Rivers

 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.

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 deals with the estimation of geomorphology parameters for small catchments using Geographical Information Systems (GIS). Stream channel morphology is literally the study of stream channel form and structure, but generally it is taken to mean their form and structures regarded as a whole or their collective morphology features. Systematic analysis of morphometry of any drainage basin and its stream system is of great importance in understanding the hydrological behavior of the basin.

In this report an attempt has been made to estimate the mean monthly reference crop evapotranspiration (ETo) for the Krishnai Irrigation Project in Assam. To undertake this analysis, the mean monthly climatological and physiographical data for the period of 1986 to 1994 has been collected from the Meteorological Department, Borjhar, Assam.

The study deals with the distribution of heavy metals on sediments under different flow conditions in the river Hindon. The river is subjected to varying degree of pollution caused by numerous untreated waste outfalls of municipal and industrial effluents.

The report presents an inventory of water bodies in the State of Jammu & Kashmir in the Western Himalayan region prepared using satellite data of IRS-1A (standard FCC, scale 1:250000) for 1988/ 99 and digital data of IRS-1C for 1998. Also, presented is a database developed with the help of Survey of India (SoI) topographic maps, which includes name and type of the water body, nearest place, district, river basin, geographical coordinates and elevation.

In this study, the mathematical model developed at the National Institute of Hydrology for estimation of the Clark model parameters using the geomorphological characteristics of an ungauged basin has been applied for simulation of the direct surface runoff (DSRO) hydrographs of the Ajay basin up to the Sarath gauging site of South Bihar.