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International Journal of Research and Scientific Innovation (IJRSI)

Soils Quality Assessment in Kambele Gold Mining Area using Multivariate Statistical Analysis Approach

bySOP TAMO Berthelot; MEFOMDJO FOTIE Blanche; OTIA KAKWOUN Yvette; TARKWA Jean Baptiste; TCHUIKOUA Louis Bernard; MAMBOU NGUEYEP Luc Leroy

Published June 29, 2026  •  Vol. 13, Issue 6, pp. 2367–2409Open Access
DOI: 10.51244/IJRSI.2026.1306000175

Abstract

This study assesses soil quality in the Kambele gold mining area (Eastern Cameroon) through integrated physico-chemical characterization, pollution index calculation, multivariate statistical analysis, and spatial mapping. Thirty surface soil samples (0-5 cm depth) were collected in June 2021 using systematic random sampling across the 30 km² study area. Physico-chemical parameters (pH, electrical conductivity, organic matter, moisture content) and heavy metal concentrations (Cr, Ni, Cu, Zn, Pb, Fe, Mn, As) were determined using XRF spectrometry (Skyray EDX POCKET III). Results reveal acidic soils (pH 5.12-6.22) with elevated electrical conductivity (96-416 μS/cm) and variable organic matter (0.30-1.42%). Heavy metal concentrations show significant contamination exceeding WHO guidelines for Pb (max 114 ppm), Cu (485 ppm), Ni (655 ppm), As (60 ppm), and Fe (121,611 ppm). Comprehensive pollution assessment using 15 indices (EF, Igeo, CF, PI, PLI, PIVector, MEC, CSI, Cdeg, Nemerow, Potential Ecological Risk, ExF, mCd) indicates moderate to extreme contamination, with Cu and Ni showing the highest enrichment. Principal Component Analysis (PCA) explains 72.83% of total variance, identifying three contamination sources : natural pedogeochemical background (PC1 : 49.93%), mining-related inputs (PC2: 22.90%), and mixed anthropogenic sources (PC3: 12.07%). Spatial kriging maps reveal heterogeneous contamination patterns with identified hotspots at Djengou washing station (E28) and site E8. Human health risk assessment indicates non-carcinogenic hazard indices exceeding USEPA thresholds for children (HI > 1) at multiple locations, primarily driven by As, Pb, and Cu exposure. These findings underscore the urgent need for targeted remediation strategies, including phytoremediation for moderately contaminated areas, soil amendments for pH adjustment, and containment measures for severe hotspots. This study provides the first comprehensive environmental baseline for Kambele, supporting evidence-based policy interventions and community health protection measures.

Keywords: Mining exploitation, soils, contamination, pollution, heavy metals, health risk assessment, spatial analysis

JournalInternational Journal of Research and Scientific Innovation (IJRSI)
ISSN2321-2705
Volume / IssueVolume 13, Issue 6
Pages2367–2409
Publication dateJune 29, 2026
DOI10.51244/IJRSI.2026.1306000175
PublisherRSIS International
LicenseOpen Access

How to cite this article

SOP TAMO Berthelot, MEFOMDJO FOTIE Blanche, OTIA KAKWOUN Yvette, TARKWA Jean Baptiste, TCHUIKOUA Louis Bernard, & MAMBOU NGUEYEP Luc Leroy (2026). Soils Quality Assessment in Kambele Gold Mining Area using Multivariate Statistical Analysis Approach. International Journal of Research and Scientific Innovation (IJRSI), 13(6), 2367-2409. https://doi.org/10.51244/IJRSI.2026.1306000175

BibTeX

@article{SOP2026,
  title   = {Soils Quality Assessment in Kambele Gold Mining Area using Multivariate Statistical Analysis Approach},
  author  = {SOP TAMO Berthelot and MEFOMDJO FOTIE Blanche and OTIA KAKWOUN Yvette and TARKWA Jean Baptiste and TCHUIKOUA Louis Bernard and MAMBOU NGUEYEP Luc Leroy},
  journal = {International Journal of Research and Scientific Innovation (IJRSI)},
  volume  = {13},
  number  = {6},
  pages   = {2367--2409},
  year    = {2026},
  doi     = {10.51244/IJRSI.2026.1306000175},
  publisher = {RSIS International}
}