Monitoring Krishna Flows in upper Krishna Basin to Forecast Reservoir Inflows Down Stream

Internet of things (IOT) is playing crucial role in forecasting inflows in to River/Reservoirs. Now a days many agencies like IMD, CWC, State Governments, International Organizations, NGO'S and others are collecting real time data by installing sensors. The information from various sources need to be gathered and compiled to make it as information at regular frequencies to enable decision makers to take decisions in real time. There are sensors installed in Krishna and Bhima basins of Maharashtra and also flows measured at different points in River Krishna by CWC. Inflows and outflows are measured at reference reservoirs to know in advance the likely inflows in river to make advance planning in downstream reservoirs on releases to canals, power generation and other uses from downstream projects. A case study of upper Krishna outflows are presented from Almatti for two monsoons during 2018 and 2019 by taking daily rainfall, cumulative rainfall as given by IMD and inflows and outflows from Almatti by KSNDMC. Cumulative rainfall of about 400mm and above results in Outflow from Almatti to facilitate filling up of reservoirs downstream. Three-year study gave insights, so as to use this approach for other basins for effective use of inflows in rivers as a result of monsoon rains which vary from year to year. The IOT is of great help to take advantage of data from sensors placed in sub basins by converting data in to information. Integration of data is one of the objectives of National Hydrology projects. Data integration from different agencies have to be explored now for decision support.