Data for: sheet flow resistance induced by raindrop impact

The experimental data were used to investigate and quantify the sheet flow resistance induced by raindrop impact.Experimental setup: the flume was 6.0 m long, 0.25 m wide, and 0.3 m deep. The bed of the flume was impervious. Three different bed surfaces were used: a smooth surface (equivalent roughness = 0.009 mm); a 120 mesh gauze bed (equivalent roughness = 0.12 mm); and a 60 mesh water gauze bed (equivalent roughness = 0.25 mm). Two sets of flume experiments, namely, upstream-inflow-alone experiments and upstream-inflow-with-rainfall experiments, were designed. In upstream-inflow-alone experiments, three constant inflow discharges (0.02, 0.04, 0.06, 0.08 and 0.1 m2 min-1) and three kinds of bed surfaces were designed to simulate SF under different surface conditions. In upstream-inflow-with-rainfall experiments, five rainfall intensities, 40, 60, 80, 100, and 120 mm h-1, were used to simulate rainstorms. The experimental data mainly include average flow velocity and water depth of whole flume. Water depth was measured in each 1 m by using a water level measuring needle. There were six observation points for measuring flow depth, positioned at 0.5, 1.5, 2.5, 3.5, 4.5, 5.5 m along the flume centreline. The mean water depth of the flume was the average of all measured points.

THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE

Identifier
DOI https://doi.org/10.17632/r2ckz44b2r.2
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-mh-ronf
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:280976
Provenance
Creator Shen, E
Publisher Data Archiving and Networked Services (DANS)
Contributor Enshuai Shen
Publication Year 2023
Rights info:eu-repo/semantics/openAccess; License: http://creativecommons.org/licenses/by/4.0; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Representation
Resource Type Dataset
Discipline Other