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Journal articles on the topic 'Dam Safety Management'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Jeon, Jesung, Jongwook Lee, Donghoon Shin, and Hangyu Park. "Development of dam safety management system." Advances in Engineering Software 40, no. 8 (2009): 554–63. http://dx.doi.org/10.1016/j.advengsoft.2008.10.009.

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2

Liu, Ming Hui. "Design and Implementation of Dam Safety Monitoring and Management System." Advanced Materials Research 651 (January 2013): 949–54. http://dx.doi.org/10.4028/www.scientific.net/amr.651.949.

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The dam safety monitoring is the key factor to evaluate the operating status of the dam and ensure its normal operation. To improve the efficiency and accuracy of dam safety monitoring, it is necessary to develop a set of practical security software for monitoring and management. This paper discusses the practical significance of dam safety supervisory managerial system, the existing problems as well as the related solutions. Meanwhile, this paper also comes up with the design and implementation program against this background, which achieves the dam safety monitoring data’s efficient acquisit

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3

Silva, Luiz Claudio, Ubirajara Aluizio de Oliveira Mattos, and Julio Cesar da Silva. "Dams safety: an analysis of safety management and the difficulties of its supervision." Ciência e Natura 45 (March 31, 2023): e6. http://dx.doi.org/10.5902/2179460x72372.

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Despite the notable benefits that dams bring to society, they involve immediate and potential risks and impacts, which makes dam safety extremely important. This narrative review paper compares dam safety concepts, including that established in the Brazilian National Dam Safety Policy – PNSB, as well as analyzes the supervision difficulties reported by Brazilian federal and state agencies. Several national and international institutions define dam safety, but considering those presented in this paper, convergency was found out regarding the concept of maintaining structural integrity and opera

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4

Li, Lihui, and Dan Wu. "Research on Dam Safety and Risk Management in Water Conservancy Engineering." Journal of Architectural Research and Development 9, no. 2 (2025): 22–27. https://doi.org/10.26689/jard.v9i2.10096.

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As the country with the highest number of dams in the world, China’s dam safety management and risk control are crucial to public safety and economic development. This paper systematically analyzes the current status of dam safety in China, explores the causes of accidents such as design and construction defects, poor operation management, the impact of natural disasters, and proposes comprehensive dam safety management measures based on these analyses.

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5

Zhou, Xingbo, Jianping Zhou, Xiaohu Du, and Shouyi Li. "Study on dam risk classification in China." Water Supply 15, no. 3 (2014): 483–89. http://dx.doi.org/10.2166/ws.2014.133.

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With the increasing number of dams and the age of older dams, the issues of dam safety are becoming more prominent. The potential dam safety problem is not only a security issue but also a an issue of risk for areas downstream of dams. Therefore, risk management is the core of dam safety administration. Dam risk classification is an important part of risk management that should consider the probability of dam failure and the risk of loss (potential damage). This paper summarizes research on dam risk classification and finds that ‘three degrees’ and ‘four degrees’ of dam risk classification are

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6

Liu, Hai Ming, and Jing Cao. "Study on Automatic Safety Monitoring and Management System of Tailings Reservoir." Advanced Materials Research 663 (February 2013): 1043–48. http://dx.doi.org/10.4028/www.scientific.net/amr.663.1043.

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The tailings dam is a very important component part in mine production facilities. Meanwhile, it is a potential major risk source with high potential energy. Through collecting many accidents of the tailings dam, it is showed that accident type of the tailings dam mainly is dam-break, damage of drainage system, leakage of tailings, etc. On the basis of this analysis, the main causes of dam-break are slope instability, breaking construction rule, unusual rainfall, etc. The automatic safety monitoring and management system of the tailings reservoir (ASMMS) is a powerful measure for mine safety p

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7

Lave, Lester B., and Tunde Balvanyos. "Risk Analysis and Management of Dam Safety." Risk Analysis 18, no. 4 (1998): 455–62. http://dx.doi.org/10.1111/j.1539-6924.1998.tb00360.x.

