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Sagar
Quantitative data on water quality: A compilation of papers that present physico-chemical analyses of various water sources in India
Posted on 24 Feb, 2012 08:31 AMAssessment of physico-chemical quality of groundwater in rural area nearby Sagar city, Madhya Pradesh
This paper presents the results of forty groundwater samples collected from June 2007 to July 2010 in Gambhira and Baheria villages in Madhya Pradesh. The authors conclude that the ground water quality is degraded due to anthropogenic causes.
Status report on Sagar lake - A research report by National Institute of Hydrology
Posted on 01 Jul, 2010 11:04 AMThe report attempts to compile all the published works on the Sagar lake in one place. This includes brief description of the historical and the geographical background of the lake, details of water quality analysis carried out in various years, present position of the lake and various schemes proposed and implemented for the improvement of the condition of the lake.
Estimation of runoff from Bewas basin using SCS Curve Number method - A research report by National Institute of Hydrology
Posted on 29 Jun, 2010 10:10 AMIn the study, Soil Conservation Services Curve Number (SCS-CN) method is used to predict runoff volume from the Bewas basin at a dam site meant to augment municipal drinking water supply to Sagar city. The SCS-CN model involves relationship between land use, land cover, hydrologic soil class, and runoff Curve Number of hydrologic soil cover complex, which in turn is a function of soil type, land cover and antecedent moisture condition.
Statistical analysis of rainfall in Sagar division - A research report by the National Institute of Hydrology
Posted on 22 Jun, 2010 08:05 AMThe study seeks to understand the problem of rainfall, particularly for identification of any trend or persistence in the rainfall series in the five districts of Sagar division of Madhya Pradesh. A statistical analysis of the rainfall pattern is conducted using World Meteorological Organization (WMO) recommended statistical techniques for climatological analysis. Besides studying the statistical parameters and cross correlation, other techniques like linear regression and polynomial regression have been applied to identify the presence of any trend.