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Abstract

The increasing student population, developmental, and commercial activities within the University of Lagos main campus have led to an increase in daily noise levels. These increasing noise disturbances have disrupted the serenity and tranquillity of the campus environment. In this study, the noise levels are assessed at thirty–four selected monitoring stations within the University of Lagos main campus. The assessment was done to determine the compliance of the University to international standards set by World Health Organisation for tolerable noise levels in different environmental types (or land use classes). Over a period of three days, the minimum, maximum and average noise levels at the stations were measured using the Extech 407730 sound level meter. In the analysis, noise level maps were produced using Inverse Distance Weighted interpolation, and Pearson’s correlation coefficient was used to determine the correlation between the average observed noise levels and the set standard values. The noise levels measured in the study area ranged from 41.9 - 96.6dBA. It was observed that the minimum noise levels were associated mostly with residential and conservation areas; while the maximum noise levels were mostly associated with commercial areas, vehicle parks and transportation corridors. Generally, the noise levels exceeded the tolerable limits for academic, commercial and residential areas set by World Health Organisation. The results of this study serve as a valuable knowledge base to inform the University management on the need to implement abatement measures aimed at maintaining the noise levels within tolerable limits.

Keywords

Geographic information system Inverse distance weighted interpolation Noise pollution Pearson’s correlation coefficient Sound level World Health Organisation.

Article Details

Creative Commons License

This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.

Author Biography

Chukwuma Okolie, Department of Surveying and Geoinformatics Faculty of Engineering University of Lagos

Lecturer

Department of Surveying and Geoinformatics
Faculty of Engineering
University of Lagos

How to Cite
Alademomi, A. ., Okolie, C., Ojegbile, B. ., Daramola, O. ., Onyegbula, J., Adepo, R. ., & Ademeno, W. . (2020). Spatial and Statistical Analysis of Environmental Noise Levels in the Main Campus of the University of Lagos. The Journal of Engineering Research [TJER], 17(2), 75–88. Retrieved from https://journals.squ.edu.om/index.php/tjer/article/view/3484
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References

