Preprints
https://doi.org/10.5194/essd-2025-105
https://doi.org/10.5194/essd-2025-105
01 Apr 2025
 | 01 Apr 2025
Status: this preprint is currently under review for the journal ESSD.

A detailed streamflow and groundwater salinity dataset for Muttama Creek Catchment, NSW, Australia

Rutger Willem Vervoort, Floris van Ogtrop, Mina Tambrchi, Farzina Akter, Alexander Buzacott, Jason Lessels, James Moloney, Dipangkar Kundu, Feike Dijkstra, and Thomas Bishop

Abstract. Dryland salinity remains a major global natural resource management concern, and which is amplified in Australia. However, limited detailed space-time data sets with observations of stream and groundwater salinity has constrained a deep understanding of the range of processes that can lead to dryland salinity problems in landscapes. The aim of this study is to report on the open dataset resulting from a 14-year data collection effort in a subcatchment of the Murrumbidgee catchment in New South Wales, Australia. Over a 14-year period a series of different sampling campaigns has resulted in a large dataset with hydrogeochemical data which includes both in-situ (field) data and post laboratory analysis of major anions and cations. This data is augmented with observed groundwater levels and publicly available streamflow and climate data. The data set covers 23 groundwater sample sites and 39 surface water sites. Because the data was collected by four distinct groups and over many years, we analyse to see if this has caused a bias in the dataset. In addition, we show the major spatial and temporal trends to provide an overview of the dataset. The dataset is made open access to encourage further research and the current paper shows the richness of the collected data and opportunities for further research.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Share
Rutger Willem Vervoort, Floris van Ogtrop, Mina Tambrchi, Farzina Akter, Alexander Buzacott, Jason Lessels, James Moloney, Dipangkar Kundu, Feike Dijkstra, and Thomas Bishop

Status: open (until 08 May 2025)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Rutger Willem Vervoort, Floris van Ogtrop, Mina Tambrchi, Farzina Akter, Alexander Buzacott, Jason Lessels, James Moloney, Dipangkar Kundu, Feike Dijkstra, and Thomas Bishop

Data sets

A detailed streamflow and groundwater salinity dataset for Muttama Creek Catchment, NSW, Australia Rutger Willem Vervoort et al. https://doi.org/10.25910/m0wp-8890

Muttama Creek Catchment Groundwater data R. Willem Vervoort and Farzina Akter https://doi.org/10.17605/OSF.IO/BEUWK

Model code and software

MuttamaDataPaper Rutger Willem Vervoort et al. https://github.com/WillemVervoort/MuttamaDataPaper

Rutger Willem Vervoort, Floris van Ogtrop, Mina Tambrchi, Farzina Akter, Alexander Buzacott, Jason Lessels, James Moloney, Dipangkar Kundu, Feike Dijkstra, and Thomas Bishop
Metrics will be available soon.
Latest update: 01 Apr 2025
Download
Short summary
A detailed water quality dataset for a 1000 km2 catchment in NSW, Australia is presented. The water quality data for surface and groundwater was collected over 14 years and contains more than 1000 records. Despite missing values and different sampling methods and groups, the data provides a consistent overview of the hydrogeochemistry of the catchment. This dataset is valuable for global modelling studies as well as better understanding of local dryland salinity and water quality processes.
Share
Altmetrics