Abstract
The Alliance for Disaster Risk Reduction (ALTER) project began in February of 2018 with the goal of establishing public-private partnerships in Armenia to address flood risks that stem from water and mine dam failures. During the project duration, targeted work packages including extensive research, consensus building, technological implementation, and dissemination have been implemented covering flooding risk analyses and modeling for tailing storage facility and reservoir dam failures in the pilot areas of the Syunik and Lori regions. Based on the risk identification for the Kapan, Sisian, and Akhtala communities, disaster risk management and response plans were developed, tested, and refined during table top exercises conducted in those communities. Disaster response field exercises of unprecedented scale were implemented in Sisian, Kapan, and Akhtala involving more than 1300 participants. Public-private partnership MoUs were the logical outcome of the disaster risk management efforts at the local level.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Georisk, C.J.S.C.: Assessment of the Multi-Component Risk Determined by the Maximum Seismic Impact on the Kapan City (Multi-Hazard City Scenario). Project # ARM 10-0000005849. Final Report (2017)
Gevorgyan, A., Minasyan, R., Khondkaryan, V., Antonyan, A.: The Prediction of Possible Flooding of the Territory as a Result of the Accident of the Geghi Reservoir Dam (2014)
Wahl, T.L.: Dam breach modeling—an overview of analysis methods. In: Joint Federal Interagency Conference on Sedimentation and Hydrologic Modeling, 27 June–1 July 2010, Las Vegas, NV
Using HEC-RAS for Dam Break Studies: Compiled by Hydrologic Engineering Center of US Army Corps (2014)
Concha Larrauri, P., Lall, U.: Tailings dams failures: updated statistical model for discharge volume and runout. Environments 5, 28 (2018)
Rico, M., Benito, G., Diez-Herrero, A.: Floods from tailings dam failures. J. Hazard. Mater. 154, 79–87 (2008)
Chambers, D.M., Bowker, L.N.: Tailings Dam Failures 1915–2017. Available online: https://www.csp2.org/tsf-failures-1915-2017. Accessed on 16 Aug 2017
SCS: Simplified Dam-Breach Routing Procedure. United States Department of Agriculture, Soil Conservation Service (SCS). Technical Release No. 66 (Rev. 1), 39 (1981)
Wahl, T.L.: Prediction of Embankment Dam Breach Parameters—A Literature Review and Needs Assessment. Dam Safety Research Report, DSO-98-004. Water Resources Research Laboratory, U.S. Dept. of the Interior, Bureau of Reclamation, Dam Safety Office (DSO), July 1998
Wahl, T.L.: Evaluation of new models for simulating embankment dam breach. In: Association of State Dam Safety Officials (ASDO) Conference, Hollywood, Florida, 27 Sept–1 Oct 2009
Schlaffer, S., Harutyunyan, A.: Working Paper: LCLU Voghji River Basin. AUA Acopian Center for the Environment, AUA GIS and Remote Sensing Lab (2018)
Saaty, T.L.: Multicriteria Decision Making: The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation (1990)
Traneva, V., Tranev, S.: Existence of a solution of the problem of optimal control of mines for minerals. Adv. Stud. Contemp. Math. 21(3) (2018)
Acknowledgements
This work has been supported by the DG ECHO project called: “Alliance for disaster Risk Reduction in Armenia” with acronym: ALTER with Grand Reference: 783214 and the Bulgarian National Scientific Fund project number DFNI DN12/5 “Efficient Stochastic Methods and Algorithms for Large-Scale Problems”.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Dobrinkova, N., Arakelyan, A., Katsaros, E., Reynolds, S. (2021). Validation and Optimization of Dam Break Flood Risk Mapping Based on Field Test Cases in Armenia. In: Fidanova, S. (eds) Recent Advances in Computational Optimization. WCO 2019. Studies in Computational Intelligence, vol 920. Springer, Cham. https://doi.org/10.1007/978-3-030-58884-7_1
Download citation
DOI: https://doi.org/10.1007/978-3-030-58884-7_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-58883-0
Online ISBN: 978-3-030-58884-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)