Landuse and surface water quality in an emerging urban city View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03

AUTHORS

Olutoyin Adeola Fashae, Hannah Abiola Ayorinde, Adeyemi Oludapo Olusola, Rotimi Oluseyi Obateru

ABSTRACT

The study analyzed the impact of landuse types on surface water quality in an emerging urban city. The objectives were to classify the existing landuse types, examine the variation in water quality across different landuse types, examine the quality of surface water using the water quality index, and compare the water quality parameters with the World Health Organization (WHO) standards. Samples drawn from surface waters were analyzed based on in situ and ex situ analysis according to standard methods. Three landuse types were identified namely residential, vegetated and commercial. The vegetated landuse accounted for the highest landuse type with 74% of land coverage. One-way analysis of variance was used to determine the variation in water quality parameters within each landuse type. There was a significant variation in total solids (F = 8.677, P < 0.05), total dissolved solids (F = 7.836, P < 0.05), and total suspended solids (F = 10.365, P < 0.05). Using the water quality index calculator 1.0, a value of 41 was obtained thereby indicating poor quality. Water quality parameters were compared with World Health Organization (WHO) standards, and it was observed that electrical conductivity, nitrate, phosphate, sulfate, chloride were below WHO permissible limit while total dissolved solids, bacterial load and total solids were above the limit set by WHO. Therefore, there should be a continual intensive water quality monitoring program of surface waters across the area and its immediate environs to maintain healthy lifestyle of the populace and ensure ecosystem balance. More... »

PAGES

25

Journal

TITLE

Applied Water Science

ISSUE

2

VOLUME

9

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s13201-019-0903-2

DOI

http://dx.doi.org/10.1007/s13201-019-0903-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111935064


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