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Journal of Degraded and Mining Lands Management
Published by Universitas Brawijaya
ISSN : 2339076X     EISSN : 25022458     DOI : -
Core Subject : Science, Agriculture,
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology
Journal of Degraded and Mining Lands Management is managed by the International Research Centre for the Management of Degraded and Mining Lands (IRC-MEDMIND), research collaboration between Brawijaya University, Mataram University, Massey University, and Institute of Geochemistry, Chinese Academy of Sciences-China Papers dealing with result of original research, and critical reviews on aspects directed to the management of degraded and mining lands covering topography of a landscape, soil and water quality, biogeochemistry, ecosystem structure and function, and environmental, economic, social and health impacts are welcome with no page charge
Arjuna Subject : -
Articles 540 Documents
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Status of groundwater and river water quality around the location of illegal gold mining activities in Lantung District, Sumbawa Kevin Philips Barakati; Tjahyo Nugroho Adji; Noorhadi Rahardjo
Journal of Degraded and Mining Lands Management Vol 10, No 3 (2023)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2023.103.4433

Abstract

The Lantung area is one of the places on Sumbawa Island with a large gold deposit. One of the activities of the Lantung people that has the potential to damage the environment is separating gold from mercury. This study aimed to examine the activity of the gold laundering process, and the level of contamination of groundwater and river water due to gold processing from amalgamation by mercury (Hg+) waste. In this study, sampling was carried out for each location, namely two samples of wastewater, six samples of river water, and two samples of groundwater, which were then tested in the laboratory on the parameters of mercury and TSS. At the same time, pH was measured in the field. Furthermore, from the survey results, it was found that the use of mercury was ±150-250 mL at each gold processing location. The results showed that all samples from wastewater (tailings), groundwater and river water were contaminated with mercury with levels exceeding the acceptable quality standards. Furthermore, the status of water quality using the Pollution Index (IP) method shows that wastewater is light to moderately polluted, groundwater is lightly polluted, and river water is also lightly to moderately polluted.
Environmental and monopolistic issues in industrial minerals mining Aleksandr K Kirsanov; Georgij S Kurchin; Natalia A Shkaruba; Natalia V Nikolaeva; Ravil Z Nafikov; Sergey S Kostilev; Umarjon R Teshaev
Journal of Degraded and Mining Lands Management Vol 10, No 3 (2023)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2023.103.4567

Abstract

The paper discusses the environmental impact of industrial minerals mining. Research shows that interest in mining of industrial minerals increases year by year, and their demand and consumption will steadily grow. The market conditions are favorable for developing new fields. Both opencast and underground mined minerals are most popular these days. The industrial minerals market analysis indicates its dynamics, but the high monopoly degree of mining of certain minerals causes some restrictions on free competition in subsoil use. At the same time, environmental issues raised at the level of world power governments are not reflected in legislative documents. We raise the possibility of partial transition from opencast mining to underground one-as an alternative that carries environmental improvement of a mining area.
Developing landslide susceptibility map using Artificial Neural Network (ANN) method for mitigation of land degradation Heni Masruroh; Amin Setyo Leksono; Syahrul Kurniawan; Soemarno Soemarno
Journal of Degraded and Mining Lands Management Vol 10, No 3 (2023)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2023.103.4479

Abstract

Landslides are one of the crucial problems that have an impact on land degradation and human life. This study aimed to develop vulnerability maps using ANN to mitigate land degradation in the Bromo Tengger Semeru with the extending area of Universal Transverse Mercator (UTM) Coordinate System Top 91277639, Bottom 911569, Left 692860, and Right 706860. The method applied the Artificial Neural Network (ANN) model using RStudio machine learning. Landslides were mapped using Sentinel Image and Orthomozaic photo interpretation from data acquisition using Unmanned Aerial Vehicle (UAV). The landslide control factor data was obtained through DEMNAS (National Digital Elevation Model) with a spatial resolution of 8 meters. Data normalisation was conducted using the Mix-Max method before it was processed using RStudio. The landslide existing for ANN workflow was processed using the Bioclim model. The results showed landslide susceptibility was categorised into four classes i.e., low susceptibility (29.83%), which was spatially spread on most in the lower slopes, moderate susceptibility (3.11%), high susceptibility (2.99%), and very high susceptibility (15.94) which is scattered on the upper slope to the middle slope of the watershed. The most significant factor influencing the landslide is the topography factor, with a Relative Importance (RI) value of 0.86; the hydrological factor, with an RI of 0.833 and the surface feature, with an RI of 0.355. The results of the landslide susceptibility model are very proper for land degradation mitigation strategies. It has high accuracy through an Area Under Curve (AUC) of 0.965 and a Precision Recall Curve (PRC) of 0.976.
Application of triple bottom line concept to artisanal and small-scale mining activities in Wa East District, Ghana Emmanuel Mensah-Abludo; Kenneth Peprah; Issah Baddianaah
Journal of Degraded and Mining Lands Management Vol 10, No 3 (2023)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2023.103.4547

