Assessment of air pollution in Calabar using geo-accumulation index

This study investigates the levels of airborne toxic substances in Calabar, Nigeria, using the gravitational settling method to collect airborne particles along with rainwater over a nine-month period, from January to September 2023. The collected sediments underwent spectroscopic analysis to determine concentrations of heavy metals and other toxic substances. The salinity and conductivity of the rainwater samples were also measured. The results were averaged across sub-locations and generalized to represent Calabar, with the geoaccumulation index calculated to assess the degree of contamination. Statistical analysis was performed using MS Excel for computation and graphical presentation of results. The findings revealed that most of the elements, including cadmium, chromium, aluminum, cobalt, copper, iron, zinc, potassium, nitrite, nitrate, fluoride, and sodium, showed no contamination (Class 0), while nickel (Ni) exhibited extremely polluted contamination (Class 6). Lead (Pb) showed moderately to heavily polluted contamination (Class 3), and manganese was heavily contaminated (Class 4). The rainwater samples showed extremely polluted salinity and low conductivity, indicating the presence of dissolved salts and minimal ionization, respectively. These results provide insight into the contamination levels of toxic metals in the environment and the impact of anthropogenic activities in Calabar.

Authors

Publication Details

Journal
World Journal of Advanced Engineering Technology and Sciences
Published
2025-03-27
DOI
https://doi.org/10.30574/wjaets.2025.14.3.0115
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessment of air pollution in Calabar using geo-accumulation index

B. J Ekah, Igwe Ewona, Sunday O. Udo, Akwagiobe J. U
World Journal of Advanced Engineering Technology and Sciences
Air Quality Monitoring and Forecasting
article

Assessment of air pollution in Calabar using geo-accumulation index

B. J Ekah, Igwe Ewona, Sunday O. Udo, Akwagiobe J. U
article en

Abstract

This study investigates the levels of airborne toxic substances in Calabar, Nigeria, using the gravitational settling method to collect airborne particles along with rainwater over a nine-month period, from January to September 2023. The collected sediments underwent spectroscopic analysis to determine concentrations of heavy metals and other toxic substances. The salinity and conductivity of the rainwater samples were also measured. The results were averaged across sub-locations and generalized to represent Calabar, with the geoaccumulation index calculated to assess the degree of contamination. Statistical analysis was performed using MS Excel for computation and graphical presentation of results. The findings revealed that most of the elements, including cadmium, chromium, aluminum, cobalt, copper, iron, zinc, potassium, nitrite, nitrate, fluoride, and sodium, showed no contamination (Class 0), while nickel (Ni) exhibited extremely polluted contamination (Class 6). Lead (Pb) showed moderately to heavily polluted contamination (Class 3), and manganese was heavily contaminated (Class 4). The rainwater samples showed extremely polluted salinity and low conductivity, indicating the presence of dissolved salts and minimal ionization, respectively. These results provide insight into the contamination levels of toxic metals in the environment and the impact of anthropogenic activities in Calabar.

World Journal of Advanced Engineering Technology and SciencesVol. 14(3)
Openalex Percentile: Top 94%
Air Quality Monitoring and Forecasting
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.