Compliance of Haditha Dam in Iraq to the International Standards for Surveillance and Monitoring

Main Article Content

Alyaa Jumaah Hadi
Thamer Ahmed Mohammed


Dams are mega structures that retain huge volumes of water and their safety is important to national security, economy, and public interest. In this study, the types of regular measurements with their recorded value for Haditha Dam were checked for compliance with the standard international surveillance and monitoring procedures such as the procedures of the International Commission on Large Dams (ICOLD), the United States Bureau of Reclamation (USBR)and other to ensure safe dam operation and to avoid the scenario of the Derna Dam break, in Libya that occurred in September 2023. The result shows that the highest recorded settlement was found at station 41 on the left side of the dam body exceeding the design criteria (219 mm) by about 51 %, the frequency of measurement does not comply with the required international standards. There are 7 cells of pore pressure that exceeded the design criteria and the greatest percentage of exceedance was 21.57 % was found at pore pressure number 995. For piezometer reading, the percentage exceedance was 9.1% and it was found on the left side at piezometers number 58-8. The highest percentage of movement 62 % was found at join meter device number D18. The recorded seepage rate through the dam was found within the permitted limits. The visual inspection followed at Haditha Dam was not according to the standard required inspection.

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How to Cite
“Compliance of Haditha Dam in Iraq to the International Standards for Surveillance and Monitoring” (2024) Journal of Engineering, 30(07), pp. 35–58. doi:10.31026/j.eng.2024.07.03.

How to Cite

“Compliance of Haditha Dam in Iraq to the International Standards for Surveillance and Monitoring” (2024) Journal of Engineering, 30(07), pp. 35–58. doi:10.31026/j.eng.2024.07.03.

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Alba, M., Fregonese, L., Prandi, F., Scaioni, M. and Valgoi, P., 2006. Structural monitoring of a large dam by terrestrial laser scanning. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 36(5), P.6.

Adamo, N., Sissakian, V.K., Al-Ansari, N., Elagely, M., Knutsson, S. and Laue, J., 2018. Comparative study of Mosul and Haditha dams in Iraq: different construction materials contribute to different designs. Journal of Earth Sciences and Geotechnical Engineering, 8(2), pp.71-89.

Adamo, N., Al-Ansari, N., Sissakian, V., Laue, J. and Knutsson, S., 2021. Dam safety: use of instrumentation in dams. Journal of Earth Sciences and Geotechnical Engineering, 11(1), pp.145-202. Doi:10.47260/jesge/1115.

Mohammed Ali, A.A.S. and Abed, Z.A.H., 2018. Derivation of operation rule for ilisu dam. Journal of Engineering, 24(6). pp.53–71. Doi:10.31026/j.eng.2018.06.05.

AL-kanani, Y.H., 2009. Displacement computation of Mosul dam by using free geodetic network adjustment. Doctoral dissertation, University of Baghdad, Baghdad, Iraq.

Al-Shlash, K.T., Ali, E.F. and Alwash, H.H., 2010. Effect of pore water pressure parameters on the stability of Al-Ad'daim earth dam. Engineering and Technology Journal, 28(8). Doi:10.30684/etj.28.8.9.

Alridha, N.A., Baqir, R.A. and Hamid, A.R., 2012. Seismicity and seismotectonic study for Altunkopri dam site north Iraq. Iraqi Journal of Science, 53(3), pp.595-601.

Alzamily, Z.N. and Sh. Abed, B., 2022. Experimental and theoretical investigations of seepage reduction through zoned earth dam material with special core. Materials Today: Proceedings, pp.998–1005. Doi:10.1016/j.matpr.2021.10.283.

Auckland Regional Council. 2012. Dam safety guidelines Guidelines for construction, maintenance, and monitoring.North Island, NewZland.

Aufleger, M., Conrad, M., Goltz, M., Perzlmaier, S. and Porras, P., 2007. Innovative dam monitoring tools based on distributed temperature measurement. Jordan Journal of Civil Engineering, 1(1), pp.29-37.

Bashar, K.E., Khudair, B.H. and Khalid, G.K., 2015. Calibration and verification of the hydraulic model for the Blue Nile river from roseires dam to Khartoum City. Journal of Engineering, 21(12), pp.46–62. Doi:10.31026/j.eng.2015.12.04.

Bonelli, S. and Royet, P., 2001. Delayed response analysis of dam monitoring data. In ICOLD European symposium on dams in a European context.

