Isaac Scientific Publishing

Environmental Pollution and Protection

Acoustic Over-Exposure versus Human Health: A Case Study of Dangote Flour Mill, Calabar, Cross River State

Download PDF (489.7 KB) PP. 1 - 12 Pub. Date: March 9, 2018

DOI: 10.22606/epp.2018.31001


  • Obiefuna, J. N*
    Department of Geography and Environmental Science, University of Calabar, Nigeria.
  • Kubua J. B
    Department of Geography and Environmental Science, University of Calabar, Nigeria.
  • Obiefuna, C. J
    Department of Educational Foundation, Guidance and Counseling, University of Calabar, Nigeria.


This research investigated the effects of industrial noise pollution on the health of staff members in Dangote Flour Mills, Calabar. Two hypotheses were formulated in null forms and tested at 0.05 level of significance. Noise data was collected using a sound level meter. Sound level readings were taken at different temporal periods of morning, afternoon and evening. Questionnaire was also administered to elicit relevant data on impact/perception. Data collected were analyzed using analysis of variance (ANOVA) and Pearson product moment correlation co-efficient. The finding revealed that there is a significant variation between noise level at different temporal periods in Dangote flour mills. Besides, there is also a significant effect of high noise level on the health status of members of staff. Based on these findings, appropriate recommendations were made which include that the federal and state governments should enforce policies against certain level of noise pollution in industries in the state. The management of the company should ensure that the WHO regulations on industrial noise pollution are implemented and adhered to within the working environment. Workers and/or staff of the company should wear ear protective devices to reduce the effect of the noise on them. Finally, it was also recommended that the management of the company should endeavour to get machines with the least noise level when making purchases of equipments for processing in order to reduce the effect of noise on the workers.


Acoustic over-exposure, noise level, industrial noise pollution, human Health


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