Preprints
https://doi.org/10.5194/hess-2022-57
https://doi.org/10.5194/hess-2022-57
 
16 Feb 2022
16 Feb 2022
Status: this discussion paper is a preprint. It has been under review for the journal Hydrology and Earth System Sciences (HESS). The manuscript was not accepted for further review after discussion.

Quantitative effects of antecedent effective rainfall on ID threshold for debris flow

Shaojie Zhang1, Hongjuan Yang1, Dunlong Liu2, Kaiheng Hu1, and Fangqiang Wei1 Shaojie Zhang et al.
  • 1Key Laboratory of Mountain Hazards and Earth Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China
  • 2College of Software Engineering, Chengdu University of Information and Technology, Chengdu, 610225, China

Abstract. Studies have shown that the antecedent effect precipitation (AEP) is closely related to rainfall intensity-duration (ID) threshold of debris flow. However, the quantitative relationship between the AEP and ID threshold is still undetermined. In this study, a hydrological process based numerical model (Dens-ID) that can derive the ID threshold curve is adopted to address this issue. Jiangjia Gully (JJG) in Dongchuan District of Yunnan Province was chosen as the study area, Dens-ID was used to derive a series of ID threshold curves corresponding to different AEP. Based on calculated data sets including AEP, ID curves, parameters of ID curve equation (α and β), and debris flow density, the influence of AEP on the ID threshold curve is deeply explored. We found that although solid materials and runoff are the two necessary conditions for the formation of debris flow, the specific roles played in which are different: the volume of loose solid sources provides a basal condition for debris flow and determines the scale of debris flow, while the runoff volume will have a sudden change during the rainfall process, which is a key factor promoting the formation of debris flow. In the condition of AEP ranging from 20 mm to 90 mm, AEP and α can be described by the equation α = −0.0078AEP2 + 0.68AEP + 6.43, and β shows a linear change law with AEP. The error of the two equations were evaluated using 45 historical rainfall data that triggered debris flows, which is equal to 37.85 % and 11.1 %. Due to the two functions, the ID threshold curve can regularly move in the I-D coordinate system rather than a conventional threshold curve stay the same regardless of AEP variation, it is beneficial to improve the prediction capacity of the ID threshold.

Shaojie Zhang et al.

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2022-57', Anonymous Referee #1, 23 Mar 2022
    • AC1: 'Reply on RC1', Shaojie Zhang, 12 Apr 2022
  • RC2: 'Comment on hess-2022-57', Anonymous Referee #2, 11 Apr 2022
    • AC2: 'Reply on RC2', Shaojie Zhang, 12 Apr 2022

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2022-57', Anonymous Referee #1, 23 Mar 2022
    • AC1: 'Reply on RC1', Shaojie Zhang, 12 Apr 2022
  • RC2: 'Comment on hess-2022-57', Anonymous Referee #2, 11 Apr 2022
    • AC2: 'Reply on RC2', Shaojie Zhang, 12 Apr 2022

Shaojie Zhang et al.

Shaojie Zhang et al.

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Short summary
We use a numerical model to find that the relationships of AEP-α and AEP-β can be respectively described by the specific function. The I-D threshold curve can regularly move in the I-D coordinate system rather than a conventional threshold curve stay the same regardless of AEP variation. This work is helpful to understand the influence mechanism of AEP on I-D threshold curve and are beneficial to improve the prediction capacity of the I-D threshold.