Chillara, ReddyVaraprasad
(2016)
Storage characterization through gravity-meter experiments and stream flow analysis: Consequences for dry weather flow prediction.
Masters thesis, Indian Institute of Technology Hyderabad.
Abstract
Dry weather
ow prediction is important as stream
ow during dry or rain-less periods, i.e. water
available for various usages, is generally very low. Generally hydrological models are employed to
predict dry weather
ow. However, they keep several parameters whose values need to be determined
through calibration, which is a cumbersome process. Furthermore, models usually under perform
during low
ow periods. The main aim of this study is to predict low
ow by utilizing as much
less information as possible.
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