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Journal articles on the topic 'Monitoring of dams'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 February 2022

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1

Bali, Haluk, and Salih Alcay. "The Methods Used in Monitoring of Large Dams in Turkey." Academic Perspective Procedia 3, no. 1 (2020): 236–45. http://dx.doi.org/10.33793/acperpro.03.01.51.

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Turkey is a very rich country in terms of water resources. However, in order to use these resources efficiently, water must be stored safely. In this context, the best form of storage is the construction of dams. In our country, large dams, which are among the world&apos;s important dams, are being built. Although there are many advantages of large dams, the loss of life and property will be so great in case of a possible deformation or destruction. The fact that dams are under the influence of various forces, as well as being located in the earthquake zone of our country, necessitates con

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2

Dunnicliff, J. "Geotechnical monitoring systems for embankment dams." International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts 27, no. 2 (1990): A93. http://dx.doi.org/10.1016/0148-9062(90)95096-j.

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3

Eisma, Jessica A., and Venkatesh M. Merwade. "Investigating the environmental response to water harvesting structures: a field study in Tanzania." Hydrology and Earth System Sciences 24, no. 4 (2020): 1891–906. http://dx.doi.org/10.5194/hess-24-1891-2020.

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Abstract. Sand dams, a popular water harvesting structure employed by rural communities, capture and store water for use during the dry season in arid and semi-arid regions. Most sand dam research has been performed on the “ideal” sand dam, despite approximately 50 % of sand dams not functioning as intended. This research involves a 1-year long, in-depth field study of three sand dams in Tanzania, one of which is essentially non-functioning. The study investigated a sand dam's impact on macroinvertebrate habitat, vegetation, and streambank erosion and explored a sand dam's water loss mechanism

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4

Suwatthikul, Jittiwut, Rangsarit Vanijjirattikhan, Unpong Supakchukul, et al. "Development of Dam Safety Remote Monitoring and Evaluation System." Journal of Disaster Research 16, no. 4 (2021): 607–17. http://dx.doi.org/10.20965/jdr.2021.p0607.

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More than 4,000 dams are constructed in Thailand for several purposes, including water supply, flood control, irrigation, and hydropower generation. Among these dams, 14 large dams are operated by the Electricity Generating Authority of Thailand (EGAT). As a dam operator, EGAT is committed to ensuring dam safety by regularly conducting dam inspections and maintenance. This paper presents the development and practical applications of the Dam Safety Remote Monitoring System (DS-RMS). The objective of DS-RMS is to enhance the EGAT’s implementation of its dam safety program in terms of dam monitor

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Monteiro, Gilberto Silva, Jorge Pacheco Neves, and Jorge Pereira Gomes. "Seismic Monitoring System of Baixo Sabor and Feiticeiro Dams." Civil Engineering Journal 6, no. 11 (2020): 2072–85. http://dx.doi.org/10.28991/cej-2020-03091603.

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In the last decade Portugal made a significant set of investments in new hydroelectric projects. According the Portuguese Dam Safety Regulation and Supporting Technical Documents, and the seismic risk for the regions where the dams were built, several seismic monitoring systems were implemented. One of the most important projects was the Baixo Sabor hydroelectric scheme which includes two large dams, namely the Baixo Sabor and Feiticeiro dams. These dams are located at northeast of Portugal and are very close to a major geological fault that crosses the Portuguese territory. Considering the se

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6

Jiang, Zhenxiang, and Jinping He. "Detection Model for Seepage Behavior of Earth Dams Based on Data Mining." Mathematical Problems in Engineering 2018 (2018): 1–11. http://dx.doi.org/10.1155/2018/8191802.

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Seepage behavior detecting is an important tool for ensuring the safety of earth dams. However, traditional seepage behavior detection methods have used insufficient monitoring data and have mainly focused on single-point measures and local seepage behavior. The seepage behavior of dams is not quantitatively detected based on the monitoring data with multiple measuring points. Therefore, this study uses data mining techniques to analyze the monitoring data and overcome the above-mentioned shortcomings. The massive seepage monitoring data with multiple points are used as the research object. Th

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7

Fernández, Martina Inmaculada Álvarez, Celestino González Nicieza, Román Fernández Rodríguez, and Juan Ramón García Menéndez. "Earth Dam Monitoring in the Soil Take Care Project." Proceedings 2, no. 23 (2018): 1451. http://dx.doi.org/10.3390/proceedings2231451.

