From Uncertainty Assessment to Probability Forecasting for Channelized Debris Flood

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Authors: Siling Zhang
Cited by: 0

Abstract

This dataset supports the manuscript "From Uncertainty Assessment to Probability Forecasting for Channelized Debris Flood" and contains the primary monitoring data and modelling results used to analyze the uncertainty associated with debris flood forecasting during the physical process.Data Files Description1. Rainfall events of debris flood and floodDescription: This file provides the field monitoring data for seven debris flood events from 2014 to 2022. The core data consists of rainfall event duration (D, h), total rainfall (R, mm), and peak rainfall intensity (Imax, mm/h) recorded at the outlet of W-1.2. Results of selection scenarios and model parameterDescription: This file contains the final outputs from the framework proposed in this study. It provides all the results of possible selection scenarios and model parameters through the physical process, with a focus on rainfall patterns, hydrological model parameters, and sediment-related parameters critical to debris flood formation. 3. The probability of runoff thresholdsDescription: This file contains the probability of runoff thresholds associated with different of scenarios and model parameters. Data Format• All files are in CSV (Comma-Separated Values) format.• Timestamps are in China Standard Time (CST, UTC+8).

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
4 January 2026
Document type
Dataset