Introducing the Degree of River Regulation (Spatial Dataset)

Celebrating Science Week with Exciting New Data! 🌟

We’re excited to announce a new addition to the SEED Open Data Portal – the Degree of River Regulation (Spatial Dataset). This comprehensive dataset highlights significant tributary junctions in rivers across the NSW Murray-Darling Basin, focusing on the impact of inflows from unregulated or less regulated tributaries join heavily regulated rivers.

Why This Matters:

Celebrating Science Week with Exciting New Data! 🌟

We’re excited to announce a new addition to the SEED Open Data Portal – the Degree of River Regulation (Spatial Dataset). This comprehensive dataset highlights significant tributary junctions in rivers across the NSW Murray-Darling Basin, focusing on the impact of inflows from unregulated or less regulated tributaries join heavily regulated rivers.

Why This Matters:

  • Understand River Health: Explore how tributary inflows can help mitigate the ecological impacts of dams on river systems.
  • Enhance Your Research: If you're involved in water management or environmental studies, this dataset is a goldmine for understanding potential tributary hotspots that drive ecosystem productivity.
  • Community Impact: Learn how changes in river regulation could affect local ecosystems and water availability.

💡 Get Involved! Have you used our open water data before? How could this dataset help in your work or research? We’d love to hear from you! Share your thoughts, experiences, or questions with us by clicking the 'Reply' button below.

Get Started: https://datasets.seed.nsw.gov.au/dataset/degree-of-river-regulation-spatial-dataset

Note: The dataset is available as Web Services, including ESRI Rest Map Services, ESRI Feature Services, WMS, and WFS, and includes a comprehensive PDF report titled "A spatial analysis of tributary effects below large storages in the NSW Murray-Darling Basin." This report, prepared by the Centre for Freshwater Ecosystems at La Trobe University for the NSW Department of Planning, Industry & Environment – Water, provides in-depth insights into how tributary inflows can mitigate changes in water chemistry and enhance ecosystem productivity.

Happy Science Week! 🎉 We look forward to your feedback, comments, or questions.

 

Type
Announcement
Topic
Datasets

Degree of River Regulation (Spatial Dataset)

Overview

This data summarises the results of a spatial analysis to identify significant tributary junctions in rivers, across the NSW Murray-Darling Basin, where inflows from unregulated or less regulated tributaries join heavily regulated rivers. Tributary junctions were characterized in terms of the relative change in the ‘Degree of Regulation’ (DoR) at individual tributary junctions. DoR was calculated as the ratio of the storage capacity of all upstream reservoirs relative to the mean annual runoff. Furthermore, This spatial analysis identifies potential tributary hotspots across the NSW Murray-Dar...
This data summarises the results of a spatial analysis to identify significant tributary junctions in rivers, across the NSW Murray-Darling Basin, where inflows from unregulated or less regulated tributaries join heavily regulated rivers. Tributary junctions were characterized in terms of the relative change in the ‘Degree of Regulation’ (DoR) at individual tributary junctions. DoR was calculated as the ratio of the storage capacity of all upstream reservoirs relative to the mean annual runoff. Furthermore, This spatial analysis identifies potential tributary hotspots across the NSW Murray-Darling Basin (MBD). Rivers often experience major discontinuities in ecological function due to dams, whereby the timing and volume of flow and water chemistry can be significantly altered from upstream to downstream of the dam, impacting ecosystem productivity and aquatic food webs. Tributary inflows from such unregulated catchments can play an important role in mitigating changes in water chemistry below large dams, thereby overcoming the so-called serial discontinuity effect, which describes the impacts of large dams on longitudinal gradients in water chemistry. Because tributary inflows can be rich in nutrients and dissolved carbon, they can lead to ‘priming’ effects, in which biogeochemical processes and ecosystem productivity are enhanced below confluences with more heavily regulated rivers. Yet, there have been few attempts to identify potential priority tributaries that may play a larger role in driving biochemistry and ecosystem function below dams. This spatial analysis identifies significant tributary junctions in rivers, across the NSW Murray-Darling Basin, where inflows from unregulated or less regulated tributaries join heavily regulated rivers. ----------------------------------- Note: If you would like to ask a question, make any suggestions, or tell us how you are using this dataset, please visit the [NSW Water Hub which has an online forum](https://water-hub.seed.nsw.gov.au/thread/search) you can join.

Dataset Resources

Comments

The Degree of River Regulation dataset offers a valuable perspective on how unregulated tributaries can influence water quality and potentially productivity below large dams. This analysis will be useful for managing the changes in riverine productivity associated with river regulation. 

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Keywords
river
spatial data
Linked dataset
08 Aug 2024
  • SEED Web Map
  • PDF
  • ARCGIS REST SERVICE
  • WMS
  • WFS