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The Cartagena-La Unión mountain range was the focus of an intense mining activity between early XIX and late XX centuries. Most of Spanish national production of lead and zinc was extracted from its mines. During the ore concentration process, contaminated wastes containing heavy metal minerals, cyanides and sulfates were produced and deposited in earth dams. The Spanish National Institute of Geology and Mining had catalogued 75 earth dams in the councils of Cartagena and La Unión. These deposits pose a potential risk for the environment and nearby populations. Without suitable and precautiona

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8

Čejka, F., V. Beneš, F. Glac, and Z. Boukalová. "Monitoring of seepages in earthen dams and levees." International Journal of Environmental Impacts: Management, Mitigation and Recovery 1, no. 3 (2018): 267–78. http://dx.doi.org/10.2495/ei-v1-n3-267-278.

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9

Anita, Rajesh Singh, Sushabhan Choudhury, and Bhupendra Singh. "Wireless Disaster Monitoring and Management System for Dams." Procedia Computer Science 48 (2015): 381–86. http://dx.doi.org/10.1016/j.procs.2015.04.197.

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10

Rhim, Hong C. "Condition monitoring of deteriorating concrete dams using radar." Cement and Concrete Research 31, no. 3 (2001): 363–73. http://dx.doi.org/10.1016/s0008-8846(00)00496-8.

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11

Bao, TengFei, Dong Qin, XiWu Zhou, and GuiFen Wu. "Abnormality monitoring model of cracks in concrete dams." Science China Technological Sciences 54, no. 7 (2011): 1914–22. http://dx.doi.org/10.1007/s11431-011-4332-1.

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12

Bukenya, P., P. Moyo, H. Beushausen, and C. Oosthuizen. "Health monitoring of concrete dams: a literature review." Journal of Civil Structural Health Monitoring 4, no. 4 (2014): 235–44. http://dx.doi.org/10.1007/s13349-014-0079-2.

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13

Al Fatin, Hasan Jamil, and Murat G. Mustafin. "METHOD FOR DEFORMATION MONITORING OF WATER-BEARING DAMS." Vestnik SSUGT (Siberian State University of Geosystems and Technologies) 26, no. 1 (2021): 45–56. http://dx.doi.org/10.33764/2411-1759-2021-26-1-45-56.

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Monitoring of the condition of water-supporting hydraulic structures (dams) is carried out in ac-cordance with GOST R 22.1.11–2002, which determines the list of main load indicators including hy-drostatic pressure exerted on the dam. The article gives the list of the main indicators of the condition of water-supporting hydraulic structures and the development of hazardous processes in soil massifs, which provides for the assessment of vertical (precipitation) and horizontal movements of structures and their bases. Thus, monitoring is carried out in two areas of research: the first is geotechni

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14

Feng, Rui, Yun-Long He, and Xue-Xing Cao. "Different Deformation Patterns in High Core Wall Rockfill Dams: A Case Study of the Maoergai and Qiaoqi Dams." Advances in Civil Engineering 2019 (December 11, 2019): 1–17. http://dx.doi.org/10.1155/2019/7069375.

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The time-dependent behaviour of high rockfill dams is complex and not easy to accurately predict. Many discrepancies were revealed by the comparison of the observed deformation histories of different dams, and the deformation of some high rockfill dams did not correspond to the general deformation law. Field monitoring is therefore an effective method for understanding complex dam deformation behaviour. In this paper, actual measured deformation data resulting from continuous monitoring of the Maoergai and Qiaoqi dams are analysed. These two dams have similar heights, crest lengths, and alluvi

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15

Qiu, Jianchun, Dongjian Zheng, and Kai Zhu. "Seepage Monitoring Models Study of Earth-Rock Dams Influenced by Rainstorms." Mathematical Problems in Engineering 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/1656738.

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For earth-rock dams influenced by rainstorms, seepage status monitoring is very important and provides the basis for the safe and effective operation of earth-rock dams. The most influential factors concerning the seepage of earth-rock dams are the reservoir water level, precipitation, temperature, and timeliness, and the influence of the reservoir water level and precipitation on the seepage of an earth-rock dam exhibits hysteretic effects. The reservoir water level of an earth-rock dam abruptly increases and may exceed the historically highest water level, therein causing new deformations of

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16

Chen, Siyu, Chongshi Gu, Chaoning Lin, Erfeng Zhao, and Jintao Song. "Safety Monitoring Model of a Super-High Concrete Dam by Using RBF Neural Network Coupled with Kernel Principal Component Analysis." Mathematical Problems in Engineering 2018 (August 30, 2018): 1–13. http://dx.doi.org/10.1155/2018/1712653.

