Storage characterization through gravity-meter experiments and stream flow analysis: Consequences for dry weather flow prediction

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.

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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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IITH Creators:
IITH CreatorsORCiD
Item Type: Thesis (Masters)
Uncontrolled Keywords: storage, recession flow, gravity
Subjects: Civil Engineering > Soil Structure Interaction
Divisions: Department of Civil Engineering
Depositing User: Team Library
Date Deposited: 04 Aug 2016 09:08
Last Modified: 04 Aug 2016 09:08
URI: http://raiith.iith.ac.in/id/eprint/2623
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