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8

You, Luo, Chen Li, Xu Min, and Tong Xiaolei. "Review of Dam-break Research of Earth-rock Dam Combining with Dam Safety Management." Procedia Engineering 28 (2012): 382–88. http://dx.doi.org/10.1016/j.proeng.2012.01.737.

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9

Mohd Sidek, Lariyah, Hidayah Basri, Sivadass Thiruchelvam, Sabri Muda Rahsidi, Abdul Razad Azwin Zailti, and Ali Zuraidah. "Implementation of Dam Safety Management Program in Malaysia: From Theory to Practice." Applied Mechanics and Materials 567 (June 2014): 583–88. http://dx.doi.org/10.4028/www.scientific.net/amm.567.583.

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Dam plays vital roles to mankind since the beginning of civilization. It serves the purpose for water supply, irrigation, hydropower and flood control. Despite the benefits of dam served over a decade, dams also poses high risk especially to the people downstream, as it may fail due to several failure modes, such as flood loading, earthquake and piping failure. History proved that dam failure has caused catastrophic impact to the people and environment. The dam owner is responsible to ensure that their dam is safe to the public and environment. In Malaysia, the key utility company, Tenaga Nasi

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10

Sun, Rui Rui, Xiao Ling Wang, Xue Fei Ao, and Wei Ping Guo. "Study on Estimating Failure Probability of Earth-Rock Dams." Advanced Materials Research 594-597 (November 2012): 1957–60. http://dx.doi.org/10.4028/www.scientific.net/amr.594-597.1957.

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Dam safety based on risk analysis methodologies demands risk quantification of the earth-rock dam project, and estimation on the failure probability of earth-rock dams is a major concern in the dam safety management. Due to numerous uncertainties, structures of the reservoir are involved leading to risks that may finally cause dam failure. The risk identification was firstly investigated according to the actual project. Subsequently, method of expertise was presented to estimate odds of the presence of each link in dam failure modes quantitatively. The reservoir composed of several dams in Sou

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11

Ju, Hai Yan, Gui Qing Gao, Qiu Xiang Li, and Jian Hua Li. "Analysis of Safety and Risk Factors about the Tailings Dam in the Mental Mines." Advanced Materials Research 594-597 (November 2012): 299–302. http://dx.doi.org/10.4028/www.scientific.net/amr.594-597.299.

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Tailings dam is a potential risk source in the metal mines, once the tailings dam break, it will not only lead to tremendous loss in people’s lives and property, but also result in serious environmental pollution. Basing on the accidents of tailings dam failure at home, the dam failure causes are analyzed, some technology and management suggestions about decreasing dam-break accident are put forward, which provide reference for safety management to tailings dam.

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12

Fadli, Arbal, Ignatius Sriyana, and Sri Sangkawati. "Kembangan Dam Safety Risk Index Sragen Regency." International Journal of Science and Society 5, no. 5 (2023): 473–87. http://dx.doi.org/10.54783/ijsoc.v5i5.905.

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In dam management, in addition to the safety factors of the structure and condition of the dam and the emergency action plan that needs to be prepared, other elements that need to be considered are the operation, maintenance, monitoring and observation activities of the dam. In extreme circumstances, mistakes in dam operations can be fatal. The dam can fail and cause a massive flood that can damage facilities and infrastructure, and even loss of life downstream of the dam. Risk assessment is a way to identify risks that may occur under various conditions, so that the necessary follow-up can be

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13

Puthucherril, Tony George. "Developments in legislating dam safety in India: a tale of ifs and buts?" Asia Pacific Journal of Environmental Law 25, no. 2 (2023): 149–78. http://dx.doi.org/10.4337/apjel.2022.02.02.

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Given the many dams worldwide, safety is critical as a dam failure can negatively impact human health, property and the environment. India has a substantial stock of dams, ranking third after the US and China. However, about 80 percent of its large dams are over 25 years old, and nearly 227 dams are over 100 years. These ‘geriatric’ dams continue to function but raise serious safety concerns, with a classic example being the 127-year-old Mullaperiyar Dam. Although India’s track record of dam safety is more or less satisfactory, there has been poor maintenance and several failures. Even though

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14

Ding, Shao-Lin, Jia-Jun Pan, Yanli Wang, Han Xu, Dian-Qing Li, and Xin Liu. "Developing a digital twin for dam safety management." Computers and Geotechnics 180 (April 2025): 107120. https://doi.org/10.1016/j.compgeo.2025.107120.

