This presentation describes our research in the field of smart data driven e-services in water resource management, that can be made available to international community and/or specific stakeholders such as companies, citizens, and authorities. This is a complex research subject, requiring deep expertise in several ICT-related research domains such as: Big Data and Smart Data; semantic Internet of Things; context-aware and event-based systems; Cloud computing; Web services; and social Web.
Water is an essential, limited and sensitive life resource, and it is in focus of various persons or groups, from simple citizens to decision persons at country/world level, and, of course, also of scientists from different research fields.
The dynamics of water and the role of humans in the water cycle are not well understood largely because environmental and socio-economic analyses have traditionally been performed separately; and the methods, tools, and data needed for multidisciplinary work are not yet at the required level to satisfactory address problems posed in managing resources in aquatic environments. ICT can contribute to several areas of research such as better understanding of coupled human-natural system dynamics; finding risk mitigation measures for the unintended consequences and side effects like water scarcity, increased pollution, unreasonable use of water, flood, food prices; and can
contribute to the development of strategies for efficient use of water resources.
Understanding Water-Human Dynamics with Intelligent Digital Watersheds introduces the new concept
of Intelligent Digital Watershed(IDW), as a virtual environment that enables to:
- determine the time delay between socio-economic decisions in land management practices and the resulting water quality at multiple scales
- discover patterns, emergent behaviour, dynamic interactions and underlying principles from the integration of heterogeneous data collected or generated by multi-disciplinary simulation models
- develop computational intelligence to fill-in data gaps, improve model parameterization, and understanding of the connectivity among complex social-economic and biophysical systems
- determine needs (data transformation, knowledge extraction/representation, and visualization) for a real-time, multi-domain cyberinfrastructure system using distributed resources to engage a variety of users in watershed science & management (researchers, educators, students, farmers, managers, and the public)
- explore the portability of the algorithms, methods, and knowledge assembled in the IDW to other science domains.
Submitted by: Elena APOSTOL (University Politehnica Bucharest, Computer Science, Romania)
Networking session: Smart Anything Everywhere Initiative
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