PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2016 | 25 | 6 |
Tytuł artykułu

Oil spill influence on vegetation in Nigeria and Its determinants

Autorzy
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Nigeria is facing some serious environmental challenges due to frequent oil spills, especially in the Niger Delta. Oil spills are one of the main sources of environmental contamination in the country. Daily oil spill incidents have polluted the air, soil, natural vegetation, farmlands, sources of drinking water, and fishing creeks. Multi end member spectral mixture analysis (MESMA) was used to calculate vegetation percentage inside each pixel of Landsat7 images before and after oil spill incidents to evaluate the negative influence of spilled oil on impacted areas' vegetation. 163 recorded oil spill incidents between 2011 and 2012 were investigated in the Rivers State, Nigeria for this purpose. Results revealed that 73% of studied spill-impacted areas have vegetation losses caused by oil spills. Recorded oil spill data were used to create a comprehensive spatial database using GIS to examine which types of data could be potential determinants for oil spill influence on Nigeria’s vegetation. Among fifteen different types of examined oil spill data; this study concluded that impacted area size, spilled oil volume, residual oil volume on site, impacted area environment, and response, recovery, and cleanup timing are major determinants for oil spill influence on the Niger Delta’s vegetation.
Słowa kluczowe
Wydawca
-
Rocznik
Tom
25
Numer
6
Opis fizyczny
P.2533-2540,fig.,ref.
Twórcy
autor
  • Faculty of Information Engineering, China University of Geosciences, Wuhan 430074, P.R. China
autor
  • Faculty of Information Engineering, China University of Geosciences, Wuhan 430074, P.R. China
autor
  • Faculty of Information Engineering, China University of Geosciences, Wuhan 430074, P.R. China
Bibliografia
  • 1. Nwankwoala H.O., Nwaogu C. Utilizing the tool of gis in oil spill management-a case study of Etche LGA, Rivers State, Nigeria. Global Journal of Environmental Sciences. 8 (1), 2009.
  • 2. Kuenzer C., van Beijma S., Gessner U., Dech S. Land surface dynamics and environmental challenges of the Niger Delta, Africa: remote sensing-based analyses spanning three decades (1986-2013). Applied Geography. 53, 354, 2009.
  • 3. Adelana S.O., Adeosun T., Adesina A.O., Ojuroye M.O. Environmental pollution and remediation: challenges and management of oil Spillage in the Nigerian coastal areas. American Journal of Scientific and Industrial Research. 2 (6), 834, 2011.
  • 4. Ogri O.R. A review of the Nigerian petroleum industry and the associated environmental problems. Environmentalist. 21 (1), 11, 2001.
  • 5. Twumasi Y.A., Merem E.C. GIS and remote sensing applications in the assessment of change within a coastal environment in the Niger Delta Region of Nigeria. International journal of environmental research and public health. 3 (1), 98, 2006.
  • 6. Orimoogunje O.O.I., Ajibola -James O. Mangrove Ecosystem Recovery and Restoration from Oil Spill in the Niger Delta: The GIS Perspective. Geoinfor Geostat: An Overview S1. 5 (2), 2013.
  • 7. Oyinloye M.A., Olamiju O.I. An assessment of the physical impact of oil spillage using GIS and Remote Sensing technologies: Empirical evidence from Jesse town, Delta State, Nigeria. British Journal of Arts and Social Sciences. 12 (2), 235, 2013.
  • 8. NNPC. 2013 Annual Statistical Bulletin Nigerian National Petroleum Corporation http://www.nnpcgroup.com/Portals/0/Monthly%20Performance/2013%20ASB%201st%20edition.pdf (accessed January 13th, 2014).
  • 9. Uchegbulam O., Ayolabi E.A. Satellite Image Analysis using Remote Sensing Data in Parts of Western Niger Delta. Nigeria Journal of Emerging Trends in Engineering and Applied Sciences. 4 (4), 612, 2013.
  • 10. Jha M.N., Levy J., Gao Y. Advances in remote sensing for oil spill disaster management: state-of-the-art sensors technology for oil spill surveillance. Sensors. 8 (1), 236, 2008.
  • 11. Fingas M., Brown C. Review of oil spill remote sensing. Marine pollution bulletin. 83 (1), 9, 2014.
  • 12. Emengini E.J., Ugbelase V.N. Mapping the effects of Hydrocarbon spillage on plant spectral properties. International Journal of Environmental Science, Management and Engineering Research. 2 (1), 30, 2013.
  • 13. Ivanov A.Y., Zatyagalova V.V. A GIS approach to mapping oil spills in a marine environment. International Journal of Remote Sensing. 29 (21), 6297, 2008.
  • 14. Aukett L. The Use of Geographical Information System (GIS) In Oil Spill Preparedness and Response. In International Conference on Health, Safety and Environment in Oil and Gas Exploration and Production. Society of Petroleum Engineers, 2012.
  • 15. Banks S. SeaWiFS satellite monitoring of oil spill impact on primary production in the Galapagos Marine Reserve. Marine pollution bulletin. 47 (7), 325, 2003.
  • 16. Teruhisa K., Masahiro N., Hiroshi K., Tomoko Y., Kouichi O., Marine Life Research Group of Takeno. Impacts of the Nakhodka heavy-oil spill on an intertidal ecosystem: an approach to impact evaluation using geographical information system. Marine pollution bulletin. 47 (1), 99, 2003.
  • 17. Roberts D.A., Beland M., Kokaly R.F., Couvillion B., Ustin S., Peterson S. Mapping wetland species and the impact of oil from the Deep Horizon using the Airborne/Visible Imaging Spectrometer and Multiple Endmember Spectral Mixture Analysis. In AGU Fall Meeting Abstracts. 1, 2011.
