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Potential impact of pollutant emitted by generator-powered telecommunication masts on air quality of Oja Oba in Akure metropolis

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Abstract

The main aim of this study is to simulate the concentrations of three major air pollutants, namely carbon monoxide (CO), nitrogen oxide (NOx), and particulate matter of diameter less or equal to 10 μm (PM10), commonly emitted from base station of telecommunication masts powered by a generator running on diesel and evaluated the simulated pollutants in terms of health risks they pose to people living at close proximity to the telecommunication masts. In this study, we engaged the AERMOD model to simulate the concentrations of pollutants emanating from the use of generators in powering telecommunication base stations around a major busy market place in Akure, Nigeria, a tropical location. The simulation of pollutants was carried out for both dry months (January, February, and March) and wet months (June, July, and August) of 2018. Results showed that CO has the 1-h highest simulated concentration of 1013.4 μg/m3, and it was found during wet seasons, while NOx has 1-h highest concentration of 78.8 μg/m3, and the corresponding value of PM10 was 58.7 μg/m3. While highest concentrations of CO and NOx occurred during the wet season, PM10 highest concentration occurred during the dry season. Measured concentrations of the pollutants also showed similar pattern; however, the measured concentrations are higher than their corresponding simulated values. This difference between measured and simulated is accounted for as background concentration from other sources of pollution. The risks posed to human health by these pollutants were evaluated using hazard quotient (HQ) against some air quality related such as asthma, aggravated asthma, eye irritation, and reproductive and developmental toxicity. CO posed greater human health risks in both wet and dry seasons having HQ greater unity, while PM10 human health risk is noticeable during the dry season. NOx do not pose a human health risk due to very minor content of nitrogen compound emitted by the generators. It is has been demonstrated that the use of a generator to power electrical need of telecommunication base stations has a high impact on air quality within the vicinity of these stations. The hazard could be escalated where many base stations are co-located close public places. Renewable sources of energy could be used in place of generators in the base stations to reduce the impact on air quality and safeguard human health.

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References

  • Balogun AA, Morakinyo TE, Adegun OB (2014) Effect of tree-shading on energy demand of two similar buildings. J Energy Build 81:305–315

    Article  Google Scholar 

  • Barnes DG, Dourson M (1988) Reference dose (RfD): description and use in health risk assessments. J Regul Toxicol Pharmacol 8:471–486

    Article  CAS  Google Scholar 

  • Brashers B, Emery C (2012) The mesoscale model interface program (MMIF), EPA Contract No. EP–D–07–102, Novato, p. 41

  • Cimorelli AJ, Perry SG, Venkatram A, Weil JC, Paine RJ, Wilson RB, Lee RF, Peters WD, Brode RW (2005) AERMOD: a dispersion model for industrial source applications. Part I: General model formulation and boundary layer characterization. Am Meteorol Soc 44:682–692

    Google Scholar 

  • Debrock K, Cheymol A, Vanderstraten P. (2009) Les données de l’IBGE : Particules fines PM10, PM2.5, PM1, PM0.1. [The IBGE Data: Particles Matters PM10, PM2.5, PM1, PM0.1. The Data of Environment Observatory.] Research Laboratory on Environment. Department of Air, Climate and Energy, 1–51

  • Deshpande P, Mohan V, Ingavale D, Mane J, Pore M, ThakurdesaiPhd P (2017) Preclinical safety assessment of furostanol glycoside-based standardized fenugreek seed extract in laboratory rats. J Diet Suppl 14(5):521–541. https://doi.org/10.1080/19390211.2016.1272659

    Article  CAS  Google Scholar 

  • Foronda NM, Fowles J, Smith N, Taylor M, Temple W (2007) Benchmark dose analysis for sodium monofluoroacetate (1080) using dichotomous toxicity data. J Regul Toxicol Pharmacol 47:84–89

