resource management strategies. Full article
(This article belongs to the Special Issue Mashups for Effective Hydrological Hazard Management: Applications and Theoretical Approaches)
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21 pages, 9652 KiB  
Article
Technological Advances in Flood Risk Assessment and Related Operational Practices Since the 1970s: A Case Study in the Pikrodafni River of Attica
by G.-Fivos Sargentis, Theano Iliopoulou, Romanos Ioannidis, Matina Kougkia, Ioannis Benekos, Panayiotis Dimitriadis, Antonis Koukouvinos, Dimitra Dimitrakopoulou, Nikos Mamassis, Alexia Tsouni, Stavroula Sigourou, Vasiliki Pagana, Charalampos Kontoes and Demetris Koutsoyiannis
Water 2025, 17(1), 112; https://doi.org/10.3390/w17010112 - 3 Jan 2025
Viewed by 1154
Abstract
As cities have expanded into floodplains, the need for their protection has become crucial, prompting the evolution of flood studies. Here, we describe the operational tools, methods and processes used in flood risk engineering studies in the 1970s, and we evaluate the technological [...] Read more.
As cities have expanded into floodplains, the need for their protection has become crucial, prompting the evolution of flood studies. Here, we describe the operational tools, methods and processes used in flood risk engineering studies in the 1970s, and we evaluate the technological progress up to the present day. To this aim, we reference relevant regulations and legislation and the recorded experiences of engineers who performed hydrological, surveying and hydraulic studies in the 1970s. These are compared with the operational framework of a contemporary flood risk assessment study conducted in the Pikrodafni basin in the Attica region. We conclude that, without the technologically advanced tools available today, achieving the level of detail and accuracy in flood mapping that is now possible would have been unfeasible, even with significant human resources. However, ongoing urban development and growth continue to encroach upon flood plains that have existed for centuries, contributing to increased flood risk. Full article
(This article belongs to the Special Issue Mashups for Effective Hydrological Hazard Management: Applications and Theoretical Approaches)
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24 pages, 16030 KiB  
Article
Prominent Increase in Air Temperatures on Two Small Mediterranean Islands, Lastovo and Lošinj, Since 1998 and Its Effect on the Frequency of Extreme Droughts
by Ognjen Bonacci, Ana Žaknić-Ćatović and Tanja Roje-Bonacci
Water 2024, 16(22), 3175; https://doi.org/10.3390/w16223175 - 6 Nov 2024
Cited by 1 | Viewed by 978
Abstract
The article analyzes the development of air temperatures and precipitation on two remote islands in the Adriatic Sea from 1961 to 2023, examining annual and monthly time scales. Lastovo Island is located in the southern Adriatic, and Lošinj Island is situated 277 km [...] Read more.
The article analyzes the development of air temperatures and precipitation on two remote islands in the Adriatic Sea from 1961 to 2023, examining annual and monthly time scales. Lastovo Island is located in the southern Adriatic, and Lošinj Island is situated 277 km north, and both exhibit a sharp rise in air temperatures since 1998, though precipitation series show no significant trends of an increase or decrease. Using the New Drought Index (NDI) method, this study calculated drought intensities for the period 1961–2023. The analyses conducted in this study undoubtedly indicate a rising frequency and intensity of droughts, with severe droughts doubling and extreme droughts increasing fourfold in the recent period (1998–2023) compared to the previous one (1961–1997). The most pronounced increase in severe and extreme droughts occurs specifically from June to August. This trend is likely applicable to many small Mediterranean Islands, which number over 10,000 and have a permanent population of more than 1.6 million people, with numbers significantly rising during the tourist season. The increased water demand for agriculture and daily use, combined with increased drought risk, not only exacerbates the potential for forest fires but also threatens social structures and ecological conditions. This is particularly critical as the combination of drier conditions and increased fire risk poses a significant challenge, endangering natural landscapes and valuable historical sites that are integral to the islands’ identity and heritage. This study’s findings indicate a dangerous trend likely to persist and worsen with continued increases in air temperatures in the Mediterranean region. Full article
(This article belongs to the Special Issue Mashups for Effective Hydrological Hazard Management: Applications and Theoretical Approaches)
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