Water-quality assessment and spatial distribution of water-quality parameters of Dodoma Urban, Tanzania

Water-quality assessment and spatial distribution of water-quality parameters of Dodoma Urban, Tanzania

The study was conducted in 2022 in shallow wells and deep boreholes owned by residents, to investigate the water quality status in the emerging developing area of Dodoma Urban municipality in central Tanzania. Eighteen boreholes and five shallow wells were assessed using the water quality index (WQI...

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Bibliographic Details
Published in:African journal of aquatic science Vol. 49; no. 2; pp. 95 - 105
Main Authors: Mdee, OJ, Mndolwa, B, Sadiki, N
Format: Journal Article
Language:English
Published: Grahamstown Taylor & Francis 21-06-2024
Taylor & Francis Ltd
Subjects:
Boreholes
Correlation coefficient
Correlation coefficients
groundwater
Heavy metals
inverse distance weighting
Nitrates
Parameters
physico-chemical parameters
Physicochemical processes
Quality assessment
Quality control
Shallow wells
Similarity
Spatial distribution
Threshold limits
Water analysis
Water quality
water quality index
Water sampling
Water treatment
Tanzania
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Summary:The study was conducted in 2022 in shallow wells and deep boreholes owned by residents, to investigate the water quality status in the emerging developing area of Dodoma Urban municipality in central Tanzania. Eighteen boreholes and five shallow wells were assessed using the water quality index (WQI), the inverse distance weighting (IDW) method under the ArcGIS environment, and the Euclidean similarity index. The WQI classified the water samples into a good category class with a covered area of 42.5% and an excellent category class with a covered area of 57.5%, indicating that most of the deep boreholes and shallow wells were suitable for residential purposes. The IDW revealed the spatial distribution of the physico-chemical parameters and WQI, indicating that water quality improved from west to east within the study area. Yet, the Euclidean similarity index was dominated by nitrates, pH and heavy metals, with the highest correlation coefficients. Despite the WQI being above the average class, water treatment technologies should be practiced to lower those values of physico-chemical parameters existing above the threshold limits.
ISSN:1608-5914
1727-9364
DOI:10.2989/16085914.2024.2313730