Borghero, C., 2018. Feasibility study of dam deformation monitoring in Northern Sweden using Sentinel1 SAR interferometry.

Bukenya, P., Moyo, P., Beushausen, H. and Oosthuizen, C., 2014. Health monitoring of concrete dams: a literature review. Journal of Civil Structural Health Monitoring, 4, pp.235-244.

Charlwood, R., Shiferaw, F., Hattingh, L., Gasmelseed, K.M., Roberts, P., Ghany, H., Asfaw, G. and Isaac, C., 2014. Situational Assessment Report for Dam Safety Management in the Eastern Nile Sub-Basin.

Chen, S., Gu, C., Lin, C., Wang, Y. and Hariri-Ardebili, M.A., 2020. Prediction, monitoring, and interpretation of dam leakage flow via adaptative kernel extreme learning machine. Measurement, 166, p.108161.

Cheng, L. and Zheng, D., 2013. Two online dam safety monitoring models based on the process of extracting environmental effects. Advances in Engineering Software, 57, pp.48-56

Chouinard, L. and Roy, V., 2006, June. Performance of statistical models for dam monitoring data. In Joint international conference on computing and decision making in civil and building engineering, Montreal, pp. 14-16.

Clarkson, L., Williams, D. and Seppälä, J., 2021. Real-time monitoring of tailings dams. Georisk, 15(2), pp.113–127. Doi:10.1080/17499518.2020.1740280.

Dai, B., Gu, C., Zhao, E. and Qin, X., 2018. Statistical model optimized random forest regression model for concrete dam deformation monitoring. Structural Control and Health Monitoring, 25(6), p.e2170.

Darbre, G.R. and Proulx, J., 2002. Continuous ambient vibration monitoring of the arch dam of Mauvoisin. Earthquake engineering & structural dynamics, 31(2), pp.475-480.

De Membrillera, M.G., Gómez, R. and De la Fuente, M., 2019. Dam monitoring flaws and performance issues: Some thoughts and recommendations. In Sustainable and Safe Dams Around the World/Un monde de barrages durables et sécuritaires (pp. 1117-1129). CRC Press.

DOUGLAS, G., 2021, February. Monitoring and instrumentation strategies for new and existing dams. In Symposium on Sustainable Development of Dams and River Basins, 24, P. 27.

Fabritius, A., Heinemann, B., Dornstädter, J. and Trick, T., 2017. Distributed fiber optic temperature measurements for dam safety monitoring: current state of the art and further developments. In Proceedings of the Annual

South African National Committee on Large Dams (SANCOLD) Conference, Centurion, Tshwane, South Africa.

Gaagai, A., Aouissi, H.A., Krauklis, A.E., Burlakovs, J., Athamena, A., Zekker, I., Boudoukha, A., Benaabidate, L. and Chenchouni, H., 2022. Modeling and risk analysis of dam-break flooding in a semi-arid Montane watershed: a case study of the Yabous Dam, Northeastern Algeria. Water, 14(5), P.767. Doi:10.3390/w14050767.

Ghali, H.M. and Azzubaidi, R.Z., 2021. Managing the flood waves from Hemrin dam. Journal of Engineering, 27(7), pp.42–52. Doi:10.31026/j.eng.2021.07.04.

Gikas, V. and Sakellariou, M., 2008. Settlement analysis of the Mornos earth dam (Greece): Evidence from numerical modeling and geodetic monitoring. Engineering Structures, 30(11), pp.3074-3081.

Glisic, B., Inaudi, D., Kronenberg, P. and Vurpillot, S., 1999. Dam monitoring using a long SOFO sensor. Proceedings of the Hydropower into Next Century, Gmunden, Austria, pp.18-20.

Gómez López De Munain, R. and Merino Vidruero, J., 2012. Dam safety monitoring to assess val dam behavior. Zaragoza, 23, P.25.

González-Aguilera, D., Gómez-Lahoz, J. and Sánchez, J., 2008. A new approach for structural monitoring of large dams with a three-dimensional laser scanner. Sensors, 8(9), pp.5866–5883. Doi:10.3390/s8095866.

DRIP, 2017. Guidelines for Instrumentation of Large Dams. New Delhi. Dam Safety Rehabilitation Directorate. NewDelhi, India

Hossein, S., Etemadifar, M. and Aghamolaie, I., 2017. Monitoring of Masjed Soleyman dam based on instrumentation data. International Journal of Innovative Science, Engineering & Technology, 4(5), pp.78-99.

