Prediction of Timing of Watermain Failure Using Gene Expression Models

Author:

Sattar Ahmed M. A.,Gharabaghi B.,McBean Edward A.

Publisher

Springer Science and Business Media LLC

Subject

Water Science and Technology,Civil and Structural Engineering

Reference48 articles.

1. Al-Aghbar A (2005) Automated selected trenchless technology for the rehabilitation of watermains. Master of applied science thesis, Department of Building, Civil, and Environmental Engineering, Concordia University, Canada

2. Al-Barqawi M, Zayed T (2006) Condition rating model for underground infrastructure sustainable watermains. J Perform Constr Facil ASCE 20:126–135

3. Alanne G (2008) Developing a model to predict watermain failures. PhD Dissertation, submitted to University of Southern Queensland

4. Asnaashari A, McBean E, Gharabaghi B, Tutt A (2013) Forecasting watermain failure using artificial neural network modeling. Can Water Res J 38:24–33

5. Aydin N, Mays L, Schmitt T (2014) Technical and environmental sustainability assessment of water distribution systems. Water Resour Manag 28:4699–4713

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