Making waves: Knowledge and data fusion in urban water modelling.

ABSTRACT: Mathematical modeling plays a crucial role in understanding and managing urban water systems (UWS), with mechanistic models often serving as the foundation for their design and operations. Despite the wide adoptions, mechanistic models are challenged by the complexity of dynamic processes and high computational demands. Data-driven models bring opportunities to capture system complexities and reduce computational cost, by leveraging the abundant data made available by recent advance in sensor technologies. However, the interpretability and data availability hinder their wider adoption. This paper advocates for a paradigm shift in the application of data-driven models within the context of UWS. Integrating existing mechanistic knowledge into data-driven modeling offers a unique solution tha

SUBMITTER: Duan H 

PROVIDER: S-EPMC11301397 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature