PREDICTION OF SOIL EROSION RATE AND WATER QUALITY THROUGH GIS REMOTE SENSING TO SUPPORT NICKEL MINING ENVIRONMENTAL MANAGEMENT

• Main Author: Adiyatma Afrizal, Arya
• Format: Final Project
• Language: Indonesia
• Subjects: Teknik saniter dan perkotaan; teknik perlindungan lingkungan
• Online Access: https://digilib.itb.ac.id/gdl/view/84618
• Institution: Institut Teknologi Bandung

Open-pit mining activities disturb the topsoil and reduce vegetation density, leading to an increased erosion rate. This phenomenon can affect the quality of mine water due to the release of soil particles carried by runoff during rain events. It is crucial to predict the erosion rate and runoff volume for the planning and evaluation of mine water management and treatment. The RUSLE-SDR method is utilized to predict the erosion rate and sediment yield at the catchment area outlet. The obtained erosion rates range from 319.12 tons/year to 1995.94 tons/year. The primary influence on the erosion rate in the study area is topographical conditions, as analyzed through sensitivity testing, with sensitivity percentages for the LS and P factors being 41.67% and 41.18%, respectively. Additionally, the erosion rate contributes to and correlates with TSS and Cr6+ concentrations, with average determination coefficients (R2 ) of 0.173 and 0.716, respectively. The low determination coefficient values are attributed to the fact that TSS measurements are more representative when using load calculations rather than concentration, demonstrated by the increase in R 2 value from TSS load to sediment yield to 0.379. This study is useful for determining appropriate erosion management strategies to reduce the burden on mine water treatment systems and promote sustainable mine water management.