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Real Time Streamflow Forecasng and Reservoir Operaon System for Krishna and Bhima River Basins in Maharashtra (RTSF & ROS) The Krishna and Bhima basins in Maharasthra covering an are of 69,967 sq. km experience highly variable rainfall both in space & me ranging from 6000 mm in upper catchments to 400 mm in rain shadow areas (lower catchments). The basins experiences floods regularly. Sangli & Kolhapur districts in Krishna basin and Pune & Solapur districts in Bhima basin have experienced severe floods several mes during recent decade. Floods of 2005 and 2006 have caused heavy damages to the assets and loss of lives were reported. There are 46 medium and major reservoirs in the basin which are mulpurpose including hydropower, irrigaon, domesc and in- dustrial uses. These reservoirs are operated with rigid schedules as single enes based on the historical hydro-meteorological data and experience gained. These methods are oſten not adequate for establishing opmal operaonal decisions, especially where inte- grated operaon of mulple reservoirs for flood management is contemplated. In addion, manual data observaon and transmis- sion results in a considerable me lag, between data observed in field and its communicaon to decision making level which some- me leaves lile me, for flood forecasts. The Water Resources Department of Mahatashtra are now equipped with the Real Time Decision Support System (RT-DSS) with a web-based real me streamflow monitoring and forecasng and reservoir operaon system for flood management in the Krish- na and Bhima basins in Maharashtra. The Real Time Hydro-met network with 300 telemetry staons installed under the project provides rainfall, reservoir water levels, gate posions, river water levels and discharge along with other climac parameters required for RTDSS models, which consist of hydrological, hydrodynamic and real me flood forecasng modules. The RTDAS is fully integrated with the Knowledge Base System (KBS) developed for the Krishna and Bhima River basins, which consists of a comprehen- sive database of historical hydrological and GIS data. In addion to typical database funcons, KBS is capa- ble of performing a variety of data analysis including stascal analysis. The KBS is linked to the Real Time Reservoir Operaon and Forecasng models. The RTDSS is built on the MIKE11 modelling system which comprises the hydrological rainfall-runoff model, the hydraulic river roung model based on a fully dynamic soluon of the St. Venant’s equaons, the data assimilaon process used in real me flow and flood forecasng. The RTDSS has now been fully tested by WRD, Maharashtra with support from DHI, the project consultants. with real me data from RTDAS during the monsoon of 2013. The communicaon and informaon management system developed in the project, consist of three main components: Flow/Flood Warning Reports and Disseminaon thru SMS and E-mails, the RT-DSS Website and the main communicaon Web Portal (Krishna Bhima Online).

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Real Time Streamflow Forecasting and Reservoir Operation System for Krishna and Bhima River Basins in Maharashtra

(RTSF & ROS)

The Krishna and Bhima basins in Maharasthra covering an are of

69,967 sq. km experience highly variable rainfall both in space &

time ranging from 6000 mm in upper catchments to 400 mm in

rain shadow areas (lower catchments). The basins experiences

floods regularly. Sangli & Kolhapur districts in Krishna basin and

Pune & Solapur districts in Bhima basin have experienced severe

floods several times during recent decade. Floods of 2005 and

2006 have caused heavy damages to the assets and loss of lives

were reported.

There are 46 medium and major reservoirs in the basin which are

multipurpose including hydropower, irrigation, domestic and in-

dustrial uses. These reservoirs are operated with rigid schedules as

single entities based on the historical hydro-meteorological data

and experience gained. These methods are often not adequate for

establishing optimal operational decisions, especially where inte-

grated operation of multiple reservoirs for flood management is

contemplated. In addition, manual data observation and transmis-

sion results in a considerable time lag, between data observed in

field and its communication to decision making level which some-

time leaves little time, for flood forecasts.

The Water Resources Department of Mahatashtra are now

equipped with the Real Time Decision Support System (RT-DSS)

with a web-based real time streamflow monitoring and forecasting

and reservoir operation system for flood management in the Krish-

na and Bhima basins in Maharashtra.

The Real Time Hydro-met network with 300 telemetry stations

installed under the project provides rainfall, reservoir water levels,

gate positions, river water levels and discharge along with other

climatic parameters required for RTDSS models, which consist of

hydrological, hydrodynamic and real time flood forecasting

modules.

The RTDAS is fully integrated with the Knowledge

Base System (KBS) developed for the Krishna and

Bhima River basins, which consists of a comprehen-

sive database of historical hydrological and GIS data.

In addition to typical database functions, KBS is capa-

ble of performing a variety of data analysis including

statistical analysis. The KBS is linked to the Real Time

Reservoir Operation and Forecasting models.

The RTDSS is built on the MIKE11 modelling system

which comprises the hydrological rainfall-runoff

model, the hydraulic river routing model based on a

fully dynamic solution of the St. Venant’s equations,

the data assimilation process used in real time flow

and flood forecasting. The RTDSS has now been fully

tested by WRD, Maharashtra with support from DHI,

the project consultants. with real time data from

RTDAS during the monsoon of 2013.

The communication and information management

system developed in the project, consist of three

main components: Flow/Flood Warning Reports and

Dissemination thru SMS and E-mails, the RT-DSS

Website and the main communication Web Portal

(Krishna Bhima Online).

Real Time Weather Station

Reservoir Water Level Sensor (RADAR)

Overview Of RTSF & ROS

Accurate Discharge Measurement By ADCP.

The Chief Engineer & Executive Engineer of WRD (Maha)

discussing flood information at the control room