A Relational Data Model for Advancing Stormwater Infrastructure Management
نویسندگان
چکیده
To date, the knowledge benefits that can result from growing abundance of measured stormwater data have yet to be fully realized within industry. Obstacles due format and storage, retrieval, quality control limited size impact accessing known data, resulting in are often siloed by project or objective, which inhibits advancements our understanding, as well decision making information sharing across municipalities. Consortium Universities for Advancement Hydrologic Sciences, Inc. (CUAHSI)’s observations model (ODM) is a relational designed organize disparate types data; however, it does not provide avenues storage monitoring–specific metadata. facilitate infrastructure analysis, Villanova (SIDM), constructed comparably ODM1, was created adding removing tables ODM1 structure, along with other modifications enable efficient access. The novel presented here facilitates comprehensive spatiotemporal analysis specific systems overcome traditional siloes harness through avenues. structure SIDM enables stormwater-specific managed efficiently only regarding function performance but advance science around planning management, researchers, utilities, In this paper, we describe logic design, model, applications green installations. This has potential insight open door modeling advancement physics-based models beyond artificial intelligence, data-informed planning, operation, maintenance systems.
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ژورنال
عنوان ژورنال: Journal of sustainable water in the built environment
سال: 2023
ISSN: ['2379-6111']
DOI: https://doi.org/10.1061/jswbay.sweng-478