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Using AI to Detect Sewage Leaks

Using AI to Detect Sewage Leaks Image Credit: Shutterstock.com / Lizmyosotis A new report suggests using AI to better identify untreated sewage leaks and protect rivers and waterways from severe environmental damage.  UK Researchers have used AI and machine learning to track sewage spills into rivers finding almost 1,000 dark discharges   unidentified spills    over the past 11 years. These spills originated from just two treatment plants.  The team, led by Peter Hammond from the UK Centre for Ecology & Hydrology (UKCEH), used AI to highlight how untreated sewage spilled into rivers is a major  and often underreported  problem. The technique developed by the team could be an important tool in future waste spill identification. 

Green Britain: Slump in number of large moths raises fears for other wildlife

Dr Richard Fox, the associate director of recording and monitoring at Butterfly Conservation, which helped with the research, said: “This decline is worrying because moths play a vital role in our ecosystems. “They are pollinators of many plants, with some wildflowers, such as orchids, relying on visiting moths for reproduction. “They also provide essential food for thousands of animal species, including bats and many familiar birds. Because moths are dwindling, we can be pretty sure that other wildlife are also in decline and that our wider environment is deteriorating.” The Brimstone moth, Opisthograptis luteolata, in Cornwall (Image: GETTY) The report, also written by Rothamsted Research and the UK Centre for Ecology & Hydrology, is based on tens of millions of records gathered by experts and volunteers. The declines are blamed on human activity, particularly habitat destruction and chemical and light pollution.

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