Skip to content
Research Article Open access CC BY 4.0

Measurement and Prediction of Workplace Exposure to Solar Ultraviolet Radiation in Makurdi, Benue State, Nigeria

Samson Dauda Yusuf, Christopher Chiahemba Akoso, Timothy Chidozie Akpa, Lucas Williams Lumbi

Asian Journal of Advanced Research and Reports · pp. 13–24 · Published 6 Oct 2022

10.9734/ajarr/2022/v16i11435

Abstract

Aims: To measure and predict the workplace exposure to solar ultraviolet radiation in Makurdi, Benue State, Nigeria. Study Design: Experimental design through area monitoring method and Newton divided interpolation difference method. Place and Duration of Study: Makurdi Metropolis, Benue State and Department of Physics, Nasarawa State University Keffi, Nigeria, between April and June 2021. Methodology: Digital broad band meter was used to measure UV irradiance at SRS junction (Traffic light) and Kanshio (construction site) at hourly intervals from 10:00am- 4:00pm. The exposure results were used to derive a predicting function using the Newton Divided Difference Interpolation method and were plotted into MATLAB to generate the predicted results. Also, the UV index was also calculated. Results: The mean irradiant values were 179.100J/m2 and 173.53J/m2 with erythema effective irradiances 227.300J/m2 and 205.000J/m2 which is 1.14 and 1.03 minimum erythema doses (MED)/hr, while the predicted mean values were 179.100±0.025J/m2 and 172.800±0.004J/m2 for the traffic wardens and construction site workers respectively. The mean values were higher than the ICNIRP recommended safety limit of 30.000J/m2 for occupational exposure and MED for skin type I was exceeded by a factor of 1. The calculated UV index was 8 for construction site and 9 for traffic light wardens. Conclusion: High level of accuracy of the prediction model implies that it can be used for prediction of SUV radiation. However, high mean irradiant values with high UV index indicates high risk of harm from unprotected sun exposure. Therefore, use of sun protective clothing is recommended and reduce time in the sun especially between 1:00pm and 2:00pm to prevent over exposure that will lead to serious harmful effects.

Irradiance UV radiation occupation exposure minimum erythema doses prediction function Newton divided interpolation

References (15)

  1. 1 Distribution pattern and health risk assessment of polycyclic aromatic hydrocarbons in the water and sediment of Algoa Bay, South Africa [DOI]
  2. 2 Protecting workers from ultraviolet radiation
  3. 3 The measurement and penetration of ultraviolet radiation into tropical marine water [DOI]
  4. 4 Ground based ultraviolet (290–385 nm) and broadband solar radiation measurements in south-eastern Spain [DOI]
  5. 5 Evaluation of differences in ultraviolet exposure during weekend and weekday activities [DOI]
  6. 6 Determination of daily solar ultraviolet radiation using statistical models and artificial neural networks [DOI]
  7. 7 Exposure of Arctic Field Scientists to Ultraviolet Radiation Evaluated Using Personal Dosimeters [DOI]
  8. 8 The Ultraviolet Index: A Useful Tool. [DOI]
  9. 9 Solar Radiation and the UV index: An application of Numerical Integration, Trigonometric functions, Online Education and the Modelling Process [DOI]
  10. 10 Anatomical distribution of solar ultraviolet exposures among cyclists [DOI]
  11. 11 Average Solar UV Radiation Dosimetry in Central Nigeria [DOI]
  12. 12 Measurement and Assessment of Occupational Exposure to Solar Ultraviolet Radiation in Makurdi Metropolis, Benue State, Central Nigeria [DOI]
  13. 13 International Journal of Environmental Monitoring and Analysis [DOI]
  14. 14 WEATHER VARIABILITY AND AGRICULTURE: IMPLICATIONS FOR LONG AND SHORT-TERM MIGRATION IN INDIA
  15. 15 Workers’ UV exposure and the subsequent impact on skin

Cited by 0

No indexed citations yet.

Article metrics

Real usage data collected on this platform.

68

Page views

0

PDF downloads

25

Outbound clicks

0

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.