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Effective deformation monitoring is vital for the structural safety of super-high concrete dams. The radial displacement of the dam body is an important index of dam deformation, which is mainly influenced by reservoir water level, temperature effect, and time effect. In general, the safety monitoring models of dams are built on the basis of statistical models. The temperature effect of dam safety monitoring models is interpreted using approximate functions or the temperature values of a few points of measurement. However, this technique confers difficulty in representing the nonlinear feature

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17

Abdullah Al-hadhrami, Zeyana Mohammed, and Abdul Khalique Shaikh. "A System for Remote Monitoring and Controlling of Dams." International Journal of Programming Languages and Applications 7, no. 4 (2017): 1–18. http://dx.doi.org/10.5121/ijpla.2017.7401.

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18

Chouinard, Luc E., David W. Bennett, and Nadia Feknous. "Statistical Analysis of Monitoring Data for Concrete Arch Dams." Journal of Performance of Constructed Facilities 9, no. 4 (1995): 286–301. http://dx.doi.org/10.1061/(asce)0887-3828(1995)9:4(286).

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19

Aleksandrovskaya, �. K. "Monitoring high concrete dams during their construction and service." Hydrotechnical Construction 23, no. 12 (1989): 708–14. http://dx.doi.org/10.1007/bf01440338.

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20

Allil, Regina C. S. B., Lucas A. C. Lima, Alexandre S. Allil, and Marcelo M. Werneck. "FBG-Based Inclinometer for Landslide Monitoring in Tailings Dams." IEEE Sensors Journal 21, no. 15 (2021): 16670–80. http://dx.doi.org/10.1109/jsen.2021.3081025.

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21

Yang, Baoquan, Lin Zhang, Enlong Liu, Jianhua Dong, Honghu Zhu, and Yuan Chen. "Deformation Monitoring of Geomechanical Model Test and Its Application in Overall Stability Analysis of a High Arch Dam." Journal of Sensors 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/470905.

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Geomechanical model testing is an important method for studying the overall stability of high arch dams. The main task of a geomechanical model test is deformation monitoring. Currently, many types of deformation instruments are used for deformation monitoring of dam models, which provide valuable information on the deformation characteristics of the prototype dams. However, further investigation is required for assessing the overall stability of high arch dams through analyzing deformation monitoring data. First, a relationship for assessing the stability of dams is established based on the c

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22

Zumr, David, Václav David, Josef Krása, and Jiří Nedvěd. "Geophysical Evaluation of the Inner Structure of a Historical Earth-Filled Dam." Proceedings 2, no. 11 (2018): 664. http://dx.doi.org/10.3390/proceedings2110664.

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Small earth dams usually lack the detailed seepage monitoring system that would provide high resolution data on changes in seepage flow. Alternative solution is monitoring of the temperature and electrical resistivity in the body of the dams. Geophysical methods are useful techniques for a non-destructive exploration of the subsurface. We have utilized the combination of electrical resistivity tomography (ERT), ground penetrating radar (GPR) and multi-depth electromagnetical conductivity meter (CMD) techniques to observe the inner structure, especially internal failures, of the historical eart

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23

Sjödahl, Pontus, Torleif Dahlin, and Bing Zhou. "2.5D resistivity modeling of embankment dams to assess influence from geometry and material properties." GEOPHYSICS 71, no. 3 (2006): G107—G114. http://dx.doi.org/10.1190/1.2198217.

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Repeated resistivity measurement is a potentially powerful method for monitoring development of internal erosion and anomalous seepage in earth embankment dams. This study is part of a project to improve current longterm monitoring routines and data interpretation and increasing the understanding when interpreting existing data. This is accomplished by modeling various occurrences typical of embankment structures using properties from two rockfill embankment dams with central till cores in the north of Sweden. The study evaluates the influence from 3D effects created by specific dam geometry a

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24

Jeuland, Marc. "The economics of dams." Oxford Review of Economic Policy 36, no. 1 (2020): 45–68. http://dx.doi.org/10.1093/oxrep/grz028.