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15

Zhang, Shichen, Wenang Hou, Jiangshan Yin, and Zifeng Lin. "A Review of Research and Practice on the Theory and Technology of Reservoir Dam Risk Assessment." Sustainability 14, no. 22 (2022): 14984. http://dx.doi.org/10.3390/su142214984.

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A current trend is to implement dam risk management. Dam risk analysis is the premise of dam risk management. Methods such as PRA, FMEA/FMECA, FTA, ETA, and group dam risk analysis have been proposed in studies at home and abroad. In practice, it is found that dam breaks or accidents occur even though the dam risk calculated by the existing methods meets the acceptable risk standard, and that many occurred accidents are at variance with dam risk analysis. This indicates that the existing methods have systematic defects, and the dam risk calculated based on such methods is only a part of the ac

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16

Aulia, Dinal, Lusi Marifah, Ikbal Yurrazak, and Humiras Hardi Purba. "Safety Risk Management in Dam Construction Projects: Literature Review." Journal of Industrial and Engineering System 2, no. 1 (2021): 63–74. http://dx.doi.org/10.31599/jies.v2i1.636.

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Safety risk assessment in dams is a traditional and modern approach to the engineering process of dams on safety systems so as to produce a design history that has a good overall record and integrity. With this approach for both old and new dams, this safety risk assessment aims to determine whether the risk the hazard can be tolerated or not, if it cannot be tolerated then there must be a solution for action to reduce the risk of danger so that the safety of the dam can be obtained. The existing risk assessment can be used as the basis for the construction of the dam to its maintenance, in th

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17

Fluixá-Sanmartín, Javier, Adrián Morales-Torres, Ignacio Escuder-Bueno, and Javier Paredes-Arquiola. "Quantification of climate change impact on dam failure risk under hydrological scenarios: a case study from a Spanish dam." Natural Hazards and Earth System Sciences 19, no. 10 (2019): 2117–39. http://dx.doi.org/10.5194/nhess-19-2117-2019.

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Abstract. Dam safety is increasingly subjected to the influence of climate change. Its impacts must be assessed through the integration of the various effects acting on each aspect, considering their interdependencies, rather than just a simple accumulation of separate impacts. This serves as a dam safety management supporting tool to assess the vulnerability of the dam to climate change and to define adaptation strategies under an evolutive dam failure risk management framework. This article presents a comprehensive quantitative assessment of the impacts of climate change on the safety of a S

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18

Wei, Hai, Hua Shu Yang, Liang Wu, and Yue Gui. "Dam Safety Reliability Analysis Based on Artificial Neural Network." Advanced Materials Research 255-260 (May 2011): 3620–25. http://dx.doi.org/10.4028/www.scientific.net/amr.255-260.3620.

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There are many factors, such as climate, flood, material, geology, structure, management, to influence dam safety. So dam safety evaluation, involving many fields, is very complicated, and very difficult to establish mathematic model for assessment. Artificial Neural Network (ANN) has many obvious advantages to deal with these problems influenced by multi-factor, consequently is widely used in engineering fields. This paper considered water level, temperature, main factors influencing dam deformation, as random variables, employed ANN and statistical model to establish performance function of

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19

Sahakyan, Kristine, and Arestak Sarukhanyan. "Visual inspection results and evaluation of Akhtala tailing safety based on tailing management facility safety methodology." Bulletin of the Tomsk Polytechnic University Geo Assets Engineering 335, no. 2 (2024): 60–68. http://dx.doi.org/10.18799/24131830/2024/2/4034.

