Comparative analysis of machine learning methods for prediction of chlorophyll-a in a river with different hydrology characteristics: A case study in Fuchun River, China

Eutrophication is a serious threat to water quality and human health, and chlorophyll-a (Chla) is a key indicator to represent eutrophication in rivers or lakes. Understanding the spatial-temporal distribution of Chla and its accurate prediction are significant for water system management. In this s...

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Veröffentlicht in:	Journal of environmental management 2024-07, Vol.364, p.121386, Article 121386
Hauptverfasser:	Yang, Jun, Zheng, Yue, Zhang, Wenming, Zhou, Yongchao, Zhang, Yiping
Format:	Artikel
Sprache:	eng
Schlagworte:	Chlorophyll-a Correlation analysis Machine learning Natural river Reservoir river Spatial-temporal analysis
Online-Zugang:	Volltext
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