    Article  CAS  Google Scholar 

  • Forret A, Schweitzer JM, Gauthier T, Krishna R, and Schweich D (2006) Scale up of slurry bubble reactors. Oil & Gas Science and Technology – Rev IFP 61(3):443–458

  • Fourmeaux A, Ruscart F, Maquinay JC (2000) Réseau de mesure de la qualité de l’airen

  • Garrett MH, Hooper MA, Hooper BM, Rayment PR, Abramson MJ (1999) Increased risk of allergy in children due to formaldehyde exposure in homes. Allergy 54(4):330–337 [Erratum-Allergy 54(12:1327)]

    Article  CAS  Google Scholar 

  • Gaylor DW, Kodell RL (2002) A procedure for develo** risk-based reference doses. J Regul Toxicol Pharmacol 35:137–141

    Article  CAS  Google Scholar 

  • Gross I (2012) Mitigating ICT-related carbon emissions: using renewable energy to power base stations in Africa’s mobile telecommunications sector. Centre for Development Informatics (CDI), University of Manchester, United Kingdom

  • GSMA (2013) Powering telecoms: West Africa market analysis- seizing the potential for green telecoms in Nigeria and Ghana. http://www.millennia2015.org/files/files/Zero_mothers_die/gpm_market_analysis_west_africa_pdf. Accessed 5th Aug 2017

  • Gunawan D,Agustine I and Yulinawati H (2018) Spatial dispersion of particulate matters to ambient air in Jakarta and Palembang. IOP Conf Ser Earth Environ Sci 203:012005

  • He H, Wang Y, Ma Q, Ma J et al (2014a) Mineral dust and NOx promote the conversion of in mobile and conventional homes. Am J Public Health 77(3):323–328 [PMC free article] Int. 29: 245–52

    Google Scholar 

  • He H, Wang Y, Ma Q, Ma J, Chu B, Ji D, Tang G, Liu C, Zhang H, Hao J (2014b) Mineral dust and NOx promote the conversion of SO2 to sulfate in heavy pollution days. Sci Rep 4:4172. https://doi.org/10.1038/srep04172

    Article  CAS  Google Scholar 

  • IEA (2007) Energy Efficiency Policy Analysis https://webstore.iea.org/energy-efficiency-policy-analysis-at-the-iea-2007

  • Ishak, Everard (2017) Persistent and recurrent bacterial bronchitis—a paradigm shift in our understanding of chronic respiratory disease. Front Pediatr 5:19

    Article  Google Scholar 

  • Lippmann, Morton ed. (2009) Environmental Toxicants. https://doi.org/10.1002/9780470442890. ISBN 9780470442890.

  • Mbiaké R, Mfoumou E, BeyaWakata A, Ndjeuna E, KazeDjamen JR, Leduc R, Bobda C (2017) Atmospheric dispersion modelling of the emissions from the Logbaba thermal power plant, Douala-Cameroun. Open J Air Pollut 6:117–134 http://www.scirp.org/journal/ojap

    Article  Google Scholar 

  • MCI (2011) milllennium initiative, Earth institute Columbia University mci.ei.columbia.edu

  • Mutahharah MM, Hassim MH, Taib RM (2014) Health risk assessment of emissions from a coal-fired power plant using AERMOD modeling. J Process Saf Environ Prot 92:476–485

    Article  Google Scholar 

  • Nazaroff WW, Alvarez-Cohen L (2001) Environmental engineering science. Wiley, New York

  • NBS (2017) Nigerian telecommunication sector, summary report, March, 2017

  • NCC (2017) Nigeria has achieved 100 percent teledensity. The Communicator Magazine 2017Issue #21 Quarter 2 Edition June 2017

  • National Population Commission (NPC) (2006) Nigeria National Census: Population Distribution by Sex, State, LGAs and Senatorial District: 2006 Census Priority Tables (Vol. 3). http://www.population.gov.ng/index.php/publication/140-popn-distri-by-sex-state-jgas-and-senatorial-distr-2006

