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Integrating GIS with hydrological modeling: practices, problems, and prospects
<span title="">1999</span>
<i title="Elsevier BV">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/mh2ak5zyj5gqtgsiinicxz4pta" style="color: black;">Computers, Environment and Urban Systems</a>
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This paper reviews the practices, the problems, and the prospects of hydrological modeling based on geographic information systems (GIS). The authors argue that current stand-alone and various loose/tight coupling approaches for integrating GIS with hydrological modeling are essentially technology-driven without adequately addressing the conceptual problems involved in the integration. The conceptualizations of space and time embedded in the current generation of GIS are not conceptually
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<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/s0198-9715(98)00052-0">doi:10.1016/s0198-9715(98)00052-0</a>
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... ble with those in the hydrological models. This incompatibility implicitly imposes constraints on the type of hydrological models that can be developed. By reframing the future research agenda from the emerging geographic information science (GIScience) perspective, the authors contend that the integration of hydrological modeling with GIS should proceed with the development of a high-level common ontology that is compatible with both GIS and hydrological models. The new ontological scheme should incorporate alternative conceptualizations of space and time capable of handling cross-scale linkages of hydrological processes. The emerging interoperable paradigm should be the core strategy for the implementation of the new framework. This paper also calls for more research to better handle and communicate the uncertainties in the process of GIScience-based hydrological modeling. GIScience-based hydrological modeling will not only espouse new computational models and implementation strategies that are computingplatform-independent but also liberate us from the constraints of existing hydrological models and the rigid spatial±temporal framework embedded in the current generation of GIS, and enable us to advance hydrological sciences, develop more versatile GIS technologies, and seek innovative applications relevant to societal concerns. #
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