Open AccessEstablishing the Rainfall Trend over Bungoma Region in Kenya, During the Short and Long Rain Seasons
Author(s) -
Davis Mwenda Marangu,
Samson W. Wanyonyi
Publication year - 2018
Publication title -
asian journal of probability and statistics
Language(s) - English
Resource type - Journals
ISSN - 2582-0230
DOI - 10.9734/ajpas/2018/v1i424554
Subject(s) - environmental science , climatology , trend analysis , geography , microsoft excel , meteorology , statistics , mathematics , geology , computer science , operating system
This paper is aimed at presenting the temporal and spatial variability of rainfall over Bungoma region between 2000 and 2015. Rainfall data was obtained for 5 stations in the region. The data was subjected to analyses by use of Microsoft Excel and SPSS. The results from analysis of the data showed that the March, April, and May (MAM) and October, November, and December (OND) rainfall totals showed a general increasing trend in all the stations. The MAM season was found to have the most reliable rainfall in all stations while the OND season was reliable in some of the stations in the study region. Kanduyi region is seen to receive the highest amount of rainfall all through the years, and Tongaren the Least amount of Rainfall. The significance of these findings is that it could be used by various policymakers and development partners for planning purposes.