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Relevance. Mining sector is one of the leading branches of the industry in Armenia. Therefore, effective government regulation of the sector based on a sound legal basis is a necessity. Accidents at tailing management facilities are posing a high risk to people and environment especially in their near vicinity and often have a transboundary impact. The tailing management facility safety methodology elaborated under the auspices of the German Environmental Agency is an efficient tool for quick assessment of the technical condition of the tailing management facilities. Aim. To present the result

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20

Badr, Ahmed, Zoe Li, and Wael El-Dakhakhni. "Dam System and Reservoir Operational Safety: A Meta-Research." Water 15, no. 19 (2023): 3427. http://dx.doi.org/10.3390/w15193427.

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Dams are critical infrastructure necessary for water security, agriculture, flood risk management, river navigation, and clean energy generation. However, these multiple, and often conflicting, objectives introduce complexity in managing dam operations. In addition, dam infrastructure has been evolving as complex systems-of-systems with multiple interacting components and subsystems, all susceptible to a wide range of uncertainties. Such complexities and uncertainties have triggered extensive research initiatives focused on dam systems and reservoir operational safety. Focusing on the latter,

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21

Yu, Hong Tao. "Dynamic Analysis of Dam-Break Loss Based on Unascertainty Theory." Applied Mechanics and Materials 325-326 (June 2013): 1310–13. http://dx.doi.org/10.4028/www.scientific.net/amm.325-326.1310.

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As the Water-retaining Structure of reservoir, Earth-Rock Dam was widely used because of a wide accommodation, local material and rapid construction speed .There are 86 thousand dams having been built in our country, 90% of which are earth-rockfill dams. However, the aging and disease of earth-rockfill dams are becoming more and more serious. As time goes by, its security problem gets more and more attention. The risk management of dam is a kind of new concept of safety management which is brought in from abroad. One of the most prominent characteristics is that it is conscious both of its own

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22

Fluixá-Sanmartín, Javier, Luis Altarejos-García, Adrián Morales-Torres, and Ignacio Escuder-Bueno. "Review article: Climate change impacts on dam safety." Natural Hazards and Earth System Sciences 18, no. 9 (2018): 2471–88. http://dx.doi.org/10.5194/nhess-18-2471-2018.

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Abstract. Dams as well as protective dikes and levees are critical infrastructures whose associated risk must be properly managed in a continuous and updated process. Usually, dam safety management has been carried out assuming stationary climatic and non-climatic conditions. However, the projected alterations due to climate change are likely to affect different factors driving dam risk. Although some reference institutions develop guidance for including climate change in their decision support strategies, related information is still vast and scattered and its application to specific analyses

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23

Jin, Qiu, Huiwen Wang, and Hairui He. "A regression Model‐based Method for Analyzing Monitoring Data." ce/papers 8, no. 2 (2025): 835–40. https://doi.org/10.1002/cepa.3172.

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AbstractDam safety monitoring is the foundation of dam safety management and an important part of the modern reservoir operation and management matrix. This paper puts forward the engineering application analysis method of monitoring data. By using the statistical model, the regression results of the existing monitoring data are analyzed. The prediction equation of dam displacement is established, and the method is practically applied in a reservoir. The conclusion is that the dam is overall stable, the deformation meets the requirements, and the method meets the requirements for monitoring, c

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24

Li, Hanman, Ziyang Li, Fuheng Ma, and Chengdong Liu. "Similarity analysis of dam behavior characterized by multi-monitoring points based on Cloud model." International Journal of Distributed Sensor Networks 16, no. 5 (2020): 155014772092022. http://dx.doi.org/10.1177/1550147720920226.

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The availability of massive amount of dam safety monitoring data can make it difficult to analyze and characterize dam behavior. This article describes the use of the Cloud model to transform quantitative monitoring data into qualitative information. Each monitoring point returning dam safety data is regarded as a cloud drop, and parameters such as the expectation, entropy, and hyper-entropy of the monitoring data are obtained through a backward cloud generator to represent the operational state of the dam. The monitoring points are then treated as vectors, and the cloud similarity is calculat

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25

Jung, Myung Chae, Jeong Wook Kim, In-ho Hwang, et al. "Proper Monitoring Methods for Safety Management of Tailings Dam." Journal of the Korean Society of Mineral and Energy Resources Engineers 55, no. 6 (2018): 576–87. http://dx.doi.org/10.32390/ksmer.2018.55.6.576.

