Seasonal and Spatial Analysis of Air Pollutants Emissions from Fuel-Wood Utilization in Selected Rural Communities within Odeda LGA, Nigeria

F. Oyebanji; O. Oguntoke; O. Ojekunle; C. Adeofun; O. Adedeji; U. Ekpo

Seasonal and Spatial Analysis of Air Pollutants Emissions from Fuel-Wood Utilization in Selected Rural Communities within Odeda LGA, Nigeria

Oyebanji, F. F. §

Contact

O. Oguntoke

Contact

O. Z. Ojekunle

Contact

C. O. Adeofun

Contact

O. H. Adedeji

Contact

U. F. Ekpo

Contact

§ Pan African University, Institute of Life and Earth ...

Seasonal and Spatial Analysis of Air Pollutants Emissions from Fuel-Wood Utilization in Selected Rural Communities within Odeda LGA, Nigeria

Article Fingerprint

ReserarchID

0767N

Key Research Insights

Synthesized scholarly intelligence & interactive research assistant

This converted HTML version may contain rendering inconsistencies. Please refer to the PDF for the authoritative version, or click here to provide feedback.

Abstract

The effects of fuel-wood utilization on spatial and temporal concentration of air pollutants were assessed in 12 purposively selected rural communities in Odeda Local Government Area of Ogun state. Carbon (II) oxide (CO), Carbon (IV) oxide (CO2), Sulphur (IV) oxide (SO2), Nitrogen (IV) oxide (NO2), Methane (CH4) and Particulate Matter of 2.5 (PM2.5) and 10 (PM10)were monitored at 0, 2 and 5 m away from the cooking points using active air samplers in dry and wet seasons. Data collected were subjected to descriptive, ANOVA and Correlation statistics at 0.05 significant level. The mean±SD concentration (ppm) of pollutants monitored at 0, 2 and 5 m respectively across the villages were CO: 37.42±5.10, 26.00±3.86, 15.27±3.65;CO2: 21.30±6.72, 10.71±1.31, 5.63±4.31; NO2: 0.50±0.12, 0.16±0.05, 0.14±0.18; SO2: 1.60±0.76, 1.10±1.52, 0.24±0.24; CH4: 0.50±0.52, 0.33±0.49, 0.08±0.29; PM10: 77.18±8.47, 35.99±3.78, 12.74±1.59; and PM2.5: 28.93±4.24, 17.92±4.33, 8.87±3.32 at average wind speed of 2.52±0.25m/s in the wet season; while CO: 15.18±4.29, 6.57±3.53, 1.17±1.40;CO2: 44.09±10.74, 21.60±7.78, 9.78±3.10; NO2: 0.59±0.12, 0.17±0.11, 0.08±0.08; SO2: 2.05±0.65, 0.80±0.38, 0.26±0.26; CH4: 0.58±0.51, 0.33±0.49, 0.08±0.29; PM10: 98.64±9.22, 48.53±7.63, 17.64±8.98 and PM2.5: 43.81±11.11, 16.44±3.71, 7.81±1.78 at average wind speed of 3.11±0.57 m/s in the dry season. PM10 had the highest mean concentration for both wet and dry seasons. The mean concentrations of CO and CH4 reduced from wet to dry seasons, while CO2, SO2, NO2, PM2.5 and PM10 increased from wet to dry seasons. There were no significant differences (p > 0.05) in the mean concentration of air pollutants across the communities for both seasons except for CH4. The overall mean values of NO2 (0.25±0.06 and 0.28±0.09)and SO2 (0.84±0.36 and 1.03±0.36)for wet and dry seasons respectively were above the National Environmental Standards and Regulations Enforcement Agency (NESREA) air quality study concludes that although fuel-wood utilization affects the 33 1 quality of air,concentration reduces and changes over space and time respectively.

