Text files with the ".inp" extension that can be used in EPANET to simulate hydraulic and water quality analyses and which can be used in TEVA-SPOT-GUI. This dataset is associated with the following publication: Janke, R. Mass Imbalances in EPANET Water-quality Simulations. Drinking Water Engineering and Science Discussions. Copernicus Gesellschaft mbH, Gottingen, GERMANY, 25-47, (2018).

Simulation results on water age analysis. Comparison of the results between EPAENT 2.2 and 2.0. This dataset is associated with the following publication: Burkhart, B., and R. Janke. Understanding Water Age in Distribution Systems with EPANET. Journal AWWA. American Water Works Association, Denver, CO, USA, 115(2): 24-34, (2023).

Simulation results on water age analysis. Comparison of the results between EPAENT 2.2 and 2.0. This dataset is associated with the following publication: Burkhart, B., and R. Janke. Understanding Water Age in Distribution Systems with EPANET. Journal AWWA. American Water Works Association, Denver, CO, USA, 115(2): 24-34, (2023).

This ZIP file contains the four EPANET network models used for one of the two water distribution system (WDS) network models (N1) analyzed in the paper titled: “The effect of a loss of model structural detail due to network skeletonization on contamination warning system design: case studies”. The EPANET network models provided here are for the network model named “N1” in this paper. This dataset is associated with the following publication: Janke , R., and M. Davis. The effect of a loss of model structural detail due to network skeletonization on contamination warning system design: case studies. Drinking Water Engineering and Science Discussions. Copernicus Gesellschaft mbH, Gottingen, GERMANY, 1-25, (2018).

This data is for Figures 6 and 7 in the journal article. The data also includes the two EPANET input files used for the analysis described in the paper, one for the looped system and one for the block system. This dataset is associated with the following publication: Grayman, W., R. Murray , and D. Savic. Redesign of Water Distribution Systems for Passive Containment of Contamination. JOURNAL OF THE AMERICAN WATER WORKS ASSOCIATION. American Water Works Association, Denver, CO, USA, 108(7): 381-391, (2016).

Worksheet titled Data for ECM: Data set used to estimate the error correction model to understand how turbidity and other variables affect drinking water treatment costs. Worksheet titled Data for PDL: Data set used to estimate the polynomial distributed lag model to understand how phosphorus load entering reservoir impacts turbidity at the drinking water treatment plant. This dataset is associated with the following publication: Heberling , M., C. Nietch , H. Thurston , M. Elovitz , K. Birkenhauer, S. Panguluri, B. Ramakrishnan, E. Heiser, and T. Neyer. Comparing drinking water treatment costs to source water protection costs using time series analysis.. WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 51(11): 8741-8756, (2015).

Two model input files and all the simulation results in the paper. This dataset is associated with the following publication: Shang, F., H. Woo, J. Burkhardt, and R. Murray. Lagrangian Method to Model Advection-Dispersion-Reaction Transport in Drinking Water Pipe Networks. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT. American Society of Civil Engineers (ASCE), Reston, VA, USA, 147(9): 04021057, (2021).

The data represents Bulk Water Supply Infrastructure for EPI.

Water sharing plans (WSP) are established under the Water Management Act 2000 (the Act) and are prepared for all water sources in NSW. These plans are also a component of Water Resources Plans prepared as a requirement of the Basin Plan 2012, covering water sources in the Murray–Darling Basin. WSP’s are reviewed and replaced periodically (usually every ten years) to ensure the long-term health of ecosystems and communities in specific WSP areas. The review of a WSP includes a formal evaluation to assess appropriateness, efficiency of implementation, effectiveness in meeting plan objectives, and alignment with the Act's requirements. The evaluation follows a step-by-step process which includes a model scenario to represent the effects of Planned Environmental Water (PEW) rules in the WSP. This high-level (“No PEW”) scenario enables a comparison of modelled flows at key locations within the river system between scenarios WITH and WITHOUT plan environmental rules to inform an assessment of the effectiveness of the PEW rules in the WSP. 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 you can join.