Abstract

The artisanal and small-scale mining (ASM) sector offers a supplementary livelihood strategy to agriculture in northern Ghana, acting as a source of capital to support agriculture. However, the sector has been associated with several adverse environmental and socio-economic consequences, making its sustainability dimensions extremely complex and inconclusive across the literature. This study sought to investigate the dynamics of ASM operations in line with the Triple Bottom Line concept. Specifically, the paper explored the influence of the small-scale mining law and institutional framework on ASM operations, examined the relationship between the economic benefits of ASM and other livelihood activities, and assessed the adverse environmental effects of ASM in the host communities. The research design was a mixed method and cross-sectional survey. Household questionnaires, semi-structured interviews and non-participant observation were the main primary data collection techniques. Secondary data were provided by satellite images sourced from USGS Earth Explorer. They were analysed to determine the land cover types. The results indicate that the relevant regulatory state institutions lag behind their law enforcement duty. The ASM is a lucrative job that provides quick income to the youth. However, ASM activities affect food crop farming and decrease the quantity and quality of vegetation causing variations in land cover. Consequently, the host communities and ASM cooperatives have employed some land reclamation strategies. The study recommends increased government support to the relevant regulatory state institutions to constantly monitor and sanitize the ASM sector. To eradicate illegal mining, the study advocates for multi-stakeholder consultation and action.
The effect of halotolerant bacteria isolated from saline soil on the growth and yield of maize in saline soil Nurul Aini; Wiwin Sumiya Dwi Yamika; Nindi Kurniasari; Agung Nugroho; Luqman Qurata Aini
Journal of Degraded and Mining Lands Management Vol 10, No 3 (2023)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2023.103.4341

Abstract

Salinity is a common problem of abiotic stress in the world. Salinity stress causes yield loss in cultivated crops, such as maize. The yield of maize exposed to salinity stress can be increased with the application of some beneficial microorganisms. Three isolates of halotolerant bacteria from saline fields can potentially be used as biostimulants (plant growth-promoting rhizobacteria). A field experiment to study the effect of halotolerant bacteria isolates application on the growth and yield of maize (Zea mays L.) in saline soil was arranged in a randomized block design with a combination of isolate types and frequency applications, and it was repeated three times. In this study, four bacterial strains used were SN13 (Streptomyces sp.), SN22 (Bacillus megaterium), SN23 (Bacillus sp.) and SN26 (Bacillus aryabhattai) isolated from the soil of saline-prone regions of Lamongan, in coastal East Java, Indonesia. Results indicated that an application of halotolerant bacteria was able to improve the yield and nutrient uptake of maize in saline soil. However, the application of halotolerant bacteria significantly improved leaf total chlorophyll content (105.94%), plant dry weight (56.14%), Grain weight per cob (108.11%) and had a positive trend in increasing N uptake (61.19%), and Na uptake (73.09%) compared to control. It is concluded that the application of halotolerant bacteria is able to alleviate the salinity stress of maize in saline soil.
Environmental effects of marble quarry operations in Burdur Lake Basin (Burdur-Turkey) Mehmet Ozcelik
Journal of Degraded and Mining Lands Management Vol 10, No 3 (2023)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2023.103.4517

Abstract

Marble is the most important natural material because of its structural features and its long durability. It is mined at operated quarries on hill slopes. The original landform is permanently altered, and vegetation cover is destroyed. Another important feature of marble quarries is the large amount of waste materials released during the quarrying process. In the last decades, together with the visible effects of global warming and climate change, fresh water resources are rapidly depleted and polluted due to careless land use. Quarrying operations are among the most important stakeholders of this process. Environmental effects of quarry activities depend on the location of the site in the landscape, the vertical and horizontal dimensions of the excavation, the methods used to excavate the marble, and the formation of the geological structure. Furthermore, the region's seismicity, microclimate conditions, ecological condition, and surface and groundwater conditions are all factors influencing environmental degradation. Additionally, numerous serious environmental impacts associated with quarrying activities near the site, such as visual pollution, water, dust, noise, air pollution, vibration, land subsidence, and landslides, will cause health issues and unpredictable biodiversity loss. Quarrying operations have the potential to impact pre-existing ecosystems, including groundwater depletion, loss of fertile topsoil, forest degradation, and human health. This article aims to draw attention to various serious environmental impacts, health problems and biodiversity loss resulting from quarrying operations in Burdur Lake Basin.
Optimization of critical land empowerment through coffee plant extensification as an effort to improve the economic level of coffee farmers in Indonesia Eri Yusnita Arvianti; Ratna Wati; Cakti Indra Gunawan; Karunia Setyowati
Journal of Degraded and Mining Lands Management Vol 10, No 3 (2023)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2023.103.4457

