the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Investigation of the functional relationship between antecedent rainfall and the probability of debris flow occurrence in Jiangjia Gully, China
Shaojie Zhang
Hongjuan Yang
Juan Ma
Dunlong Liu
Abstract. A larger antecedent effective precipitation (AEP) indicates a higher probability of a debris flow (Pdf) being triggered by subsequent rainfall. There are a number of scientific topics surrounding this qualitative conclusion that can be raised, including what kinds of variation rules do they follow, and whether there is a boundary limit. To answer these questions, Jiangjia Gully in Dongchuan, Yunnan province, China, was chosen as the study area, and a numerical calculation, rainfall scenario simulation, and Monte Carlo integration method were used to calculate the occurrence probability of debris flow under different AEP conditions and derive the functional relationship between Pdf and AEP. The relationship between Pdf and AEP can be quantified by a piecewise function, and Pdf reaches a maximum value of 18.96 % after the AEP exceeds 110 mm, indicating that debris flow in nature has an extremely small probability compared to the rainfall frequency. Data from 1094 rainfall events and 37 historical debris flow events were collected to verify the reasonability of the functional relationship. The results indicate that the first two stages of the piecewise function are highly correlated with the observation results. Our study confirms the correctness of the qualitative description of the relationship between AEP and Pdf, clarifies that debris flow is a small probability event compared to rainfall frequency, and quantitatively reveals the evolution law of debris flow occurrence probability with AEP, which can provide a clear reference for the early warning of debris flows.
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Shaojie Zhang et al.
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RC1: 'Comment on hess-2022-263', Anonymous Referee #1, 07 Nov 2022
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Peer review report on “Investigation of the functional relationship between antecedent rainfall and the probability of debris flow occurrence in Jiangjia Gully, China” (hess-2022-263)
This paper presents the effect of the antecedent effective precipitation (AEP) on rainfall ID threshold of debris flow (DF) using a physics-based model (Dens-ID) with extensive long-term monitoring rainfall and DF data at a well-known DF study site, Jiangjiagou, in China. This research focus on the very important topic of understanding the generation of DF and the link between the probability of DF and rainfall ID as well as AEP. This paper can be a significant contribution after revisions that will address the presentation issues and following comments.
Jiangjiagou is ideal for DF study because the extensive monitoring data are available and preliminary studies. However, it is still necessary to provide more environmental settings, such as climate, geomorphometry, vegetation, and soil types, since they all highly related to DF generation and behavior. A comprehensive description of the background also informs readers a proper analogue to DF that happened in a similar setting they are familiar. It also informs an effective comparison to DF that happened in a different setting. Both of which could improve the significance of the study.
There is a great space to improve the presentation of this manuscript. First, it is worthy to substantially improve the language. I have trouble to follow this work due to its language. BUT I found it becomes easier for me if it is literally, word by word, translated into Chinese, which is my first language. The description of the Dens-ID model also needs to be improved. Terms used in equations are lost. Results can also be presented in a better and more concise way.
This work is built up from a previous model development paper (Zhang et al., 2020), in which the density-based identification of DF was introduced in detail and the development of the rainfall ID curve was also described. The description of the Dens-ID model here should be concise but convey key information, rather than simply rephasing or copying the text from Zhang et al (2020). Additionally, I am wondering how the Den-ID model represent the DF generation without consideration of momentum law. It seems the occurrence of a DF is determined by the density of the soil-water mixture, in which soil and water are estimated by a safety factor equation and a infiltration method, respectively.
Discussion should be separated from results for this study. I’d like to read a comprehensive discussion on insights of certain results and observations. For instance, we already know the small DF probability compared with rainfall from existing data. What is the additional information the simulations provide? What can I learn by reading the simulated data? Is the Pdf and AEP curve unique to Jiangjiagou or how can I transfer this curve to other watersheds? Could you compare the different stages of this curve with previously studies of DF in this watershed and other watersheds in different geographic environments?
References
Zhang, S.J., Xu, C.X., Wei, F.Q., Hu, K.H., Xu, H., Zhao, L.Q., Zhang, G.P.: A physics-based model to derive rainfall intensity-duration threshold for debris flow. Geomorphology, 351, 106930, 2020.
Citation: https://doi.org/10.5194/hess-2022-263-RC1 -
AC1: 'Reply on RC1', Shaojie Zhang, 03 Dec 2022
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Dear Reviewer,
The authors appreciate the reviewer to carefully review our manuscript. The authors also read the reviewers' comments carefully. The reviewer thought that “This paper can be a significant contribution after revisions that will address the presentation issues and following comments”. We are greatly encouraged and believe that the professional suggestions will be very helpful to improve the readability of our manuscript.
According to the author's understanding, the presented suggestions by the reviewer can be summarized into the following four contents: (1) provide more environmental settings, such as climate, geomorphometry, vegetation, and soil types, since they all highly related to DF generation and behavior; (2) improve the language and the description of the Dens-ID model, and present Results in a better and more concise way; (3) Question about how the Den-ID model represent the DF generation without consideration of momentum law; (4) Detailed suggestions on the Discussion.
The authors will totally accept the reviewer's suggestions and try the best to modify the manuscript in accordance with the reviewer's comments. The author believes that the quality of the manuscript can be effectively improved after revising the manuscript.
Citation: https://doi.org/10.5194/hess-2022-263-AC1
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AC1: 'Reply on RC1', Shaojie Zhang, 03 Dec 2022
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Shaojie Zhang et al.
Shaojie Zhang et al.
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