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26

Pisaniello, John D., Roger L. Burritt, and Joanne Tingey-Holyoak. "Dam safety management for sustainable farming businesses and catchments." Agricultural Water Management 98, no. 4 (2011): 507–16. http://dx.doi.org/10.1016/j.agwat.2010.10.001.

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27

Yang, Xin, Yan Xiang, Yakun Wang, and Guangze Shen. "A Dam Safety State Prediction and Analysis Method Based on EMD-SSA-LSTM." Water 16, no. 3 (2024): 395. http://dx.doi.org/10.3390/w16030395.

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The safety monitoring information of the dam is an indicator reflecting the operational status of the dam. It is a crucial source for analyzing and assessing the safety state of reservoir dams, possessing strong real-time capabilities to detect anomalies in the dam at the earliest possible time. When using neural networks for predicting and warning dam safety monitoring data, there are issues such as redundant model parameters, difficulty in tuning, and long computation times. This study addresses real-time dam safety warning issues by first employing the Empirical Mode Decomposition (EMD) met

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28

Khaidir, Trifad Mochammad, Sri Sangkawati, and Sriyana Sriyana. "Risk Assessment Of Gonggang Dam In Magetan District, East Java Province." Eduvest - Journal of Universal Studies 4, no. 11 (2024): 10026–41. http://dx.doi.org/10.59188/eduvest.v4i11.44757.

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This study aims to assess the safety risk of the Gonggang Dam located in Magetan Regency, East Java, using traditional methods and the event tree method (Event Tree Analysis). The risk assessment is conducted by identifying potential hazards and failure modes, estimating the probability of failure, and evaluating the level of risk based on the analysis results. The results of the analysis show that the event tree method provides acceptable risk results, while the traditional method shows unacceptable risks. The priority of risk management at Gonggang Dam is focused on monitoring the dam body a

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29

Vanijjirattikhan, Rangsarit, Chinoros Thongthamchart, Patsorn Rakcheep, Unpong Supakchukul, and Jittiwut Suwatthikul. "Reservoir Flood Routing Simulation for Dam Safety Management in Thailand." Journal of Disaster Research 16, no. 4 (2021): 596–606. http://dx.doi.org/10.20965/jdr.2021.p0596.

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A reservoir flood routing simulation software with spillway operation rules that are readable and configurable by the spillway operator is developed in this study. The software is part of the Dam Safety Remote Monitoring System used by the Electricity Generating Authority of Thailand. The flood routing simulation is implemented using a storage-indication routing method, which is a hydrologic method. The spillway operation rules are exhibited in a tree-based structure, in which the spillway gate opening is derived from the current reservoir water level (RWL), spillway gate opening, and flood si

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30

V, Niyinyitoreye, F. R. Silungwe, and N. I. Kihupi. "Evaluation the Physical Status of the Dam and Its Environments for Compliance with Dam Safety Guidelines." International Journal of Environment and Climate Change 15, no. 4 (2025): 24–39. https://doi.org/10.9734/ijecc/2025/v15i44791.

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While structural evaluations of medium-to-large government-managed dams are common, small public-owned dams like Mindu remain critically understudied despite their vulnerability to failures. This study evaluates the adequacy of existing risk management programs for aging dams in developing countries, with a focus on the Mindu Dam in Morogoro Municipality, Tanzania. Specifically, the study aims (1) to establish a global dam safety policy benchmark, (2) assess the rules and policies in place that govern dam safety, and (3) examine the compliance with and variation from dam safety guidelines. A p

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31

Marche, Claude, and Benoît Robert. "Dam Failure Risk: Its Definition and Impact on Safety Assessment of Dam Structures." Journal of Decision Systems 11, no. 3-4 (2002): 513–34. http://dx.doi.org/10.3166/jds.11.513-534.

