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A data model to manage data for water resources systems modeling

Abdallah, Adel M. ; Rosenberg, David E.

Environmental modelling & software : with environment data news, 2019-05, Vol.115, p.113-127 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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  • Título:
    A data model to manage data for water resources systems modeling
  • Autor: Abdallah, Adel M. ; Rosenberg, David E.
  • Assuntos: Data fusion ; Data management ; Data models ; Data processing ; Datasets ; Metadata ; Open-source ; Relational data bases ; Rivers ; Software development tools ; Systems analysis ; Systems modeling ; Water management ; Water resources ; Water resources management
  • É parte de: Environmental modelling & software : with environment data news, 2019-05, Vol.115, p.113-127
  • Descrição: Current practices to identify, organize, analyze, and serve data to water resources systems models are typically model and dataset-specific. Data are stored in different formats, described with different vocabularies, and require manual, model-specific, and time-intensive manipulations to find, organize, compare, and then serve to models. This paper presents the Water Management Data Model (WaMDaM) implemented in a relational database. WaMDaM uses contextual metadata, controlled vocabularies, and supporting software tools to organize and store water management data from multiple sources and models and allow users to more easily interact with its database. Five use cases use thirteen datasets and models focused in the Bear River Watershed, United States to show how a user can identify, compare, and choose from multiple types of data, networks, and scenario elements then serve data to models. The database design is flexible and scalable to accommodate new datasets, models, and associated components, attributes, scenarios, and metadata. [Display omitted] •We present a data model to organize water resources systems data and models.•Controlled vocabularies link native terms across different datasets and models.•Software tools manage controlled vocabularies and help load datasets.•Modelers can identify and compare available data then serve data to models.
  • Editor: Oxford: Elsevier Ltd
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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