Prediction of Flood and its Smart Remote Control

Document Type : Research Paper


1 Professor, Faculty of Civil Engineering, University of Tabriz, Tabriz, Iran

2 Faculty of Civil Engineering, University of Tabriz, Tabriz, Iran.

3 PhD Candidate, MSC, Faculty of Civil Engineering, University of Tabriz, Tabriz, Iran.


Heavy, long-term precipitations can lead to severe floods in most drainage basins, thus causing financial losses and casualties­ (Fotakis and Sidiropoulos, 2014, Avila-Melgar, et al. 2017). Low precipitation, lack of surface water and groundwater, and increased demand for water calls for optimized use of reservoirs and floods. Inevitably, critical points should be identified and simple non-structural and structural methods or a combination of both, which are environmentally friendly and feasible, should be employed for flood prediction and control. In addition to imposing considerable costs, construction of flood control installations cannot fully eliminate the flood risks and, therefore, more severe floods may still lead to disasters. Construction of large flood control structures such as dykes is not only financially unjustifiable, but also inappropriate as solution both environmentally and socioeconomically. Flood prediction and alarm systems are among the non-structural criteria the importance of which are further realized over time. Installation and implementation of smart flood prediction and alarm systems can lead to reduced casualties and damages from both perspectives of flood risk management and nonstructural management.


Main Subjects

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