Machine learning modeling of lake chlorophyll content in a data scarce region (Northern Patagonia, Chile): insights for environmental monitoring

IF 2.7 3区 环境科学与生态学 Q1 LIMNOLOGY Inland Waters Pub Date : 2024-05-28 DOI:10.1080/20442041.2024.2359329
Luciano Caputo, Cristian Rios Molina, Roxanna Ayllon, Iván Felipe Benavides
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Abstract

Among South America, Chile is highly susceptible to climate change impacts on water resources and ecosystems. Chilean lakes and rivers have been impacted by anthropogenic activities leading to chem...
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数据稀缺地区(智利北巴塔哥尼亚)湖泊叶绿素含量的机器学习建模:对环境监测的启示
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来源期刊
Inland Waters
Inland Waters LIMNOLOGY-MARINE & FRESHWATER BIOLOGY
CiteScore
6.10
自引率
9.70%
发文量
34
审稿时长
>12 weeks
期刊介绍: Inland Waters is the peer-reviewed, scholarly outlet for original papers that advance science within the framework of the International Society of Limnology (SIL). The journal promotes understanding of inland aquatic ecosystems and their management. Subject matter parallels the content of SIL Congresses, and submissions based on presentations are encouraged. All aspects of physical, chemical, and biological limnology are appropriate, as are papers on applied and regional limnology. The journal also aims to publish articles resulting from plenary lectures presented at SIL Congresses and occasional synthesis articles, as well as issues dedicated to a particular theme, specific water body, or aquatic ecosystem in a geographical area. Publication in the journal is not restricted to SIL members.
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