Analysis of Soil Erosion on Mine Area

Ramli, Muhammad Isran; Purwanto, Purwanto; Thamrin, Meinarni; Maemuna,; Asrafil, M.

doi:10.1088/1757-899x/875/1/012052

Cited by 7 publications

(4 citation statements)

References 1 publication

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“…However, this activity generates changes in the morphology and structure of the landscape, altering the natural conditions of the area and directly and indirectly influencing the conditions of its closest environment. It has environmental impacts, such as loss and pollution of soils, vegetation cover, erosion, unstable slopes, detachments of loose material, and alteration of the flow of groundwater and surface water, among others [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Relief Modeling in the Restoration of Extractive Activities Using Drone Imagery

Russell

Padró

Montero

et al. 2023

Sensors

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In the field of mine engineering, a cross-section topographic survey is usually carried out to perform volumetric calculations of earth movement in order to restore areas affected by extractive activities. Nowadays, Remote Sensing and Geographical Information System (GIS) technologies make it possible to perform the same work by using indirect methods such as images obtained by photogrammetric flights. In this context, Unmanned Aerial Systems (UAS) are considered a very convenient option to develop mapping projects in short periods of time and to provide quality geospatial information such as Digital Elevation Models (DEM) and orthophotos of centimetric spatial resolution. In the present study, this approach has been applied in a gravel extraction area to obtain data for estimating the filling volume of material required for the restoration of the relief (DEM(r)). The estimation of the DEM(r) is later used to calculate a difference of height values (DEM(r)-DEM) that will serve as a variable in the basic operation of volume calculation. The novelty of the presented method is the simulation of a relief adapted to the surrounding morphology, including the derived channel network and the visibility impact, improving what would be a simple clogging. Likewise, the generation of 3D models allows visualizing a new morphological structure of the relief. The proposed approach, based on GIS tools, allows analyzing water flow connectivity integration of the DEM(r) with the environment and estimating potential landscape impacts from the main focuses of a visual basin, both of which are key aspects of restoration modeling that are not always properly addressed.

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Section: Introductionmentioning

confidence: 99%

Relief Modeling in the Restoration of Extractive Activities Using Drone Imagery

Russell

Padró

Montero

et al. 2023

Sensors

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“…USLE is a conservation tool generally accepted and widely used in various kinds of research regarding soil management. It includes the estimation of erosion for land use (Okorafor et al, 2018), upland erosion (Almasalmeh et al, 2021;National Institute of Hydrology, 2017), specific sediment yield (Rajbanshi and Bhattacharya, 2020), erosion patterns (Pijl et al, 2020), as well as estimating soil erosion in mining (Ramli et al, 2020). This model and its subsequent Revised (RUSLE) and Modified (MUSLE) variants are commonly used worldwide, with a significant number of developed models (Aksoy et al, 2019;Hajigholizadeh et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Examining Soil Erodibility, Soil pH, and Heavy Metal Accumulation in a Nickel Ore Mine: A Case Study in Tubay, Agusan del Norte, Philippines

Capilitan,

Balbin,

Tabañag

et al. 2023

Environ. Nat. Resour. J.

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Mining activity always presents threats to soil and water pollution. As an extractive industry, it disturbs the ground and the biodiversity associated with soil and plants. Its operations have led to severe geological and environmental problems, including the depletion of land and water resources, geological dangers, and ecological landscape devastation that may have accelerated the desertification of mining areas. This case study analyzed the soil’s physical and chemical properties in a nickel laterite mine, including soil erodibility K factor, soil pH, and heavy metal accumulation, as a basis for establishing mine management protocol during and post-mining operations in Tubay, Agusan del Norte, Philippines. Results determined a slightly alkaline pH level. An estimate of soil erodibility ranging from 0.016 to 0.066 was determined using the USLE-K factor, with the highest erodibility at Mine 7, where % silt is high and % sand is lowest. X-ray fluorescence (XRF) spectroscopy was used to analyze soil samples. The findings show that Ni, Fe, Co, and Mn in the soil were above the WHO-permitted limits. The surface soil had mean values of 9,239 ppm for nickel, 302,618 ppm for iron, 639 ppm for cobalt, and 5,203 for manganese. Heavy metals in soil may be consumed by crops and pollute land and water.

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“…Post‐mining operations result in a steep slope surface, which is prone to erosion or landslides in the worst‐case scenarios (Gupta et al, 2019; Ramli et al, 2020; Shi et al, 2022). Proper revegetation technology and plant species are required to complete the reclamation of steep slopes.…”

Section: Introductionmentioning

confidence: 99%

Possibility of spatial estimation of soil erosion using Revised Universal Soil Loss Equation model and generalized additive model in post‐hard coal mining spoil heap

Singh,

Klamerus‐Iwan,

Hawryło

et al. 2023

Land Degrad Dev

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Revegetation and plant cover establishment on coal mining heap areas are effective methods for reducing runoff and soil erosion. They are essential components for reestablishing ecosystems in ecologically vulnerable areas. Our study area covered the Upper Silesia coal region. The research focused on active and passive reclamation plots of the study area with different land covers, that is, woodland, grassland, forbland, and control plots. This study aimed to evaluate the spatial allotment of soil erosion in various reclamation techniques and land covers of a mining area using a combination of the Revised Universal Soil Loss Equation (RUSLE) model, geographic information systems, and regression modeling with generalized additive models. We demonstrated that the combination of different data analysis methods can be used to accurately predict soil degradation, even if not all factors used in the RUSLE model are wall‐to‐wall available. However, only sheet and rill erosions can be predicted using this model. The results demonstrated the spread of soil erosion over the post‐coal mining heaps, varying from 0.03 Mg/ha/year to 583.47 Mg/ha/year. The highest soil erosion rate was observed at the control site (bare rock without vegetation). Approximately 62.6% of the region remained in the safe zone, whereas approximately 1.4% of the area was classified as a very severe zone for erosion.

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Analysis of Soil Erosion on Mine Area

Cited by 7 publications

References 1 publication

Relief Modeling in the Restoration of Extractive Activities Using Drone Imagery

Relief Modeling in the Restoration of Extractive Activities Using Drone Imagery

Examining Soil Erodibility, Soil pH, and Heavy Metal Accumulation in a Nickel Ore Mine: A Case Study in Tubay, Agusan del Norte, Philippines

Possibility of spatial estimation of soil erosion using Revised Universal Soil Loss Equation model and generalized additive model in post‐hard coal mining spoil heap

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