Hydraulic Modelling As a Decision Making Tool to Test a Water Supply Network Recovery Strategy after a Natural Disaster

Rahul R. Biswas*
Senior Planning Engineer, Christchurch City Council, Christchurch, New Zealand.
Periodicity:November - January'2019
DOI : https://doi.org/10.26634/jfet.14.2.14768

Abstract

Hydraulic modelling is considered as an important tool in the planning and operational decision for a water supply network. Technological advances made a number of evolutions in this field and real time operational modelling is a recent addition. Hydraulic modelling tools have been used extensively for earthquake recovery and what/if investigations in the post-earthquake Christchurch. A number of rebuild strategies have been modelled as part of postearthquake recovery work. Rezoning (smaller pressure zones reduced pressure) of water supply network is proposed to make the network less vulnerable to earthquakes. Rezoned water network was tested using sophisticated hydraulic modelling tools (with real time automatic control systems) and results are reported in this paper. A pilot field study was conducted on future rezoned network to validate the findings of hydraulic modelling study and the findings are also summarised in this article. The field study pointed out a number of low pressure related issues that the hydraulic modelling tools were unable to predict properly. As the model was calibrated using flow and pressure data collected from trunk main infrastructure, it was unable to predict pressure correctly at individual boundaries. A real time hydraulic modelling tool can be a better option for earthquake damage assessments in real time and also to test earthquake vulnerability of the proposed water network. Real time modelling will potentially help to reduce surprises or unusual findings during real time data collections and field-studies.

Keywords

Hydraulic modelling, Natural disaster, Decision making, Earthquake recovery, Water supply

How to Cite this Article?

Biswas, R. R. (2019). Hydraulic Modelling As a Decision Making Tool to Test a Water Supply Network Recovery Strategy after a Natural Disaster. i-manager’s Journal on Future Engineering and Technology , 14 (2), 1-11. https://doi.org/10.26634/jfet.14.2.14768

References

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