A Study on Factors Related to Southwest Monsoon Rainfall: A Microscopic Approach.

K. S. Bhanu¹ , A. R. Pali² , D. P. Tadke³

Section:Research Paper, Product Type: Isroset-Journal
Vol.6 , Issue.1 , pp.94-104, Feb-2019

CrossRef-DOI:   https://doi.org/10.26438/ijsrmss/v6i1.94104

Online published on Feb 28, 2019

Copyright © K. S. Bhanu, A. R. Pali, D. P. Tadke . 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.
 

View this paper at   Google Scholar | DPI Digital Library

XML View     PDF Download

How to Cite this Paper

432 Views    220 Downloads    95 Downloads

Abstract :
Southwest monsoon rainfall has an undeviating effect on Indian economy. Different climatic conditions across India affect the monsoon at different places in different ways. Hence, it becomes important to study the factors related to the monsoon rainfall at a microscopic level. Our study concentrates on Nagpur, the geographical centre of India. In this paper we have found that the onset date of southwest monsoon in Nagpur city is not uniformly distributed over the month of June by using Chi-square goodness of fit test. An interesting result about the interconnectivity between arrival of heat wave and southwest monsoon is obtained using Chi-square test of independence. The relation between evapotranspiration and ground water level is also explored. It is found that the type of vegetation at a place majorly affects its ground water level. Multiple Linear Regression is also used to find the factors significantly affecting the amount of precipitation in the region and established a model for future rainfall prediction.

Key-Words / Index Term :
Southwest monsoon, Chi-square goodness of fit test, Chi-square test of independence, Ground water level, Evapotranspiration, Multiple Linear Regression, Precipitation

References :
[1]. P. Goswami, K. C. Gouda, “Objective Determination of the Date of Onset of Monsoon Rainfall over India based on Duration of Persistence”, CSIR Centre for Mathematical Modelling and Computer Simulation, Research Report RR CM 0711, June 2007.
[2]. D. S. Pai, M. Rajeevan, “Indian Summer Monsoon Onset: Variability and Prediction”, National Climate Centre, Research Report No: 4/2007, October 20017.
[3]. P. Guhathakurta, Elizabeth Saji,” Trends and variability of monthly, seasonal and annual rainfall for the districts of Maharashtra and spatial analysis of seasonality index in identifying the changes in rainfall regime”, National Climate Centre, Research Report No: 1/2012, May 2012.
[4]. Tam Tze Huey, Ab Latif Ibrahim,”Statistical Analysis of Annual Rainfall Patterns in Peninsular Malaysia Using TRMM Algorithm”, In the Proceedings of the 33rd Asian Conference on Remote Sensing 2012, ACRS 2012.
[5]. D. T. Deshmukh, H. S. Lunge, “Impact of Global Warming on Rainfall,And Cotton Lint with Vulnerability Profiles of Five Districts In Vidarbha, India”, International Journal of Scientific & Technology Research, Vol. 1, Issue-11, pp. 77-85, 2012.
[6]. Abdul Haleem A. Al-Muhyi, Abather J. Bashar, Aymen Abdullateef Kwyes, “The Study of Climate Change Using Statistical Analysis Case Study Temperature Variation in Basra”, International Journal of Academic Research, Vol.3, Issue-2(5), pp. 10-23, 2016.
[7]. R. Sukanya and K. Prabha, “Comparative Analysis for Prediction of Rainfall using Data Mining Techniques with Artificial Neural Network”,International Journal of Computer Sciences and Engineering, Vol. 5, Issue-6, pp. 288-292, 2017.
[8]. T. Tammets ,“Estimation of extreme wet and dry days through moving totals in precipitation time series and some possibilities for their consideration in agrometeorological studies”, Agronomy Research, Vol. 8, Issue-2,pp. 433–438, 2010.