National Institute of Hydrology (NIH)

 Ghodadoha is a rock-filled earthen dam located in one of the tributaries of the Rushikuliya river of Orissa.

The research study attempts to develop a rainfall-runoff model using the Artificial Neural Network (ANN) technique for the Baitarni river in Orissa. A detailed review of the research work in the area of interest revealed that the approach of neural computations was very effective in developing the required model, due to its various advantages. Accordingly, three candidate models based on ANN architecture were developed for the study area, to represent rainfall-runoff transformation.

In the study, raingauge network design has been developed for the Pagladiya basin of Brahmaputra river in Nalbari, Assam and Bhutan. Precipitation is the most basic data required for any water resources study and the estimation of the number & location of raingauge stations that provide adequate information regarding rainfall falling over the catchment is referred to as network design. A raingauge network is intended to serve general as well as specific purposes such as water supply, hydropower generation, flood forecasting, irrigation and flood control.

The study attempts to determine the useful life of the Bargi reservoir and assesses the sedimentation rate in it using satellite data. Periodical surveys are essential to provide a correct understanding of the sedimentation process going on in a reservoir, so that remedial measures can be undertaken well in advance and reservoir operation schedule planned for optimum utilization of water.

The study attempts to develop a conjunctive use model involving judicious use of surface and groundwater for the Habibpur region of Gandak command in Bihar. The area is characterized by insufficient surface water during rabi and summer seasons and excess surface water in the kharif season.

The report deals with the field testing of weighing rain gauge. Reliable and accurate measurement of rainfall is an essential requirement in hydrological studies. For automated recording of rainfall data, tipping bucket rain gauges are generally used.

The report emphasizes the necessity of Computer Aided Learning and presents a Learning Package on Hydrology covering various important elements of hydrology including the definitions and figures in a simple and straight forward language.

In this study, a model has been developed considering surface flow component and subsurface flow component along with the evapotranspiration from the crop as the sink term for the Lokapavani area of KR Sagar command of Karnataka. The surface flow component is represented using one-dimensional St-Venant equations and the subsurface flow component is represented using one-dimensional Richards equation with the sink term for the evapotranspiration from crop.

The report attempts asymptomatic estimation of runoff curve number for small hard rock watersheds from rainfall-runoff data.One of the major activities in Applied Hydrology is the estimation of storm event runoff from ungauged small watersheds. Such estimates are often required in the design of small hydraulic structures and in formulation of watershed management strategies.

The report attempts to do a comparison of single and multiple flow direction algorithms for computing topographic parameters in TOPMODEL. Topography is an important factor that influences the physical phenomenon of rainfall-runoff. Undeniably, it plays a primary role in the gravity drainage within a basin. In the last decade, ever-developing computer techniques associated with the greater availability of terrain data in digital form has favored the production of physically based models, which have spatial variability of topography built into their structure.