Surface Water

The study attempts to apply the Shuffled Complex Evolution Algorithm (SCE-UA) of Duan et al for the calibration of a Conceptual Rainfall Runoff (CRR) model. CRR modeling lies intermediate between physically based models and black box models. 

The study has been conducted to develop a data simulation model and irrigation schedules for the eastern Godavari delta irrigation system, Andhra Pradesh. It aims at analysis of various factors that influence the irrigation operations and development of appropriate mathematical models and associated computer programs.

The study attempts to undertake surface modeling to simulate the water levels in the mouth portion of Vasishta-Godavari by taking the tidal effect during a flood season, by using the Finite Element Surface Water Modeling System (FESMWS) developed by United States Geological Survey (USGS) to model the reach. The objective is to simulate the surface water flow for a flood discharge of 2.35 lakh cusecs, under the effect of diurnal tide at the bay end.

The surface water levels of a river, especially at the mouth are required for planning and managing flood alleviation schemes and river engineering works. In the lower reaches of many rivers, flood plain inundation may result from very high tide or a very high flood or a combination of both. Also the extent of landward intrusion of saline water into a river at mouth varies with the relative strength of freshwater discharge and the co-oscillating tidal flow resulting from the dynamical interaction of the adjacent coastal waters.

In the study, the hydrogeomorphological parameters of Myntdu basin have been estimated from a digitized basin map where basic map data could be retrieved and manipulated quickly and accurately. The estimated geomorphological parameters of the basin covering linear, areal and relief aspects will be helpful in estimating and modeling the flow process in the basin.

The study applies TOPMODEL (Topography Model) to the Malaprabha catchment of Krishna river basin in Karnataka to simulate the daily flows at Khanapur site. The catchment area of Malaprabha up to discharge measuring site Khanapur is 520 sqkm. The model uses topographic index for the formation of runoff through development of a Digital Elevation Model (DEM) by interpolating the contours in the basin at 300 m grid size.

The report describes the results of the study of arsenic pollution in groundwater in Nadia as well as the hydro-chemical study of the river Hoogly in West Bengal. The alluvial tract along the river Hoogly covering a stretch of around 470 km encompassing eight districts is affected by arsenic pollution of ground water, the source being geogenic.

The report describes a software developed by the National Institute of Hydrology (NIH) for reservoir analysis in view of the importance of reservoir operation problem in the Indian context and the non-availability of generalized software for reservoir analysis.

The study attempts to estimate the recharge to groundwater due to rainfall and irrigation using tritium tagging techniques in parts of Narsinghpur district under the Narmada catchment in Madhya Pradesh. The estimation of recharge to groundwater is crucial to better water resources management, particularly in arid and semi-arid regions.

The Systems Hydrologique European – European Hydrological System (SHE) is a physically based distributed model and it provides a useful setup for understanding the importance of evaporation data and soil parameters. 

In this study, single column hydrologic simulations have been carried out for examining the sensitivity of this model to pan evaporation data of the various stations as well as the increase in conductivity of the unsaturated zone. Furthermore, the reduction in the value of exponent appearing in the Averjanov’s formula and reduction in the values of moisture content at wilting point and residual water content has been studied for a single grid of 2 km X 2 km size of the Narmada river.

The study attempts to explain flood wave propagation in natural and artificial channels within the perspective of site-specific rating curve. The study looks at the impacts of channel characteristics – bed slope, flood plains, channel shape, expansion-contraction combination, inactive storage, Manning’s roughness, expansion and contraction on flood wave propagation.