Forthcoming articles

International Journal of Environment and Health

International Journal of Environment and Health (IJEnvH)

These articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Environment and Health (1 paper in press)

Regular Issues

  • Distribution Analysis and Autoregressive Modelling of Ultraviolet Radiation over Akure, Nigeria
    by Ayodeji Ashidi, Samuel Ogunjo 
    Abstract: Management of health risks associated with excessive exposure to ultraviolet radiation involves understanding its characteristics within any location. This work employed five-year archived data of UV index for analysis and autoregressive modelling of ultraviolet radiation over Akure (7.15oN, 5.12oE), Nigeria. In-situ measurements of UV index were made every day between January 2007 and December 2011 at 30 minutes interval using Davis 6162 vantage Pro2 weather station. Prevalence of high intensity UV index, which indicates human susceptibility to UV-related health risks was investigated. The statistical model that best describes UV distribution and its autoregressive characteristics were also determined for the location. Annual UV index was found to fit a Nakagami distribution and well modelled by a 3rd order polynomial equation to at least 95% accuracy. Non-linear autoregressive (NAR) artificial neural network analysis also returned regression coefficient values of 0.95, 0.94 and 0.94 for each of training, validation and test parameters respectively.
    Keywords: Health risk; sun exposure; auto regressive; UV index; Neural network

 

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