  • Oluleye A (2017) Role of meteorology in major dust pollution outbreak of 20th-29th March 2010 over South Coast of West Africa. J Pollut Eff Cont 5:2. https://doi.org/10.4176/2375-4397.1000192

    Article  Google Scholar 

  • Oluleye A, EC Okogbue (2013) Analysis of temporal and spatial variability of total column ozone over West Africa using daily TOMS measurements. Atmospheric Pollution Research 4(4):387–397

  • Omotosho JB (1985) The separate contributions of line squalls, thunderstorms and the monsoon to the total rainfall in nigeria. Int J Climatol https://doi.org/10.1002/joc.3370050507

  • Podrez M (2015) An update to the ambient ratio method for 1-h NO2 air quality standards dispersion modeling. Atmos Environ 103(2015):163–170

    Article  CAS  Google Scholar 

  • Punch News (2016) Telecoms firms spend = N = 730 billion to generate electricity, www.punchng.com

  • Raaschou-Nielsen O et al (2013) Air pollution and lung cancer incidence in 17 European cohorts: prospective analyses from the European Study of Cohorts for Air Pollution Effects (ESCAPE). Lancet Oncol 14(9):813–822. https://doi.org/10.1016/S1470-2045(13)70279-1 Retrieved 10 July 2013. Particulate matter air pollution contributes to lung cancer incidence in Europe

    Article  Google Scholar 

  • Ritchie IM, Lehnen RG (1987) Formaldehyde-related health complaints of residents living in mobile and conventional homes. Am J Public Health 77(3):323–328

    Article  CAS  Google Scholar 

  • Rood S (2014) Performance evaluation of AERMOD, CALPUFF, and legacy air dispersion models using the Winter Validation Tracer Study dataset. Atmos Environ 89:707–720

    Article  CAS  Google Scholar 

  • Rumchev KB, Spickett JT, Bulsara MK, Phillips MR, Stick SM (2002) Domestic exposure

  • Sahu SK, Schultz MG, Beig G (2015) Critical pollutant emissions from the India Telecom network. Atmos Environ 103:34–42

    Article  CAS  Google Scholar 

  • Scheers H, Jacobs L, Casas L, Nemery B, Nawrot TS (2015) Long-term exposure to particulate matter air pollution is a risk factor for stroke meta-analytical evidence. AHA/ASA J: Stroke:3058–3066

  • Skamarock WC, Klemp JB, Dudhia J, Gill DO, Liu Z, Berner J, Wang W, Powers JG, Duda MG, Barker DM, Huang X-Y (2019) A description of the advanced research WRF Version 4. NCAR Tech. Note NCAR/TN-556+STR, 145 pp. https://doi.org/10.5065/1dfh-6p97

  • Taskinen HK, Kyyronen P, Sallmen M, Virtanen SV, Liukkonen TA, Huida O, Lindbohm ML, Anttila A (1999) Reduced fertility among female wood workers exposed to formaldehyde. Am J Ind Med 36(1):206–212

    Article  CAS  Google Scholar 

  • Thisday (2017) Power generation increases to 4.043 MW when gas supply improves. www.newsheadlines.com.ng

  • U.S. Environmental Protection Agency (U.S. EPA) (2009) Human health risk assessment [homepage on the Internet]. Available from: http://www.epa.gov/risk/health-risk.htm

Download references

Acknowledgments

The authors are grateful to Mr Adebowale, a technical staff who helped in the setting up the instrument for air pollutants concentration sampling during the period of this assessment. Much thanks are due to two anonymous reviewers whose critical suggestions have improved this paper.

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Correspondence to Ayodeji Oluleye.

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Oluleye, A., Adabale, A. Potential impact of pollutant emitted by generator-powered telecommunication masts on air quality of Oja Oba in Akure metropolis. Environ Sci Pollut Res 27, 32554–32568 (2020). https://doi.org/10.1007/s11356-020-09430-8

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