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Urban Water Demand Modeling Using Machine Learning Techniques: Case Study of Fortaleza, Brazil
Publisher: ASCE
Abstract: Despite recent efforts to apply machine learning (ML) for water demand modeling, overcoming the black-box nature of these techniques to extract practical information remains a challenge, especially in developing countries. ...
Robust Strategy for Assessing the Costs of Urban Drainage System Designs under Climate Change Scenarios
Publisher: ASCE
Abstract: Uncertainty inherent in precipitation predictions from general circulation model (GCMs) may lead urban drainage systems to be underdesigned (or overdesigned) in the future. This issue can be mitigated with the use of risk ...
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