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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
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Articles 993 Documents
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Development of MUSLE-based models for the prediction of sediment deposits of Small Water Impounding Systems (SWIS) in Nueva Ecija, Philippines Camania, Denver C.; Almerol, Carolyn Grace S.; Malamug, Vitaliana U.; Castillo, Claire Marie M.; Fabula, Jonathan V.; Sacdalan, John Paulo C.; Badua, Sylvester A.; Reños, Erwin B.; Samson, Richard V.
Journal of Degraded and Mining Lands Management Vol. 13 No. 2 (2026)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2026.132.10013

Abstract

The estimation of sediments within the reservoir is important during the engineering design and operational phase of the small water impounding system (SWIS). Most of the existing sediment prediction models were developed from a certain number and group of reservoirs (or watersheds) with known attributes, making them of limited use. The present study was conducted to develop localized sediment prediction models that are based on Modified Soil Loss Equation (MUSLE) and suited to the characteristics of SWIS. The data from the recent soil erosion and sedimentation study in six (6) SWIS in Nueva Ecija, namely Villa Isla, Mangandingay, Villa Boado, Maasin, Tibag II, and Alalay Grande SWIS, were utilized in model development. The manual linearity analysis was employed to generate regression coefficient factors (CFs) and models by determining the sites with a greater relationship in terms of measured sediment deposits and MUSLE factors. There were about 19 regression CFs with 15 models, possessing 1-2 independent variables, developed from different land uses and watersheds. The LS factor, having the strongest relationship to soil erosion, was used in tandem with other MUSLE factors to form models with 2 independent variables. The study found an exceptional performance of the developed MUSLE-based models in terms of R2, residual, and mean absolute percentage error (MAPE). The models with 2 independent variables achieved a perfect performance with R2 of 1.0, while no residuals and errors were recorded. The models with 1 independent variable performed well with R2, residual, and MAPE of 0.8036-0.9893, 0.00-2.43, and 7.41-41.05%, respectively.
Soil contamination by heavy metals and their translocation in spring and winter wheat at sites distant from the Alaverdi Copper Smelting Plant, Armenia Sukiasyan, Astghik; Hunanyan, Surik; Jhangiryan, Tatevik; Kirakosyan, Armen
Journal of Degraded and Mining Lands Management Vol. 13 No. 2 (2026)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2026.132.10029

Abstract

An investigation was conducted into variations in concentrations of selected heavy metals (HMs) in soil and in spring- and winter-wheat crops cultivated near the Alaverdi Copper Smelting Plant (ACSP). The study aimed to elucidate the relationship between their agrochemical indicators and distance from the pollution source, specifically the ACSP. Soil samples were collected from private farm sites at specified distances from the primary pollution source, including 3, 5, 10, and 30 km, reflecting the prevailing wind direction gradient in each region. Changes in the concentration of HMs in soil are largely due to alternation between accumulation within the soil layer and subsequent migration away from the immediate source of pollution. In areas close to the main source of pollution (3 km), intensive accumulation and passive scattering of HMs in the soil were observed, as the ratios Cc > 1 and Sc < 1 were maintained for all elements. The total pollution index analysis revealed that within 3 km, only Cu and Pb exhibited fifth-degree contamination, while Zn and Mo showed third-degree contamination. The overall soil contamination indicated a dangerous hazard level up to 3 km and a moderate risk level up to 5 km. The accumulation potential of HMs was observed in the following order: Mo < Pb < Cu < Zn. The mobility index was calculated as the ratio of HMs concentrations in roots-to-straw and straw-to-grain for both plants. Uptake increases several times as total HM concentrations in soil rise.
Bioindicators of heavy metal contamination in soil and vegetation around abandoned mining sites: Implications for ecological restoration Abbas, Zainab M.; Shandookh, Fatima Kareem
Journal of Degraded and Mining Lands Management Vol. 13 No. 2 (2026)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2026.132.10049

