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Published June 4, 2021 | Version v3

Supporting data for the submission to the WRR journal

Authors/Creators

  • 1. Hong Kong Polytechnic University

Description

It is supporting data for the submission entitled "Uncertainty Quantification of Transient-based Leakage Identification: A Frequency Domain Approach"  to the WRR journal.

1. All figures in fig format.

2. Experimental data of the Perugia Test [Keramat et al. (2019)].

Keramat, A., Louati, M., Wang, X., Meniconi, S., Brunone, B., Ghidaoui, M.S. (2019). Objective Functions for Transient-Based Pipeline Leakage Detection in a Noisy Environment: Least Square and Matched-Filter. Journal of Water Resources Planning and Management, ASCE, 145(10), 04019042.

Files

For submission to Zenodo OK.zip

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