Experimental dataset on water levels in studying the influences of dry- and wet-bed downstream conditions on multiphase dam break flood wave while 0 to 25% of the dam reservoir is occupied by sedimentation

Published: 21-04-2021| Version 3 | DOI: 10.17632/nc573y67tp.3
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Description

Experimental data collection In this file, all water level data associated with 12 different dam break scenarios were extracted from high-quality experimental video images. The dataset are collected, classified and presented a total of 12 distinct tables in 3 categories based on initial upstream sediment depth; 0 cm, 3 cm and 7.5 cm. Tables 1-4, present the free surface water level data at 20 different locations along the flume and 15 snap times after the dam break, while the upstream reservoir was filled by clear water (no sediment). Dry- and wet-bed initial downstream condition with 2 cm, 4 cm and 5 cm standing water depth are detailed in Table 1-4, respectively. Table 5-8 provide the free surface water level data at all abovementioned sections and snap times while the initial upstream sediment depth is 3 cm (10% of the reservoir height), and dry- or wet-bed downstream with 2 cm, 4 cm and 5 cm standing water depth were considered as initial downstream conditions, respectively. Table 9-12 show the free surface water level data at all sections and snap times while the initial upstream sediment depth is 7.5 cm (25% of the reservoir height), and dry- or wet-bed downstream with 2 cm, 4 cm and 5 cm standing water depth were considered as initial downstream conditions, respectively. Foad Vosoughi, Mohammad Reza Nikoo, Gholamreza Rakhshandehroo, Amir H. Gandomi First author Foad Vosoughi Research Associate, Civil Eng. Department, Shiraz University, Shiraz, Iran. Email address: foad.vosooghi@gmail.com ORCID: 0000-0002-4321-9788 Second author Mohammad Reza Nikoo Associate Professor, Civil Eng. Department, Shiraz University, Shiraz, Iran. Third author Gholamreza Rakhshandehroo Professor, Civil Eng. Department, Shiraz University, Shiraz, Iran. Fourth author Amir H. Gandomi Professor, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia.

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