Abstract

Derelict mines are chronic sources of heavy metals, threatening ecosystem integrity and human health. This study evaluated native flora and soil composition as bioindicators of contamination in three abandoned mining areas in Wasit Province, Iraq: Al-Aziziyah (lead-zinc), Old Kut (copper-cobalt), and Northern Al-Numaniyah. Soil and vegetation samples were analyzed via Atomic Absorption Spectrophotometry (AAS) for Pb, Cd, As, Cr, Zn, and Cu. Findings revealed Al-Aziziyah soils exceeded Iraqi/WHO limits for Pb (1,842 mg/kg; 36×) and Cd (12.7 mg/kg; 25×). The Geoaccumulation Index (Igeo) categorized Pb and Cd as "extremely polluted" (Class 6). Atriplex tatarica and Chenopodium murale demonstrated high Bioconcentration Factors (BCF>1) for Pb and Cd, whereas Prosopis farcta exhibited high root-to-shoot translocation (TF>1) for Zn. These indigenous halophytic and ruderal species serve as effective bioindicators and phytoremediation candidates. We propose a bioindicator-based ecological restoration model combining field surveillance, community involvement, and adaptive management to restore disturbed post-mining landscapes in low-resource environments. This solution aligns with Sustainable Development Goals 3 (Good Health) and 15 (Life on Land).
Flood disaster risk identification using integrated fuzzy MCDA and GIS in Song Hinh District, Phu Yen Province Tong, Hanh T.; Pham, Mai Phuong; Nguyen, Nga T.T.
Journal of Degraded and Mining Lands Management Vol. 13 No. 2 (2026)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2026.132.10165

Abstract

This study presents an integrated approach for flood risk zonation using Geographic Information Systems (GIS), which combines spatial multi-criteria analysis (MCDA) with the Group Fuzzy Analytic Hierarchy Process (GFAHP) and fuzzy overlay techniques. Nine flood-influencing factors were considered, namely Digital Elevation Model (DEM), Slope, Normalized Difference Vegetation Index (NDVI), Horizontal Overland Flow Distance (HOFD), Vertical Overland Flow Distance (VOFD), Topographic Position Index (TPI), Topographic Wetness Index (TWI), Curve Number (CN), and Modified Fournier Index (MFI). Each factor was classified into five categories and weighted based on expert judgment through GFAHP, which effectively addresses uncertainty and variability in expert evaluations. The weighting values demonstrated that the DEM (0.248) and slope (0.188) exert the greatest influence on flood hazard. Results showed that 27% of the area belongs to the high and very high-risk zones, primarily concentrated along the Hinh and Ba rivers and around hydropower reservoirs. The derived weights were integrated in the GIS environment using fuzzy overlay to produce a flood risk map with five susceptibility levels, ranging from very low to very high. The findings highlight the effectiveness of the proposed approach as a decision-support tool for spatial planning, resource management and disaster risk reduction and demonstrate its potential applicability to other regions with comparable data conditions.
Integrated assessment of surface water quality and seasonal variability using CCME-WQI in a high-Andean watershed of southern Peru Arteaga, Ruby Juniors Alvarez; Berrios, Wilson Calsin; Charaja, William Santiago Palacios; Roque, Maribel Mamani; Ramirez, Alexander Aguilar; Ramirez, Johan Denis Aguilar
Journal of Degraded and Mining Lands Management Vol. 13 No. 2 (2026)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2026.132.10077

Abstract

It is essential to sustain water quality to support environmental sustainability and public health, particularly in high-Andean watersheds, which are sensitive to hydrological variability. The present study is an integrated assessment of surface water quality conducted in the Ilave District of southern Peru, using the Canadian Council of Ministers of the Environment Water Quality Index (CCME-WQI). Surface water quality was assessed based on the evaluation of physicochemical parameters, microbiological indicators, and concentrations of selected trace metals during contrasting dry and wet seasonal conditions and the application of the components of the CCME-WQI to assess the quality of the overall surface water. Results from this study indicate significant spatial and temporal variability in surface water quality; however, most monitoring locations were classified as having good to excellent water quality. Lower CCME-WQI index values were primarily attributed to localized microbiological contamination and higher concentrations of selected trace metals during low-flow conditions. In general, the CCME-WQI successfully integrated multi-parameter surface water quality data and identified localized degradation processes; therefore, there is a need for targeted monitoring and science-based management of water resources in areas that are subject to increasing anthropogenic pressures in high-Andean environments.
The uncertainty of the Social Forestry Program in ensuring environmental sustainability in upstream watersheds: a case study of the Sekampung Watershed in Lampung, Indonesia Fitriani; Arifin, Bustanul; Rosanti, Novi; Somura, Hiroaki; Kazuto, Shima; Yuwono, Slamet Budi; Dermiyati, Dermiyati; Rahmalina, Dian; Lestari, Fitri Yuni; As-Sadili, Abu Hasan
Journal of Degraded and Mining Lands Management Vol. 13 No. 2 (2026)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2026.132.10099

