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Recovery (Unpublished).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