research
∙
05/22/2023
Conditional normalization in time series analysis
Time series often reflect variation associated with other related variab...
share
research
∙
10/11/2022
Short-term prediction of stream turbidity using surrogate data and a meta-model approach
Many water-quality monitoring programs aim to measure turbidity to help ...
research
∙
06/03/2021
Understanding links between water-quality variables and nitrate concentration in freshwater streams using high-frequency sensor data
Real time monitoring using in situ sensors is becoming a common approach...
research
∙
12/02/2019
SSNdesign – an R package for pseudo-Bayesian optimal and adaptive sampling designs on stream networks
Streams and rivers are biodiverse and provide valuable ecosystem service...
research
∙
02/17/2019
A feature-based framework for detecting technical outliers in water-quality data from in situ sensors
Outliers due to technical errors in water-quality data from in situ sens...
research
∙
10/31/2018
A framework for automated anomaly detection in high frequency water-quality data from in situ sensors
River water-quality monitoring is increasingly conducted using automated...
research
∙
10/30/2018