Abstract

Building awareness of the importance of proper land management is essential for ensuring the long-term sustainability of upstream watershed areas. This study investigated how land management practices emerge, evolve, and are adopted within the Social Forestry Program in the upstream Sekampung watershed. Exploration was focused on three key aspects: (1) the characteristics of social forestry participants as evidence of ongoing community social transformation; (2) the level of land management across different social, economic, and ecological contexts; and (3) the main factors influencing farmers’ decisions to implement sustainable land management practices. A total of 125 respondents were selected to represent program participants. Land management was categorized into biological and mechanical conservation technologies. A logistic regression model was applied to analyze the probability of farmers adopting conservation practices. Results showed that the Social Forestry Program has facilitated considerable social transformation by strengthening community participation and institutional support. It also promoted diverse land management practices adapted to local conditions. Logistic regression analysis identifies several key determinants influencing farmers’ decisions to adopt soil conservation: coffee plant age, farmer age, family size, land area, education level, and farming experience. The logistic model provides robust analytical grounding. It provides high-quality empirical evidence, interdisciplinary relevance, and policy-relevant insights, making it a valuable addition to the scientific literature on sustainable land management, community forestry, and smallholder resilience.
The use of sequential extraction procedure for mercury fractionation study in gold mining tailings: implications for environmental pollution Budianta, Wawan; Idrus, Arifudin; Hakim, Fahmi; Resurrection, Augustus C.; Hinode, Hirofumi
Journal of Degraded and Mining Lands Management Vol. 13 No. 2 (2026)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2026.132.10091

Abstract

Artisanal and small-scale gold mining (ASGM) activities still use mercury (Hg) for the amalgamation processing step. These ASGM activities generate tailings as a mining by-product, representing the primary source of environmental Hg contamination. The purpose of this study was to investigate Hg concentrations in several tailing ponds and analyze the fractionation of Hg in tailings in ASGM on Banyumas District, Central Java, Indonesia. In total, 15 tailings samples were taken from the ASGM tailings storage pond in the study area, and then the total Hg concentration was measured using cold vapor atomic fluorescence spectrometry (CVAFS). Hg fractionation was also performed using CVAFS. The results showed that the total Hg concentration in the tailing pond was very high, exceeding the normal background levels in rock or sediment due to ASGM activities. The fractionation analysis conducted to determine Hg mobility showed that almost all samples were concentrated in the first and second fractions, which had negative environmental effects. The findings from the mercury speciation analysis highlight the critical need for enhanced monitoring of gold mining operations and for implementing responsible tailings management strategies to prevent environmental pollution and protect ecosystem health in the study area.
Heavy metal distribution and soil-plant transfer around a municipal landfill: Evidence from Clarke concentration and biological uptake coefficients Atoyeva, Gulhayo; Jabbarov, Zafarjon; Sayitov, Sardor; Aliboyeva, Malika; Atabekova, Dilaram; Ruzmetov, Rasul; Xalikova, Liliya; Rakhmatullaeva, Guljakhon; Karabekov, Otabek; Reymova, Feruza; Abdullaev, Shokhrukh
Journal of Degraded and Mining Lands Management Vol. 13 No. 2 (2026)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2026.132.10141