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Abstract Dams provide a host of benefits to societies, helping to balance variability in water availability with demand for multiple uses, allowing power generation, providing and enhancing recreation opportunities, and offering protection against damaging floods. Yet dams are often controversial due to their high investment requirements, unequal distributional effects, and concerns over the irreparable harm they may cause to free-flowing rivers and ecosystems. This paper considers the economic case for such projects, organized around a review of what we know about their value and impacts. Tho

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25

Wang, Shaowei, Chongshi Gu, and Tengfei Bao. "Safety Monitoring Index of High Concrete Gravity Dam Based on Failure Mechanism of Instability." Mathematical Problems in Engineering 2013 (2013): 1–14. http://dx.doi.org/10.1155/2013/732325.

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Traditional methods of establishing dam safety monitoring index are mostly based on the observation data. According to the performance of dam-foundation system under the experienced loads, alarm values and extreme values are predicted for monitoring quantities. As for some dams, the potential most unfavorable loads may not yet have appeared, and dam bearing capacity may also decrease over time. Therefore, monitoring index determined by these methods can not reflect whether the dam will break or not. Based on the finite element method, to study the progressive instability failures of high concr

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26

Gu, Chongshi, Dong Qin, Zhanchao Li, and Xueqin Zheng. "Study on Semi-Parametric Statistical Model of Safety Monitoring of Cracks in Concrete Dams." Mathematical Problems in Engineering 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/874629.

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Cracks are one of the hidden dangers in concrete dams. The study on safety monitoring models of concrete dam cracks has always been difficult. Using the parametric statistical model of safety monitoring of cracks in concrete dams, with the help of the semi-parametric statistical theory, and considering the abnormal behaviors of these cracks, the semi-parametric statistical model of safety monitoring of concrete dam cracks is established to overcome the limitation of the parametric model in expressing the objective model. Previous projects show that the semi-parametric statistical model has a s

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27

Marsella, Maria, and Marco Scaioni. "Sensors for Deformation Monitoring of Large Civil Infrastructures." Sensors 18, no. 11 (2018): 3941. http://dx.doi.org/10.3390/s18113941.

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In the maintenance of large infrastructures such as dams, bridges, railways, underground structures (tunnels, mines) and others, monitoring of deformations plays a key role in maintaining the safety serviceability conditions and for mitigating any consequences due to ageing factors and possible structural failures. [...]

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28

Cho, In‐Ky, Ik‐Soo Ha, Ki‐Seog Kim, Hee‐Yoon Ahn, Seunghee Lee, and Hye‐Jin Kang. "3D effects on 2D resistivity monitoring in earth‐fill dams." Near Surface Geophysics 12, no. 1 (2013): 73–81. http://dx.doi.org/10.3997/1873-0604.2013065.

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29

Hu, Jiang, and Fuheng Ma. "Zoned safety monitoring model for uplift pressures of concrete dams." Transactions of the Institute of Measurement and Control 41, no. 14 (2019): 3952–69. http://dx.doi.org/10.1177/0142331219842281.

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Uplift pressure beneath concrete dams is related to several intrinsic factors such as geological structure, qualities of grouting and drainage engineering, and so forth. Thus, the fluctuation law and the amplitude of the uplift pressure vary along the dam axis. Based on observation data, the data mining method can be used to divide the piezometers beneath concrete dams into several zones, with similar fluctuation laws in measurement, to better identify the spatial distribution mechanism of the foundation uplift pressure. Then, zoned regression models can be established to mine the essential ca

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30

Jingnan, Liu. "Progress in deformation monitoring for dams, bridges and power lines." Annals of GIS 16, no. 2 (2010): 81–90. http://dx.doi.org/10.1080/19475683.2010.492129.

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31

Oh, Sam-Ju, Ki-Joon Kim, Jea-Yong Song, and Uikyu Choi. "Study of Monitoring Methods for Maintenance Management of Tailings Dams." Journal of Engineering Geology 26, no. 4 (2016): 473–84. http://dx.doi.org/10.9720/kseg.2016.4.473.

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32

Gökalp, E., and L. Taşçı. "Deformation Monitoring by GPS at Embankment Dams and Deformation Analysis." Survey Review 41, no. 311 (2009): 86–102. http://dx.doi.org/10.1179/003962608x390021.

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33

Andersen, Glen R., Luc E. Chouinard, Charles Bouvier, and W. Edward Back. "Ranking Procedure on Maintenance Tasks for Monitoring of Embankment Dams." Journal of Geotechnical and Geoenvironmental Engineering 125, no. 4 (1999): 247–59. http://dx.doi.org/10.1061/(asce)1090-0241(1999)125:4(247).

