A Data-Driven Framework for Spatiotemporal Analysis and Prediction of River Water Quality: A Case Study in Pearl River, China

A Data-Driven Framework for Spatiotemporal Analysis and Prediction of River Water Quality: A Case Study in Pearl River, China

Characterization of the spatiotemporal water quality variation is of utmost importance for water resource management. Changes in water quality have been shown to be significantly affected by uncertain factors such as environmental conditions and anthropogenic activities. However, few studies conside...

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Bibliographic Details
Main Authors: Mengyu Lv, Xiaojun Niu, Dongqing Zhang, Haonan Ding, Zhang Lin, Shaoqi Zhou, Yongdong Zhu
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Water
Subjects:
machine learning
nonparametric statistics
spatiotemporal variation
water quality index (WQI)
water quality prediction
Online Access:https://www.mdpi.com/2073-4441/15/2/257

Internet

https://www.mdpi.com/2073-4441/15/2/257

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