Water Quality Sampling Frequency Analysis of Surface Freshwater: A Case Study on Bristol Floating Harbour

Elisa Coraggio*, Dawei Han, Claire L Gronow, Theo Tryfonas

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

10 Citations (Scopus)
215 Downloads (Pure)

Abstract

Water quality monitoring is essential to understanding the complex dynamics of water ecosystems, the impact of human infrastructure on them and to ensure the safe use of water resources for drinking, recreation and transport. High frequency in-situ monitoring systems are being increasingly employed in water quality monitoring schemes due to their much finer temporal measurement scales possible and reduced cost associated with manual sampling, manpower and time needed to process results compared to traditional grab-sampling. Modelling water quality data at higher frequency reduces uncertainty and allows for the capture of transient events, although due to potential constraints of data storage, inducement of noise, and power conservation it is worthwhile not using an excessively high sampling frequency. In this study, high frequency data recorded in Bristol's Floating Harbour as part of the local UKRIC Urban Observatory activities is presented to analyse events not captured by the current manual sampling and laboratory analysis scheme. The frequency components of the time-series are analysed to work towards understanding the necessary sampling frequency of temperature, dissolved oxygen (DO), fluorescent dissolved organic matter (fDOM), turbidity and conductivity as indicators of water quality. This study is the first of its kind to explore a statistical approach for determining the optimum sampling frequency for different water quality parameters using a high frequency dataset. Furthermore, it provides practical tools to understand how different sampling frequencies are representative of the water quality changes.
Original languageEnglish
Article number791595
Number of pages14
JournalFrontiers in Sustainable Cities
Volume3
DOIs
Publication statusPublished - 31 Jan 2022

Bibliographical note

Funding Information:
Many thanks to Bristol City Council's Harbour Master's office for their kind aid in deploying the sensors in the harbour and to Dr. Yiheng Chen that helped with the data collection.

Funding Information:
This work was funded as part of the Water Informatics Science and Engineering Centre for Doctoral Training (WISE CDT) under a grant from the Engineering and Physical Sciences Research Council (EPSRC), grant number EP/L016214/1. This work was supported in part by the Engineering and Physical Sciences Research Council’s (ESPRC) UK Collaboratorium for Research in Infrastructure & Cities (UKCRIC): Urban Observatories grant (ref. EP/P016782/1).

Publisher Copyright:
Copyright © 2022 Coraggio, Han, Gronow and Tryfonas.

Structured keywords

  • Water and Environmental Engineering

Keywords

  • sampling frequency
  • water quality
  • monitoring network design
  • high frequency data analysis
  • wireless sensor network (WSN)

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