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Hydrology of the Upper Ganga river – A report by the International Water Management Institute

This report by International Water Management Institute deals with the hydrology of the Upper Ganga river - the upper main branch of the river. To provide the background hydrological information for the assessment of environmental flow requirements at four selected ‘Environmental Flow’ sites, a hydrological model was set up to simulate the catchment in the present state (with water regulation  infrastructure) and to generate the natural flows (without water regulation infrastructure).

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Hydrology of the Upper Ganga river – A report by the International Water Management Institute (2011)1.73 MB

Location

Kanpur, UP, India
Latitude: 26.457904, Longitude: 80.320663

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Derivation of Geomorphological Instantaneous Unit Hydrographs for small catchments in hard rock regions - A research report by National Institute of Hydrology

In the study, the methodology developed at the National Institute of Hydrology to relate Clark model parameters to geomorphological characteristics has been used to develop unit hydrograph for two hard rock catchments, Barchi nala and Malaprabha up to Khanapur. This model has already been successfully implemented for simulation of flood events in small catchments of Upper Narmada and Kolar sub-basin of Narmada river as well as the Tapi sub-zone.Read More

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Derivation of GIUH for small catchments in hard rock region by NIH (1999-2000)1.18 MB

Location

Khanapur, KA, India
Latitude: 16.700000, Longitude: 77.016667

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Applications of Artificial Neural Networks in flood studies of Ajay river basin in Jharkhand - A research report by National Institute of Hydrology

The study evaluates the applicability of Artificial Neural Networks (ANN) in rainfall-runoff process modeling for the Ajay river basin, Jharkhand to predict the 6-hour ahead runoff at Sarath. Initially three flood events were considered for training, to find out the weights between different layers of the network. The back propagation algorithm has been used for optimization of weights. The developed ANN was validated for rest of the flood events.Read More

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Application of Artificial Neural Network in flood studies of Ajay river basin by NIH (1999-2000)1.03 MB
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Rainfall-runoff modeling of Morel catchment for design flood estimation – A research report by National Institute of Hydrology

In the present study, design flood estimation of Morel catchment of Rajasthan state is computed using the Synder approach, regional relationships as proposed by Central Water Commission, Clark's model, Soil Conservation Services (SCS) method and Geomorphological Instantaneous Unit Hydrograph (GIUH) based approach. Read More

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Rainfall-runoff modelling of Morel catchment for design flood estimation by NIH (1997-98)1.03 MB
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Rainfall-runoff modeling in Baitarni river upto Anandpur using HEC-1 model - A research report by National Institute of Hydrology

The study applies a hydraulic simulation model, Hydrologic Engineering Centre (HEC-1) to Baitarni river for modeling hourly flows of the river at Anandapur gauging site. HEC-1 model had been developed by US Army Corps of Engineers, for rainfall-runoff modeling. It provides a powerful automatic optimization technique for estimation of some of the parameters. The optimization technique of the model has been utilized in the present study and model parameters have been calibrated and validated for the study area.Read More

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Rainfall runoff modelling of Baitarani river basin upto Anandapura using HEC-1 by NIH (1998-99)427.2 KB

Location

Anandapur, OR, India
Latitude: 21.225561, Longitude: 86.111969

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