Source Themes

Unveiling water allocation dynamics: a text analysis of 25 years of stakeholder meetings
Managing water resources in regions with high climate variability and frequent extreme weather events poses challenges for …
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Variational Mode Decomposition Hybridized With Gradient Boost Regression for Seasonal Forecast of Residential Water Demand
Climate variability highly influences water availability and demand in urban areas, but medium-term predictive models of residential …
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A data-driven model to evaluate the medium-term effect of contingent pricing policies on residential water demand
The relative scarcity of water resources has encouraged cities to create mechanisms to control water demand and avoid water stress. In …
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Performance of rainwater tanks for runoff reduction under climate change scenarios: a case study in Brazil
Rainwater tanks or cisterns are a low impact development infrastructure used to control stormwater runoff and reduce water demand. …
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Urban Water Demand Modeling Using Machine Learning Techniques: Case Study of Fortaleza, Brazil
Despite recent efforts to apply machine learning (ML) for water demand modeling, overcoming the black-box nature of these techniques to …
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Uncovering the influence of hydrological and climate variables in chlorophyll-A concentration in tropical reservoirs with machine learning
Climate variability and change, associated with increasing water demands, can have significant implications for water availability. In …
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