Chen, H.; Liang, Q.; Xiao, W.

Outburst flood simulations of various dam failure scenarios from Tsho Rolpa glacial lake, Nepal, 2020

Name: Outburst flood simulations of various dam failure scenarios from Tsho Rolpa glacial lake, Nepal, 2020
Published: 2021-10-07
License: https://eidc.ceh.ac.uk/licences/OGL/plain

https://doi.org/10.5285/f4292d99-de93-4a28-a821-b2a6a826df4c Cite this dataset

This dataset contains maximum water depth and maximum water velocity for 12 different Glacial Lake outburst floods (GLOFs) scenarios of the Tsho Rolpa Lake, Nepal. Also included is the water depth of dam breach flow and discharge of dam breach flow under each scenario. The GLOFs scenarios were created using a simple dam breach model. A high-performance hydrodynamic model was then used to simulate the resulting flood hydrodynamics.

Publication date: 2021-10-07

Formats

Comma-separated values (CSV)
TIFF

Spatial information

Study area
Spatial representation types: Raster
Tabular (text)
Spatial reference system: WGS 84

Temporal information

Temporal extent: 2020-03-31 to 2020-03-31

Provenance & quality

A commonly used empirical breach model was adopted to represent the dam breach formation process caused by overtopping. The breach was assumed to start from a small channel formed at the dam crest (initial breach) and grows into a trapezoidal shape with a side-slope of 1:1 during the time of failure. The model further assumes an initial breach depth and a final breach depth, which can be quantified and prescribed according to current dam conditions. A fully hydrodynamic model based on the 2-D depth-averaged shallow water equations (SWEs) was adopted to predict the flooding processes driven by the flow out of the breach of the moraine dam.

This dataset is included in the following collections

Field survey and glacier lake outburst flood risk assessment data of Tsho Rolpa glacial lake, Nepal

Correspondence/contact details

Xiao, W.

Newcastle University

wen.xiao@ncl.ac.uk

Authors

Chen, H.

Loughborough University

Liang, Q.