Abstract
The management of the riverine water has always remained an open challenge. The variation of water flow creates hurdles to determine the exact time and the quantity of water flow caused by the spatio-temporal complex streamflow and flood risk reduction domain. From a management perspective, irregular flow patterns generate various challenges and the development of irrigation water distribution schemes without contextual knowledge integration adversely affect the relevant community. The river streamflow and flood mitigation domains are interdisciplinary that require coordination from the various stakeholders. Coordination limiting factors includes native data acquisition methodology of each stakeholder for their specific needs, the complexity of the domain involving a heterogeneous group of managers, spatio-temporal context, region-specific terminologies, data sharing, and reusability support. Earlier proposed research and developed ontologies by the esteemed researchers focused to address these challenges in a domain-specific context. In this research, we review the challenges of a large scale spatio-temporal system for streamflow of watersheds and flood disaster management based on the ontological semantic models. This research also examines the proposed ontological models for streamflow and/or flood domain, and how they address such challenges. Furthermore, a systematic review of the last two decades’ research articles is conducted and the findings are presented to assess the mappings of the challenges to proposed solutions through ontological modeling for streamflow and flood domain.
Highlights
Flood disaster affects an agricultural country’s communities by casualties, injuries, infrastructure damages, livelihood directly and economy of the country indirectly depending on the magnitude of the flood
The coordination challenge demands a common conceptualization of the streamflow for understanding, modularization, extendibility, accessibility, and reusability of integrated flood information as reported by Agresta et al[1]
We found the following basic search strings to be most appropriate for the river streamflow and semantic-based flood models from the research objectives and exploratory search
Summary
Flood disaster affects an agricultural country’s communities by casualties, injuries, infrastructure damages, livelihood directly and economy of the country indirectly depending on the magnitude of the flood. A flood is one of the most frequent and devastating disaster, especially for agricultural countries having complex irrigation networks with spatio-temporal streamflow variation and managed by the various administrative authorities with a different mandate. A flood management system usually requires an integrated and inter-operable information representation portal for a community-centric watershed with river characteristics, rainfall conditions, stream-flow data, community location, accessibility to a safe location, effective coordination mechanism among response providers, and disaster managing organization. One major challenge of flood disaster is the coordination among stakeholders for pre-, during, and post-flood disaster activities to mitigate its adverse effects. The coordination challenge demands a common conceptualization of the streamflow for understanding, modularization, extendibility, accessibility, and reusability of integrated flood information as reported by Agresta et al[1]
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