Presently, the reservoir operators of Sri Lanka, release water from the reservoirs once it reaches a particular threshold. This current practicing way increases the potential for dam failures, downstream flood risk, and public outrage. Therefore, for a low-income country, a total open-source solution combined with low-cost open-source hardware, free and open-source software, and open standards was seen as the only possible way to overcome the flood risk associated with reservoirs.

Thanks to the 4ONSE (4 times Open and Non-conventional technologies for Sensing the Environment) project, a dense open-source sensor network has been deployed in the Deduru Oya watershed. The 4ONSE big data has been utilized to develop the tank/reservoir management model to simulate the reservoir inflow. The calibration and validation results of the model have revealed the potential of the open technologies-based tank management model in controlling reservoir floods cost-effectively. This research was supervised by Prof. P.K.S. Mahanama, University of Moratuwa and Prof. M. Cannata, University of Applied Sciences and Arts of Southern Switzerland.

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