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GEO-SPATIAL TREND MAPPING OF SOME ANNUAL CLIMATE VARIABLE FOR SOUTH WEST NIGERIA
The concept of climate has gained much relevance because of its dynamic and complex nature and the significant influence it has on various aspects of the environment including the increasing threat of global climate change. The varying pattern does not encourage the stable practice of agriculture, t...
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Published in: | Acta Technica Corvininesis 2019-01, Vol.12 (1), p.101-105 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
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Summary: | The concept of climate has gained much relevance because of its dynamic and complex nature and the significant influence it has on various aspects of the environment including the increasing threat of global climate change. The varying pattern does not encourage the stable practice of agriculture, thereby causing an increase or decrease in their yield. Data were collected from Nigeria Meteorological Agency (NIMET) for rainfall, temperature and relative humidity data for the period of 38 years and were analyzed in order to generate geo-spatial trend maps of climate variability to aid smart agricultural crop production. The mean temperature, average rainfall and average relative humidity for each year of the study period were calculated. Imagery shape file was also extracted from South West Nigeria maps. The weather data and Imagery shape file were then imported into Arc GIS 9.0 for geo-spatial maps for Rainfall, Temperature and Relative Humidity. The analysis showed prolonged variability in average annual rainfall received over the climatic zone across the three climatic factors. The results indicated a temperature higher than 27°C cause under-development of anthers and loss of viability of pollen. Higher temperature disturbs the photosynthesis and respiration and these may result in low production. Rainfall pattern reveals that rainfall in South West has been highly varied. Relative humidity pattern between the years tends to either increase or decrease in the result by (±3) with a relative stability in the last 5 years of this study period thereby aiding the easy prediction of the shelf life of agricultural products. |
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ISSN: | 2067-3809 |