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Integration of Remote Sensing, GIS, and Geochemical Data for Delineating Prospective Zones of Lateritic Nickel Deposits in a Mining Area Zulfahmi Zulfahmi; Dwi Yolanda Sumbung
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 2 (2026): Mei-Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i2.8398

Abstract

This study develops an integrated remote sensing, geographic information system (GIS), and geochemical framework for delineating prospective zones of lateritic nickel deposits during early-stage exploration. The research responds to the need for a rapid and spatially consistent method to prioritize drilling targets in tropical ultramafic terrains where subsurface data are commonly limited. Sentinel-2 imagery was processed to derive vegetation, iron oxide, clay mineral, and moisture indicators, while DEM/SRTM and geological data were used to evaluate slope, elevation, lithology, and structural lineaments. A simulated geochemical dataset consisting of Ni, Fe, MgO, SiO2, and Co values from 30 sampling points was integrated with the spatial layers through normalization and weighted overlay analysis. The resulting prospectivity index classified the 2,000 ha study area into low, moderate, high, and very high potential classes. The model identified four prospect zones, with Zone A showing the strongest response, indicated by an average Ni grade of 1.79% and a prospectivity index of 0.78. Zone B was interpreted as a secondary target, whereas Zones C and D require limited or low-priority follow-up. These findings indicate that multisource geospatial and geochemical integration can improve exploration efficiency, reduce interpretation uncertainty, and support systematic target ranking before detailed drilling. The approach remains conceptual and should be validated using actual field measurements, drilling logs, laboratory assays, and objective weighting methods in future applications.
Evaluating the Effectiveness of a Pilot-Scale Subsurface-Flow Constructed Wetland for Reducing Iron, Manganese, and Sulfate in Acid Mine Drainage from Former Coal Mining Areas Zulfahmi Zulfahmi; Hendra Sani; Syamsuddin Syamsuddin
Jurnal IPTEK Bagi Masyarakat Vol 5 No 3 (2026)
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/j-ibm.v5i3.1624

Abstract

Acid mine drainage from former coal mining areas is characterized by low pH and elevated concentrations of dissolved metals and sulfate, which may degrade receiving-water quality and create long-term environmental risk. This study evaluated the effectiveness and applied relevance of a pilot-scale subsurface-flow constructed wetland in improving acid mine drainage quality by increasing pH and reducing iron, manganese, and sulfate. The novelty of the study lies in the integrated use of gravel, sand, limestone, organic support media, and wetland vegetation within a pilot unit designed for post-mining rehabilitation conditions, while assessing pH, Fe, Mn, and sulfate simultaneously as key indicators of treatment performance. A quasi-experimental pretest–posttest approach was used by comparing influent and effluent quality after treatment through the wetland media. The influent had a pH of 3.2, Fe of 12.50 mg/L, Mn of 8.20 mg/L, and sulfate of 420.00 mg/L. After treatment, the effluent pH increased to 6.1, while Fe decreased to 3.40 mg/L, Mn to 2.70 mg/L, and sulfate to 180.00 mg/L. The corresponding removal efficiencies were 72.80% for Fe, 67.07% for Mn, and 57.14% for sulfate. These findings indicate that pilot-scale subsurface-flow constructed wetlands can provide a simple, low-energy, and environmentally compatible option for post-mining water management and may support practical rehabilitation strategies where long-term chemical dosing is difficult to sustain.