This study surveyed the atmospheric stability pattern in the lower troposphere over Enugu from 2010-2015. The widely and acceptably used Pasquill-Gifford stability scheme was utilized in evaluating the stability categories. Six-hourly synoptic data parameters for temperature, wind speed and cloud cover acquired from the Era-Interim platform at 1000 mbar pressure level were used in the analysis. The data were obtained at 0.125 degree resolution. Results showed that very stable stability classes D (neutral), E (stable), and F (very stable) conditions occurred during the night and early hours of dawn. Also, while class D dominated during the wet season, classes E and F portrayed a reverse trend during the dry season. During the Day, stability classes A (very unstable), B (moderately unstable) and C (slightly unstable) prevailed, however, (class C) prevailed throughout the year. While stability class A was dominant from December to January, with its least influence during the peak of the wet season at noontime, stability classes B and C prevailed during the wet
This study examined sensations of air temperature variability and mitigation strategies in the Niger Delta, Nigeria using the cross-sectional and descriptive research designs. This study purposively selected the Capital Cities of the nine states in the study area; while the simple random sampling technique was used to select the study elements. Taro Yamane (1967) formula was employed in determining the study sample size of 400 which was apportioned to each of the cities based on proportional allocation with respected to the population of the cities, hence forming the basis for the distribution of the survey questionnaire. The results show that majority were aware of the impacts of temperature and rated the temperature in the neighborhood as high, but not aware of the comfort threshold of air temperature. Majority had never taken personal steps to mitigate high temperature and at the same time not satisfied with the level of temperature in their urban environment. Urban growth and rise in population, construction materials of urban surfaces, removal of trees/vegetation, manmade heat, air pollutants emission, congestion of buildings and time of season were found to stimulate high temperatures in the cities. Human discomfort, excessive heat, illness and diseases, soil aridity/lack of water in soil, poor air quality, increase in diseases vectors, increase in energy demand and usage, and dehydration of the body and regular thirst for water were found to be impacts and problems associated with high temperature. The prevailing strategies adopted to mitigate impacts of high temperature were only the use of electric fans (63.50%) and drinking of plenty water (92.50%). Therefore, the study recommends among others that planting and preservation of trees should be encouraged, mass awareness campaign on practices that exacerbate high temperature should be sponsored by the authorities, and regulatory agencies should strictly control urban growth and be committed to the enforcement of environmental policies. Doi: 10.28991/HEF-2021-02-02-02 Full Text: PDF
The perception of changes in climate in any environment by farmers significantly influences their ability to adjust and cope with challenges that might emerge from such changes. Climate change can have direct impact on swamp rice cultivation because swamp rice cultivation in Ebonyi State is rain-fed. This impact is particularly significant as swamp rice farming constitutes a major source of income and employment in the area. The study thus examined the perceived impact of climate change on swamp rice cultivation by farmers in Ebonyi State, Southeastern Nigeria and compare with meteorological data. Data used for the study were obtained through the administration of 505 copies of structured questionnaire to swamp rice farmers in the three agricultural zones of the State. Also, data on rainfall and temperature were sourced from the archive of Nigerian Meteorological Agency, Oshodi, Lagos covering a period of 31 years. Primary data obtained were analysed using descriptive statistics. Results showed that 82.6% of the respondents were aware of climate change;
The thrust of this paper is to examine the impact of drought risk on vegetation health in North Central Nigeria. The study applied remote sensing, Geographic information system (GIS) and statistical techniques as research methodologies. Monthly rainfall data which span through a period of 56 years (1960-2017) were obtained from Nigeria Meteorological Agency (NIMET) for analysis of variation and drought characterization using SPI. Consequently, drought risk maps were produced for three different periods:
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