References

28 Cites in Article

Reference Format

1. C. Akanni (1992). Aspects of Climate. Ogun State in Maps
2. D. Briggs (2000). A regression-based method for mapping traffic-related air pollution: application and testing in four contrasting urban environments. Science of The Total Environment, 253(1-3), 151-167.
CrossRef DOI
3. (2009). Air Quality Information Sheet (Firewood Restrictions and Air Quality in Western Australia. Air Quality Information Sheet (Firewood Restrictions and Air Quality in Western Australia, 1-7.
4. F. Echalar,A. Gaudichet,H. Cachier,P. Artaxo (1995). Aerosolemission by tropical forest and savanna biomass burning: Characteristic trace elements and fluxes.
5. EPA (Environmental Protection Agency) (2010). EPA (Environmental Protection Agency), 2010. Control Emmissions Technologies - Transport & Dispersion of Air Pollutants. Available at, 6.
6. A. Gbadegesin (1992). Vegetation. In: Ogun State in Maps.
7. D. Gunnar,S. Jitka,M. Rikke (2002). Ige – Mediated Asthma and Rhinitis: A Role of Allergen Exposure?. Pharmacology and Toxicology
8. M. Jerrett,A. Arain,P. Kanaroglou,Beckerman (2005). A review and evaluation of intraurban air pollution exposure models. A review and evaluation of intraurban air pollution exposure models. J. Expo Anal Environ Epidemiol, 15, 185-204.
9. Dorothy Koch,James Hansen (2005). Koch, D., and Hansen, J. 2005. Distant origins of Arctic black carbon:A Goddard Institute for Space Studies Model Eexperiment. J.Geophys. Res, 110(D4), 4204.
CrossRef DOI
10. J. Koenig (1993). Pulmonary Function Changes in Children Associated with Fine Particulate Matter. Environmental Research, 63(1), 26-38.
CrossRef DOI
11. J. Koenig (2003). Measurement of offline exhaled nitric oxide in a study of community exposure to air pollution. Environmental Health Perspectives, 111(13), 1625-1629.
CrossRef DOI
12. J. Koenig (2005). Pulmonary Effects of Indoor- and Outdoor-Generated Particles in Children with Asthma. Environmental Health Perspectives, 113(4), 499-503.
CrossRef DOI
13. H. Koning,K. Smith,J. Last (1985). W., Smith, K R and Last J M 1985. Biomass fuel combustion and health- Bulletin of World Health Organisation1985, 63(1), 11-26.
14. K. Miller (2007). Long-Term Exposure to Air Pollution and Incidence of Cardiovascular Events in Women. New England Journal of Medicine, 356(5), 447-458.
CrossRef DOI
15. Naeher Luke,P. Michael Rauer,Michael Lipsett,Judith Zelikoff,Christopher Simpson,Jane Koenig,Kirk Smith (2007). Woodsmoke health effects: Review inhalation toxicology.
CrossRef DOI
16. G. Norris,S. Youngpong,J. Koenig,T. Larson,L. Sheppard,J. Stout (1999). An association between fine particles and asthma emergency department visits for children in Seattle. Environmental Health Perspectives, 107(6), 489-493.
CrossRef DOI
17. (2006). Population Distribution by Sex, State, LGAs, and Senatorial Districts. Population Distribution by Sex, State, LGAs, and Senatorial Districts. Available at: www.population.gov.ng/ publications
18. M. Mokwunye,J. (2003). Odii M.A.C.A. and Mokwunye J.N. 2003. Minimisingfel wood consumption through the evolution of hot stone cooker as an alternative domestic energy supply. JASR, 3(1)
19. Y. Oin,X. Zhang,H. Jin,Y. Liu,Z. Fan (1993). Effects of Indoor Air Pollution on Respiratory illness of School Children. Proceedings of the Sixth International Conference on Indoor AirQuality, 477-482.
20. J. Sinton,R. Weller (2003). Air Pollution Challenges in Rural China. Available at: www.wilsoncenter.org
21. C. Oren (2001). Air Pollution. Access Science.
22. F. Oyebanji,C. Adeofun,O. Adedeji,U. Ekpo,O. Oguntoke,O. (2013). Assessment of respiratory health impacts of fuelwood utilization on exposed rural women in Odeda, Southwestern, Nigeria Global Journal of Science Frontier Research Environment and Earth. Global Journal of Science Frontier Research Environment and Earth, 13(4), 16-23.
23. Lianne Sheppard,Drew Levy,Gary Norris,Timothy Larson,Jane Koenig (1999). Effects of Ambient Air Pollution on Nonelderly Asthma Hospital Admissions in Seattle, Washington. Epidemiology, 10(1), 23-30.
CrossRef DOI
24. C. Venkataraman,G. Habib,A. Eiguren-Fernandez,A. Miguel,S. Friedlander (2005). Residential Biofuels in South Asia: Carbonaceous Aerosol Emissions and Climate Impacts. Science, 307, 1454-1456.
25. World Health Organization (WHO) (2005). WHO air quality guidelines global update 2005. WHO air quality guidelines global update
26. WMO (1999). Weather, climate and Health.
27. O. Yu,L. Sheppard (2000). Effects of Ambient Air Pollution on Symptoms of Asthma in Seattle-Area Children Enrolled in the CAMP Study. Environmental Health Perspectives, 108(12), 1209.
CrossRef DOI
28. Zafar Fatmi,Asma Rahman,M. AmbreenKazi,Nalinisathiakumar Kadir (2010). Situational Analysis of Household Energy and Biomass Use and Associated Health Burden of Indoor Air Pollution and Mitigation Efforts in Pakistan Int J Environ Res. Int. J. Environ. Res. Public Health, 7, 2940-2952.
CrossRef DOI

Download References

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

F. F. Oyebanji, O. Oguntoke, O. Z. Ojekunle, C. O. Adeofun, O. H. Adedeji, U. F. Ekpo. 2016. "Seasonal and Spatial Analysis of Air Pollutants Emissions from Fuel-Wood Utilization in Selected Rural Communities within Odeda LGA, Nigeria". Global Journal of Science Frontier Research - H: Environment & Environmental geology GJSFR-H Volume 16 (GJSFR Volume 16 Issue 20 (H3)).

