Several statistical techniques have been adopted in the analysis and interpretation of radiometric survey data set with little attention to the geostatistical approach. In this study, the geostatistical technique was used to analyse an airborne uranium data set in the North-western part of Ogun state to deduce the autocorrelation level of uranium with the corresponding geological composition through the geostatistical model fitting. Twelve uranium lithological (UL) units were identified and analysed using variogram and kriging. Three variogram models namely; spherical, exponential and gaussian, were utilised. The variogram results showed that the three models fit in the interpretation of uranium data in the order of Spherical < Gaussian < Exponential models for all the UL units except at UL6 which had range (R) values of 4227.3 m, 5318.2 m and 5636.4 m for Gaussian, Spherical and Exponential models, respectively. The Nugget-Sill ratios (NSR) were in the range of 3.57-18.97% for the three models across the 12 UL units. These results indicate strong spatial autocorrelation/dependency of uranium concentration on geological composition. The ordinary kriging estimator revealed that the weathered basement formation has the highest uranium concentration compared to basement and sedimentary formations across the study area. The coefficient of variation results also revealed homogeneity in the uranium source across the UL units. The geostatistics technique is a useful mathematical tool in the analysis and interpretation of uranium concentration in the North-western part of Ogun State.
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http://dx.doi.org/10.1016/j.jenvrad.2021.106706 | DOI Listing |
Lett Appl Microbiol
January 2023
Department of Microbiology, Babcock University, Ilishan Remo, Ogun State 121103 , Nigeria.
The present study aimed to reveal the microbial (bacteria and yeast) composition of raw milk from dairy camel (n = 10), cow (n = 10) and goat (n = 10) in North-western Nigeria. High-throughput DNA metabarcoding was used to compare microbial compositions in raw milk among the three species. Although the three species had similar dominant bacterial (Firmicutes and Proteobacteria) and yeast (Ascomycota and Basidiomycota) phyla, their microbial compositions at the genus level were noticeably different.
View Article and Find Full Text PDFJ Environ Radioact
October 2021
Federal Character Commission, Abuja, Nigeria.
Several statistical techniques have been adopted in the analysis and interpretation of radiometric survey data set with little attention to the geostatistical approach. In this study, the geostatistical technique was used to analyse an airborne uranium data set in the North-western part of Ogun state to deduce the autocorrelation level of uranium with the corresponding geological composition through the geostatistical model fitting. Twelve uranium lithological (UL) units were identified and analysed using variogram and kriging.
View Article and Find Full Text PDFInt J Environ Res Public Health
November 2017
Institute of Health and Welfare Policy, College of Medicine, National Yang-Ming University, No. 155, Sec. 2, Li-Nong St., Taipei 112, Taiwan.
The exposure-disease-stress model places young children in their physical and social contexts and considers the extent and intensity of associational links to symptoms of acute respiratory infection (ARI), taking in to account a range of biological, social, and environment components. This study uses the 2013 Nigeria Demographic and Health Survey to assess the individual and environmental risks present in the North-Western and South-Southern Nigerian communities and examines their associations with ARI symptoms. The descriptive findings show that the prevalence of ARI symptoms is significantly higher among preschool children in the North-Western province (5.
View Article and Find Full Text PDFBMC Infect Dis
May 2008
Department of Biological Sciences, University of Agriculture, 110001, Abeokuta, Nigeria.
Background: The control of urinary schistosomiasis in Ogun State, Nigeria remains inert due to lack of reliable data on the geographical distribution of the disease and the population at risk. To help in developing a control programme, delineating areas of risk, geographical information system and remotely sensed environmental images were used to developed predictive risk maps of the probability of occurrence of the disease and quantify the risk for infection in Ogun State, Nigeria.
Methods: Infection data used were derived from carefully validated morbidity questionnaires among primary school children in 2001-2002, in which school children were asked among other questions if they have experienced "blood in urine" or urinary schistosomiasis.
Jpn J Infect Dis
June 2001
Department of Biological Sciences, Ogun State University, Ago-Iwoye, Nigeria.
The prevalence and intensity of Loa loa and Mansonella perstans were studied in three villages of the Ijebu north area in Ogun State, western Nigeria. Blood samples were collected by finger-pricking from 373 (181 males, 192 females) subjects with an age range of 4 to 55 years. The blood samples were examined microscopically for the presence of microfilariae (mf).
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