Assessment of Debris Flow Risk Factors Based on Meta-Analysis—Cases Study of Northwest and Southwest China

Wang, Yuzheng; Zhang, Min; Wang, Hong; Yan, Xu; Zuo, Tianyu

doi:10.3390/su12176841

Cited by 8 publications

(8 citation statements)

References 42 publications

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“…(2) Watershed length, average width, and watershed integrity factor: watershed length refers to the axial length of the watershed, which is generally the same as the main gully length when studying the debris flows (Wang et al, 2020). Since the watershed is mostly irregular in shape, the width characteristic is often expressed as the average watershed width B, which is determined as B F/L, where L is the main channel length.…”

Section: Analysis Of Debris Flow Discriminant Indicatormentioning

confidence: 99%

Discrimination of debris flow in narrow-steep type and wide-gentle type gullies in Wenchuan meizoseismal area

Ji²,

Luo

et al. 2023

Front. Earth Sci.

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The debris flow disasters in the Wenchuan meizoseismal area are dominantly triggered by the gully-type debris flow. Research on its classification method can be of great theoretical value and practical significance for developing targeted prevention measures. The current empirical classification method has some disadvantages, such as inconsistent discrimination criteria and poor practicability. In this paper, in order to overcome these drawbacks, the topography, rainfall, and source characteristics data of 176 gully-type debris flows in the Wenchuan “5.12” meizoseismal area since 2008 were collected and divided into the narrow-steep, transitional, and wide-gentle types based on field investigation. The narrow-steep type gullies are mainly concentrated in small catchments with severe erosion. In contrast, the wide-gentle type gullies are often characterized by big catchments, gentle vertical slopes, and debris flows movement dominated by deposition. An empirical discrimination method for debris flow gullies is proposed based on the characters of the gullies in the meizoseismal area, and a mathematical discrimination model named Gully Geomorphology Index (GGI) is also constructed. The results from existing cases indicated that both methods were accurate to discriminate between the narrow-steep and wide-gentle debris flow gullies. According to the empirical discrimination method, among the 176 channel-type debris flows, the numbers of narrow-steep, transitional, and wide-gentle channel types are 105 (59.66%), 12 (6.82%), and 59 (33.52%), respectively. While for the GGI method, the value 0.05 and 0.10 were defined as the threshold of the three types, and the distribution of the results is 104 (59.09%) for the narrow-steep type, 16 (9.09%) for the transitional type, and 56 (31.82%) for the narrow-steep type, which can better classify the transitional type gullies and is more practical. We hope that the discrimination methods proposed in this paper will help better understand the disaster-causing mechanism and improve the prevention measures of debris flow in the Wenchuan meizoseismal area.

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Section: Analysis Of Debris Flow Discriminant Indicatormentioning

confidence: 99%

Discrimination of debris flow in narrow-steep type and wide-gentle type gullies in Wenchuan meizoseismal area

Ji²,

Luo

et al. 2023

Front. Earth Sci.

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“…Uncertainty and risk related to project management events can be assessed by prior assessment of possibilities (Maceika et al 2021), risk combinations, and their possible impact on the overall achievement of objectives (Bakos and Dumitras , cu 2017;Woźniak 2021). The processes of managing risk and uncertainty are important from the sustainable project management perspective (Wang et al 2020;Zaleski and Michalski 2021). Decisions and approaches that are efficient and effective in managing both risk and uncertainty assure that the project will reach permanent and sustainable goals (Doskočil and Lacko 2018;Xue et al 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

Sustainable Risk Management in IT Enterprises

Trzeciak

2021

Risks

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A synthesis of literature studies covering the determinants of agile project management methods, risk management processes as well as factors influencing the shaping of project success and failure clearly indicates that in most publications on risk in agile managed projects, the human factor is heavily underestimated at the expense of often excessive favoring of procedures. Meanwhile, after analyzing the risk factors that arise in agile-managed IT projects, it became apparent that in addition to aspects such as technology, hardware, system, or even project schedule and cost, the project team is highlighted, which is also the second concept with the GPM P5 Standard for Sustainability in Project Management. Thus, the purpose of this article is to develop a model for risk management in IT projects. As a result of the empirical research carried out by means of an expert interview (108 experts) and a questionnaire survey (123 respondents), a risk management model was developed and six original risk management areas were identified, describing 73.92% of all risk factors that may occur during the implementation of an IT project. Furthermore, empirical studies confirm that basic processes such as risk factor identification, impact assessment, and key risk factor management are used by managers and/or team leaders during the implementation of IT projects.

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“…The characteristic parameters of main debris flow gullies are shown in Table 1. (Longitudinal slope ratio: the ratio of the difference between the elevation of the gully source and the gully mouth of the debris flow to the length of the main gully [1]).…”

Section: Study Site 211 Geological Settingmentioning

confidence: 99%

“…The distribution, storage capacity, morphology, and other characteristic elements of real sources in the source area of the entire basin of the Laomao Mountain debris flow gully were obtained, as shown in Figure 2. (Longitudinal slope ratio: the ratio of the difference between the elevation of the gully source and the gully mouth of the debris flow to the length of the main gully [1]).…”

Section: Study Site 211 Geological Settingmentioning

confidence: 99%

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Rainfall Warning Model for Rainfall-Triggered Channelized Debris Flow Based on Physical Model Test—A Case Study of Laomao Mountain Debris Flow in Dalian City

Wang

Liu

Zhang

et al. 2021

Water

Self Cite

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Debris flows are among the most frequent and hazardous disasters worldwide. Debris flow hazard prediction is an important and effective means of engineering disaster mitigation, and rainfall threshold is the core issue in debris flow prediction. This study selected the Laomao Mountain debris flow in Dalian as the research object and explored the relationship among the percentage of coarse sand content of soil, rainfall conditions and the critical rainfall values that induce debris flows on the basis of field investigation data, combined with the results of a flume test, soil suction measurement and geomechanical analysis. The new multi-parameter debris flow initiation warning models were obtained through the mathematical regression analysis method. The critical rainfall values of debris flows in this area were calculated by the previous research on the mechanism of hydraulic debris flow initiation (HIMM). Lastly, the multi-parameter debris flow initiation warning models were compared and analyzed with the critical rainfall values obtained using the HIMM method and the rainfall information available in historical rainfall data, and the reliability of the models was verified. The comparison results showed that the new multi-parameter debris flow initiation warning models can effectively modify the traditional intensity–duration model and have certain reliability and practical values. They can provide an effectual scientific basis for future work on the monitoring and prediction of debris flow disasters.

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Assessment of Debris Flow Risk Factors Based on Meta-Analysis—Cases Study of Northwest and Southwest China

Cited by 8 publications

References 42 publications

Discrimination of debris flow in narrow-steep type and wide-gentle type gullies in Wenchuan meizoseismal area

Discrimination of debris flow in narrow-steep type and wide-gentle type gullies in Wenchuan meizoseismal area

Sustainable Risk Management in IT Enterprises

Rainfall Warning Model for Rainfall-Triggered Channelized Debris Flow Based on Physical Model Test—A Case Study of Laomao Mountain Debris Flow in Dalian City

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