THE STUDY OF LONGITUDINAL AND LATITUDINAL VARIATION OF EQUATORIAL ELECTROJET SIGNATURE AT STATIONS WITHIN THE 96°MM AND 210°MM AFRICAN AND ASIAN SECTORS RESPECTIVELY UNDER QUIET CONDITIONS.
DOI:
https://doi.org/10.33003/fjs-2021-0502-662Keywords:
Equatorial Electrojet, Counter Electrojet, IonosphereAbstract
Solar quiet current (S_q) and Equatorial Electrojet (EEJ) are two current systems which are produced by electric current in the ionosphere. The enhancement of the horizontal magnetic field is the EEJ. This research is needed for monitoring equatorial geomagnetic current which causes atmospheric instabilities and affects high frequency and satellite communication. This study presents the longitudinal and latitudinal variation of equatorial electrojet signature at stations within the 96°mm and 210°mm African and Asian sectors respectively during quiet condition. Data from eleven observatories were used for this study. The objectives was to determine the longitudinal and latitudinal geomagnetic field variations during solar quiet conditions, Investigate monthly variation and diurnal transient seasonal variation; Measure the strength of the EEJ at stations within the same longitudinal sectors and find out the factors responsible for the longitudinal and latitudinal variation of EEJ. Horizontal (H) component of geomagnetic field for the year 2008 from Magnetic Data Acquisition System (MAGDAS) network were used for the study. The International Quiet Days (IQDs) were used to identify quiet days. Daily baseline values for each of the geomagnetic element H were obtained. The monthly average of the diurnal variation was found. The seasonal variation of dH was found. Results showed that: The longitudinal and latitudinal variation in the dH differs in magnitude from one station to another within the same longitude due to the difference in the influence of the EEJ on them.
References
Bobbit A., Steven P., Moonjung C., James A., and Lewrence R., (2007). Application of Bootstrap method in the International Price Program.
Bello A. O. and Oguntolu F. A. (2005) Application of Bootstrap Re-Sampling Method to a Categorical Data of HIV/AIDS Spread across Different Social-Economic Classes. International Journal of Statistics and Applications 2015, 5(4): 157-168 DOI: 10.5923/j.statistics.20150504.04
Center for Disease Control and Prevention (CDC), (2015 December) HIV Transmission. www.avert.org/learn-share/hiv-fact-sheets/hiv-transmission
Chong H.Y. (2003). Resampling methods: concepts, applications, and justification. Practical Assessment, Research & Evaluation, 8(19). Available URL http://PAREonline.net/getvn.asp?v=8&n=19.
Demographic and Health Survey. SAHARA-J: Journal of Social Aspects of HIV/AIDS, 9:2,5463,DOI:10.1080/17290376.2012.683579.https://doi.org/10.1080/17290376.2012.683579
Efron, B. (1979). Bootstrap methods: Another look at the jackknife. The Annals of Statistics, 7, 1-26.
Efron, B. (1981). Nonparametric estimates of standard error: The jackknife, the bootstrap and other methods. Biometrika, 63, 589-599.
Efron, B. (1982). The jackknife, the bootstrap, and other resampling plans. Society of Industrial and Applied Mathematics CBMS-NSF Monographs, 38.
Efron B. & Gong G. (1983). A Leisurely Look at the Bootstrap, the Jacknife, and Cross validation. The American Statistician, Vol. 37, No.1 (Feb.,1983), 36-48http://www.sas.rochester.edu/psc/clarke/405/EfronGong.pdf
Efron, B, and Tibshirani, R. J. (1993). Monographs on, an introduction to the bootstrap. Statistics and Applied Probability, No. 57. Chapman and Hall, London. 436pp.
Felicia U. I. and Ayodele J.A. (2014), Sociocultural and economic factors influencing the use of HIV/AIDS information by Women in Ugep, Cross River State, Nigeria. Library Philosophy and Practice (e-journal). 114
HIV Integrated Biological and Behavioral Surveillance Survey, (IBBSS) 2010. (NACA/FMOH).
John H. (2013). The Jacknife and Bootstrap.URL: http://www.biostat.umn.edu/~johnh/pubh8422/notes/Jackknife_and_Bootstrap.pdf
Joshua K. (2012), Risk factors associated with HIV infection among young persons aged 15–24 years: Evidence from an in-depth analysis of the 2005–06 Zimbabwe. Journal of Social Aspects of HIV/AIDS, 9:2, 54-63, DOI: 10.1080/17290376.2012.683579
Kalala N. (2005), The Socio-Economic Factors that fuel Sexually Transmitted Diseases (STDS) and which could result in the Transmission of the Human Immunodeficiency Virus (HIV) in Rustenburg.Stellenbosch University https://scholar.sun.ac.za
Krus, D. J. & Fuller, E. A. (1982). Computer-assisted multicross-validation in regression analysis. Educational and Psychological Measurement, 42, 187-193.
Manon L. and Andrew J. (2016). A Direct Comparison of Two Densely Sampled HIV Epidemics: The UK and Switzerland. 1 Scientific RepoRts | 6:32251 | DOI: 10.1038/srep32251 (www.nature.com/scientificreports)
National HIV/AIDS and Reproductive Health Survey (NARHS Plus II 2012)
Progress report on the Global Plan: towards the elimination of HIV infection among children by 2015 and keeping their mothers alive, USAID, 2014).
National HIV Sero-Prevelance sentinel Survey among pregnant women attending antenatal clinics in Nigeria, (FMOH, 2014).
Nigeria HIV/AIDS Indicator and Impact Survey (NAIIS) 2018.
Roposo L.M., Arruda M.B., Brindeiro R.M, Nobre F.F.; Logistic Regression Model for Predicting Resistance to HIV Protease Inhibitor Nelfinerir, XIII Mediterranean Conference on medical and Biological Engineering and Computing 2013,IFMBE proceedings volume 41, 2014,pp 1237-1240. Springer, http://link.spriger.com/chapter/10.1007%2F978-3319-2_306#
Sawyer S. (2005). Re-sampling data: using a Statistical Jacknife. http://www.math.wustl.edu/~sawyer/handouts/Jackknife.pdf
Scholz F.W. (2007) University of Washington, The Bootstrap small sample properties.http://faculty.washington.edu.fscholz/Reports/bootstrap-report.pdf
Scott A. Czepiel, Maximum Likelihood Estimation of Logistic Regression Models: Theory and Implementation, http://czep.net/contact.html.
Walsh B. (2000) Resampling Methods: Randomization Tests, Jackknife and Bootstrap Estimators.http://nitro.biosci.arizona.edu/courses/EEB581-2006/handouts/random.pdf
Wu C. F (Dec.1986). Jackknife, Bootstrap and Other Resampling Methods in Regression Analysis Source: The Annals of Statistics, Vol. 14, No. 4 (Dec., 1986), pp. 1261-1295 URL: http://www.jstor.org/stable/2241454
Published
How to Cite
Issue
Section
FUDMA Journal of Sciences