Interactive hydrological modelling and simulation on client-side web systems: an educational case study Article Swipe
YOU?
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· 2022
· Open Access
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· DOI: https://doi.org/10.2166/hydro.2022.061
Computational hydrological models and simulations are fundamental pieces of the workflow of contemporary hydroscience research, education, and professional engineering activities. In support of hydrological modelling efforts, web-enabled tools for data processing, storage, computation, and visualization have proliferated. Most of these efforts rely on server resources for computation and data tasks and client-side resources for visualization. However, continued advancements of in-browser, client-side compute performance present an opportunity to further leverage client-side resources. Towards this end, we present an operational rainfall-runoff model and simulation engine running entirely on the client side using the JavaScript programming language. To demonstrate potential uses, we also present an easy-to-use in-browser interface designed for hydroscience education. Although the use case presented here is self-contained, the core technologies can extend to leverage multi-core processing on single machines and parallelization capabilities of multiple clients or JavaScript-enabled servers. These possibilities suggest that client-side hydrological simulation can play a central role in a dynamic, interconnected ecosystem of web-ready hydrological tools.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.2166/hydro.2022.061
- https://iwaponline.com/jh/article-pdf/24/6/1194/1142959/jh0241194.pdf
- OA Status
- diamond
- Cited By
- 19
- References
- 50
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4308131654
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4308131654Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.2166/hydro.2022.061Digital Object Identifier
- Title
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Interactive hydrological modelling and simulation on client-side web systems: an educational case studyWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-11-01Full publication date if available
- Authors
-
Gregory J. Ewing, Ricardo Mantilla, Witold F. Krajewski, İbrahim DemirList of authors in order
- Landing page
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https://doi.org/10.2166/hydro.2022.061Publisher landing page
- PDF URL
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https://iwaponline.com/jh/article-pdf/24/6/1194/1142959/jh0241194.pdfDirect link to full text PDF
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YesWhether a free full text is available
- OA status
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diamondOpen access status per OpenAlex
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https://iwaponline.com/jh/article-pdf/24/6/1194/1142959/jh0241194.pdfDirect OA link when available
- Concepts
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Client-side, JavaScript, Computer science, Server-side, Leverage (statistics), Workflow, Visualization, Web-based simulation, Server, Distributed computing, Computation, Web application, World Wide Web, Web service, Database, Web API, Web development, Artificial intelligence, Programming languageTop concepts (fields/topics) attached by OpenAlex
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19Total citation count in OpenAlex
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2025: 6, 2024: 9, 2023: 4Per-year citation counts (last 5 years)
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50Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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