Detecting dominant changes in irregularly sampled multivariate water quality data sets

Volume: 22, Issue: 8, Pages: 4401 - 4424
Published: Aug 21, 2018
Abstract
. Time series of groundwater and stream water quality often exhibit substantial temporal and spatial variability, whereas typical existing monitoring data sets, e.g. from environmental agencies, are usually characterized by relatively low sampling frequency and irregular sampling in space and/or time. This complicates the differentiation between anthropogenic influence and natural variability as well as the detection of changes in water quality...
Paper Details
Title
Detecting dominant changes in irregularly sampled multivariate water quality data sets
Published Date
Aug 21, 2018
Volume
22
Issue
8
Pages
4401 - 4424
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