COMPUTATION OF KARL PEARSON'S COEFFICIENT OF SKEWNESS AND BOWLEY'S COEFFICIENT OF SKEWNESS BETWEEN RAINFALLAND GROUND WATER LEVELS - A CASE STUDY

2021 ◽  
pp. 13-14
Author(s):  
Raju Sake
Keyword(s):  
Ground Water ◽  
Water Levels ◽  
Coefficient Of Skewness

Present paper deals with the Computation of Karl Pearson's Coefcient of Skewness (SK ) and Bowley's Coefcient of Skewness (SK ) to analyze P B Rainfall (RF) and Ground Water Levels (GWLs) in Anantapuramu district based on the data collected from January 2007 to December 2016. For the purpose of analysis the district is divided into ve Zones or Revenue Divisions (RD) namely, 1. Anantapuramu RD 2. Penukonda RD 3. Kadiri RD 4. Kalyandurg RD 5. Dharmavaram RD. I have calculated for the Karl Pearson's Coefcient of Skewness (SK ) and Bowley's Coefcient of P Skewness (SK ) between Rainfall and Ground Water Levels and compared among them by using the data.

High Water Levels in Ground-Water Dominant Lakes - A Case Study from Northwestern Wisconsin

Ground Water ◽  
1980 ◽  
Vol 18 (4) ◽  
pp. 334-339 ◽  
Author(s):  
M. B. Rinaldo-Lee ◽  
M. P. Anderson
Keyword(s):  
Ground Water ◽  
High Water ◽  
Water Levels

scholarly journals FITTING OF NEGATIVE BINOMIAL DISTRIBUTION BY USING RECURRENCE RELATION METHOD BETWEEN RAINFALL AND GROUND WATER LEVELS – A CASE STUDY

2021 ◽  
pp. 3-5
Author(s):  
Raju Sake
Keyword(s):  
Ground Water ◽  
Recurrence Relation ◽  
Negative Binomial Distribution ◽  
Binomial Distribution ◽  
Negative Binomial ◽  
Distribution Theory ◽  
Sum Of Squares ◽  
Water Levels ◽  
Critical Difference

Present paper deals with the application of Distribution Theory to analyze and predict Rainfall (RF) and Ground Water Levels (GWLs) in Anantapuramu district based on the data collected from January 2007 to December 2016. Through with Negative Binomial Distribution by using Recurrence Relation Method for the purpose of analysis the district is divided into five zones. We have estimated the Negative Binomial Distribution by using Recurrence Relation values and compared among them by using the data. Further, validation of the fitted distribution identified the best suitable zone that is Residual Sum of Squares (RSS) value of the zone and forecast on the Rainfall and Ground Water Levels of this district. We also calculate Critical Difference (C.D) test and conclusions are drawn based on the results obtained.

IMPACT OF INDUSTRIAL EFFLUENTS ON GROUND WATER QUALITY- A CASE STUDY OF GUJRANWALA, PAKISTAN

2018 ◽  
Vol 2 (1) ◽  
pp. 18-20 ◽  
Author(s):  
Muhammad Usman ◽  
Mian Bilal Khalid ◽  
Hafsa Yasin ◽  
Abdul Nasir, ◽  
Ch Arslan
Keyword(s):  
Water Quality ◽  
Ground Water ◽  
Industrial Effluents ◽  
Ground Water Quality

Ground-Water Levels in the Kabul Basin, Afghanistan, 2004-2007

2007 ◽  
Author(s):  
M. Amin Akbari ◽  
Mohammad Tahir ◽  
David W. Litke ◽  
Michael P. Chornack
Keyword(s):  
Ground Water ◽  
Water Levels
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