Flood and forecasting of reservoirs of hilly catchment using mike by DHI
Student name: Mr Arijit Ganguly
Guide: Ms Ranjana Ray Chaudhuri
Year of completion: 2014
Host Organisation: DHI (India) Water & Environment Pvt Ltd, New Delhi
Supervisor (Host Organisation): Mr Vijay Kumar
Abstract: This study has been carried out in river Beas catchment till Pong
reservoir, Himachal Pradesh, for modelling of hydrological as well
as hydraulic channel flow of the river and the tributaries. The
study is focused about the flood modelli ng and reservoir
forecasting from the river and tributaries using Hydr odynamic and
rainfall-runoff relationship coupling model and data assimilation
technique. In this study the key objective is runoff generations in
the catchment and sub-catchments from rainfall and catchment
characteristics and contribution to the reservoir inflow, open
channel flow to the reservoir for flood modelling and inflow
forecasting to the reservoir from main rivers and tributaries of a
hilly catchment using MIKE by DHI tool.
Data has been collected from NDC, IMD, Pune and BBMB,
Chandigarh for the study. The SRTM 90 m resolution DEM data
has downloaded and used for network generation, catchment
delineation and cross-section generation. The NAM model is used
for the study to modelling of the rainfall and runoff relationship of
the catchment.
Model has analysed about the runoff contribution to the reservoir
and correlate with the inflow coming to the reservoir. The model
has calibrated and validate for the both parts of the study based on
the meteorological, hydrological and catchment parameters based
on the physical characteristics. The model also shows how
sensitive the rainfall and runoff relationship is to the observed
data. The water level is forecasted for the reservoir from the
catchment.
The study is carried out based on the available historic al and
realtime databases. MIKE 11 simulates the model of the catchment
hydrodynamic and rainfall runoff for the coupling and data
assimilation technique for the forecasting purpose. This model is
also can carried out for the other different studies for th e
catchment by making the user defined scenarios.
Keywords: SRTM, hydrodynamic model, data assimilation,
forecasting, MIKE 11, rainfall runoff relationship, catchment
parameters, network, cross-section.
