Statistical Analysis for Establishing the Relation of Decadal Rainfall Data and Variation in Ground Water Levels: A Case Study of PTW1 Watershed, Buldhana District of Maharashtra State

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.

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Fitting Of Gompertz Model Between Rainfall And Ground Water Levels – A Case Study

International Journal of Mathematics Trends and Technology ◽

10.14445/22315373/ijmtt-v65i7p514 ◽

2019 ◽

Vol 65 (7) ◽

pp. 85-93

Author(s):

Raju Sake ◽

Mohammed Akhtar

Keyword(s):

Ground Water ◽

Gompertz Model ◽

Water Levels

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

Ground Water ◽

10.1111/j.1745-6584.1980.tb03406.x ◽

1980 ◽

Vol 18 (4) ◽

pp. 334-339 ◽

Cited By ~ 9

Author(s):

M. B. Rinaldo-Lee ◽

M. P. Anderson

Keyword(s):

Ground Water ◽

High Water ◽

Water Levels

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Statistical Analysis of 30 Years Rainfall Data: A Case Study

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/80/1/012067 ◽

2017 ◽

Vol 80 ◽

pp. 012067 ◽

Cited By ~ 1

Author(s):

G Arvind ◽

P Ashok Kumar ◽

S Girish Karthi ◽

C R Suribabu

Keyword(s):

Statistical Analysis ◽

Rainfall Data

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Fitting of Normal Distribution by Using Areas Method between Rainfall and Ground Water Levels - A Case Study

Asian Journal of Applied Science and Technology ◽

10.38177/ajast.2021.5407 ◽

2021 ◽

Vol 05 (04) ◽

pp. 55-64

Author(s):

Raju Sake

Keyword(s):

Ground Water ◽

Normal Distribution ◽

Water Levels

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

10.36106/paripex/7606324 ◽

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.

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Statistical analysis of seasonal rainfall data in Chandigarh: A case study

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/889/1/012024 ◽

2021 ◽

Vol 889 (1) ◽

pp. 012024

Author(s):

Kaamun ◽

Sahil Arora

Keyword(s):

Statistical Analysis ◽

Goodness Of Fit ◽

Seasonal Forecast ◽

Rainfall Data ◽

Seasonal Rainfall ◽

Annual Rainfall ◽

Maximum Rainfall ◽

The Past

Abstract The following research focuses on Chandigarh’s annual rainfall of past 50 years i.e. from 1968 to 2017. Parameters like Kurtosis, Variance, Goodness of Fit, Mann-Kendall’s Test were performed along with total annual forecast as well as seasonal forecast was predicted. Seasonal rend was also studied so as to study in detail about the past, present, and future of rainfall in Chandigarh. This study was performed with the help of MS-Excel and ExcelStat. A rising trend was found in Chandigarh for total as well as seasonal rainfall with a maximum rainfall of 1510.9 mm in the year of 1996 and a minimum of 371.1 mm in year 1987, other than this Sen.’s slope was 6.431 whereas skewness was found to be 0.6018.

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