More Citation Formats

Select Citation Style:

Download Citation

GJSFR Volume 16 Issue 20 (H3)

Explore Journals Explore Volume Read This Issue

Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

Keywords

air quality ambient environment dirty energy spatio-temporal concentrations

Classification

GJSFR-H Classification FOR Code: 960199

Submission ReceivedMay 21, 2016
Peer Review Double Blind
Handling Editor
Accepted June 20, 2016
Published July 5, 2016

Version of record

v1.2

Issue date

July 5, 2016

Language

English

Order Article Reprint

Experience in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

View in VR

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

View in 3D

Article Matrices

Total Score: 114

Country: Nigeria

Subject: Global Journal of Science Frontier Research - H: Environment & Environmental geology

Authors: Oyebanji, F. F., Oguntoke, O., Ojekunle, O. Z., Adeofun, C. O., Adedeji, O. H., Ekpo, U. F., Adekunle, M. M. (PhD/Dr. count: 0)

View Count (all-time): 366

Total Views (Real + Logic): 820

Total Downloads (simulated): 56

Publish Date: 2016 06, Tue

Monthly Totals (Real + Logic):

Month 1: 24 views
Month 2: 57 views
Month 3: 63 views
Month 4: 60 views
Month 5: 42 views
Month 6: 39 views
Month 7: 37 views
Month 8: 28 views
Month 9: 34 views
Month 10: 53 views
Month 11: 33 views
Month 12: 25 views
Month 13: 25 views
Month 14: 30 views
Month 15: 12 views
Month 16: 39 views
Month 17: 32 views
Month 18: 11 views
Month 19: 26 views
Month 20: 20 views
Month 21: 30 views
Month 22: 26 views
Month 23: 22 views
Month 24: 20 views
Month 25: 16 views
Month 26: 26 views
Month 27: 30 views
Month 28: 36 views
Month 29: 33 views
Month 30: 24 views
Month 31: 19 views
Month 32: 20 views
Month 33: 19 views
Month 34: 30 views
Month 35: 39 views
Month 36: 34 views
Month 37: 44 views
Month 38: 42 views
Month 39: 35 views
Month 40: 30 views
Month 41: 25 views
Month 42: 17 views
Month 43: 40 views
Month 44: 27 views
Month 45: 24 views
Month 46: 21 views
Month 47: 39 views
Month 48: 32 views
Month 49: 40 views
Month 50: 41 views
Month 51: 23 views
Month 52: 28 views
Month 53: 39 views
Month 54: 42 views
Month 55: 35 views
Month 56: 24 views
Month 57: 23 views
Month 58: 33 views
Month 59: 31 views
Month 60: 30 views
Month 61: 19 views
Month 62: 23 views
Month 63: 22 views
Month 64: 28 views
Month 65: 17 views
Month 66: 43 views
Month 67: 26 views
Month 68: 28 views
Month 69: 16 views
Month 70: 33 views
Month 71: 26 views
Month 72: 35 views
Month 73: 28 views
Month 74: 43 views
Month 75: 31 views
Month 76: 19 views
Month 77: 44 views
Month 78: 38 views
Month 79: 19 views
Month 80: 16 views
Month 81: 17 views
Month 82: 37 views
Month 83: 26 views
Month 84: 43 views
Month 85: 46 views
Month 86: 18 views
Month 87: 17 views
Month 88: 46 views
Month 89: 34 views
Month 90: 43 views
Month 91: 20 views
Month 92: 27 views
Month 93: 18 views
Month 94: 22 views
Month 95: 33 views
Month 96: 25 views
Month 97: 34 views
Month 98: 14 views
Month 99: 33 views
Month 100: 14 views
Month 101: 34 views
Month 102: 20 views
Month 103: 24 views
Month 104: 24 views
Month 105: 40 views
Month 106: 36 views
Month 107: 20 views
Month 108: 34 views
Month 109: 38 views
Month 110: 48 views
Month 111: 33 views
Month 112: 26 views
Month 113: 34 views
Month 114: 39 views
Month 115: 36 views
Month 116: 23 views
Month 117: 37 views
Month 118: 48 views
Month 119: 43 views
Month 120: 24 views
Month 121: 55 views
Month 122: 29 views
Month 123: 36 views
Month 124: 49 views
Month 125: 32 views

Total Views: 820

Total Downloads: 56

All Trends