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Mapping the seed corpus: where the water industry's suppliers cluster ◇ Desalination past the 100-million-m³/day mark: what the project data shows ◇ Tracker: China's water agenda — reuse mandates, sponge cities, leakage targets ◇ EU adopts recast Urban Wastewater Treatment Directive ◇ Beyond capture: PFAS destruction technologies move from lab to field ◇ India's Jal Jeevan Mission passes three-quarters of rural households connected ◇ US EPA finalizes first national PFAS drinking-water standards ◇ Thames Water crisis deepens as shareholders withhold new equity ◇Mapping the seed corpus: where the water industry's suppliers cluster ◇ Desalination past the 100-million-m³/day mark: what the project data shows ◇ Tracker: China's water agenda — reuse mandates, sponge cities, leakage targets ◇ EU adopts recast Urban Wastewater Treatment Directive ◇ Beyond capture: PFAS destruction technologies move from lab to field ◇ India's Jal Jeevan Mission passes three-quarters of rural households connected ◇ US EPA finalizes first national PFAS drinking-water standards ◇ Thames Water crisis deepens as shareholders withhold new equity ◇

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scholarly articleOA: unknown

An integrated data decomposition and feature selection–based hybrid machine learning framework for enhanced hourly wastewater inflow forecasting at a wastewater treatment plant in Oahu, Hawaii

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Journal of Hydrology: Regional Studies · 2026

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An integrated data decomposition and feature selection–based hybrid machine learning framework for enhanced hourly wastewater inflow forecasting at a wastewater treatment plant in Oahu, Hawaii ↗

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An integrated data decomposition and feature selection–based hybrid machine learning framework for enhanced hourly wastewater inflow forecasting at a wastewater treatment plant in Oahu, Hawaii · WaterAtlas