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Probability Analysis of the Rainfall of Dharmavaram Mandal of Anantapuramu District-It’s Best Fit

B. Prathap Chowdary1 , K. Pusphanjali2 , M. C. Chandra Prasad3

Section:Research Paper, Product Type: Isroset-Journal
Vol.6 , Issue.2 , pp.228-232, Apr-2019


CrossRef-DOI:   https://doi.org/10.26438/ijsrmss/v6i2.228232


Online published on Apr 30, 2019


Copyright © B. Prathap Chowdary, K. Pusphanjali, M. C. Chandra Prasad . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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IEEE Style Citation: B. Prathap Chowdary, K. Pusphanjali, M. C. Chandra Prasad, “Probability Analysis of the Rainfall of Dharmavaram Mandal of Anantapuramu District-It’s Best Fit,” International Journal of Scientific Research in Mathematical and Statistical Sciences, Vol.6, Issue.2, pp.228-232, 2019.

MLA Style Citation: B. Prathap Chowdary, K. Pusphanjali, M. C. Chandra Prasad "Probability Analysis of the Rainfall of Dharmavaram Mandal of Anantapuramu District-It’s Best Fit." International Journal of Scientific Research in Mathematical and Statistical Sciences 6.2 (2019): 228-232.

APA Style Citation: B. Prathap Chowdary, K. Pusphanjali, M. C. Chandra Prasad, (2019). Probability Analysis of the Rainfall of Dharmavaram Mandal of Anantapuramu District-It’s Best Fit. International Journal of Scientific Research in Mathematical and Statistical Sciences, 6(2), 228-232.

BibTex Style Citation:
@article{Chowdary_2019,
author = {B. Prathap Chowdary, K. Pusphanjali, M. C. Chandra Prasad},
title = {Probability Analysis of the Rainfall of Dharmavaram Mandal of Anantapuramu District-It’s Best Fit},
journal = {International Journal of Scientific Research in Mathematical and Statistical Sciences},
issue_date = {4 2019},
volume = {6},
Issue = {2},
month = {4},
year = {2019},
issn = {2347-2693},
pages = {228-232},
url = {https://www.isroset.org/journal/IJSRMSS/full_paper_view.php?paper_id=1238},
doi = {https://doi.org/10.26438/ijcse/v6i2.228232}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i2.228232}
UR - https://www.isroset.org/journal/IJSRMSS/full_paper_view.php?paper_id=1238
TI - Probability Analysis of the Rainfall of Dharmavaram Mandal of Anantapuramu District-It’s Best Fit
T2 - International Journal of Scientific Research in Mathematical and Statistical Sciences
AU - B. Prathap Chowdary, K. Pusphanjali, M. C. Chandra Prasad
PY - 2019
DA - 2019/04/30
PB - IJCSE, Indore, INDIA
SP - 228-232
IS - 2
VL - 6
SN - 2347-2693
ER -

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Abstract :
This paper studies the probability analysis and estimation of Annual Maximum Monthly Rainfall (AMMR) for different return periods which is very useful for crop planning. We fit various distributions namely NORMAL, LOG NORMAL, LOG PEARSON and GUMBEL for the rainfall data of Dharmavaram Rain Gauge Station (RGS) in Anantapuramu district. Using goodness of fit we determine the best fit probability distribution for predicting the AMMR for different return periods. Based on the obtained numerical results, conclusions are drawn.

Key-Words / Index Term :
AMMR, Rainfall, Probability distribustions, Goodness of fit, RGS

References :
[1] Chow, V.T., 1964.handbook of applied hydrology.
[2] Bhakar S. R., Iqbal M., Devanda M., Chhajed N., Bansal A. K., Probability analysis of rainfall at Kota, Indian J. Agri. Res, 2008, 42, 201 -206.
[3] Subudhi R., Probability analysis for prediction of annual maximum daily rainfall of Chakapada block of Kandhamal district in Orissa, Indian J. Soil Conser, 2007, 35, 84-85.
[4] M. T. Amin*, M. Rizwan, A. A. Alazba, A best-fit probability distribution for the estimation of rainfall in northern regions of Pakistan, Open Life Sci. 2016; 11: 432–440.
[5] Kazi S. A., Khan M. L., Variability of rainfall and its bearing on agriculture in the arid and semi-arid zones of West Pakistan, Pak. Geographic Rev., 1951, 6 (1), 40-63.
[6] Manikandan M., Thiyagarajan G., Vijayakumar G., Probability analysis for estimating annual One day maximum rainfall in Tamil Nadu Agricultural University, Mad. Agri. J., 2011, 98 (1-3), 69-73.
[7] Upadhaya A., Singh S. R., Estimation of consecutive day’s maximum rainfall by various methods and their comparison, Indian J. Soil Conserv., 1998, 26, 193-201.
[8] Bhakar, S.R., Bansal, A.N, Chhajed, N. Purohit, R.C. 2006. Frequency analysis of consecutive day maximum rainfall at Banswara, Rajasthan India. ARPN J. Eng. Appl. Sci., 1: 64-67.
[9] Agarwal, M. C., V. S. Katiyar and Ram Babu (1988). Probability analysis of annual maximum daily rainfall of U. P., Himalaya. Indian Journal of Soil Conservation, 16(1): 35-42.
[10] Gupta, S. C. and V. K. Kapoor (2002). Fundamental of Mathematical Statistics, Sultan Chand and Sons, New Delhi.
[11] Murray R.S., Larry J. S., Theory and problems of statistics, 3rd Edition, Tata Mc Graw – Hill Publishing Company Limited, New Delhi, India, 2000, 314 – 316.
[12] Chowdhury J. U., Stedinger J. R., Goodness of fit tests for regional generalized extreme value flood distributions, Water Res., 1991, 27 (7), 1765 – 1777.

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