Multivariate Time Series Clustering of Groundwater Quality Data to Develop Data-Driven Monitoring Strategies in a Historically Contaminated Urban Area

Multivariate Time Series Clustering of Groundwater Quality Data to Develop Data-Driven Monitoring Strategies in a Historically Contaminated Urban Area

As groundwater quality monitoring networks have been expanded over the last decades, significant time series are now available. Therefore, a scientific effort is needed to explore innovative techniques for groundwater quality time series exploitation. In this work, time series exploratory analysis a...

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Bibliographic Details
Main Authors: Chiara Zanotti, Marco Rotiroti, Agnese Redaelli, Mariachiara Caschetto, Letizia Fumagalli, Camilla Stano, Davide Sartirana, Tullia Bonomi
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Water
Subjects:
groundwater contamination
diffuse contamination
dynamic time warping
anthropic background level
time series analysis
early warning system
Online Access:https://www.mdpi.com/2073-4441/15/1/148

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