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32

Martać, Rastko, Nikola Milivojević, Marijana Despotović-Zrakić, Zorica Bogdanović, and Dusan Barać. "Enhancing Large Dam Safety Using IoT Technologies: A Case of a Smart Dam." JUCS - Journal of Universal Computer Science 26, no. (5) (2020): 583–603. https://doi.org/10.3897/jucs.2020.031.

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This paper investigates how to transform a manual monitoring system into a smart environment using IoT technologies. Large dams are of huge importance as water reservoirs and potential energy sources primarily because of their use for electric energy generation. Monitoring and predicting dams' behavior are quite challenging. Due to a variety of limitations, environmental obstacles and dam system complexity, the application of RFID, Bluetooth, and IoT technologies has proven to be an adequate, affordable and reliable dam safety solution. This paper introduces a comprehensive model of dam safety

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33

Wang, Huiwen, Dandan Li, Taozhen Sheng, Jinbao Sheng, Peiran Jing, and Dawei Zhang. "A Modeling of Human Reliability Analysis on Dam Failure Caused by Extreme Weather." Applied Sciences 13, no. 23 (2023): 12968. http://dx.doi.org/10.3390/app132312968.

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Human factors are introduced into the dam risk analysis method to improve the existing dam risk management theory. This study constructs the path of human factor failure in dam collapse, explores the failure pattern of each node, and obtains the performance shaping factors (PSFs) therein. The resulting model was combined with a Bayesian network, and sensitivity analysis was performed using entropy reduction. The study obtained a human factor failure pathway consisting of four components: monitoring and awareness, state diagnosis, plan formulation and operation execution. Additionally, a PSFs s

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34

Luo, Ying Xiang. "Study of Fiber Bragg Grating Sensor in Dam Safety Monitoring." Applied Mechanics and Materials 312 (February 2013): 736–40. http://dx.doi.org/10.4028/www.scientific.net/amm.312.736.

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As Optical fiber communication technology is developing towards high-speed and high-capacity, continual evolution to the all-optical network. In the lead of the mushroom development of Optical communication, Fiber Bragg Grating (FBG) is become one of the most mushroom optical passive components. This article will discuss about application of Fiber Bragg grating (FBG) sensor in dam safety monitoring, to improve the management and maintenance of dam.

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35

Mahdi, Ali, and Sedki Rezouki. "Developing a Management System for assessing Dam Safety in Iraq." Journal of Garmian University 4, no. 4 (2017): 409–27. http://dx.doi.org/10.24271/garmian.221.

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36

Sander-Kessels, Benedikt, and Karl-Heinz Straßer. "Implementierung eines Dam-Safety-Management-Systems — Erfahrungen bei der Umsetzung." WASSERWIRTSCHAFT 106, no. 6 (2016): 116–19. http://dx.doi.org/10.1007/s35147-016-0073-1.

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37

Zhou, Yuhang, Tengfei Bao, Xiaosong Shu, Yueyang Li, and Yangtao Li. "BIM and ontology-based knowledge management for dam safety monitoring." Automation in Construction 145 (January 2023): 104649. http://dx.doi.org/10.1016/j.autcon.2022.104649.

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38

Wang, Pingyi, Lu Hua, Di Song, Meili Wang, and Ye Tian. "Experimental Study on Pressure Characteristics of Gravity Dam Surface under Impact of Landslide-Generated Impulse Waves." Sustainability 15, no. 2 (2023): 1257. http://dx.doi.org/10.3390/su15021257.

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Landslide-generated impulse waves of a mountain-river reservoir will endanger the dam body’s stability and the dam structure’s safety and even pose a significant threat to the property safety of downstream residents. Timely prediction of dam surface pressure is essential for dam safety assessment. The pressure distribution characteristics and variation law of the gravity dam surface under the impact of landslide-generated impulse waves are studied through a three-dimensional physical model test. The results show that the landslide volume and angle are the key control factors of the first wave

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39

Martać, Rastko, Nikola Milivojević, Marijana Despotović-Zrakić, Zorica Bogdanović, and Dusan Barać. "Enhancing Large Dam Safety Using IoT Technologies: A Case of a Smart Dam." JUCS - Journal of Universal Computer Science 26, no. 5 (2020): 583–603. http://dx.doi.org/10.3897/jucs.2020.031.

