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Journal of Environmental Science and Technology
  Year: 2021 | Volume: 14 | Issue: 1 | Page No.: 42-47
DOI: 10.3923/jest.2021.42.47
 
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Spatial Patterns of the Fecal Contaminations Index in Yenagoa Metropolis, Bayelsa State, Nigeria

Ebenezer Amawulu and Ben H.I. Bunsen

Abstract:
Background and Objective: The several health challenges of humans in most communities are traceable to the state of the community environmental unhealthiness. The several environmental health issues and disease profiles among local settlement in Yenagoa metropolis has become so worrisome. This study was undertaken to map, identify and analyze the distribution of faecal contamination index within the metropolitan Yenagoa. Materials and Methods: Ten Communities, Amarata, Biogbolo, Ekeki, Kpansia, Okaka, Okutukutu, Onopa, Swali, Yenezue-Epie and Yenezue-Gene were randomly selected. The coordinates of each of the communities and the faecal contamination sites were recorded using the map and location Application on an Android phone. In each site, three faecal contamination indexes, open site, waste dump site and leaking septic tanks were physically identified and mapped. The faecal contamination index was counted in a map grid and the frequency was calculated. Results: From the result, forty-one standpoints in twenty-six sites of the 10 communities had one of the three sources of faecal contamination. Dumpsites (56.1%) were more predominant than open sites (17.1%) and leak septic sites (19.5%), respectively. The spatial analysis by count cell method was calculated using Variance- Mean Ratio (VMR). The VMR was calculated to be 1.70. Conclusion: This showed that the distribution pattern of the faecal contamination index was even, regular and uniform. This is an indication that the disease pattern associated with faecal contamination may spread uniformly across the living homes in the study communities.
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How to cite this article:

Ebenezer Amawulu and Ben H.I. Bunsen, 2021. Spatial Patterns of the Fecal Contaminations Index in Yenagoa Metropolis, Bayelsa State, Nigeria. Journal of Environmental Science and Technology, 14: 42-47.

DOI: 10.3923/jest.2021.42.47

URL: https://scialert.net/abstract/?doi=jest.2021.42.47

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