Skip to main content

Advertisement

Log in

Environmental monitory and impact assessment of solid waste dumpsite using multispectral imagery in Yenagoa, Bayelsa state, Nigeria

  • Original Paper
  • Published:
International Journal of Environmental Science and Technology Aims and scope Submit manuscript

Abstract

This research presents a novel approach of using open data multispectral imagery as indicators Normalized Difference Vegetation Index, Land Surface Temperature (LST), Green-Shortwave Infrared index and Soil Adjusted Vegetation Index to monitor and assess the impact of dumpsites on the environment in Yenagoa Metropolis, Bayelsa State Nigeria. The outcome uncovers that the LST at the dumpsites was higher than the immediate environment, and the SAVI, NDVI, and G-SWIR values were lower than the immediate surrounding. The high estimations of LST at the dumpsites portray the impact of gases released as a result of decomposition activities, while low values of SAVI and NDVI show vegetation reaction to soil and groundwater pollution due to leachate invasion, lastly G-SWIR indicates discriminations of moisture content of soil and vegetation in leachate infiltration. The outcome shows correlation is significant with the NDVI and G-SWIR value at each of the dumpsites which indicate indirect relationship R2. NDVI versus G-SWIR = 0.6271, NDVI versus SAVI = 0.9084, these values indicate highly significant correlated in dumpsite reflectance, while SAVI versus G-SWIR = 0.73 is strongly correlated, indicating increase in waste quantity expected to result in high decomposition, gas emissions and contamination in the environment. The selected heavy metals analyzed for river water are lead (Pb), Zinc (Zn), iron (Fe), cadmium (Cd), nickel (Ni) and chromium (Cr6+). Indicated that all the heavy metals in river water are above the detectable limit by WHO 2011 which imply Epie creek is highly polluted and is due to illegal dumpsites present.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+
from $39.99 /Month
  • Starting from 10 chapters or articles per month
  • Access and download chapters and articles from more than 300k books and 2,500 journals
  • Cancel anytime
View plans

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig.13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19

Similar content being viewed by others

Explore related subjects

Discover the latest articles and news from researchers in related subjects, suggested using machine learning.

References

  • Achi H, Adeofun C, Ufoegbune G, Gbadebo A, Oyedepo J (2012) Disposal sites and transport route selection using geographic information system and remote sensing in Abeokuta, Nigeria. Glob J Human-Social Sci Res 12(12):14–23

    Google Scholar 

  • Ahmed SA, Ali M (2004) Partnerships for solid waste management in developing countries: linking theories to realities. Habitat Int 28(3):467–479

    Article  Google Scholar 

  • Akpokodje EU, Etu-Efeotor JO (1987) The occurrence and economic potential of clean sand deposits of the Niger Delta. J African Earth Sci 6:61–65

    CAS  Google Scholar 

  • Alrumman SA, El-kott AF, Kehsk MA (2016) Water pollution: source and treatment. Am J Environ Eng 6(3):88–98

    Google Scholar 

  • Avbovbo AA (1978) Tertiary lithostratigraphy of Niger Delta. AAPG Bull 62:295–300

    Google Scholar 

  • Bashir A, Kevin T, Booker O (2008) sensing for detection and monitoring of vegetation affected by oil spills. Int J Remote Sens 39(11):3628–3645. https://doi.org/10.1080/01431161.2018.1448483

    Article  Google Scholar 

  • Bibi S, Khan RL, Nazir R (2016) Heavy metals in drinking water of LakkiMarwat District, KPK Pakistan. World Appl Sci J 34(1):15–19

    CAS  Google Scholar 

  • Briggs D (2003) Environmental pollution and the global burden of disease. Br med bull 200368:1–24

    Article  Google Scholar 

  • Chen F, Yang S, Yin K, Chan P (2017) Challenges to quantitative applications of Landsat observations for the urban thermal environment. J Environ Sci 59:80–88

    Article  Google Scholar 

  • Das J, Acharya BC (2003) Hydrology and assessment of lotic water quality in Cuttack City, India. Water Air Soil Pollut. 150:163–175. https://doi.org/10.1023/A:1026193514875

    Article  CAS  Google Scholar 

  • Ekeu-wei IT, Azuma KI, Ferdinand BB (2018) Assessment of environmental impact of solid waste dumpsites using remote sensing. Nig J Technol (NIJOTECH) 37(1):275–285. https://doi.org/10.4314/njt.v37i1.36

    Article  Google Scholar 

  • Etu-Efeotor JO (1997) Fundamentals of petroleum geology. Paragraphic publications, Port Harcourt, Nigeria, p 135

    Google Scholar 

  • Guerrero LA, Maas G, Hogland W (2013) Solid waste management challenges for cities in developing countries. Waste Manag 33(1):220–232

    Article  Google Scholar 

  • Herrmann IA, Karnieli DJ, Bonfil YC, Alchanatis V (2010) SWIR-based spectral indices for assessing nitrogen content in potato fields. Int J Remote Sens 31(19):5127–5143. https://doi.org/10.1080/01431160903283892

    Article  Google Scholar 

  • Huete AR (1988) A soil-adjusted vegetation index (SAVI). Remote Sens Environ 25(3):295–309. https://doi.org/10.1016/0034-4257(88)90106-X

