Spatial Modeling of Tailings-Associated Metal(loid)s and Surface-Water Quality in the Ajkwa River Basin, Mimika Regency, Central Papua, Indonesia

Large-scale copper-gold mining in Mimika generates tailings that interact with the Ajkwa River system and may influence aquatic geochemistry. This study integrated paired water-sediment sampling, laboratory metal(loid) analysis, censor-aware interpretation of non-detect water data, and spatial modeling to characterize environmental patterns along the Ajkwa River corridor. Twenty paired surface-water and sediment samples were collected at identical coordinates. In-situ pH and dissolved oxygen (DO) were measured, while Cu, As, and Hg in water were analyzed by atomic absorption spectrometry (AAS), and sediment Cu and As by X-ray fluorescence (XRF). Water pH ranged from 7.49 to 7.78, and DO from 5.41 to 6.59 mg L−1. All water-phase Cu, As, and Hg concentrations were below laboratory reporting limits, which did not exceed the relevant Class III/IV river-water criteria of Indonesian Government Regulation No. 22/2021. However, non-detect results should not be interpreted as zero concentrations. Sediment Cu ranged from 805.74 to 1,644.79 mg kg−1, while As ranged from 104.62 to 471.55 mg kg−1, with peaks at S07 and S09, respectively. Leave-one-out cross-validation of inverse distance weighting produced R² values of 0.391 for Cu and 0.965 for As, indicating greater spatial stability for As. All sediment Cu and As concentrations exceeded consensus probable-effect concentrations, although these benchmarks are non-regulatory. Overall, the findings reveal a strong contrast between low or non-quantifiable water-phase concentrations and pronounced sediment geochemical signals, supporting sediment-focused monitoring and validated spatial assessment in the Ajkwa River Basin.

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Publication Details

Journal
Jurnal Riset Teknologi Pencegahan Pencemaran Industri
Published
2026-11-03
DOI
https://doi.org/10.21771/jrtppi.2026.v17.no2.p64-71
Primary Topic
Heavy metals in environment
Type
article
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article

Spatial Modeling of Tailings-Associated Metal(loid)s and Surface-Water Quality in the Ajkwa River Basin, Mimika Regency, Central Papua, Indonesia

Obed Patiung, Abd Rahim, Mapuay Menasye Theo Afasedanya
Jurnal Riset Teknologi Pencegahan Pencemaran Industri
Heavy metals in environment
article

Spatial Modeling of Tailings-Associated Metal(loid)s and Surface-Water Quality in the Ajkwa River Basin, Mimika Regency, Central Papua, Indonesia

Obed Patiung, Abd Rahim, Mapuay Menasye Theo Afasedanya
article en

Abstract

Large-scale copper-gold mining in Mimika generates tailings that interact with the Ajkwa River system and may influence aquatic geochemistry. This study integrated paired water-sediment sampling, laboratory metal(loid) analysis, censor-aware interpretation of non-detect water data, and spatial modeling to characterize environmental patterns along the Ajkwa River corridor. Twenty paired surface-water and sediment samples were collected at identical coordinates. In-situ pH and dissolved oxygen (DO) were measured, while Cu, As, and Hg in water were analyzed by atomic absorption spectrometry (AAS), and sediment Cu and As by X-ray fluorescence (XRF). Water pH ranged from 7.49 to 7.78, and DO from 5.41 to 6.59 mg L−1. All water-phase Cu, As, and Hg concentrations were below laboratory reporting limits, which did not exceed the relevant Class III/IV river-water criteria of Indonesian Government Regulation No. 22/2021. However, non-detect results should not be interpreted as zero concentrations. Sediment Cu ranged from 805.74 to 1,644.79 mg kg−1, while As ranged from 104.62 to 471.55 mg kg−1, with peaks at S07 and S09, respectively. Leave-one-out cross-validation of inverse distance weighting produced R² values of 0.391 for Cu and 0.965 for As, indicating greater spatial stability for As. All sediment Cu and As concentrations exceeded consensus probable-effect concentrations, although these benchmarks are non-regulatory. Overall, the findings reveal a strong contrast between low or non-quantifiable water-phase concentrations and pronounced sediment geochemical signals, supporting sediment-focused monitoring and validated spatial assessment in the Ajkwa River Basin.

Jurnal Riset Teknologi Pencegahan Pencemaran IndustriVol. 17(2)
Politeknik Amamapare (ID)
Openalex Percentile: Top 27%
Heavy metals in environment
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