Khalaf, Y.H., Abdulateef, N.A. and Salman, A.D., 2018. Computation of deformation in networks geodetic by least squares method and ellipse of errors. Association of Arab Universities Journal of Engineering Sciences, 25(3), pp.100-109.

ICOLD Bulletin, 2020. General principles and framework for dam safety, ICOLD, Paris, France.

ICOLD, 2018. Dam Surveillance Guide Guide De La Surveillance Des Barrages. [Online] Available At: <>.

ICOLD-B118,2000. Automated-dam-monitoring-systems-Guidelines, ICOLD, Paris, France. Available at:

Jänichen, J., Schmullius, C., Baade, J., Last, K., Bettzieche, V. and Dubois, C., 2022. Monitoring of radial deformations of a gravity dam using sentinel-1 persistent scatterer interferometry. Remote Sensing, 14(5). Doi:10.3390/rs14051112.

Jensen, J. and Leijström, M., 2022. Use of Digital Image Correlation for monitoring of concrete buttress dam failure model tests, Department of Civil and Architectural Engineering Division of Concrete Structures Stockholm, Sweden.

Johansson, S., 1997. Seepage monitoring in embankment dams (Doctoral dissertation, Institutionen för anläggning och miljö). Department of Civil and Environmental Engineering Royal Institute of Technology S-100 44 Stockholm, Sweden.

Kale, Ö.A., Aşikoğlu, Ö.L. And Baradan, S., 2022. Evaluation of Occupational Safety in the Operation and Maintenance Activities of Dams. Teknik Dergi, 33(5), pp.12709-12724.

Kibler, K.M., Tullos, D.D. and Kondolf, G.M., 2011. Learning from dam removal monitoring: challenges to selecting experimental design and establishing the significance of outcomes. River Research and Applications, 27(8), pp.967-975.

King, L.M. and Simonovic, S.P., 2020. A deterministic Monte Carlo simulation framework for dam safety flow control assessment. Water, 12(2), P.505.

Li, T., Motagh, M., Wang, M., Zhang, W., Gong, C., Xiong, X., He, J., Chen, L. and Liu, J., 2019. Earth and rock-filled dam monitoring by high-resolution X-band interferometry: Gongming dam case study. Remote sensing, 11(3), p.246.

Lin, P., Li, Q., Fan, Q. and Gao, X., 2013. Real-time monitoring system for workers' behavior analysis on a large-dam construction site. International Journal of Distributed Sensor Networks, 9(10), p.509423.

Loperte, A., Bavusi, M., Cerverizzo, G., Lapenna, V. and Soldovieri, F., 2011. Ground penetrating radar in dam monitoring: The test case of Acerenza (Southern Italy). International. Journal of Geophysics, 2011. Doi:10.1155/2011/654194.

Luzi, G., Crosetto, M. and Monserrat, O., 2010. Advanced techniques for dam monitoring. In Proceedings of the 2nd International Congress on Dam Maintenance and Rehabilitation, Zaragoza, Spain, pp. 23-25.

Mahdi, A. and Rezouki, S., 2017. Developing a management system for assessing dam safety in Iraq. Journal of Garmian University, 4(4), pp.409–427.

Mainali, G., Nordlund, E., Knutsson, S. and Thunehed, H., 2015. Tailings dam monitoring in Swedish mines using self-potential and electrical resistivity methods. Electronic Journal of Geotechnical Engineering, 20(13), pp.5859–5875.

Marini, P.P., Baldoni, P., Farina, F., Cortezzi, F. and Masera, A., 2004. Ridracoli dam: surveillance and safety evaluation report on the internet page. In Long-term benefits and performance of dams: Proceedings of the 13th Conference of the British Dam Society and the ICOLD European Club meeting held at the University of Kent, Canterbury, UK from 22 to 26 June 2004., pp. 247-255.

Milillo, P., Perissin, D., Salzer, J.T., Lundgren, P., Lacava, G., Milillo, G. and Serio, C., 2016. Monitoring dam structural health from space: Insights from novel InSAR techniques and multi-parametric modeling applied to the Pertusillo dam Basilicata, Italy. International journal of applied earth observation and geoinformation, 52, pp.221-229.

Monteiro-Alves, R., Toledo, M., Moran, R. and Balairón, L., 2022. Failure of the downstream shoulder of rockfill dams due to overtopping or throughflow. Water (Switzerland), 14(10).

