{"title":"A geospatial assessment of land use changes and their influence on land surface temperature in Koch Bihar district, West Bengal","authors":"Pritam Saha , Shasanka Kumar Gayen","doi":"10.1016/j.rines.2025.100089","DOIUrl":"10.1016/j.rines.2025.100089","url":null,"abstract":"<div><div>Land use and land cover (LULC) changes significantly impact regional climate, particularly their influence on land surface temperature (LST). This study employs remote sensing (RS) and geographic information system (GIS) techniques to assess LULC transitions and their thermal effects in the Koch Bihar district of West Bengal over the past three decades (1991–2021). Previous studies have predominantly concentrated on assessing land-use transformations, with limited attention given to the LST dimension and the systematic identification of major conversion patterns and temporal trends. Multi-temporal Landsat imagery was used to classify vegetation, agricultural land, built-up areas, fallow land and water bodies, revealing significant transformations. Results showed that agricultural land expanded by 6.31 %, while built-up areas increased by 5.18 %, primarily at the expense of vegetation cover (10.81 %), contributing to significant LST modifications. Seasonal temperature trends indicate a rise in summer LST from 37.52°C (1991) to 39.76°C (2021) and an increase in autumn temperatures, highlighting the urban heat island (UHI) effect. In the study area, Normalized Difference Vegetation Index (NDVI) values declined over time, confirming a loss of vegetative cover and reflecting intensified urbanisation. The spatial trend analysis indicates that urbanisation, agricultural intensification and deforestation have led to higher thermal loads across the region. The outcomes of this study may serve as a valuable resource for policymakers and enhance public awareness by offering a scientific foundation for sustainable land use planning and effective management strategies.</div></div>","PeriodicalId":101084,"journal":{"name":"Results in Earth Sciences","volume":"3 ","pages":"Article 100089"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143851973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Azuka Ocheli , Ejiro Newton Omoko , Godwin Okumagbe Aigbadon , Ovie Benjamin Ogbe
{"title":"Grain size distributions and petrographic analyses of the outcropped Eocene-Miocene sedimentary successions, southern Nigeria: Depositional environments and petroleum reservoir quality predictions","authors":"Azuka Ocheli , Ejiro Newton Omoko , Godwin Okumagbe Aigbadon , Ovie Benjamin Ogbe","doi":"10.1016/j.rines.2025.100068","DOIUrl":"10.1016/j.rines.2025.100068","url":null,"abstract":"<div><div>This investigation presents a case study in which an integrated approach involving petrographic analyses was used, employing grain size tests, to obtain robust insights into the constraints on depositional environments, and contributing to reservoir quality estimation using outcrop and thin section data on the three main sedimentary formations of the Eocene-Miocene (Nanka, Nsugbe, and Ogwashi), southern Nigeria. Fine-grained, clay-poor sandstones, medium-grained, clay-poor sandstones, and coarse-grained, clay-poor sandstone facies were delineated on the basis of field data. The depositional environments of the Eocene-Miocene sediments stretch from fluvial/aeolian to shallow agitated marine environments. Facies, depositional environments, petrographic compositions, grain size distributions, probe permeameters, and empirical equation models were used to evaluate porosity and permeability levels. The fine-grained, clay-poor sandstone facies have the greatest reservoir quality potential, the medium-grained, clay-poor sandstone facies have better reservoir quality, and the coarse-grained, clay-poor sandstone facies have the least reservoir quality potential. The outcropping units of the Eocene-Miocene succession, in southern Nigeria have very good porosities and permeabilities levels to hold and transmit hydrocarbons and other fluids. A geologic reservoir model of the reservoir in the 3-D differential elucidation of the reservoirs capable of holding and transmitting hydrocarbons and other fluids in the study area within the Eocene-Miocene succession was developed. This study will facilitate the prediction of subsurface lateral equivalents of the Niger Delta Basin and other basins in the world with similar lithological networks. The reservoir model will also enhance effective, efficient, and optimal reservoir management.</div></div>","PeriodicalId":101084,"journal":{"name":"Results in Earth Sciences","volume":"3 ","pages":"Article 100068"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143629452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ananda Krishnan , S.G. Dhanil Dev , S. Arjun , V. Deepchand , Yogendra Singh , E. Shaji , P.K. Krishnaprasad
{"title":"Flood susceptibility mapping in Kali River Basin, Southern India: A GIS-based analytical hierarchy process modelling","authors":"Ananda Krishnan , S.G. Dhanil Dev , S. Arjun , V. Deepchand , Yogendra Singh , E. Shaji , P.K. Krishnaprasad","doi":"10.1016/j.rines.2025.100079","DOIUrl":"10.1016/j.rines.2025.100079","url":null,"abstract":"<div><div>Across the globe, floods are always a matter of concern for everyone due to the uncertainty of their occurrence and place. Though their prediction is still in the progress stage, there are enough methods available to identify the areas that have the potential to experience any specific kind of hazard. The present study is focused on an area located in the Uttara Kannada district of Karnataka and the South Goa district in Goa, which experienced a natural hazard for the first time in the form of the Kali River flood in 2019. The study aims to