This document presents a study on the rainfall erosivity index for Nashik, India. The objectives are to determine the rainfall erosivity index for Nashik District and develop relationships between rainfall amounts and erosivity index. The methodology analyzes rain gauge data from 2008-2012 to calculate the kinetic energy and erosivity index of storms using 30-minute rainfall intensity. Monthly, seasonal, and annual rainfall data is analyzed to examine relationships with respective erosivity indices. References on previous studies of rainfall erosivity are also provided.

1. WELCOME

2. K.K WAGH COLLGE OF AGRICULTURAL
ENGG. & TECH,NASHIK
PROJECT TITLE : STUDY OF RAINFALL EROSIVITY INDEX FOR NASHIK
Under the Guidance of : Prof. S.S RAUT
Presented by :
 Mr. Yeole Sumit Bhagwat (EN. No-79/2012)
 Mr. Mahajan Hrishikesh Gopal (EN. No.-38/2011)

3. CONTENT
Introduction
Objectives
Reviews Of literature
Material and Methodology
References

4. INTRODUCTION

5. EROSION
• Definition
• Types Of Erosion
• Disadvantages
• One of the most important agricultural problem.
• It removes plant nutrients along with soil.
• In India 81 Mha of land out of total geological area of 326 Mha and
56.7 Mha of land out of net cultivated area of 135.8 Mha suffer
from soil erosion.
• Out of these 40 Mha are in advanced stage of deterioration and
need prompt attention.

6. USLE Equation,
Where,
A= Average annual soil loss (tons/ha)
R= Rainfall factor (erosivity index)
K= Soil erodibility factor
L= Length of slope factor
S= Steepness of slope factor
C= Crop management factor
P= Conservation practice factor
A= R.K.L.S.C.P

7. OBJECTIVES
• To find out rainfall erosivity index for Nashik District.
• To develop relationship between rainfall and erosivity index (R).

8. REVIEW OF LITERATURE
Sr.
No
.
Author Name Publishe
d On
Study
1. Roberto A. ,Michael C. ,
Fernando F.
2013 Estimated R Factor Using KE > 25
2. S.H.R. Sadeghi, M.Behzdafar 2010 25 years data at 4 rain-gauge stations were
collected & studied in Iran & using USLE,
R factor calculated
3. C. Wang, S.yin, M.A.Nearing. 2007 Studies accuracy of EI30 estimations based
on 5,10,15,30&60 minute time stations
4. Y. Xie, B.Liu, S.Yin 2006 The objective of this paper is to develop
the models that relate more commonly
available rainfall data resolutions such as
monthly, seasonally & annually to rainfall
erosivity.
5. Wischmeier, W.H. 1959 Developed USLE Equation.

9. MATERIAL AND
METHODOLOGY

10. MATERIAL
• The data of rain gauge charts of Nashik.
• The rainfall charts of Monthly, Seasonal & Annually
from 2008-2012.

12. METHODOLOGY
• Methods for finding rainfall factor(R) :
1. 30-Minute Maximum Rainfall Intensity
2. Kinetic Energy Of the Storm
• Rainfall erosivity index (R) :
Rainfall erosivity index is defined as the potential ability of
rainfall to cause erosion and is computed using the relation,
_____ (1.1)
Where,
R = Rainfall erosivity index in metric units
E = Kinetic energy of rainfall in metric units
I30 = Maximum rainfall intensity of storm segment of 30 minute duration
in cm/hr

13. • Kinetic energy of the storm :
The equation given by Wischmeir (1958) was used to compute the
kinetic energy (KE) of the storm.
KE = 210.3+89 log I _______(i)
E = ∑ KE _______(ii)

14. • Frequency analysis :
The available data can be used to predict the events in future by frequency analysis.
The monthly, seasonal and annual rainfall erosivity index will be analyze.
• Relationship between rainfall and rainfall index :
• In USLE, R is the most significant parameter.
• The relation between monthly, seasonal, and annual rainfall with respective
erosivity index (R) will be examined.

15. RAIN-GAUGE CHART ANALYSIS
Fig.1 Analysis Of Rain-gauge Chart.

16. Total Rainfall Depth =24 mm
Total Duration=24 hr
Rainfall intensity= 24/24 =1mm/hr
I=1mm/hr
Maximum intensity in 30 minutes interval=10mm
=6mm
=2mm
=4mm
K.E.>24hr

17. 2008 2009 2010 2011 2012
January 0 0 0 0 0
February 0 0 0.5 0 0
March 0 1.3 0.8 1.2 0
April 1 0.2 0 0 0
May 0 14.6 5.9 4.1 17.7
June 53.2 45.5 191 99.5 81.6
July 246.2 371.4 239.7 296.3 290.6
August 353.7 123.1 307.1 291.9 295.6
September 475.5 113.6 154.9 164.5 184.8
October 53.8 73.2 69.6 48.3 80.3
November 0.2 174.7 105.8 0 0
December 0.5 2.7 0 0 0
YEAR
MONTH

18. ANNUAL SEASON
(JUNE -SEP)
MONTH
(AUGUST)
1075.3 mm 892.7 mm 307.1 mm
All Rainfall Values For Year 2010

19. REFERENCES
• Roberto A. ,Michael C. , Fernando F.,"assesing Rainfall erosivity
indices through synthetic precipitation series & artificial neural
networks" Anais academy, Brazil (2013) 85(4):1523-1535(annals of
Brazilian academy of sciences)
• S.H.R. Sadeghi, M. Behzdafar,“ Temporal Variations of rainfall
erosivity factor in Iran ", Journal of watershed management (32)3:
1280-1288
• C. Wang, S.yin, M.A.Nearing.“estimation of rainfall erosivity using
5 to 60 minute fixed interval rainfall data from china" Southwest
Watershed Research Centre,USA,USDA-ARS, Catena 70(2007)
306-312

20. • Y. Xie, B.Liu, S.Yin, "rainfall erosivity estimation based on rainfall
data collected over a range of temporal resolutions", Journal of
Hydrology & Earth System Sciences (HESS) 12,4965-4996
• Soil & Water Conservation Engineering by R.SURESH
• www.wikipedia.com

21. Any Suggestion..??

22. THANK YOU