Government of Malaysia,2017. Malaysia Dam Safety Management Guidelines(My dams).Kuala Lumpur, Malaysia. Available at:

National Research Council, 1983. Safety of existing dams: Evaluation and improvement. National Academies Press.United States of America.

Nordström, E., Malm, R., Blomdahl, J., Tornberg, R. and Nilsson, C.O., 2015. Optimization of dam monitoring for long concrete buttress dams. In ICOLD Symposium, 13-20 June, Stavanger, Norway.

NZSOLD, 2000. Regular of New Zealand Dam Safety Guidelines, Appendix A. The New Zealand Society on Large Dams, New Zealand -Available at

Pereira, S., Magalhães, F., Gomes, J.P., Cunha, Á. and Lemos, J.V., 2018. Dynamic monitoring of a concrete arch dam during the first filling of the reservoir. Engineering Structures, 174, pp.548-560.

Peres, F.F., Scheer, S. and de Faria, É.F., 2018. A taxonomy of tasks in dam cracks surveillance for augmented reality application. International Journal of Advanced Engineering Research and Science, 5(10), p.266169.

Pipitone, C., Maltese, A., Dardanelli, G., Lo Brutto, M. and La Loggia, G., 2018. Monitoring water surface and level of a reservoir using different remote sensing approaches and comparison with dam displacements evaluated via GNSS. Remote Sensing, 10(1), P.71.

Pytharouli, S.I. and Stiros, S.C., 2005. Ladon dam (Greece) deformation and reservoir level fluctuations: evidence for a causative relationship from the spectral analysis of a geodetic monitoring record. Engineering Structures, 27(3), pp.361-370.

Qiu, Z., Jiao, M., Jiang, T. and Zhou, L., 2020. Dam structure deformation monitoring by GB-InSAR approach. IEEE Access, 8, pp.123287-123296.

Rahmati, O., Kalantari, Z., Samadi, M., Uuemaa, E., Moghaddam, D.D., Nalivan, O.A., Destouni, G. and Tien Bui, D., 2019. GIS-based site selection for check dams in watersheds: considering geomorphometric and topo-hydrological factors. Sustainability, 11(20), P.5639.

Reguzzoni, M., Rossi, L., De Gaetani, C.I., Caldera, S. and Barzaghi, R., 2022. GNSS-based dam monitoring: the application of a statistical approach for time series analysis to a case study. Applied Sciences (Switzerland), 12(19).

Sadiq, A.M. and Albusoda, B.S., 2020. Experimental and theoretical determination of settlement of shallow footing on liquefiable soil. Journal of Engineering, 26(9), pp.155–164.

Seyed-Kolbadi, S.M., Hariri-Ardebili, M.A., Mirtaheri, M. and Pourkamali-Anaraki, F., 2020. Instrumented health monitoring of an earth dam. Infrastructures, 5(3).

Srivastava, A., 2011. Geotechnical Instrumentation, monitoring, and Surveillance in Earth Dam Safety Program Geotechnical Instrumentation, [online] Available at:

Sulyman, M. (2018)/ Sustainable Resources Management, 3(2) 67-78

Sunantyo, T.A., Basah, S.K., Fakrurazzi, D., Adin, S., Adhi, D. and Susilo, A., 2012. Design and installation for dam monitoring using multi sensors: a case study at Sermo dam. Yogyakarta Province, Indonesia, FIG Working Week.

Supakchukul, U., Laungnarutai, W., Jinthanakorn, P., Brohmsubha, P., Raphitphan, N., Suwatthikul, J. and Vanijjirattikhan, R., 2019, September. Automatic dam safety evaluation. In 2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) (pp. 785-790). IEEE

The State Commission of Dams and Reservoirs, 2020. Technical report for Haditha Dam. Ministry of Water Resources, Baghdad, Iraq.

Vincent, E., Emeka, O.M. and Dominic, P., 2020. Dam and its Failure: A Brief Review of some selected Dams around the World. Adamawa State University Journal of Scientific Research, [online] 8. Available at: <>.

Wang, J., Sheng, Y. and Tong, T.S.D., 2014. Monitoring decadal lake dynamics across the Yangtze Basin downstream of Three Gorges Dam. Remote Sensing of Environment, 152, pp.251-269.

Zainal, A.K.E., 2003. Two-Dimensional Consolidation Analysis of Partially Saturated Soils By Using the Finite. 14(February), pp.2232–2255.

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