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Functionalized 2D membranes for separations at the 1-nm scale
The ongoing evolution of two-dimensional (2D) material-based membranes has prompted
the realization of mass separations at the 1-nm scale due to their well-defined selective …
the realization of mass separations at the 1-nm scale due to their well-defined selective …
Rewards, risks and responsible deployment of artificial intelligence in water systems
Artificial intelligence (AI) is increasingly proposed to address deficiencies across water
systems, which currently leave about 25% of the global population without clean water …
systems, which currently leave about 25% of the global population without clean water …
Stream water quality prediction using boosted regression tree and random forest models
Reliable water quality prediction can improve environmental flow monitoring and the
sustainability of the stream ecosystem. In this study, we compared two machine learning …
sustainability of the stream ecosystem. In this study, we compared two machine learning …
Changes in China's river water quality since 1980: management implications from sustainable development
Human activities and climate change threaten water quality in China's rivers. We simulated
the monthly concentrations of riverine total nitrogen (TN), ammonia-nitrogen (NH3-N), total …
the monthly concentrations of riverine total nitrogen (TN), ammonia-nitrogen (NH3-N), total …
The economics of nutrient pollution from agriculture
Nutrient pollution from agricultural sources, coming primarily from fertilization of row crops
and manure from livestock operations, affects ecological health in the United States through …
and manure from livestock operations, affects ecological health in the United States through …
[HTML][HTML] Geospatial artificial intelligence (GeoAI) in the integrated hydrological and fluvial systems modeling: Review of current applications and trends
This paper reviews the current GeoAI and machine learning applications in hydrological and
hydraulic modeling, hydrological optimization problems, water quality modeling, and fluvial …
hydraulic modeling, hydrological optimization problems, water quality modeling, and fluvial …
Identifying the drivers of chlorophyll-a dynamics in a landscape lake recharged by reclaimed water using interpretable machine learning
The water quality of lakes recharged by reclaimed water is affected by both the fluctuation of
reclaimed water quality and the biochemical processes in the lakes, and therefore the main …
reclaimed water quality and the biochemical processes in the lakes, and therefore the main …
The influence of nano filter elements on pressure drop and pollutant elimination efficiency in town border stations
Natural gas stands as the most ecologically sustainable fossil fuel, constituting nearly 25%
of worldwide primary energy utilization and experiencing rapid expansion. This article offers …
of worldwide primary energy utilization and experiencing rapid expansion. This article offers …
A random forest in the great lakes: Stream nutrient concentrations across the transboundary great lakes basin
Excess nutrient inputs from agricultural and urban sources have accelerated eutrophication
and increased the incidence of algal blooms in the Great Lakes Basin (GLB). Lake basin …
and increased the incidence of algal blooms in the Great Lakes Basin (GLB). Lake basin …
A review of machine learning in geochemistry and cosmochemistry: method improvements and applications
The development of analytical and computational techniques and growing scientific funds
collectively contribute to the rapid accumulation of geoscience data. The massive amount of …
collectively contribute to the rapid accumulation of geoscience data. The massive amount of …