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 3497
Special Issue Editor
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
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
