Advances in Hydroinformatics for Water Data Management and Analysis
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrology".
Deadline for manuscript submissions: closed (15 December 2022) | Viewed by 41413
Special Issue Editors
Interests: hydroinformatics; geographic information systems; hydrologic information systems; environmental modelling; decision support systems
Special Issues, Collections and Topics in MDPI journals
Interests: geographic modeling and simulation; virtual geographic environments; geographic information system
Special Issues, Collections and Topics in MDPI journals
Interests: geographic information science and systems (GIS); cyberGIS; geospatial data science; hydroinformatics; spatial analysis and modeling
Special Issue Information
Dear Colleagues,
Recent years have witnessed a massive increase in the volume and quality of water data available to aid water resources decision makers, managers, and scientists. This has been accompanied by exponential growth in both desktop and cloud computing data storage and computational capabilities. As a result, there are abundant opportunities to drastically change how water data are collected, managed, disseminated, and analyzed—which should ultimately have significant positive impacts on water science, engineering, and management. Indeed, we are at the beginning of a new era in water data science, which brings with it many new and interesting technological and scientific challenges and opportunities. This Special Issue of Water is intended to bring together some of the latest research on hydroinformatics for water data management and analysis. Toward this goal, we are seeking submissions in a wide range of topics including data collection and analysis tools and technologies, hydrologic information systems, distributed hydrologic modeling and simulation, open water data initiatives, big data in hydrology, geographic information technologies in water data, and related areas.
Prof. Daniel P. Ames
Prof. Min Chen
Prof. Shaowen Wang
Dr. Anthony Castronova
Guest Editors
Manuscript Submission Information
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Keywords
- hydroinformatics
- hydrologic information systems
- water data management
- distributed hydrologic modeling
- water resources software
- cloud computing in water resources
- open water data initiatives
- hydrologic data collection technologies
- open water data analysis and modeling
- big data in hydrology
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