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Machine learning predicts highest-risk groundwater sites to improve water quality monitoring - MSNTo address this challenge, the researchers drew on a huge data set, encompassing more than 140 years of water quality monitoring data for groundwater in the states of North Carolina and Arizona.
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Tech Xplore on MSNReSURF: Stretchable, self-healing water quality sensor enables ultrafast surveillanceClean, safe water is vital for human health and well-being. It also plays a critical role in our food security, supports high-tech industries, and enables sustainable urbanization. However, detecting ...
Researchers created a nanoengineered, self-healing sensor that detects water pollutants in milliseconds without external ...
California State University, Chico water-quality chemist Jackson Webster says he felt a mixture of relief and trepidation when the rain came. The first storm of the season not only tamped down the ...
Machine learning predicts highest-risk groundwater sites to improve water quality monitoring. ScienceDaily. Retrieved June 11, 2025 from www.sciencedaily.com / releases / 2024 / 11 / 241112123152.htm.
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