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34

Durcheva, V. N., and S. M. Puchkova. "Selection of parameters monitoring the reliable operation of concrete dams." Hydrotechnical Construction 24, no. 9 (1990): 551–55. http://dx.doi.org/10.1007/bf01459214.

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35

Krasil'nikov, N. A. "Onsite measurements and monitoring of the stability of earth dams." Hydrotechnical Construction 22, no. 9 (1988): 520–23. http://dx.doi.org/10.1007/bf01427843.

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36

Ji, Shun Wen, Lei Jiang, and Qi Huan Shi. "Back Analysis on Deformation of Concrete Faced Rockfill Dam Based on Prototype Monitoring." Applied Mechanics and Materials 351-352 (August 2013): 1302–5. http://dx.doi.org/10.4028/www.scientific.net/amm.351-352.1302.

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Material properties, calculation models and parameters are the main factors affect the simulation results of concrete face rockfill dams. According to the Baixi project, a 3D numerical model was built including the concrete face, filled rock, rock foundation and peripheral joint. Then, based on the deformation monitoring data during the construction and water storage period, the Duncan E-B model parameters were back analyzed. Finally, the sedimentation of dams, stress and strain of concrete face was simulated, and the actual working performance of concrete face and filled rock was studied.

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Pacheco, Admilson Da Penha, Renato Filipe Faria Henriques, and Paulo Marcelo Vieira Ribeiro. "Technical and scientific aspects of dams in Brazil: a theoretical approach." Ambiente e Agua - An Interdisciplinary Journal of Applied Science 15, no. 5 (2020): 1. http://dx.doi.org/10.4136/ambi-agua.2552.

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The safety of a dam is the result of a series of factors, including structural, geotechnical, hydraulic, operational and environmental aspects. In Brazil, Law No. 12.334 of September 2010 establishes the National Dam Safety Policy, which requires safety reports and monitoring inspections for existing dams. The inspection comprises a set of devices installed on the dam, which are used to assess the structural behavior based on performance parameters of the structure, such as displacements, flows, stresses, slopes and others. Dam auscultation procedures, historically, have been performed since t

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38

Mirosław-Świątek, Dorota, Mariusz Kembłowski, and Władysław Jankowski. "Application of the Bayesian Belief Nets in dam safety monitoring." Annals of Warsaw University of Life Sciences - SGGW. Land Reclamation 44, no. 1 (2012): 25–33. http://dx.doi.org/10.2478/v10060-011-0059-8.

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Application of the Bayesian Belief Nets in dam safety monitoring The systems for earth dam monitoring should enable measurements of basic physical parameters describing the behavior of the structure, including: soil water pressure, soil stress, displacements, leaks, and drainage discharges. In the case of earth dam safety assessment, the monitoring data are used to detect any anomalies in dam behavior. In this paper, the dam safety has been analyzed using the Bayesian Nets. Two types of information: water pressure measurements and drainage discharge measurements are used in analyses. The seepa

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39

Lyapichev, Yury P. "Methods of analysis and risk assessment of accidents of hydraulic structures." Structural Mechanics of Engineering Constructions and Buildings 15, no. 4 (2019): 327–36. http://dx.doi.org/10.22363/1815-5235-2019-15-4-327-336.

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Relevance of the research is due to the fact that over the past 10 years severe accidents at large hydropower plants and dams occurred in Russia (SayanoShushenskaya HPP, 2009), USA (Oroville dam, 2018), Brazil (Brumadinho dike, 2019), Colombia (HPP Ituango, 2018) and other countries, the need has arisen to improve the safety programs of the HS and dams. The main method of this important work is to use methods of analysis and assessment of risk accidents of HS and dams. Methods of this important work are to develop modern methodology for analyzing and assessing the risk of accidents of HS and d

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40

Sato, Hiroyuki, Takashi Sasaki, Masafumi Kondo, et al. "Basic Investigation of Displacement Monitoring of Dams Following Earthquakes Based on SAR Satellite Data." Journal of Disaster Research 12, no. 3 (2017): 515–25. http://dx.doi.org/10.20965/jdr.2017.p0515.