develop flood susceptibility maps for selected subbasins of the Kali River using integrated remote sensing techniques with the analytical hierarchy process system. Detailed analyses of numerous causative factors, i.e., elevation, slope, distance from the river, precipitation, flow accumulation, stream density, soil types, water ratio index, land use land cover, topographic wetness index, and stream power index, were carried out. The result shows that the area can be categorized into five zones ranging from very low to very high susceptibility to flooding. The prevalence of flooding in the study area can be attributed to increased sediment deposition, anthropogenic disturbances, land use and land cover patterns, gentle slopes, elevated soil moisture levels, reduced stream capacity, and limited soil infiltration capacity. The accuracy of the result was assessed using the receiver operating characteristic (ROC) method and confirmed the predictive capability of the generated map. Approximately 30 % of the study area falls within the highly susceptible zone. The outcome of the study provides valuable insights for urban planners and policymakers, assisting them in formulating strategies to mitigate the impact of future flood hazards and minimize the damages, particularly in southwest coast India.</div></div>","PeriodicalId":101084,"journal":{"name":"Results in Earth Sciences","volume":"3 ","pages":"Article 100079"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143601343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Earthquake Magnitude Detection: Leveraging Machine Learning with Metaheuristics for Feature Selection and Dimensionality Reduction","authors":"Rishita Dhulipalla, Shweta Vincent","doi":"10.1016/j.rines.2025.100145","DOIUrl":"10.1016/j.rines.2025.100145","url":null,"abstract":"<div><div>The rapid and accurate estimation of earthquake magnitude is a cornerstone of effective early warning and hazard mitigation strategies. This study systematically evaluates the efficacy—Particle Swarm Optimization (PSO), Grey Wolf Optimizer (GWO), and Whale Optimization Algorithm (WOA)—as feature selection wrappers for improving earthquake magnitude prediction. Four distinct ML models were benchmarked: Random Forest (RF), Light Gradient Boosting Machine (LightGBM), Support Vector Machine (SVM), and Decision Tree (DT). These models were trained and evaluated on a seismic dataset comprising 1000 events characterized by 598 features. Model performance was rigorously assessed using Mean Squared Error (MSE), Mean Absolute Error (MAE), the Coefficient of Determination (<span><math><msup><mrow><mi>R</mi></mrow><mrow><mn>2</mn></mrow></msup></math></span>), feature reduction rates, and total execution time. The results demonstrate that integrating a metaheuristic feature selection approach can yield substantial performance gains. The PSO-optimized Random Forest model achieved the best overall performance, with an MSE of 0.0284 and an <span><math><msup><mrow><mi>R</mi></mrow><mrow><mn>2</mn></mrow></msup></math></span> of 0.8547, representing a 23.8 % improvement in MSE over its baseline. Feature selection proved to be a critical enabler for the SVM, transforming it from a non-performing model (<span><math><msup><mrow><mi>R</mi></mrow><mrow><mn>2</mn></mrow></msup></math></span>= −0.1716) into a viable predictor, with the PSO-optimized variant achieving an <span><math><msup><mrow><mi>R</mi></mrow><mrow><mn>2</mn></mrow></msup></math></span> of 0.6517. The findings conclude that a PSO-based feature selection wrapper offers a robust and highly effective method for enhancing the accuracy and computational efficiency of advanced ML models for seismic analysis.</div></div>","PeriodicalId":101084,"journal":{"name":"Results in Earth Sciences","volume":"3 ","pages":"Article 100145"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145692935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shubham Bhattacharjee , Rahul Dev Garg , Arvind Chandra Pandey
{"title":"Monitoring glacier surface velocity in Zanskar Valley, India: Insights from DInSAR-based 2D velocity estimation","authors":"Shubham Bhattacharjee , Rahul Dev Garg , Arvind Chandra Pandey","doi":"10.1016/j.rines.2025.100092","DOIUrl":"10.1016/j.rines.2025.100092","url":null,"abstract":"<div><div>Glacier surface velocity plays a crucial role in understanding glacier dynamics, climate change impacts, and water resource management. In this study, Differential Synthetic Aperture Radar Interferometry (DInSAR) and geoinformatics techniques were employed to estimate the two-dimensional (2D) surface velocity of glaciers in Zanskar Valley, Ladakh, India. The analysis is based on C-band Sentinel-1 radar data acquired in both ascending and descending orbits to decompose the motion into horizontal and vertical components. The selected glaciers—Pensilungpa, Drang Drung, Khulka, and Kungi—exhibit varying velocity patterns, influenced by topography, ice thickness, and crevasse distribution. The results indicate that the Drang Drung Glacier, the largest in the study area, has the highest surface velocity, reaching approximately - 0.24 ± 0.02 in the upper accumulation zone. Pensilungpa Glacier exhibits distinct velocity variations, with rates of 0.07 ± 0.005 m/day near the equilibrium line altitude (ELA) and lower velocities near the terminus. The vertical and horizontal velocity components provide insights into the dominant glacier flow mechanisms, including ice deformation, sliding, and mass influx from tributaries. The study highlights the effectiveness of DInSAR for estimating glacier motion in complex mountainous terrain. The findings contribute to improved glacier monitoring and future ice thickness assessments, particularly for slow-moving glaciers. The methodology can be extended to other Himalayan glaciers and further refined using multi-frequency SAR data for enhanced accuracy. This research underscores the potential of satellite-based techniques for assessing glacier dynamics and their response to climate change.