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This paper investigates how to transform a manual monitoring system into a smart environment using IoT technologies. Large dams are of huge importance as water reservoirs and potential energy sources primarily because of their use for electric energy generation. Monitoring and predicting dams' behavior are quite challenging. Due to a variety of limitations, environmental obstacles and dam system complexity, the application of RFID, Bluetooth, and IoT technologies has proven to be an adequate, affordable and reliable dam safety solution. This paper introduces a comprehensive model of dam safety

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40

Braga, Michelle Cristina dos Reis, and Alberto de Freitas Castro Fonseca. "Reactive improvement of environmental policies: lessons from the Mariana and Brumadinho disasters." Sustainability in Debate 12, no. 3 (2022): 182–213. http://dx.doi.org/10.18472/sustdeb.v12n1.2021.39412.

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The State is not always able to proactively improve environmental policies. Eventually, policy improvements are a result of disasters that expose pre-existing problems. This situation is reflected in the state of Minas Gerais (Brazil), where, after the failures of the Fundão and B1 tailings dam, in Mariana and Brumadinho, several problems in dam safety and emergency policies were exposed. This study had a twofold objective: 1) to identify the mechanisms used by the government of Minas Gerais to improve environmental policies, and 2) to understand how the Mariana and Brumadinho’s disasters affe

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41

Park, DongSoon, and Hojun You. "A Digital Twin Dam and Watershed Management Platform." Water 15, no. 11 (2023): 2106. http://dx.doi.org/10.3390/w15112106.

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This paper presents an innovative digital twin dam and watershed management platform, K-Twin SJ, that utilizes real-time data and simulation models to support decision-making for flood response and water resource management. The platform includes a GIS-based geospatial digital twin of the entire Sumjin dam and river water system in Korea, with high-precision geospatial topography and facility information for dams and rivers (watershed area 4913 km2, river length 173 km, and 91 water infrastructures). The platform synchronizes real-time data such as rainfall, dam and river water levels, flow ra

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42

Ahire, Punam. "Smart Dam Monitoring System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 02 (2025): 1–9. https://doi.org/10.55041/ijsrem41290.

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This paper presents an IoT-based dam monitoring and automation system designed to improve the efficiency, safety, and reliability of dam operations. The system employs an ultrasonic sensor to continuously measure the water level and a NodeMCU microcontroller to process the data. This information is transmitted in real-time to the Blynk app, which provides a user-friendly interface for monitoring and control. The system also includes a servo motor for automatic and manual gate control, enabling the prevention of dam overflows or maintaining adequate water storage levels. With features like auto

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Pei, Liang, Jiankang Chen, Jingren Zhou, et al. "A Fractal Prediction Method for Safety Monitoring Deformation of Core Rockfill Dams." Mathematical Problems in Engineering 2021 (January 21, 2021): 1–11. http://dx.doi.org/10.1155/2021/6655657.

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Deformation mechanism in the core rockfill dams with heavy load and high-stress level is difficult to predict and control, which is one of the key problems to be solved in the dam operation safety management and control. Aiming at the large error problems obtained by the parameter-based functional models (regression model, grey theory model, etc.) in the deformation prediction of the core rockfill dams, a fractal prediction method and its technical process by combining the variable dimension fractal dimension and the "metabolism" of prediction data are proposed through analyzing the fractal ad

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Matsushima, Katsumi, Makoto Hyodo, Noriyuki Shibata, and Yoshihiro Shimizu. "Effectiveness of Flexible Dam Operation and Sediment Replenishment at Managawa Dam, Japan." Journal of Disaster Research 13, no. 4 (2018): 691–701. http://dx.doi.org/10.20965/jdr.2018.p0691.