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This paper presents a basic investigation of the displacement monitoring of dams following earthquakes using data obtained from an SAR (Synthetic Aperture Radar) satellite with the goal of quickly assessing the damage status. As an SAR satellite does not require ground-based measurement instruments, it can carry out displacement monitoring of an entire dam body surface and can acquire data without being affected by weather conditions. This means that SAR satellites can be relied upon to contribute to displacement monitoring of dams in the aftermath of earthquakes as well as during normal opera

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41

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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Karami, Shobeir, and Ezatollah Karami. "Sustainability assessment of dams." Environment, Development and Sustainability 22, no. 4 (2019): 2919–40. http://dx.doi.org/10.1007/s10668-019-00326-3.

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43

Klun, Mateja, Dejan Zupan, Jože Lopatič, and Andrej Kryžanowski. "On the Application of Laser Vibrometry to Perform Structural Health Monitoring in Non-Stationary Conditions of a Hydropower Dam." Sensors 19, no. 17 (2019): 3811. http://dx.doi.org/10.3390/s19173811.

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This paper presents the first application of the Laser Doppler Vibrometer (LDV) in non-stationary conditions within a hydropower plant powerhouse. The aim of this research is to develop a methodology to include non-contact vibration monitoring as part of structural health monitoring of concrete dams. We have performed in-situ structural vibration measurements on the run-of-the-river Brežice dam in Slovenia during the start-up tests and regular operation. In recent decades, the rapid development of laser measurement technology has provided powerful methods for a variety of measuring tasks. Desp

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Mirsaidov, U. M., Kh M. Nazarov, Sh G. Shosafarova, and M. M. Mahmudova. "Radon monitoring on the territory of Northern Tajikistan." Radiatsionnaya Gygiena = Radiation Hygiene 13, no. 1 (2020): 68–73. http://dx.doi.org/10.21514/1998-426x-2020-13-1-68-73.

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The article presents the results of radon monitoring on the territory of Northern Tajikistan. Analysis of the results of the monitoring shows that at present, relatively high values of radon concentration in the atmospheric air are found in the areas where uranium tailings are located, primarily in the city of Istiklol and the Dehmoy tailings dam. This is primarily due to the lack of protective coatings on the surface of the tail material, which turns this area, in fact, into radon-prone areas of technogenic origin. In different parts of the Dehmoy tailings dam, the radon concentration in the

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Hou, Rui Lian. "An Application of the Analysis and Forecasting Model Based on Time Series – Safety Monitoring of the Reservoir Dams at XiaShan." Applied Mechanics and Materials 201-202 (October 2012): 582–85. http://dx.doi.org/10.4028/www.scientific.net/amm.201-202.582.

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Adopting the sliding average value method, curve model method in the analytic approach of the array of time, we have established a time series model of the analysis and forecasting model and given an application at Xiashan Reservoir dams which can monitor the safety of the dams. In this paper we firstly have introduced the relevant technical theory of the time series, including the methods, concepts, principles,and so on. Then we have created a time series forecasting model, and finally we apply the model to Xiashan Reservoir Dams. We have predicted the data of the coming year at the same time

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Mohamed, Abdel-Monem S. "Crustal deformation monitoring around the High and old Aswan dams, Egypt." Acta Geodaetica et Geophysica Hungarica 40, no. 1 (2005): 15–31. http://dx.doi.org/10.1556/ageod.40.2005.1.2.

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47

Sousa, Joaquim J., Ivana Hlaváčová, Matúš Bakoň, et al. "Potential of Multi-temporal InSAR Techniques for Bridges and Dams Monitoring." Procedia Technology 16 (2014): 834–41. http://dx.doi.org/10.1016/j.protcy.2014.10.033.

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Kayode, O. T., A. M. Odukoya, T. A. Adagunodo, and A. A. Adeniji. "Monitoring of seepages around dams using geophysical methods: a brief review." IOP Conference Series: Earth and Environmental Science 173 (July 2018): 012026. http://dx.doi.org/10.1088/1755-1315/173/1/012026.

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Li, Fuqiang, Zhenyu Wang, Guohua Liu, Chunjiang Fu, and Jianjiang Wang. "Hydrostatic seasonal state model for monitoring data analysis of concrete dams." Structure and Infrastructure Engineering 11, no. 12 (2014): 1616–31. http://dx.doi.org/10.1080/15732479.2014.983528.

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Paté-Cornell, M. Elisabeth, and George Tagaras. "Risk Costs for New Dams: Economic Analysis and Effects of Monitoring." Water Resources Research 22, no. 1 (1986): 5–14. http://dx.doi.org/10.1029/wr022i001p00005.

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