    Article  Google Scholar 

  • Huete AR, Hua G, Qi J, Chehbouni A, Van Leeuwen WJD (1992) Normalization of multidirectional Red and NIR reflectances with the SAVI. Remote Sens Environ 41(2–3):143–154. https://doi.org/10.1016/0034-4257(92)90074-T

    Article  Google Scholar 

  • Inyang HI, Hilger H (2013) Molecular and biological techniques used in landfill investigations: a mini review. Biotechnol Mol Biol Rev 8(2):35–42

    Article  Google Scholar 

  • Jianhua X, Tianyu Z, Hao C, Shilong L, Shuangfei W, Guoning C (2019) The assessment on the heavy metal pollution and health risks in the Liujiang River under the Xijiang River region. Desalin Water Treat 149:315–322. https://doi.org/10.5004/dwt.2019.23850

    Article  CAS  Google Scholar 

  • Karnieli A, Kaufman YJ, Remer L, Wald A (2001) AFRI—Aerosol free vegetation index. Remote Sens Environ 77:10–21. https://doi.org/10.1016/S0034-4257(01)00190-0

    Article  Google Scholar 

  • Khan N, Hussain ST, Saboor A (2013) Physiochemical investigation of the drinking water sources from Mardan, Khyber Pakhtunkhwa Pakistan. Int J Phys Sci 8(33):1661–71

    Google Scholar 

  • Kwarteng AY, Al-Enezi A (2004) Assessment of Kuwait’s Al- Qurain landfill using remotely sensed data. J Environ Sci Health Part A 39(2):351–364

    Article  CAS  Google Scholar 

  • NSDWQ (2007) Nigerian standard for drinking water quality. Nigerian Industrial Standard NIS 554, Standard Organization of Nigeria, pp 30

  • Pawari MJ, Gawande S (2015) Ground water pollution and its consequence. Int J Eng Res Gen Sci 3(4):773–76

    Google Scholar 

  • Rajagopalan P, Chuan LK, Jamei E (2014) Urban heat island and wind flow characteristics of a tropical city . Sol Energy 15(16):3587–3620

    Google Scholar 

  • Reyment RA (2018) Ammonitologist sensu latissimo and founder of Cretaceous Research. Cretac Res 88:5–35

    Article  Google Scholar 

  • Rondeaux G, Steven M, Baret F (1996) Optimization of soil-adjusted vegetation indices. Remote Sens Environ 55(2):95–107. https://doi.org/10.1016/0034-4257(95)00186-7

    Article  Google Scholar 

  • Rouse JW, Haas RH, Schell JA, Deering DW (1973) Monitoring the Vernal Advancement and Retrogradation (Green Wave Effect) of Natural Vegetation. Progress Reports RSC, 1978-1 93. Texas A & M University

  • Running SW, Justice CO, Salomonson V, Barker J, Hall D, Kaufmann YJ, Strahler AH (1994) Terrestrial remote sensing science and algorithms planned for EOS/MODIS. Int J Remote Sens 15(17):3587–3620. https://doi.org/10.1080/01431169408954346

    Article  Google Scholar 

  • Sahana M, Ahmed R, Sajjad H (2016) Analyzing land surface temperature distribution in response to land use/land cover change using split window algorithm and spectral radiance model in Sundarban Biosphere Reserve, India. Model Earth Syst Environ 2(2):1–11

    Article  Google Scholar 

  • Sharholy M, Ahmad K, Mahmood G, Trivedi R (2008) Municipal solid waste management in Indian cities–A review. Waste manag 28(2):459–467

    Article  Google Scholar 

  • United nations department of economic and social affairs population division (2012) World Urbanisation Prospects. UNPD, New York

    Google Scholar 

  • World Health Organization (WHO) (2011) Guidelines for drinking-water quality, 4th edn. Geneva: WHO, pp xx, 3, 161–162

  • Yang K, Zhou X, Yan W, Hang D, Steinmann P (2008) Landfills in Jiangsu province, China, and potential threats for public health: leachate appraisal and spatial analysis using geographic information system and remote sensing. Waste Management 28(12):2750–2757

    Article  CAS  Google Scholar 

  • Zhang C, Dong SH (2009) A new water quality assessment model based on projection pursuit technique. J Environ Sci 21:154–157

    Article  Google Scholar 

  • Zhang Y, Odeh IA, Ramadan E (2013) Assessment of land surface temperature in relation to landscape metrics and fractional vegetation cover in an urban/peri-urban region using Landsat data. Int J Remote Sens 34(1):168–189

    Article  Google Scholar 

Download references

Acknowledgements

Thanks, To the Managing Director Geosoft Global Consulting in Niger Delta, Bayelsa State Nigeria for his support in carrying out this research and my team.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to E. D. Rowland.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Editorial responsibility: Mohamed F. Yassin.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Rowland, E.D., Omonefe, F. Environmental monitory and impact assessment of solid waste dumpsite using multispectral imagery in Yenagoa, Bayelsa state, Nigeria. Int. J. Environ. Sci. Technol. 19, 1007–1024 (2022). https://doi.org/10.1007/s13762-021-03456-2

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13762-021-03456-2

Keywords

Profiles

  1. E. D. Rowland