Establishing a Simple-yet-effective Approach of Early Warning System for Storm-Induced Earth-Filled Dam-Break Cases in Data-sparse Region

Keywords: Early Warning System, Dam-break, Evacuation Clearance Time, Data-sparse Region, Cengklik Dam


Historically, the occurrence of dam-break cases has been proven to cause significant loss of life and economical damage. Apart from the catastrophic nature of dam-breaks, the absence of a robust disaster prevention system exacerbates the disasters that occur. This study proposes an Early Warning System (EWS) to mitigate the impact of dam-break disasters. However, predicting the occurrence of such disasters is challenging, specifically in areas like Indonesia, where comprehensive data recording is lacking. While it may be difficult to predict the occurrence of a sunny day break, the storm-induced break is more predictable. Therefore, this study proposes a simple yet effective macro-based EWS for Earth-Filled Dam-Break Cases using a macro approach based on the Evacuation Clearance Time (ECT). By comparing the ECT value with the arrival time of the floods from the affected areas, additional evacuation time can be obtained, which will be used to determine the EWS. The proposed EWS for Cengklik Dam is given in three levels of warning indicated by the reservoir water level at +141.36 m, +141.40 m, and +141.45 m. With the proposed EWS, the results show that 100% of people are expected to reach the evacuation point safely. The case study shows that the proposed EWS can significantly reduce the risk impact of the dam-break events.


Badan Pusat Statistik Kabupaten Sragen, 2019. Kecamatan Tanon Dalam Angka 2019 [Tanon District in Number 2019). [Online] Available at : [Accessed 14 July 2022]

Badan Pusat Statistik Kabupaten Sragen, 2019. Kabupaten Sragen Dalam Angka 2019.

Brown, C. A., & Graham, W. J., 1988. Assessing the threat to life from dam failure. JAWRA Journal of the American Water Resources Association, 24(6), 1303–1309.

Chen, Y., & Lin, P., 2018. The total risk analysis of large dams under flood hazards. Water (Switzerland), 10(2).

Cheng, C., Qian, X., Zhang, Y., Wang, Q., & Sheng, J., 2011. Estimation of the evacuation clearance time based on dam-break simulation of the Huaxi Dam in Southwestern China. Natural Hazards, 57(2), 227–243.

Froehlich, D. C., 2008. Embankment Dam Breach Parameters and Their Uncertainties. Journal of Hydraulic Engineering, 134(12), 1708–1721.

Ge, W., Jiao, Y., Sun, H., Li, Z., Zhang, H., Zheng, Y., Guo, X., Zhang, Z., & van Gelder, P. H. A. J. M., 2019. A method for fast evaluation of potential consequences of dam breach. Water (Switzerland), 11(11), 1–12.

Huaizhi, S., Jiang, H., & Zhongru, W., 2012. A study of safety evaluation and early-warning method for dam global behavior. Structural Health Monitoring, 11(3), 269–279.

Kompas News Portal, 2021. Jokowi: Ada 65 Bendungan yang Telah Dibangun Sejak 6 Tahun Lalu. [Online] Available at : [Accessed 18 July 2022]

Lahoorpoor, B., & Levinson, D., 2019. The Transit Travel Time Machine: Comparing Three Different Tools for Travel Time Estimation. University of Sydney.

Li, W., Li, Z., Ge, W., & Wu, S., 2019. Risk evaluation model of life loss caused by dam-break flood and its application. Water (Switzerland), 11(7), 1–12.

Li, Z., Li, W., & Ge, W., 2018. Weight analysis of influencing factors of dam break risk consequences. Natural Hazards and Earth System Sciences, 18(12), 3355–3362.

Lindell, M. K., Sorensen, J. H., Baker, E. J., & Lehman, W. P., 2020. Community response to hurricane threat: Estimates of household evacuation preparation time distributions. Transportation Research Part D: Transport and Environment, 85, 102457.

PT Metanna Engineering., 2020. Laporan Pendahuluan : Persiapan dan penetapan ijin operasi Bendungan Cengklik, Ketro, dan Delingan serta uji model fisik Bendungan Pacal.

Republika News Portal, 2013. Bendungan Way Ela Jebol, Ribuan Masyarakat Mengungsi. [Online] Available at : [Accessed 14 July 2022]

Sattar, A., Konagai, K., Kiyota, T., Ikeda, T., & Johansson, J., 2011. Measurement of debris mass changes and assessment of the dam-break flood potential of earthquake-triggered Hattian landslide dam. Landslides, 8(2), 171–182.

Shi, L., Xie, Q., Cheng, X., Chen, L., Zhou, Y., & Zhang, R., 2009. Developing a database for emergency evacuation model. Building and Environment, 44(8), 1724–1729.

Su, H., Wen, Z., Yan, X., Liu, H., & Yang, M., 2018. Early-warning model of deformation safety for roller compacted concrete arch dam considering time-varying characteristics. Composite Structures, 203, 373–381.

Su, H. Z., & Wen, Z. P., 2005. Intelligent early-warning system of dam safety. 2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005, August, 1868–1877.

Sun, R., Wang, X., Zhou, Z., Ao, X., Sun, X., & Song, M., 2014. Study of the comprehensive risk analysis of dam-break flooding based on the numerical simulation of flood routing. Part I: Model development. Natural Hazards, 73(3), 1547–1568.

Tempo News Portal, 2021. 27 Maret 12 Tahun Lalu, Bencana Tanggul Situ Gintung Jebol, Tewaskan 99 Orang. [Online] Available at : [Accessed 14 July 2022]

Yudianto, D., Ginting, B. M., Sanjaya, S., Rusli, S. R., & Wicaksono, A., 2021. A Framework of Dam-Break Hazard Risk Mapping for a Data-Sparse Region in Indonesia. ISPRS International Journal of Geo-Information, 10(3), 110.

How to Cite
Yudianto, D., Wiguna, F., Ginting, B. M., Wicaksono, A., & Yuebo, X. (2023). Establishing a Simple-yet-effective Approach of Early Warning System for Storm-Induced Earth-Filled Dam-Break Cases in Data-sparse Region. Journal of the Civil Engineering Forum, 9(2), 151-160.