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Tytuł artykułu

Assessment of Shoreline and Associated Landuse/Land cover Changes along Part of Lagos Coastline, Nigeria

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The city of Lagos, Nigeria has undergone rapid increase in population due to economic and commercial activities. As a result of this, there has been a persistent change in Land use/Land cover (LULC) of the city and shoreline through the years. This observation necessitated the use of multi-temporal satellite data to characterize shoreline changes between 1984 and 2016. Therefore, the study attempts to determine the shoreline change during the study period and the coastal land use and land cover (LULC) of the study area. Satellite data was acquired and subjected to some image processing techniques such as image enhancement, supervised classification, and shoreline extraction. The digital shoreline analysis system (DSAS) in ArcGIS environment was utilized to cast transects and calculate statistical parameters for the shoreline and spatial data used was Landsat TM, ETM and OLI for the years 1984, 1990, 2000, 2004 and 2016 respectively. The results indicate that LULC changes in built-up areas increases rapidly during the years (1984-2015) from 12.2 -36.2%, water bodies increased from (1984-1990-2000) from 52%, 54%, 52% and reduces to 47.4% in the year 2015 while vegetation cover reduces drastically through the year range from 36%, 33%, 29%, 24% and 16%. A total of 1034 transects were generated with 100m spacing and the average rate of change was calculated for the 32 year period (1984-2016). The linear regression rate (LRR) shoreline result shows a mean of -0.59m/year where 73.1% of transect fall under erosion and 61.8% accretion respectively. The end point rate (EPR) and net shoreline movement (NSM) analysis revealed mean shoreline change of -0.57m/year and -18.1m/period respectively from 1984-2016. The EPR and NSM results both revealed that 231 transect or 22.3% experienced erosion, and 805 transect or 77.9% with accretion. It was observed that significant accretion rate recorded along most sections of the shorelines is attributed to beach nourishment activities.
Wydawca
Rocznik
Strony
59--71
Opis fizyczny
Bibliogr. 25 poz., rys., tab.
Twórcy
  • Department of Remote Sensing and GIS, Federal University of Technology Akure, Ondo State, Nigeria
  • Department of Remote Sensing and GIS, Federal University of Technology Akure, Ondo State, Nigeria
  • Department of Remote Sensing and GIS, Federal University of Technology Akure, Ondo State, Nigeria
Bibliografia
  • Ajayi, T.O and Adetayo. 1982. on the fish bycatch and discard of the shrimp fishery of Nigeria. Nig. Inst. Oceanogr. Mar. Res., Tech. pap. (5): 28p. Lagos, Nigeria
  • Appeaning, K, Addo, Walkden M, Mills, JP (2008) detection, measurement and prediction of shoreline recession in Accra, Ghana. ISSRS Journal of Photogrammetry and Remote sensing 63(5): 543-558
  • Awosika, L.F, Ibe , C.E, Adekoya , A., And Balogun, A. (1991). Monitoring of the 1990/91 Beach Replenishment Project at the Bar Beach, Lagos. A Progress Report for the Federal Ministry Of Works and Housing, Lagos.
  • Berlanga-Robles, C.A., J. Madrid-Vera and A. Ruiz-Luna, 2002.Fish abundance and trophic structure from the commercial catch in lake Patzcuaro, Mexico. Hydrobiologia 467:117-122.
  • Bird, E.C. (1993).Submerging Coasts: The Effects of a Rising Sea Level on Coastal Environments, Wiley, New York.
  • Boak, E.H. and Turner, I.L., 2005. Shoreline Definition and Detection: A Review. Journal of Coastal Research,21(4), 688–703. West Palm Beach (Florida), ISSN 0749-0208.
  • Carter, R. W. G and Woodroffe, C.D. 1994. Eds: Coastal Evolution: Late Quarter Shoreline Morphodynamics. Cambridge University Press, Cambridge, UK.