Abstract

Municipal solid waste landfills are important sources of heavy metal contamination in surrounding ecosystems. This study evaluates the spatial distribution and soil–plant transfer of heavy metals around the Ohangaron municipal landfill in the Tashkent region, Uzbekistan. Soil and plant samples were collected at distances of 1.0 and 2.5 km from the landfill in four cardinal directions. Concentrations of Fe, Co, Ni, and Mo were determined using inductively coupled plasma optical emission spectrometry (ICP-OES). Soil contamination levels were assessed using Clarke concentration coefficients and technogenic enrichment factors, while plant uptake was evaluated through biological uptake coefficients (BUC). The results showed heterogeneous spatial distribution of heavy metals. Iron concentrations remained within natural background levels, whereas molybdenum exhibited strong technogenic enrichment, exceeding Clarke values by up to 10-30 times in several locations. Nickel and cobalt displayed moderate contamination patterns associated with landfill influence. Bioaccumulation analysis indicated moderate uptake of Fe, Co, and Ni by plants, while molybdenum demonstrated higher mobility and accumulation capacity. The findings highlight the environmental impact of landfill activities and emphasize the need for continuous monitoring and improved waste management practices.
Shotgun metagenomics reveals hydrocarbon-degradation potential in vehicle-wash drainage sludge and GC-MS validation of n-alkane removal by an indigenous Bacillus amyloliquefaciens in wastewater microcosms Ngo , Cao Cuong; Nguyen, Thi Kim Thanh; Tran, Thi Thanh Thuy; Do, Thi Tuyen
Journal of Degraded and Mining Lands Management Vol. 13 No. 2 (2026)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2026.132.10155

Abstract

Vehicle-wash wastewater can contain petroleum-derived residues that accumulate in drainage sludge and pose persistent environmental risks. In this study, shotgun metagenomics of drainage sludge from a vehicle-wash ditch were combined with isolate level validation to assess indigenous hydrocarbon biodegradation potential. Taxonomic profiling revealed a community dominated by Proteobacteria (notably Gammaproteobacteria), while Bacillus was detected only at low relative abundance at the genus level. Functional annotation indicated strong genetic potential for alkane activation and downstream processing, together with multiple enzymes associated with aromatic?ring transformation. To link this community-level potential with experimentally verifiable activity, an indigenous isolate recovered from the sludge was identified as Bacillus amyloliquefaciens MD3.3 based on 16S rRNA gene sequencing (GenBank: PV550465). In microcosms prepared with wastewater from the same drainage source, GC-MS analysis demonstrated marked attenuation of mineral oil n-alkanes over 0-7-14 days. ?n?alkanes decreased from 185,346.63 ± 11,120.80 µg/L at Day 0 to 21,498.48 ± 3,224.77 µg/L at Day 7 and 260.82 ± 52.16 µg/L at Day 14, corresponding to 88.44 ± 1.05% and 99.86 ± 0.02% removal, respectively (n = 3). In contrast, abiotic sterilized controls showed only minor non-biological losses (4.23 ± 3.54% and 5.97 ± 0.75% removal at Days 7 and 14). Collectively, these results support the feasibility of site-relevant bioremediation for vehicle-wash wastewater.
Hotelling's T² confirms REE distribution supporting sustainable land application Pulungan, Linda; Muslim, Dicky; Hirnawan, Febri; Sendjaja, Yoga A.; Sukiyah, Emi; Usman, Dudi Nasrudin
Journal of Degraded and Mining Lands Management Vol. 13 No. 2 (2026)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2026.132.10209

Abstract

Coal ash from stratigraphically complex basins shows compositional variability that can complicate safe land application, yet seam-level geochemical characterization remains limited. This study evaluated whether rare earth element (REE) fingerprints can reliably distinguish coal seams in the Pulau Balang Formation, Kutai Basin, East Kalimantan, Indonesia, and whether the resulting classification supports a tiered screening framework for mine-land rehabilitation. Forty-five coal ash samples from three stratigraphic seam groups (Upper: Seams 1-4; Middle: Seams 9-12; Lower: Seams 17-19 were analyzed for light REEs (La, Ce, Pr, Nd, Sm) by ICP-OES and for major oxides by XRF. REE data were log10-transformed and z-standardized before principal component analysis (PCA), linear discriminant analysis (LDA) with leave-one-out cross-validation (LOOCV), and pairwise Hotelling’s T² testing. Major oxides were treated as compositional data using the centered log-ratio (clr) transformation. PCA explained 79.3% of REE variance on PC1, with La loading separately from the Ce-Pr-Nd-Sm cluster. LDA achieved 100% LOOCV classification accuracy, and Hotelling’s T² confirmed significant multivariate separation across all seam pairs (p<1 × 10-15). In contrast, clr-transformed oxides separated only the Middle and Lower seams (p = 0.0010). Generally, REE fingerprinting provides a stronger basis for seam-source assignment than major oxide profiling and supports seam-based screening for selective stockpile management and controlled coal-ash placement in reclaimed mine lands.

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