activity
20182023
most citedPredicting Sediment and Nutrient Concentrations in Rivers Using High Frequency Water Quality Surrogates

55 citations · 76 across the 7 of their papers we have counts for

collaborators

7 papers

stat.ME2023

Conditional normalization in time series analysis

Puwasala Gamakumara, Edgar Santos-Fernandez, Priyanga Dilini Talagala +3

Time series often reflect variation associated with other related variables. Controlling for the effect of these variables is useful when modeling or analysing the time series. We…

stat.ML2022

Short-term prediction of stream turbidity using surrogate data and a meta-model approach

Bhargav Rele, Caleb Hogan, Sevvandi Kandanaarachchi +1

Many water-quality monitoring programs aim to measure turbidity to help guide effective management of waterways and catchments, yet distributing turbidity sensors throughout networ…

stat.AP2021★ 19 cited

Understanding links between water-quality variables and nitrate concentration in freshwater streams using high-frequency sensor data

Claire Kermorvant, Benoit Liquet, Guy Litt +5

Real time monitoring using in situ sensors is becoming a common approach for measuring water quality within watersheds. High frequency measurements produce big data sets that prese…

stat.ME2019

SSNdesign -- an R package for pseudo-Bayesian optimal and adaptive sampling designs on stream networks

Alan R. Pearse, James M. McGree, Nicholas A. Som +4

Streams and rivers are biodiverse and provide valuable ecosystem services. Maintaining these ecosystems is an important task, so organisations often monitor the status and trends i…

stat.AP2019★ 1 cited

A feature-based framework for detecting technical outliers in water-quality data from in situ sensors

Priyanga Dilini Talagala, Rob J. Hyndman, Catherine Leigh +2

Outliers due to technical errors in water-quality data from in situ sensors can reduce data quality and have a direct impact on inference drawn from subsequent data analysis. Howev…

stat.AP2018★ 55 cited

Predicting Sediment and Nutrient Concentrations in Rivers Using High Frequency Water Quality Surrogates

Catherine Leigh, Sevvandi Kandanaarachchi, James M. McGree +4

A particular focus of water-quality monitoring is the concentrations of sediments and nutrients in rivers, constituents that can smother biota and cause eutrophication. However, th…