3 research outputs found

    Assessment of the Social and Physical Characteristics of Obiagu Shanty Area in Enugu Metropolitan City, Nigeria

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    The persistent rise of the urban population and high housing rent has driven many to shanty towns. However, due to the increased population of the shanty towns, the social and physical characteristics of the towns have deteriorated. The study assessed the social and physical characteristics of Obiagu Shanty Area in Enugu Metropolitan City, Nigeria, with the purpose of establishing the extent of the rehabilitation and its impacts in the lives of the residents, as well as provides a better alternative. The data was obtained using a questionnaire survey. The statistical techniques employed to analyse the data are descriptive statistics (such as simple percentages, standard deviation and mean). The study, in general terms identified that the level of physical and social characteristics of Obiagu Shanty Area is highly negative. The study also reveals poor infrastructural amenities in the area. It demonstrates that the government is failing to fulfill its responsibilities in terms of urban development and infrastructure renewal. Furthermore, the study shows that private individuals and communities do not actively participate in urban regeneration and infrastructural renewal efforts in Obiagu Shanty Area. Therefore, the study recommends some retrofitting measures, such as the construction of modern houses with modern facilities and good sewage systems, the government partnering with private organisations/individuals or the community to assist in the remodeling of structures in the area, and constant sensitisation of residents by the government and NGOs on the negative health consequences of living in a dirty environment, among other things. Keywords: Shanty Area, Social Characteristics, Physical Characteristics, Metropolitan City, Retrofitting Measures, Urban Regeneration DOI: 10.7176/JEES/12-9-05 Publication date:September 30th 202

    Assessment of the Impacts of Thunderstorm on Flight Operations at Murtala Mohammed International Airport, Ikeja, Lagos State, Nigeria

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    The inefficiency of the aviation industry and the persistent rise in aviation hazards have been linked to weather phenomena. As a result, researchers are looking for better solutions to the problem. The study examined the impact of thunderstorms on flight operations at Murtala Mohammed International Airport, Lagos. The data on thunderstorms and flight operations were sourced from Nigerian Meteorological Agency (NiMet) and Nigerian Airspace Management Agency (NAMA) respectively. In order to meet the research target, descriptive statistics (mean, standard deviation, and charts) and inferential statistics (Pearson’s Product Moment Correlation (PPMC) and Regression) were used. The significance level for all inferential analyses was set at 5% (0.05). The study revealed that 77.4% of thunderstorms occurred during the rainy season (April-October) while 22.6% occurred during the dry season (November-March). It also revealed some fluctuating movements of a thunderstorm in the study area. According to the findings, thunderstorms occur most frequently at the airport in June and less frequently in January and December. The study also discovered that thunderstorms at the airport are positively and significantly related to flight delays and cancellations, while the association between flight diversions and thunderstorm occurrence is positive but statistically insignificant. Furthermore, flight delays, flight diversions, and flight cancellations interact positively among themselves. The regression result of the study revealed that a 1% increase in thunderstorm occurrence leads to a 19.4% increase in flight delay, a 7.1% increase in flight cancellation, and a 4.3% increase in flight diversion. As a result, the study presented various regression models that may be utilized to make predictions. The study proposes consistent thunderstorm observation at the airport and steady forecasts using the regression models, based on the findings. However, it further recommends that pilots, air traffic controllers, and meteorologists be trained and retrained so that they can provide better and more efficient services

    Comparative Analysis of the Measured and Extrapolated Wind Shear Distributions at Murtala Mohammed and Port Harcourt International Airports, Nigeria

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    The persistent gory incidents, accidents, loss of huge amount of money and outcry by the aviation industry for accurate weather observation and forecast have been of utmost worry to so many researchers. In a bid to curbing these aviation weather challenges, researchers have discovered that wind shear impacts greatly on flight operations in the airports, and are working towards ameliorating the effects. This study analyzed the distribution of measured and extrapolated wind shear at Murtala Mohammed and Port Harcourt International Airports, Nigeria. The annual time series secondary data used for this study were sourced from Nigerian Airspace Management Agency (NAMA) at Murtala Mohammed and Port Harcourt International Airports and Nigerian Meteorological Agency (NIMET). Power Law Model was used to extrapolate wind shear at 20m above ground level to 50m and 100m above ground level for the both airports. The data were compiled and presented in tables and charts for easy understanding and further analysis. The statistical techniques employed in achieving the research target were descriptive statistics (such as mean, standard deviations, coefficient of variation and charts). The study shows that wind shear increases with altitude at the study areas due to decrease in frictional resistance which is more pronounced close to the ground. A similarity in the distribution pattern of wind shear at 20m, 50m and 100m above ground level at Murtala Mohammed International Airport was revealed by the study. The same similarity in the distribution pattern was also revealed at Port Harcourt International Airport. Evidently, the study reveals some temporal variations in the mean and standard deviation of wind shear in the study areas. The study also reveals based on the effects of wind shear and its resultant flight delays, diversions and cancellations that Port Harcourt International Airport with overall higher coefficient of variation (CV) is considered safer for flight landing. The study therefore, based on its findings, recommends subsequent training and retraining of Meteorologists, Pilots and Air Traffic Controllers on wind shear and related weather issues. The work also recommends that more studies should be carried out by the students and researchers on wind shear. Keywords: Wind Shear, Comparative Analysis, Measured, Extrapolated, Distributions DOI: 10.7176/JEES/11-5-06 Publication date:May 31st 202
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