Government of Orissa

Bhubaneshwar, India

Government of Orissa

Bhubaneshwar, India

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Kar A.K.,Government of Orissa | Kar A.K.,Indian Institute of Technology Roorkee | Goel N.K.,Indian Institute of Technology Roorkee | Lohani A.K.,National Institute of Hydrology | Roy G.P.,FMIS Cell
Journal of Hydrologic Engineering | Year: 2011

The selection of suitable site characteristics and the number of clusters play an important role for finding homogeneous regions in regional flood frequency analysis. The present study investigates the partition of the Mahanadi basin into homogeneous regions by applying different clustering techniques by using fewer but influential variables. As such, the entire basin is not hydrometeorologically homogeneous. Principal component analysis has been initiated in finding appropriate site characteristics (variables) as per priority. Out of seven variables, four variables are selected on priority. Possible numbers of cluster are found by applying the Kohonen self-organization map and Andrews plot. Other clustering techniques, such as hierarchical clustering fuzzy C-mean (FCM) and K-mean, are applied on prioritized variables to verify the result of clustering. The intercomparison of clustering techniques gives the optimum number of sites to be placed in a particular cluster. The sites clustered as per FCM give more homogenous results. The entire basin is divided into two homogeneous clusters. The regional L-moment algorithm is used to test the homogeneity and to identify an appropriate underlying frequency distribution. An index flood is also stated relating to catchment characteristics by using the multiple linear regression approach. The results are compared with the previous studies of flood frequency on this basin. The study faces the limitation of less data availability to predict longer return period values (Q T ). DOI: 10.1061/(ASCE)HE.1943-5584.0000417. © 2012 American Society of Civil Engineers.


Sahu B.K.,Government of Orissa | Padhi S.,Berhampur University
Indian Journal of Environmental Protection | Year: 2011

Rapid pace of industrialization, concurrent growth of urbanisation, need and change of life style of over expanding population in Angul-Talcher industrial zone of Orissa have the potential to degrade the available surface water. Different surface water sources were studied in this area to know the status and seasonal variation of bacterial population for assessing potability. The analysis results revealed that pond and river water were having high coliform counts throughout the study period, thus unfit for drinking purpose without proper treatment. However, municipal tap water was found to be comparatively safe for use as drinking water. © 2011 - Kalpana Corporation.


Das S.,Government of Orissa | Patro K.C.,Mahatma Gandhi Cancer Hospital
Journal of Cancer Research and Therapeutics | Year: 2010

Over 8,00,000 new cases are diagnosed and 5,50,000 deaths occur annually due to cancer in India. The dramatic increase in morbidity and mortality due to cancer is a matter of concern for the society. Though the burden of cancer involves the entire nation, but the rural and underprivileged population represents majority of patients. Despite an already overwhelming burden of health problems, it is high time we must address the cancer pandemic and its alarming share of morbidity and mortality. Many large scale and innovative initiatives have been launched to counter the deadly disease. This includes efforts to expand the resources for health education and increase awareness of cancer prevention to the people and health care providers. These initiatives call for an unprecedented level of cooperation among international agencies, government and nongovernmental organizations, international foundations, healthcare system and local institutions. This review signifies the need for special attention to cancer prevention and early diagnosis with emphasis to rural and remote places of India.


Kar A.K.,Government of Orissa | Lohani A.K.,National Institute of Hydrology | Goel N.K.,Indian Institute of Technology Roorkee | Roy G.P.,Government of Orissa
Journal of Hydrology: Regional Studies | Year: 2015

Study region: Mahanadi Basin, India. Study focus: Flood is one of the most common hydrologic extremes which are frequently experienced in Mahanadi basin, India. During flood times it becomes difficult to collect information from all rain gauges. Therefore, it is important to find out key rain gauge (RG) networks capable of forecasting the flood with desired accuracy. In this paper a procedure for the design of key rain gauge network particularly important for the flood forecasting is discussed and demonstrated through a case study. New hydrological insights for the region: This study establishes different possible key RG networks using Hall's method, analytical hierarchical process (AHP), self organization map (SOM) and hierarchical clustering (HC) using the characteristics of each rain gauge occupied Thiessen polygon area. Efficiency of the key networks is tested by artificial neural network (ANN), Fuzzy and NAM rainfall-runoff models. Furthermore, flood forecasting has been carried out using the three most effective RG networks which uses only 7 RGs instead of 14 gauges established in the Kantamal sub-catchment, Mahanadi basin. The Fuzzy logic applied on the key RG network derived using AHP has shown the best result for flood forecasting with efficiency of 82.74% for 1-day lead period. This study demonstrates the design procedure of key RG network for effective flood forecasting particularly when there is difficulty in gathering the information from all RGs. © 2015.

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