A team of researchers from IIT M and students under the leadership of Professor Balaji Narasimhan of Civil Engineering Department of IIT Madras measured river discharges at several critical places across Adyar River to collect data in real-time during the Cyclone.

During the floods of 2015, such critical ground truth data and a reservoir inflow forecasting system through numerical models could have helped mitigate the impact.

Speaking about the significance of this project by a team of researchers from IIT M, Mr. K. Phanindra Reddy, Commissioner, Revenue Administration, Disaster Management and Mitigation, Government of Tamil Nadu, said the data collected during this field campaign by team of researchers from IIT M in close coordination with Tamil Nadu State Disaster Management Authority (TNSDMA) would be very useful to operationalize the Real Time Flood Forecasting (RTFF) and Spatial Decision Support System (SDSS) being coordinated by TNUIFLS under World Bank assisted Tamil Nadu Sustainable Urban Development Project (TNSUDP).

Professor Balaji who led the team of researchers from IIT M spoke about the technical aspects of the project.

He said as part of a robust flood management, rating curves at critical sections of the rivers are especially important to understand the volumetric flow rate (in m3/s or ft3/s) for different flow depths (in m or ft).

Once a rating curve is developed, an integrated network of water level sensors could be used to monitor the river discharges remotely and automatically at these critical river stretches, said Professor Balaji who led the team of researchers from IIT M.

Some preliminary model runs by researchers from IIT M showed that catchments of Somangalam, Manimangalam, Adhanur and Guduvanchery alone could have contributed to up to 70 per cent to 80 per cent of flood flows realised in Adyar River.

Realising this lacuna, the State Public Works Department (PWD) has begun installing sluice gates in many of the small tanks to regulate the water levels prior to the incoming floods.

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This data collection project arose after megafloods that hit Chennai during December 2015.

Researchers from IIT M along with IIT Bombay, Anna University and the National Centre for Coastal Research (NCCR), developed a pilot flood forecasting system with the funding support from the Principal Scientific Advisor, Government of India.

Through this funding support, a network consisting of 15 automatic weather stations, rain gauges and 6 water level recorders were also established in 2017.
However, since 2017 all the subsequent years were all below normal monsoon years and hence sufficient ground truth data in terms of river discharge rate at critical sections could not be collected to validate the models developed as part of the pilot flood forecasting system.

Speaking about the outcome of the project taken up by researchers from IIT M, Professor Balaji said this is an important exercise in calibrating and validating the developed flood forecasting models.

Professor Balaji who led the team of researchers from IIT M further said these models based on forecasted rainfall by the India Meteorological Department (IMD) at different lead times (from 3 hrs to 72 hrs and even longer) could be used to forecast the river stage and discharges.

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The ground truth collected during this field campaign during Cyclone Nivar showed that certain parts of Adyar river contributed to up to almost 70 per cent of flow realised in Adyar river at Anakaputhur with the rest contributed by the Chembarambakkam releases, said Professor Balaji, who led the researchers from IIT M.

Although Chennai did not encounter large scale flooding during Cyclone Nivar, certain localities in the city experienced some flooding and waterlogging.

Professor Balaji who led the team of researchers from IIT M said even more critical is, the collected data would be incredibly useful to manage and moderate the reservoir releases from Chembarambakkam, giving sufficient lead time for officials from Tamil Nadu State Disaster Mitigation Authority (TNSDMA) to issue warning to the public in low-lying regions and coordinate flood mitigation and relief measures

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