  1. Akeh, G.I. and Mshelia, A.D. (2016), The Role of Geographic Information System in Urban Land Administration in Nigeria. MOJ Eoc Environ Sci 1(1): 00004. doi: 10.15406/mojes.2016.01.00004.
  2. Aguilera, I. Foraster, M. Basagaña, X. Corradi, E. Deltell, A. Morelli, X. Phuleria, H.C. Ragettli, M.S. Rivera, M. Thomasson, A. Slama, R. and Künzli, N. (2015), Application of land use regression modelling to assess the spatial distribution of road traffic noise in three European cities. J. Expo. Sci. Environ. Epidemiol., 25(1): 97–105. https://www.ncbi.nlm.nih.gov/pubmed/25227731
  3. Alam, W. (2011), GIS based assessment of noise pollution in Guwahati city of Assam, India. Int. J. Environ. Sci., 2(2): 743 – 751.
  4. https://www.semanticscholar.org/paper/GIS-based-Assessment-of-Noise-Pollution-in-Guwahati-Alam/373fc62a055d2c210660b7d2e0c5f81bac7dd1c7
  5. Can, A. Van Renterghem, T. Rademaker, M. Dauwe, S. Thomas, P. De Baets, B. and Bot-teldooren, D. (2011), Sampling approaches to predict urban street noise levels using fixed and temporary microphones. J. Environ. Monit., 13(10): 2710–2719.
  6. https://pubs.rsc.org/en/content/articlelanding/2011/em/c1em10292c
  7. Carrier, M. Apparicio, P. and Séguin, A. (2016), Road traffic noise in Montreal and environmental equity: what is the situation for the most vulnerable population groups? J. Transp. Geogr., 51: 1-8, ISSN 0966-6923.
  8. https://www.sciencedirect.com/science/article/abs/pii/S0966692315002021
  9. Dass, H.K. (1988), Advanced engineering mathematics (First Edition ed.). https://books.google.com.ng/books?id=IkZLAgAAQBAJ&printsec=copyright&redir_esc=y#v=onepage&q&f=false .
  10. Devore, J.L. (2012), Probability and statistics for engineering and the sciences (Eighth ed.): Richard Stratton.
  11. https://fac.ksu.edu.sa/sites/default/files/probability_and_statistics_for_engineering_and_the_sciences.pdf
  12. Eason, S. (2013), Strategic noise mapping with GIS for the Universitat Jaume I Smart Campus: Best Methodology Practices. M.Sc. Thesis. Universitat Jaume I, Castellon, Spain. https://run.unl.pt/bitstream/10362/9194/1/TGEO0102.pdf
  13. Extech (2013), Extech digital sound level meter. product datasheet. http://www.extech.com/resources/407730data.pdf
  14. Extech (2014), Extech digital sound level meter model 407730. users guide. http://www.extech.com/resources/407730_UM.pdf
  15. Farcaş, F. and Sivertunb, A. (2009), Road Traffic Noise: GIS Tools for Noise Mapping and a Case Study for Skåne Region. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 34, Part XXX. https://www.isprs.org/proceedings/xxxviii/2-W11/Farcas_Sivertun.pdf
  16. Gholami, A. Nasiri, P. Monazzam, M. Gharagozlou, A. Monavvari, S.M. and Afrous, A. (2012), Evaluation of traffic noise pollution in a central area of Tehran through noise mapping in GIS. Adv. Environ. Biol., 6(8): 2365-2373.
  17. http://www.aensiweb.com/old/aeb/2012/2365-2371.pdf
  18. Gloaguen, J.R. Can, A. Lagrange, M. and Petiot, J.F. (2019), Road traffic sound level estimation from realistic urban sound mixtures by Non-negative matrix factorization. Appl. Acoust., 143: 229-238.
  19. https://www.sciencedirect.com/science/article/abs/pii/S0003682X18303475
  20. Goshu, B.S. Mamo, H. and Zerihun, S. (2017), Urban noise: a case study in Dire-Dawa city, Ethiopia. Eur. J. Biophys., 5: 17-26.
  21. https://www.semanticscholar.org/paper/Urban-Noise%3A-A-Case-Study-in-Dire-Dawa-City%2C-Goshu-Mamo/37d822e3b5f53e28e22d5f78fd82f8acac0a37de
  22. Halperin, D. (2014), Environmental noise and sleep disturbances: a threat to health? Sleep. Sci., 7(4): 209–212.
  23. https://www.sciencedirect.com/science/article/pii/S1984006314000601
  24. Hatamzadi, J. Talaiekhozani, A. and Ziaei, G. (2018), Evaluation of noise pollution in Ilam City in 2018. J. Air Pollut. Health., 3: 73-80.
  25. https://www.researchgate.net/publication/326684123_Evaluation_of_Noise_Pollution_in_Ilam_City_in_2018
  26. Isaaks, E.H. and Srivastava, R.M. (1989). Applied geostatistics. Oxford University Press, New York. .
  27. https://www.questia.com/library/62419760/applied-geostatistics
  28. Leao, S. Ong, K. and Krezel, A. (2014). 2loud?: Community mapping of exposure to traffic noise with mobile phones. Environ. Monit. Assess., 186(10): 6193-206.
  29. https://www.ncbi.nlm.nih.gov/pubmed/24920095
