{"title":"河流正在变暖并失去氧气","authors":"Elise Cutts","doi":"10.1029/2023eo230416","DOIUrl":null,"url":null,"abstract":"Researchers used deep learning to fill in the gaps of “patchy” water quality data, revealing decades-long trends toward warmer and less oxygenated rivers that could have worrisome consequences.","PeriodicalId":11945,"journal":{"name":"Eos, Transactions American Geophysical Union","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Rivers Are Warming Up and Losing Oxygen\",\"authors\":\"Elise Cutts\",\"doi\":\"10.1029/2023eo230416\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Researchers used deep learning to fill in the gaps of “patchy” water quality data, revealing decades-long trends toward warmer and less oxygenated rivers that could have worrisome consequences.\",\"PeriodicalId\":11945,\"journal\":{\"name\":\"Eos, Transactions American Geophysical Union\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-11-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Eos, Transactions American Geophysical Union\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1029/2023eo230416\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eos, Transactions American Geophysical Union","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1029/2023eo230416","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Researchers used deep learning to fill in the gaps of “patchy” water quality data, revealing decades-long trends toward warmer and less oxygenated rivers that could have worrisome consequences.
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