Are more data always better? - Machine learning forecasting of algae based on long-term observations.

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第一作者： D,Atton Beckmann

第一单位： Biological and Environmental Sciences, School of Natural Sciences, University of Stirling, Stirling, United Kingdom. Electronic address: daniel.atton.beckmann@stir.ac.uk.

作者： D,Atton Beckmann ^[1] ; M,Werther ^[2] ; E B,Mackay ^[3] ; E,Spyrakos ^[4] ; P,Hunter ^[5] ; I D,Jones ^[4]

作者单位： Biological and Environmental Sciences, School of Natural Sciences, University of Stirling, Stirling, United Kingdom. Electronic address: daniel.atton.beckmann@stir.ac.uk. ^[1] Swiss Federal Institute of Aquatic Science and Technology, Department of Surface Waters - Research and Management, Dübendorf, Switzerland. ^[2] UK Centre for Ecology and Hydrology, Lancaster Environment Centre, Lancaster, LA1 4AP, United Kingdom. ^[3] Biological and Environmental Sciences, School of Natural Sciences, University of Stirling, Stirling, United Kingdom. ^[4] Biological and Environmental Sciences, School of Natural Sciences, University of Stirling, Stirling, United Kingdom; Scotland's International Environment Centre, School of Natural Sciences, University of Stirling, Stirling, United Kingdom. ^[5]

关键词 Algal blooms Cyanobacteria Early warning Forecasting Freshwater Machine learning

主题词预测(Forecasting);环境监测(Environmental Monitoring);生态系统(Ecosystem);富养化(Eutrophication)

DOI 10.1016/j.jenvman.2024.123478

PMID 39626395

发布时间 2025-01-14

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