  30. Lee, E.Y. Jerrett, M. Ross, Z. Coogan, P.F. and Seto, E.Y.W. (2014), Assessment of traffic-related noise in three cities in the United States. Environ. Res., 132:182-189. https://www.ncbi.nlm.nih.gov/pubmed/24792415
  31. Li, J. and Heap, A.D. (2008), A review of spatial interpolation methods for environmental scientists. Geoscience Australia, Record 2008/23.
  32. https://d28rz98at9flks.cloudfront.net/68229/Rec2008_023.pdf
  33. Luqman, Y.A. Rowland, A.G. Zhang, Y. and Zainab, U.O. (2013), Work environment noise levels and risk locations in two selected commercial areas in Ibadan, Nigeria. Global J. Med. Res., 13(6).
  34. https://globaljournals.org/item/2579-work-environment-noise-levels-and-risk-locations-in-two-selected-commercial-areas-in-ibadan-nigeria
  35. Maisonneuve, N. Stevens, M. and Ochab, B. (2010), Participatory noise pollution monitoring using mobile phones. Inf. Polity., 15(1,2):51–71.
  36. https://dl.acm.org/doi/10.5555/1858974.1858981
  37. Monazzam, M.R. Abbaspour, E.K.M. Nassiri, P. and Taghavi, L. (2014), Spatial traffic noise pollution assessment – a case study. Int. J. Occup. Med. Environ. Health., 28(3):625-634. https://www.ncbi.nlm.nih.gov/pubmed/26190737
  38. Nassiri, P. Elham, K. Mohammad, R.M. Majid, A. and Lobat, T. (2016), Analytical comparison of traffic noise indices — a case study in District 14 of Tehran City. J. Low Freq. Noise. Vibr. Act. Control., 35(3): 221–229.
  39. https://journals.sagepub.com/doi/full/10.1177/0263092316660917
  40. Nwilo, P.C. (1998), Data Acquisition by Ground Survey Methods. In C.U. Ezeigbo (Ed.) Principles and Applications of Geographic Information Systems. Series in Surveying and Geoinformatics. ISBN 978-027-764-1.
  41. Nwobi-Okoye, C.C. Uyaelumuo, A.E. Duru C.A. and Okoronkwo, G.O.O. (2015). Analysis and modelling of road traffic noise In Onitsha metropolis, Nigeria. Int. J. Adv. Multidiscip. Res., I(1): 1-20.
  42. http://rex.commpan.com/index.php/ijamrr/article/view/35
  43. Obaidat, M.T. (2008), Spatial mapping of traffic noise levels in urban areas. J. Transp. Res. Forum., 47(2): 89-102.
  44. https://pdfs.semanticscholar.org/69ca/2b0e8318a0097090948cfef833b66e3f19d6.pdf
  45. Obiefuna, J.N. Bisong, F.E. and Ettah, E.B. (2013), A GIS analysis of noise islands in Calabar metropolis, Nigeria. J. Environ. Sci., (3), 12.
  46. https://pdfs.semanticscholar.org/3a11/7c932307724a169e9cd97b2679431420c1ff.pdf
  47. Ragettli, M.S. Goudreau, S. Plante, C. Fournier, M. Hatzopoulou, M. Perron, S. and Smargiassi, A. (2016), Statistical modeling of the spatial variability of environmental noise levels in Montreal, Canada, using noise measurements and land use characteristics. J. Expo. Sci. Environ. Epidemiol., 26(6):597-605.
  48. https://www.ncbi.nlm.nih.gov/pubmed/26732373
  49. Ruge, L. Altakrouri, B. and Schrader, A. (2013), Sound of the city - continuous noise monitoring for a healthy city. In Proceedings of the 5thInternational Workshop on Smart Environments and Ambient Intelligen., 670–675.
  50. http://www.csee.usf.edu/~mlabrador/Share/workshops/papers/p670-ruge.pdf
  51. Taghizadeh-Mehrjardi, R. Zare, M. and Zare, S. (2013), Mapping of noise pollution by different interpolation methods in recovery section of Ghandi telecommunication Cables Company. JOHE, Winter-spring 2013; 2 (1-2). doi: 10.18869/acadpub.johe.2.1.2.1
  52. Walker, J. Resnick, R. and Halliday, D. (2014), Fundamentals of physics (10th ed.).
  53. http://www.primeuniversity.edu.bd/160517/vc/eBook/download/fundamentals-of-physics-textbook.pdf
  54. WHO (2019), Guideline values (Date accessed: 18th December, 2019).
  55. https://www.who.int/docstore/peh/noise/Comnoise-4.pdf
  56. Zannin, P.H.T. (2013), Noise mapping of an educational environment. Can. Acoust., 41(1): 27-34.
  57. https://jcaa.caa-aca.ca/index.php/jcaa/article/view/2600
  58. Zare, S. Hasheminejad, N. Shirvan, H.E. Hasanvand, D. Hemmatjo, R. and Ahmadi, S. (2018), Assessing individual and environmental sound pressure level and sound mapping in Iranian safety shoes factory. Romanian J. Acoust. Vib., 15(1).
  59. http://rjav.sra.ro/index.php/rjav/article/view/46/33
  60. Zuo, F. Li, Y. Johnson, S. Johnson, J. Varughese, S. Copes, R. Liu, F. Wu, H.J. Hou, R. and Chen, H. (2014), Temporal and spatial variability of traffic-related noise in the city of Toronto, Canada. Sci. Total. Environ., 15;472:1100-1107.
  61. https://www.ncbi.nlm.nih.gov/pubmed/24361745