Spatio-temporal Analysis of Dry and Wet Spells in the Middle Belt of Nigeria

Author:

Tarza Tyubee Bernard,Terver Iwan Michael

Abstract

The spatial patterns and trends of various categories of dry and wet spells were analysed from 1981 to 2010 in the Middle Belt of Nigeria. Daily rainfall (mm) data were obtained from eight synoptic weather stations spread across the region. The spatial variation and temporal trend of spells were analysed using the coefficient of variation (CV) and Pearson’s correlation coefficient (r). The result reveals that spatially, dry spells varied from 12.8 to 110.1%, while wet spells varied from 11.7 to 192.5%. The longest dry spell length by station ranged from 14 days (Jos) to 37 days (Yola), while the longest wet spell ranged from 7 days (Bida, Ibi and Makurdi) to 11 days (Ilorin and Jos). Both dry and wet spells exhibited positive and negative trends. Significant trends of dry spells include negative trends of categories 2–4 days (Ibi), 8–10 days (Yola), 11 days+ (Ilorin and Yola); and positive trends of categories 2–4 days (Lokoja) and 8–10 days (Ilorin). For wet spells, only positive trends were significant. The study concludes that the south western (northern) part of the region recorded the highest (least) annual frequency of dry spells and least (highest) annual frequency of wet spells, respectively.

Publisher

IntechOpen

Reference42 articles.

1. Osei A, Quansah. Characterization of dry and wet spells and associated atmospheric dynamics at the Pra river catchment of Ghana, West Africa. Journal of Hydrology Regional Studies. 2022;:1-29

2. Ajayi AE, Olufayo AA. The sequence of wet and dry days at Ibadan and Onne (sub-humid zone of Nigeria). Nigerian Journal of Technology. 2002;(1):38-44

3. Deka S, Borah M, Kakaty SC. Statistical modelling of wet and dry spell frequencies over North-East India. Journal of Applied and Natural Science: 2010. 2010;(1):42-47

4. Sukla MK, Mangaraj AK, Sahoo LN, Sethy KM. A comparative study of three models for the distribution of wet and dry spells in the Mahanadi Delta. New York Science Journal. 2012;(11):54-61. Available from:

5. Mirmousavi SH. Examining the probable length in days of wet and dry spells in Khuzestan province. Quarterly Journal of the Hungarian Meteorological Service. 2015;(4):475-491

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3