Debris-flow barrier dams (DFBDs) not only reshape the original hydrological and geological conditions but may also trigger secondary disasters such as outburst floods and upstream aggradation. Data on DFBDs is crucial for related research. However, there is no dataset for DFBDs has been established. To fill this gap, we adopted a rigorous data collection and validation process, reviewed 2519 literatures and media reports, and constructed a dataset of 555 DFBD events. The dataset comprehensively records 36 attributes of the DFBDs, including location, country, trigger, the date of formation, reliability, debris flow density, debris flow velocity, dam length, height, width, volume, blocking mode, stability, longevity, dam material, lake length, lake volume, lake area, failure mechanism, peak discharge, and loss of life, etc.
In the process of building the dataset, we adopted a comprehensive and systematic approach to collect and analyze data. The data sources, totally 2519,mainly included peer-reviewed scientific literature, data released by government agencies, proceedings from professional conferences, and reports from authoritative news media.
We followed three meticulously designed steps: First, we conducted a comprehensive search for DFBD events; second, we reviewed and validated key data; and lastly, we carried out data complementation.
The data quality is good.
| # | number | name | type |
| 1 | 2019QZKK0902 | other |
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CSTR:11738.11.NCDC.ZENODO.DB6699.2024
10.5281/zenodo.13382846