A data-driven framework for spatiotemporal characteristics, complexity dynamics, and environmental risk evaluation of river water quality

To evaluate the evolution of river water quality in a changing environment, measuring the objective water quality is critical for understanding the rules of river water pollution. Based on the sample entropy theory and a nonlinear statistical method, this study aims to identify the spatiotemporal dy...

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Veröffentlicht in:	The Science of the total environment 2021-09, Vol.785, p.147134-147134, Article 147134
Hauptverfasser:	Deng, Chenning, Liu, Lusan, Li, Haisheng, Peng, Dingzhi, Wu, Yifan, Xia, Huijuan, Zhang, Zeqian, Zhu, Qiuheng
Format:	Artikel
Sprache:	eng
Schlagworte:	Double mass curve Machine learning Sample entropy Water quality Yangtze River
Online-Zugang:	Volltext
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