  • 18. Mishra D.R., Cho H.J., Ghosh S., Fox A., Downs C., Merani P.B., Kirui P., Jackson N., Mishra S. Postspill state of the marsh: Remote estimation of the ecological impact of the Gulf of Mexico oil spill on Louisiana salt marshes. Remote Sensing of Environment. 118, 176, 2012.
  • 19. Arslan M.D., Filippi A.M., Guneralp I. Oil Spill Detection along the Gulf of Mexico Coastline based on Airborne Imaging Spectrometer Data. In AGU Fall Meeting Abstracts. 1, 1403, 2013.
  • 20. Kokaly R.F., Couvillion B.R., Holloway J.M., Roberts D.A., Ustin S.L., Peterson S.H., Khanna S., Piazza S.C. Spectroscopic remote sensing of the distribution and persistence of oil from the Deepwater Horizon spill in Barataria Bay marshes. Remote Sensing of Environment. 129, 210, 2013.
  • 21. Peterson S.H., Roberts D.A., Beland M., Kokaly R.F., Ustin S.L. Oil detection in the coastal marshes of Louisiana using MESMA applied to band subsets of AVIRIS data. Remote Sensing of Environment. 159, 222, 2015.
  • 22. Saif Ud Din , Al Dousari A., Literathy P. Evidence of hydrocarbon contamination from the Burgan oil field, Kuwait – Interpretations from thermal remote sensing data. Journal of environmental management. 86 (4), 605, 2008.
  • 23. Hese S., Schmullius C. High spatial resolution image object classification for terrestrial oil spill contamination mapping in West Siberia. International journal of applied earth observation and geoinformation. 11 (2), 130, 2009.
  • 24. Anifowose B., Lawler D.M., Van der Horst D., Chapman L. Attacks on oil transport pipelines in Nigeria: A quantitative exploration and possible explanation of observed patterns. Applied Geography. 32 (2), 636, 2012.
  • 25. Adamu B., Tansey K., Bradshaw M.J. Investigating vegetation spectral reflectance for detecting hydrocarbon pipeline leaks from multispectral data. In SPIE Remote Sensing. International Society for Optics and Photonics, 889216, 2013.
  • 26. Anifowose B., Lawler D., Horst D., Chapman L. Evaluating interdiction of oil pipelines at river crossings using Environmental Impact Assessments. Area. 46 (1),4, 2014.
  • 27. FRN. Niger Delta Regional Development Master plan, Federal Republic of Nigeria, http://www.nddc.gov.ng/NDRMP%20Chapter%201.pdf (Accessed March 12th 2015).
  • 28. Ibeanu O. Oiling the friction: Environmental conflict management in the Niger Delta, Nigeria. Environmental change and security project report. 6, 19, 2000.
  • 29. Egberongbe F.O., Nwilo P.C., Badejo O.T. Oil spill disaster monitoring along Nigerian Coastline. In 5th FIG Regional Conference, Accra, Ghana. 8, March 2006.
  • 30. Kuruk P. Customary water laws and practices: Nigeria, http://weavingaweb.org/pdfdocuments/LN190805_Nigeria. pdf. 2004 (accessed August 1st, 2013).
  • 31. Fabiyi O.O. Change actors’ analysis and vegetation loss from remote sensing data in parts of the Niger Delta region. Journal of Ecology and the Natural Environment. 3 (12), 381, 2011.
  • 32. Ejibunu H.T. Oil Resources and Violence in Rivers State of Nigeria: Implications and the Way Forward. Being a Thesis submitted to the European University Center for Peace Studies, Stadtschlaining/Burg, Austria, in partial fulfillment of the requirements for the award of Master of Arts Degree in Peace and Conflict Studies. 2008.
  • 33. SHELL. Oil Spills monthly reports for 2011 and 2012, Shell Petroleum Development Company (SPDC), http://www. shell.com.ng/environment-society/environment-tpkg/oilspills/monthly-data.html (accessed May 7th, 2013).
  • 34. USGS. Earthexplorer United States Geological Survey (USGS) http://www.earthexplorer. usgs.gov (accessed May 25th, 2013).
  • 35. Maxwell S.K., Schmidt G.L., Store y J.C. A multiscale segmentation approach to filling gaps in Landsat ETM+ SLC - off images.International Journal of Remote Sensing. 28 (23), 5339, 2007.
  • 36. NASA. The Landsat 7 Handbook, National Aeronautics and Space Administration (NASA), http://landsathandbook.gsfc.nasa.gov (accessed August 1st, 2013).
  • 37. USGS. Landsat Enhanced Thematic Mapper Plus (ETM+), https://lta.cr.usgs.gov/LETMP (accessed August 15th, 2014).
  • 38. EESA, LANDSAT 8 OLI-TIRS. https://earth.esa.int/web/guest/data-access/latest-data-products/-/article/landsat-olitirs-european-coverage, (accessed: September 1st, 2014).
  • 39. Halligan K., Roberts D., Dennison P. VIPER Tools user manual.” Univ. of Calif., Santa Barbara, California. http://www.scribd.com/doc/141164870/VIPER-Tools-User-Manual-v1-5#scribd. 2007 (accessed August 1st, 2013).
  • 40. VIPER Tools. http://www.vipertools.org/?q=content/mesma (accessed May 15th, 2013).
  • 41. Emengini E.J., Ezeh F.C. Chigbu N. Comparative Analysis of Spectral Responses of Varied Plant Species to Oil Stress. International Journal of Scientific & Engineering Research. 4 (6), 2013.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.agro-000577ad-8008-4f3f-b734-b31aa8575d34
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.