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

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

引用次数: 0

摘要

在南美洲，智利的水资源和生态系统极易受到气候变化的影响。智利的湖泊和河流一直受到人为活动的影响，导致化学物质的大量流失。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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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来源期刊

Inland Waters LIMNOLOGY-MARINE & FRESHWATER BIOLOGY

CiteScore

6.10

自引率

9.70%

发文量

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.