Orissa

 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.

This document by ACWADAM is a report of a rapid geohydrological assessment of some of the microwatersheds from parts of Bolangir district Orissa.

Bolangir district in Orissa forms a part of one of the hottest and backward regions of India with low land-productivity, and opportunities and technologies for agriculture in the district remain relatively unexplored.

Vagaries of rainfall and the underlying hard-rock geology further compound the problem and limit agricultural productivity to a great extent. Given such natural uncertainties, systematic implementation of a watershed management programme is the most viable avenue to overcome the problems of this region.

Bolangir district was thus selected as pilot area to conduct a pre-feasibility exercise for planning of water resources management. ACWADAM, Pune was invited, along with Samaj Pragati Sahayog, Bagli to conduct this pre-feasibility exercise.

The subsurface aquifer systems in Mahanadi delta region in Orissa (India) is largely characterized by two groups of freshwater aquifer systems, both of which are prone to saline water mixing/migration with time and development:

• The south western Mahanadi delta region is represented by unconfined to semi-confined freshwater aquifers underlained by brackish/saline aquifer systems with a diffusion boundary.
• The north eastern parts of Mahanadi delta is represented by deep freshwater confined aquifers overlained by brackish/saline water aquifers with aquitard/ aquiclude boundary.

ABSTRACT

Orissa becomes the first state in the country to have earned the distinction of having action plan on climate change. Following the National Action Plan of India started in 2008 the document of Orissa provides the action for the period of 2010-2015 having a budget of 17,000 crore.

In this study, a Hydrologic Simulation Model (HYSIM) is applied to the Rushikuliya river basin in Orissa to model the daily flows of the river at Purushottampur. The model used in the study is a menu-driven PC based version and contains modes both for optimization and production runs.

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.

The study suggests a procedure based on the methodology of Gustard et al (1992) for estimation of baseflow index (BFI) using the mean daily discharge data over a period of 4 to 6 years for three rivers between the Mahanadi and Godavari deltas. The rivers from the Zone 4 (A) are Rushikuliya at Purushottampur in Orissa, Nagavalli at Narayanpuram wier and Sarada at Anakapalli in Andhra Pradesh.

The study attempts to advance the understanding of regional drought phenomenon in the Kalahandi district of Orissa and present mitigation strategies. The dry spells during the monsoon crop growing season and wide variations in the quantum of rainfall from year to year result in frequent failure of crops in Kalahandi and as a result the district is categorised as drought prone.