The Importance of a Three-Waters Hydraulic Modelling Strategy for a Modern Water Authority

Rahul R. Biswas*
Christchurch City Council, Christchurch, New Zealand
Periodicity:December - February'2018
DOI : https://doi.org/10.26634/jce.8.1.14013

Abstract

Water models can be used for concept design, What-If scenarios, emergency damage assessments, real-time decision making, operational decision making, land-use planning, and also to quantify the post-emergency recovery of a threewaters (water supply, wastewater, stormwater) network. Three-waters hydraulic models had been extensively used in Christchurch, New Zealand as part of the post-earthquake damage assessments, emergency response and recovery work. This paper outlines where the hydraulic models have been used in Christchurch, what worked well and what did not. The paper emphasises the importance of a three-waters hydraulic modelling strategy to prepare a water authority for any unforeseen situations and also to take correct, timely, cost-effective decisions for capital works programming and water network planning. Once isolated, individual systems – such as Supervisory Control and Data Acquisition (SCADA), hydraulic model simulation engines, asset management systems, and Geographic Information System (GIS) – are capable of interconnectivity and communication. This paper strongly recommends modern water authorities and relevant management professionals to develop and implement a three-waters modelling strategy for managing and planning three-waters network assets for present and future generations.

Keywords

Strategic Management, Water Asset Management, Hydraulic Modelling, Hydraulic Modelling Strategy, Water Authority, Surface Water, Wastewater, Water Models, Water Supply

How to Cite this Article?

Biswas, R, R. (2018). The Importance of a Three-Waters Hydraulic Modelling Strategy for a Modern Water Authority. i-manager’s Journal on Civil Engineering, 8(1), 47-53. https://doi.org/10.26634/jce.8.1.14013

References

[1]. Biswas, R. R. (2017a). Modelling Seismic effects on a Sewer Network using Infoworks ICM. Indian Journal of Science and Technology, 10(39), 1-9. doi:10.17485/ ijst/2017/ v10i39/116986
[2]. Biswas, R. R. (2017b). Quantifying the Performance of a Post-Earthquake, Post-Rebuild Wastewater Network using Hydraulic Models. Indian Journal of Science and Technology, 10(36), 1-13. doi:10.17485/ijst/2017/v10i36/ 116944
[3]. Biswas, R. R. (2017c). Importance of Smart Monitoring Systems for Efficient Vacuum Sewer Performance and Modelling the Network. International Journal of Computer Sciences and Engineering, 5(8), 218-222. doi: 10.26438/ijcse/v5i8.218222
[4]. Biswas, R. R. & Biswas, T. R. (2017d). Modelling Seismic Effects on a Stormwater Network and Postearthquake Recovery. International Journal of Computer Sciences and Engineering, 5(9), 55-61. doi:10.26438/ijcse/v5i9.5561
[5]. Biswas, R. R. & Biswas, T. R. (2017e). Testing the Performance of Pressure Sewer Systems to reduce Wastewater Overflow. Research Journal of Engineering and Technology, 8(4), 315-321.
[6]. Biswas, R. R., & Biswas T. R. (2017f). Modelling Earthquake Effects on Wastewater Overflow Pollutants. Research J. Science and Tech., 9(4), 663-668. doi: 10.5958/2349 2988.2017.00113.9
[7]. Biswas, R. R. (2018). Evaluating Seismic Effects on a Water Supply Network and Quantifying Post-earthquake Recovery (Unpublished).
[8]. Boulos, P. F., Jacobsen, L. B., Heath, J. E., & Kamojjala, S.(2014). Real-time modelling of water distribution systems: A case study. Journal of American Water Works Association (AWWA), 106(9), E391 – E401. http://dx.doi.org/10.5942/ jawwa.2014.106.0076
[9]. Boulos, P. F., & Niraula, A. (2016). Optimise Operation Using Real-Time Data and Predictive Tools. Journal Optflow, 42(4), 22-24.
[10]. Boulos, P. F. (2017). Smart water network modeling for sustainable and resilient infrastructure. Journal of Water Res ources Management , 31(10) ,3177-3188 . doi:10.1007/s11269-017-1699-1
[11]. Bourke, M., & Stevens, D. (2012). The Christchurch water supply rezoning project. In Water New Zealand Annual Conference, Retrieved from doi:10.5991/ OPF.2016.42.0022
[12]. Fernando, R., Wilson, G., & Pugh, A. (2013, May). Live Modelling with Remotely Controlled Assets, In Proceedings of the Australia's International Water Conference & Exhibition (Ozwater'16), https://www.waternz.org.nz/ Attachment?Action=Downlod &Attachment_id=888
[13]. Johnson, D., & O'Neill, E. (2012). Using Hydraulic Models to Aid the Earthquake Recovery. In Water New Zealand Annual Conference, New. Retrieved from https:// www. waternz.org.nz/Attachment?Action= Download&Attachment_id=888
[14]. Preston, T., & Parsons T. (2016). Christchurch city mega model – Magic or madness? In Water New Zealand Storm Water conference, Nelson. Retrieved from https://www. waternz.org.nz/Attachment?Action=Download&Attachm ent_id=1878
[15]. Pugh, A., & Sourghali, V. (2016). The vision and the journey for predictive modelling. In Proceedings of the Australia's International Water Conference & Exhibition (Ozwater'16), Melbourne, Australia.
[16]. Uber, J. G., Boccelli, D., Woo, H., & Su, Y. (2013). Real- Time Network Hydraulic Modelling: Data Transformation, Model Calibration, and Simulation Accuracy. Technical Report Prepared for National Institute of Home Security, Somerset Kentucky, USA. Retrieved from: http://www. uky.edu/WDST/PDFs/[74]%20Real%20Time%20Network %20Hydraulic%20Modeling.pdf
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.