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A field demonstration project on flexible dam operation at the Managawa dam in the Kuzuryu River Basin has been implemented since 2000. The goal is to restore flow and sediment regimes in the Managawa River, which flows along the Ono-city and is located below the dam. Flexible dam operation stores inflow discharge into a reservoir, which generally uses part of the flood control capacity and appropriately discharges the stored water to the river, also known as the “flood pulse,” for restoring dynamic fluvial systems and the resulting ecological processes. In addition, other options have been ca

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Li, Su Min, Li Wei Yuan, Xiang Xin Li, Zi Fen He, and Jian Bo Xia. "Mud-Sand Flow Hazard Spatial Simulation and Analysis of Tailing Dam-Break under Different Preventive Measures." Materials Science Forum 980 (March 2020): 469–82. http://dx.doi.org/10.4028/www.scientific.net/msf.980.469.

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It is an important precondition and basis for the design of tailings reservoir and its safety facilities by reasonably judging and estimating the mud-sand flow hazard due to dam-break. In this paper, the mud-sand flow hazard scope, extent and spatial state after dam-broken of heightened Mawuqing tailing dam were simulated and analyzed through a flood and debris flow numerical simulation approach, and the hazard risk grade of different spatial locations of downstream Xiaoqingkou(XQK) village was obtained from the simulation. Then the spatial simulation of sand flow hazard under different preven

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Hui, Shiqiang (Rob), Lawrence Charlebois, and Colin Sun. "Real-time monitoring for structural health, public safety, and risk management of mine tailings dams." Canadian Journal of Earth Sciences 55, no. 3 (2018): 221–29. http://dx.doi.org/10.1139/cjes-2017-0186.

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Public awareness of tailings dam failures is increasing in the wake of incidents in Canada and abroad. The present work establishes the current state of practice in mine tailings dam monitoring and provides a summary of the current technical and operational gaps identified through industry and stakeholder engagement. These gaps may be addressed with currently available technologies supplied by commercial instrumentation manufacturers; however, the assumed costs and lack of regulatory demand may serve as barriers to adoption. An integrated approach and diverse suite of technologies is needed to

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Gabriel-Martin, Ivan, Alvaro Sordo-Ward, Luis Garrote, and Isabel Granados. "Stochastic Assessment of the Influence of Reservoir Operation in Hydrological Dam Safety through Risk Indexes." Proceedings 7, no. 1 (2018): 12. http://dx.doi.org/10.3390/ecws-3-05811.

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Hydrological dam safety assessment methods traditionally assume that the reservoir is full while it receives the design flood. In practice, reservoir management strategy determines the probability distribution of reservoir levels at the beginning of flood episodes. In this study, we present a method to economically assess the influence of reservoir management strategy on hydrological dam safety and downstream flood risk. The method was applied to a gated spillway dam located in the Tagus River basin. A set of 100,000 inflow hydrographs was generated through a Monte Carlo procedure, reproducing

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Tannant, Dwayne D. "Changes to dam safety management in British Columbia triggered by failure of a small earth dam." Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 9, no. 3 (2015): 148–57. http://dx.doi.org/10.1080/17499518.2015.1055278.

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Nelson, Alexander, Brad Arcement, Brad Burrows, and Andrew Hill. "QUANTIFYING RISKS FOR COASTAL LEVEE DESIGNS ALONG THE U.S. GULF COAST." Coastal Engineering Proceedings, no. 37 (September 1, 2023): 10. http://dx.doi.org/10.9753/icce.v37.management.10.

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For all U.S. Army Corps of Engineers (USACE) dam and levee designs for new projects, modifications, improvements, rehabilitation, or repairs, a risk-informed design approach is taken (ECB 2019-15). Risk-informed design ensures that risks and uncertainties are evaluated and estimated to be tolerable. This approach occurs in parallel to the typical design approach, which primarily focuses on ensuring the project is commensurate with available policies, guidance, and criteria as specified in USACE publications (regulations, manuals, etc.) as well as project-specific criteria. These criteria resul

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Dubler, James R., and Neil S. Grigg. "Dam Safety Policy for Spillway Design Floods." Journal of Professional Issues in Engineering Education and Practice 122, no. 4 (1996): 163–69. http://dx.doi.org/10.1061/(asce)1052-3928(1996)122:4(163).

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