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Journal : LIMNOTEK

Assessment of Soil Loss Using RUSLE Method in Mrica Reservoir Catchment, Central Java, Indonesia Cantik, Bella Koes Paulina; Ramon Putra; Elenora Gita Alamanda Sapan; Djoko Legono; Kisindi Nur Afifah
LIMNOTEK Perairan Darat Tropis di Indonesia Vol. 29 No. 2 (2023)
Publisher : BRIN Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/limnotek.2023.2210

Abstract

The Indonesian government has identified the Serayu Watershed as a priority area for restoration within the National Mid-Term Development Plan. One of the significant challenges in this region is the high level of soil erosion, which threatens the overall ecosystem. This study aims to estimate the amount of soil loss in the Mrica Catchment using the Revised Universal Soil Loss Equation (RUSLE) Method. Various data sources were utilized, including soil type, rainfall, land cover, Digital Elevation Model, and conservation data. Geographic Information System (GIS) techniques were employed to calculate the critical factors required by the RUSLE Method, including soil erodibility (K), rainfall erosivity (Ri), slope length and steepness factor (LS), and cover management and conservation factor (CP). This research provides critical information for land management in Mrica Catchment. These factors were used to estimate soil loss in the Mrica Catchment, revealing a range between 62,553 tons per year (t/y) and 21,323,311 t/y, with an average value of 443.90 ton per hectare per year (t/ha/y). These results indicate high erosion potential based on the Classification of Erosion Hazard (HER). This study provides critical information for land management and offers suggestions for devising effective strategies to mitigate sedimentation impact in the Serayu Watershed. The highest soil loss values according to the RUSLE Method, both under the Environmental and Management Variable, are observed in the same location, namely, in the north of Mrica Catchment. The findings emphasize the urgent need for erosion control measures and sustainable land management practices in this priority restoration area.
Integrated Field Theoretical Evaluation of Sediment Pond Efficiency in a Tropical Mining Catchment Cantik, Bella Koes Paulina; Sapan, Elenora Gita Alamanda; Putra, Ramon; Martin, Belly; Kevin, Josh
LIMNOTEK Perairan Darat Tropis di Indonesia Vol. 31 No. 2 (2025)
Publisher : BRIN Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/limnotek.2025.13506

Abstract

Sediment ponds in coal mining operations serve as critical infrastructure for wastewater management. A major challenge in their operation is excessive sediment accumulation, which is often difficult to anticipate accurately, especially when relying solely on theoretical calculations. Such circumstances highlight the importance of an approach that is not solely theoretical, but also considers the actual dynamics observed in the field. The coal mining sediment pond examined in this study was initially constructed to accommodate a catchment area of 205 Ha, with a useful life of 10 years. However, the pond has reached full capacity in less than five years, 53% earlier than expected, indicating the need for re-evaluation, especially as the catchment area is planned to expand to 885 Ha. This study aims to evaluate, compare, and recalculate the sediment pond’s capacity under expanded catchment conditions (885 Ha), by integrating field-based measurements and theoretical sediment yield methods to produce a more representative design. The methods employed include the Revised Universal Soil Loss Equation (RUSLE), Lane & Kalinske’s Approach, Einstein’s Approach, Brook’s Approach, and Chang, Simons, and Richardson’s Approach. RUSLE utilizes secondary data, while the other methods incorporate both primary and secondary data. The results show a wide range of sediment transport estimates, from 20,184 m3 using Einstein’sto 507,075 m3 using Chang’s. Among the evaluated methods, Lane and Kalinske, as well as Brook, produced sediment volume estimates that closely matched field-based measurements, making them suitable for field conditions. RUSLE produced a lower-bound estimate, while Einstein and Chang’s method deviated significantly from the observed range. These findings underscore the importance of integrating field measurements with theoretical models to enhance the reliability of sediment-yield estimation and support informed decision-making in sediment pond.