Numerical investigation of flash flood dynamics due to cascading failures of natural landslide dams

Yang, Qingyuan; Guan, Mingfu; Peng, Yong; Chen, Huayong

doi:10.1016/j.enggeo.2020.105765

Cited by 23 publications

(6 citation statements)

References 47 publications

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“…This is consistent with the results of several other studies where the construction of dams and ecological modernization can have different impacts on flooding and physical damage depending on various factors such as location, design, and implemented policies [30]. Dam construction can also affect river flow and prevent downstream flooding but can also cause upstream flooding due to water retention [31]. Floods can impact the environment [32], agriculture [33], and significantly hinder human activities [34].…”

Section: Ecological Modernization Risks: Mining Activities With Dam C...supporting

confidence: 89%

Exploring Social, Physical, and Mental Risks of Ecological Modernization Through Dam Construction: A Case Study of PT. Vale Indonesia's Mining Activities

Muis,

Agustang,

Maru

et al. 2024

IJSDP

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Mining activities can have a significant impact on ecology, either directly or indirectly. From 1977 to 2011, PT. Vale Indonesia had continuously carried out ecological modernization to produce a supply of energy for production. Even though it has carried out ecological modernization through the construction of dams, it still poses some bad risks. This study aims to analyze the impacts and risks arising from ecological modernization through the dam construction. Data collection included interviews, observations, focus group discussions, and documentation. This study also leveraged the Nvivo 12 Plus analysis tool for coding the data. The findings of this study indicate that ecological modernization through dam construction has significant impacts and risks. Physical impacts and risks include flood portraits that impact the activities of the surrounding community, including residents' settlements and plantations. The social impacts and risks include the loss of people's livelihoods, particularly in the agricultural and plantation sectors. The worst conditions of this social risk tend to erode social feelings, thus leading to the birth of a society without feelings, sensitivity, togetherness, and social responsibility in the social community. Mental risks include the community's mental health due to the accumulation of physical and social risks. Important implications of these findings for policymakers, practitioners, and other stakeholders are involved in the ecological modernization and construction of dams. These findings highlight the importance of considering ecological, physical, social, and mental impacts in the planning and implementing of projects such as dam construction. Stakeholders should focus on protecting the environment, physical security, and the social and mental well-being of the community.

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Section: Ecological Modernization Risks: Mining Activities With Dam C...supporting

confidence: 89%

Exploring Social, Physical, and Mental Risks of Ecological Modernization Through Dam Construction: A Case Study of PT. Vale Indonesia's Mining Activities

Muis,

Agustang,

Maru

et al. 2024

IJSDP

View full text Add to dashboard Cite

show abstract

“…U n i is the variable's value at time n, U n+1 i is the variable's value at time n+1, and En x + Gn y denotes the flux crossing the edges of the mesh. The calculation process is shown in Figure 4.The calculation codes used in this study have been successfully used in former studies by the author (Yang et al, 2020). The simulation region covers most parts of the Zhongdu River, and the number of the simulation mesh is about 150,000.…”

Section: Methodsmentioning

confidence: 99%

Numerical Investigation of a Flash Flood Process that Occurred in Zhongdu River, Sichuan, China

et al. 2021

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In 2018, a flash flood occurred in the Zhongdu river, which lies in Yibin, Sichuan province of China. The flood caused many casualties and significant damage to people living nearby. Due to the difficulty in predicting where and when flash floods will happen, it is nearly impossible to set up monitors in advance to detect the floods in detail. Field investigations are usually carried out to study the flood propagation and disaster-causing mechanism after the flood’s happening. The field studies take the relic left by the flash flood to deduce the peak level, peak discharge, bed erosion, etc. and further revel the mechanism between water and sediment transport during the flash flood This kind of relic-based study will generate bigger errors in regions with great bed deformation. In this study, we come up with numerical simulations to investigate the flash flood that happened in the Zhongdu river. The simulations are based on two-dimensional shallow water models coupled with sediment transport and bed deformation models. Based on the real water level and discharge profile measured by a hydrometric station nearby, the numerical simulation reproduced the flash flood in the valley. The results show the flood coverage, water level variation, and velocity distribution during the flood. The simulation offers great help in studying the damage-causing process. Furthermore, simulations without considering sediment transport are also carried out to study the impact of bed erosion and sedimentation. The study proved that, without considering bed deformation, the flood may be greatly underestimated, and the sediment lying in the valley has great impact on flood power.

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“…Dam failures are usually caused by multiple risk factors acting simultaneously, while the risk has evolution characteristics of transformation and decomposition [31,32]. Thus, CLDs based on System Dynamics are well suited for deriving the BN network for earthen dam failure, which provides an effective way to explore the logical relationship of dam failure risk factors.…”

Section: Causal Loop Diagram Based On System Dynamicsmentioning

confidence: 99%

A Bayesian Method for Dam Failure Risk Analysis using Causal Loop Diagrams and Word Frequency Analysis

Wang

et al. 2023

Preprint

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Earthen dams operate in complex environments where their safety is often affected by multiple uncertain risks. A Bayesian network (BN) is often used to analyze the dam failure risk, which is an effective tool for this issue as its excellent ability in representing uncertainty and reasoning. The validity of the BN model is strongly dependent on the quality of the sample data, making convincing modeling rationale a challenge, which limits its use. There has been a lack of systematic analysis of the dam failure data of China, which further leads to a lack of in-depth exploration of potential associations between risk factors. In this paper, we established a comprehensive database containing various dam failure cases in China. Herein, historical dam failure statistics are used to develop BN models for risk analysis of earthen dams in China. In order to unleash the value of the historical data, we established a Bayesian network through the Causal Loop Diagrams (CLD) based on the nonlinear causal analysis. We determined the conditional probabilities using Word Frequency Analysis (WFA). By comparing with the Bayesian learning results, the modeling method of BN proposed in our study has apparent advantages. According to the BN model established in this paper, the probabilities of dam failure with three damage modes of seepage damage, overtopping and structural instability are 22.1%, 58.1%, and 7.9%, respectively. In addition, we demonstrated how to perform the inference process of the dam failure path. This will provide helpful information for dam safety practitioners in their decision-making process.

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Numerical investigation of flash flood dynamics due to cascading failures of natural landslide dams

Cited by 23 publications

References 47 publications

Exploring Social, Physical, and Mental Risks of Ecological Modernization Through Dam Construction: A Case Study of PT. Vale Indonesia's Mining Activities

Exploring Social, Physical, and Mental Risks of Ecological Modernization Through Dam Construction: A Case Study of PT. Vale Indonesia's Mining Activities

Numerical Investigation of a Flash Flood Process that Occurred in Zhongdu River, Sichuan, China

A Bayesian Method for Dam Failure Risk Analysis using Causal Loop Diagrams and Word Frequency Analysis

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