  • Crowell, M.; Leatherman, S.P., and Buckley, M.K., 1993. Shore line change rate analysis: long term versus short term. Shore and Beach, 61(2), 13–20.
  • Government of Kenya (2010) (a). Shoreline Management Strategy for Kenya, National Environment Management Authority (NEMA), Nairobi. 87 pp.
  • Hanslow, D. J. (2007). Beach Erosion Trend Measurement: A Comparison of Trend Indicators, SI 50 Proceedings of the 9th International Coastal Symposium, 588 – 593. Journal of Coastal Research. Gold Coast, Australia, ISSN 0749.0208.
  • Hoorweg J. and Muthiga N.A. (2009).Advances in Coastal Ecology People, processes and ecosystems in Kenya.(African Studies Collection, vol. 20).2300 RB Leiden. African Studies Centre.
  • Kairu, K. and Nyandwi, N. (2000) Guidelines for the Study of Shoreline Change in the Western Indian Ocean Region IOC Manuals and Guides No. 40. UNESCO 2000.
  • Keqizhang, Bruce C. Douglas, and Stephen P. Leatherman. (2004). Global warming and Coastal
  • Erosion. Climatic Change 64: 41–58. Kluwer Academic Publishers. The Netherlands
  • Limber, P. W, List, J.H, Warren, J. D. (2007). Investigating Methods of Mean High Water
  • Shorelines from Lidar Data and the Relationship between Photo-derived and Datum-based Shoreline in North Carolina. http://dcm3.enr.state.nc.us/.
  • Moore, L.J.; Benumof, B.T., and Griggs, G.B., 1999. Coastal erosion hazards in Santa Cruz and San Diego. Journal of Coastal Research, Special Issue No. 28, pp. 121–139.
  • Norman Kerle; Lucas L.F Janssen., and Wim H. Bakker. (2004): Principles of remote sensing: an introductory textbook. Ed: International institute for Geo-information Science and Earth Observation (ITC) pg. 103
  • Paterson, S.K. O’Donnell, A. Loomis, D.K. and Hom, P. (2010). The Social and Economic Effects of Shoreline Change: North Atlantic, South Atlantic, Gulf of Mexico, and Great Lakes Regional Overview. Human Dimensions of Natural Resource Management Research Unit Department of Natural Resources Conservation University of Massachusetts, Amherst, MA 01003.
  • Pearson, C.L., Manning, S.W., Coleman, M.L., Jarvis, K.E., 2005. Can tree-ring chemistry reveal absolute dates for past volcanic eruptions? Journal of Archaeological Science 32, 1265–1274.
  • Pidwirny M. (2006b). Fundamentals of physical geography. Chapter 10: Introduction to the Lithosphere: Erosion and deposition. University of British Columbia, Okanagan.
  • Richmond, B. M., (2012). National Assessment of Shoreline Change: Historical Change in the Hawaiian Island: U.S. Geological Survey Open-File Report 2011-1051, 55pp. (Available at http://pubs.-usgs.gov/of/2011/1051).
  • WIOMSA (2010). Shoreline Change in Tanzania andKenya: Assessment Procedures and Mitigation Strategies for Management. WIOMSA Manuals No.00. Zanzibar.
  • Thieler, E. R. Himmelstoss, E. A. Zichichi, J. L. and Ayhan, E. (2009).Digital Shoreline Analysis System (DSAS) version 4.3. An ArcGIS extension for calculating shoreline change: U.S. Geological Survey Open-File Report 2008-1278. Available online at: http://pubs.usgs.gov/of/2008/1278
  • Williams, S.J. and Gutierrez, B.T. (2009). Sea-level rise and coastal change: Causes and implicationsfor the future of coasts and low-lying regions. U. S.Geological Survey Woods Hole Science Center.Shore & Beach Vol. 77, No. 4. http://earthexplorer.usgs.gov/
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-fdd66c63-d8e9-4a93-a2eb-a5889e12fb99
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