Abstract

Critical land in Indonesia is the result of weather disturbances, natural disasters, farming behavior without considering the preservation of nature, and the unwise use of chemical fertilizers. Critical land tends to be acidic and has a soil structure that does not support cultivation. Coffee plants are flexible plants, and their root systems and ecology can improve soil structure. The need for coffee at home and abroad tends to increase along with the development of coffee consumption as a lifestyle for Generation Z (Gen-Z). The economic value of coffee, which tends to increase, opens the insight of farmers to continue to develop this coffee plantation area. In the development of planting areas, knowledge of critical land optimization is needed, which is a principal factor as the basis for implementing critical land extensification. For this reason, the purpose of this study was to determine the level of knowledge of farmers on optimizing critical land into strategic land and efforts to develop coffee agribusiness in critical land. This study used a quantitative descriptive method and used the SmartPLS3 analysis tool. The results showed that internal factors, external factors, and motivation of farmers affect the level of knowledge about optimization of critical land, critical land management must meet ecological conservation and improve the community's economy in a structured manner, the extensification of critical land using coffee plants is one of the strategic steps for critical land optimization, as well as the development of coffee agribusiness, both seeds and waste as an effort to increase farmers' income.
Landslide hazard assessment and their application in land management in Kendari, Southeast Sulawesi Province, Indonesia La Ode Restele; Ahmad Hidayat; Fitra Saleh; L M Iradat Salihin
Journal of Degraded and Mining Lands Management Vol 10, No 3 (2023)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2023.103.4349

Abstract

Kendari is the capital of Southeast Sulawesi Province which is prone to landslides. Good land management needs to be done to minimize the impact of landslides. This study aimed to map the Kendari landslide hazard that can be used as an input into land management strategy, especially in vulnerable to the threat of landslides. The primary data used in this study were DEMNAS and Sentinel-2. Landslide detection was carried out using a Process Hierarchy Analysis (AHP) approach and validated by field surveys. Land capability analysis was based on landform analysis using land system data. Land management directions were carried out based on the integration of landslide hazard analysis with the ability of the land to be calibrated with actual land cover. The analysis showed that areas with high and very high landslide hazards reached 2654.09 ha (9.64%) and 4354.78 ha (15.82%). Capability class of VII is spread over structural hills to the north and south of Kendari with an area of 7,215.81 ha (26.21%). Land management in areas with very high landslide hazards and land capability class VII is to add cover crops on land that is not protected by a canopy. Cover crops that can be added are the grass type to minimize the danger of erosion that can trigger landslides.
Mercury-resistant biofilm-forming bacteria and local plants in phytoremediation of small-scale gold mine tailings in Lombok Island, Indonesia Siska Nurfitriani; Endang Arisoesilaningsih; Yulia Nuraini
Journal of Degraded and Mining Lands Management Vol 10, No 3 (2023)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2023.103.4305

Abstract

Small-scale gold mining is one of the sectors that contribute to the world's largest mercury contamination through the tailings it produces. Many efforts have been made to reduce mercury concentrations from tailings, one of which is by utilizing a combination of plants and bacteria. This study aims to analyze the combination of mercury-resistant biofilm-forming bacteria and local plants in the phytoremediation of small-scale gold mine tailings. This study used ten plant species divided into three groups and three biofilm-forming mercury-resistant bacteria (Bacillus toyonensis, Burkholderia cepacia, and Microbacterium chocolatum). Parameters observed included plant biomass, total chlorophyll, plant mercury content and media. The results showed that adding bacteria to each plant in the treatment had a different effect. Some plants with the addition of biofilm-forming bacteria had a higher wet weight than others. However, the addition of bacteria was not effective in increasing plant dry weight. The combination of biofilm-forming bacteria in the first and second plant groups reduced tailings mercury concentrations better than without the addition of bacteria. The combination of plants and bacteria in the third group gave higher media and plant mercury concentrations. This study shows that the addition of biofilm-forming bacteria can lead to increased remediation by plants. The second plant group treatment with a combination of P. indica, P. conjugatum, and S. sesban plants was the most effective in reducing tailings mercury content.
Integration of remote sensing and geophysical data to enhance lithological mapping utilizing the Random Forest classifier: a case study from Komopa, Papua Province, Indonesia Hary Nugroho; Ketut Wikantika; Satria Bijaksana; Asep Saepuloh
Journal of Degraded and Mining Lands Management Vol 10, No 3 (2023)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2023.103.4417

Abstract

Lithological information is important in mineral resource exploration, geological observations, mine planning or degradation vulnerability assessment. Currently, lithology mapping can be performed in a fast, inexpensive, and easy way using remote sensing data and machine learning. Remote sensing techniques have become a valuable and promising tool for mapping lithological units and searching for minerals. Typically, the integration of remote sensing data with geophysical data provides a better diagnosis to lithological units than single-source mapping methodologies. Accordingly, this study used a combination of remote sensing and airborne geophysical data utilizing the Random Forest algorithm with small training samples to enhance lithology mapping in Komopa, Papua Province, Indonesia. Geophysical data consisting of magnetic, electromagnetic, and radiometric were added one by one gradually to the remote sensing data, which includes Sentinel 2A, ALOS PALSAR, and DEM (digital elevation model) to compare the accuracy of the classification results from each dataset. The results showed that the model that combined remote sensing data and the three types of geophysical data produced the best classification, with an overall accuracy of 0.81, precision of 0.66, recall of 0.47, and F1 score of 0.52. This fused data can increase the accuracy of the classification results by 8% overall accuracy, 6% precision, 11% recall, and 13% F1 score when compared to the model that only used remote sensing data.

Page 49 of 54 | Total Record : 540

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