Determination and modeling of heavy metal concentrations in river Rutu and Doma dam in Doma LGA, Nasarawa state

River Rutu and Doma dam in Doma LGA of Nasarawa state were analyzed for their physicochemical parameters and heavy metal concentrations. This was to ascertain the level of contamination and develop models for predictive purposes. Water samples were collected from each river in dry season twice (January & March) and same in the wet season (July & August). Physicochemical analyses were obtained using standard procedures while heavy metal concentrations were obtained using Atomic absorption spectrophotometer (AAS). Results showed that all physicochemical parameters analyzed were below the maximum tolerable limit by Nigerian Standard for Drinking Water Quality and the World Health Organization. Heavy metals analysed showed a general increase in concentration in the dry season with the exception of copper which showed a high concentration in the wet season in both study areas. Ni concentration in river Rutu was low and was not detected in Doma dam in the dry season. Data from physicochemical parameters and concentrations of respective heavy metals were inputted into the Minitab 18 statistical computer software for model development. The models developed for each heavy metal, Pb, Zn; Fe; Cu; Co; Cr and Mn were all multivariate in nature and noted to be statistically reliable at 95 % confidence limit. R2 values for all the models ranged from 65 to 98 %, implying that the developed models can be relied on in predicting the concentration of the respective heavy metals by measuring the physicochemical parameters and evaluating using each model.

Authors

Institutions

Publication Details

Journal
FULAFIA IAC Book of Proceedings 2024
Published
2024-08-31
DOI
https://doi.org/10.62050/faic2024.bop24.001
Primary Topic
Water Quality and Pollution Assessment
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Determination and modeling of heavy metal concentrations in river Rutu and Doma dam in Doma LGA, Nasarawa state

Timothy M. Akpomie, U. A. Augustine, Jude Chinedu Onwuka, Peter G. Nmagbo
FULAFIA IAC Book of Proceedings 2024
Water Quality and Pollution Assessment
article

Determination and modeling of heavy metal concentrations in river Rutu and Doma dam in Doma LGA, Nasarawa state

Timothy M. Akpomie, U. A. Augustine, Jude Chinedu Onwuka, Peter G. Nmagbo
article en

Abstract

River Rutu and Doma dam in Doma LGA of Nasarawa state were analyzed for their physicochemical parameters and heavy metal concentrations. This was to ascertain the level of contamination and develop models for predictive purposes. Water samples were collected from each river in dry season twice (January & March) and same in the wet season (July & August). Physicochemical analyses were obtained using standard procedures while heavy metal concentrations were obtained using Atomic absorption spectrophotometer (AAS). Results showed that all physicochemical parameters analyzed were below the maximum tolerable limit by Nigerian Standard for Drinking Water Quality and the World Health Organization. Heavy metals analysed showed a general increase in concentration in the dry season with the exception of copper which showed a high concentration in the wet season in both study areas. Ni concentration in river Rutu was low and was not detected in Doma dam in the dry season. Data from physicochemical parameters and concentrations of respective heavy metals were inputted into the Minitab 18 statistical computer software for model development. The models developed for each heavy metal, Pb, Zn; Fe; Cu; Co; Cr and Mn were all multivariate in nature and noted to be statistically reliable at 95 % confidence limit. R2 values for all the models ranged from 65 to 98 %, implying that the developed models can be relied on in predicting the concentration of the respective heavy metals by measuring the physicochemical parameters and evaluating using each model.

FULAFIA IAC Book of Proceedings 2024
Federal University of Technology Owerri (NG), Federal University Lafia (NG)
Tertiary Education Trust Fund
Openalex Percentile: Top 72%
Water Quality and Pollution Assessment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.