219
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      scite_
       
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Assessment of Spatio-Temporal Variation of Aerosol and Its Relationship Between Landuse-Landcover at Apapa, Lagos Using Gis and Remote Sensing Techniques.

      Preprint
      In review
      research-article
      Bookmark

            Abstract

            The spatiotemporal variation of aerosols which as a result of their short lifetime and other influencing factors makes the measurement of their state in the atmosphere a bit difficult. The conventional methods of ground stations are not adequate, hence, the use of remote sensing techniques in collection of data. This study adopted the blurring effect technique in assessing the aerosol variation for three static years (1984, 2000 and 2016) using the Landsat images. The change in land use land cover for the 3 years was determined; built-up, bare-surface, waterbody and wetland being the classes. Between 1984 to 2016, every class except for built-up areas recorded a negative change, built-up increased by 13.70% from its base year. Bare-surface recorded a negative change of 49.65% from its base year. The Aerosol Optical Depth values recorded for the different years were generally high across the area. The maximum values for 1984, 2000 and 2016 were 1.32, 1.15 and 1.28 respectively and the minimum values were 0.27, 1.05 and 1.13 respectively. The values recorded over the different land cover showed that there was no particular order or difference for year 1984 and 2000 while there was slight difference between values recorded over wetland and bare-surface for the year 2016. The transportation of aerosols strongly influenced the variation across space. The study concluded that there are possibilities of air quality and visibility challenges, it further recommended that constant monitoring of the environment and future research on characterization and source appointment be embarked upon.

            Content

            Author and article information

            Journal
            ScienceOpen Preprints
            ScienceOpen
            10 October 2022
            Affiliations
            [1 ] Department of Geography, University of Lagos, Akoka, Yaba, Lagos, Nigeria
            Author notes
            Author information
            https://orcid.org/0000-0001-9492-9563
            Article
            10.14293/S2199-1006.1.SOR-.PPSKTUY.v1
            2296b831-81d7-464b-bd19-f3bf4b03c88c

            This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

            History
            : 10 October 2022

            The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
            Earth & Environmental sciences,Geosciences
            Aerosols, Aerosol Optical Depth (AOD), Particulate Matter, Landuse-Landcover, GIS, Remote Sensing

            References

            1. Lee Kwon H., Li Zhanqing, Kim Young J., Kokhanovsky Alexander. Atmospheric Aerosol Monitoring from Satellite Observations: A History of Three DecadesAtmospheric and Biological Environmental Monitoring. p. 13–38. 2009. Springer Netherlands. [Cross Ref]

            2. Akinfolarin Oladapo M, Boisa Ndokiari, Obunwo Charles C. Assessment of Particulate Matter-Based Air Quality Index in Port Harcourt, Nigeria. Journal of Environmental Analytical Chemistry. Vol. 04(04)2017. OMICS Publishing Group. [Cross Ref]

            3. Barry Roger G., Chorley Richard J. Atmosphere, Weather and Climate. 2009. Routledge. [Cross Ref]

            4. SIFAKIS N. I. Quantitative mapping of air pollution density using Earth observations: a new processing method and application to an urban area. International Journal of Remote Sensing. Vol. 19(17):3289–3300. 1998. Informa UK Limited. [Cross Ref]

            Comments

            Comment on this article