</div></div>","PeriodicalId":101084,"journal":{"name":"Results in Earth Sciences","volume":"3 ","pages":"Article 100092"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143891695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Forward stratigraphic modeling in rift sedimentary basins","authors":"Donatien Ishimwe , Olugbenga Ajayi Ehinola , Liang Xue","doi":"10.1016/j.rines.2025.100102","DOIUrl":"10.1016/j.rines.2025.100102","url":null,"abstract":"<div><div>This review explores the application of Forward Stratigraphic Modeling (FSM) in rift sedimentary basins, with a special focus on the capabilities of DionisosFlow™. Rift basins, shaped by complex tectono-sedimentary processes, present modeling challenges due to their evolving accommodation space, abrupt facies transitions, and variable sediment supply. DionisosFlow™, a diffusion-based FSM software, enables 3D simulation of sedimentary architecture by integrating tectonic and thermal subsidence, sediment transport, and sea-level change. Through a comparative evaluation of case studies, including the Midyan and East African Rift basins, this review highlights how DionisosFlow™ performs in both data-rich and data-scarce frontier basins. The tool's process-based modeling framework is compared with other FSM platforms like GPM and Badlands, emphasizing their respective strengths, limitations, and application scopes. Additionally, the review addresses methodological workflows, model calibration, and the integration of geological constraints, including plume-related magmatic influences. It concludes by outlining future directions for improving FSM realism in rift settings through enhanced data integration, multi-scale modeling, and scenario testing</div></div>","PeriodicalId":101084,"journal":{"name":"Results in Earth Sciences","volume":"3 ","pages":"Article 100102"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144185432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Slope stability assessment of road cut slopes along NH 107 (Kund-Sonprayag), Gharwal Himalaya, India","authors":"Ashish Kumar Kaushik , Om Prakash Thakur , Mohit Kumar Puniya","doi":"10.1016/j.rines.2025.100125","DOIUrl":"10.1016/j.rines.2025.100125","url":null,"abstract":"<div><div>Slope instability is one of the major problems for the road cut slopes in the hilly areas. Detailed geological mapping with emphasis on the structural data can be a best approach to study these road cut slopes and helps to delineate the active failure condition of damage zones which are vulnerable. For the mitigation of these vulnerable locations, Structural mapping provides actual ground conditions of the study area. In the present study a 31 km road section has been mapped on 1:10000 scales. The major tectonic units and various thrust zones, shear zones and outcrop scale damage zones occurring in the study area are mapped. The major thrusts like Munsiari Thrust, Vaikrita Thrust and various discontinuities are marked in detailed geological mapping. In the study area 9 locations are identified which are prone to failure conditions. Various Geotechnical parameters including Slope Mass Rating (SMR), Basic Rock Mass Rating (RMRb) system and Geological strength Index (GSI) are calculated for vulnerable locations for slope stability assessment. Kinematic assessment of vulnerable locations categorized as toppling failure, planar failure and wedge failure. Calculation of Factor of Safety (FoS) of the affected locations provides values < 1. So, this study is mainly attributed to the Slope stability assessment which relates slope failures with Structural Damage zone. Based on the approach of Detailed Geological Mapping, FoS and Kinematic analysis, all the affected location of slope failures are occurring on the structural damage zones.</div></div>","PeriodicalId":101084,"journal":{"name":"Results in Earth Sciences","volume":"3 ","pages":"Article 100125"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144996396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rohullah Sediqi , Mansoor Mudaser , Vladimir B. Zalishchak , Abdulhalim Zaryab
{"title":"Hydro-geophysical investigation of groundwater resources potential in Dashti-e-Archi alluvial aquifer, Northeastern Afghanistan","authors":"Rohullah Sediqi , Mansoor Mudaser , Vladimir B. Zalishchak , Abdulhalim Zaryab","doi":"10.1016/j.rines.2025.100113","DOIUrl":"10.1016/j.rines.2025.100113","url":null,"abstract":"<div><div>Groundwater is the primary source of water for drinking, domestic use, and agricultural in northern Afghanistan. However, due to over four decades of political instability, the region’s groundwater resources remain poorly understood. Identifying optimal locations for water supply schemes considering both quantity and quality is further complicated by the widespread presence of fine-grained materials. This study employed vertical Electrical Sounding (VES) using the Schlumberger configuration in the village of Arbab Rahim Dolat Zai, located in the Dasht-e-Archi district of Kunduz Province. The VES data were interpreted using IPI2Win and ZONDIP1D software. Among the surveyed sites, only the VES1 was identified as optimal, enabling consistent drilling penetration through all five geo-electric layers. Of the five strata, the fourth located at depths of 33–120 ± 10 m and composed primarily of sand, silt and gravel interbedded with clay were recognized as the principal aquifers. These findings were corroborated by lithological logs, validating the reliability of the geophysical interpretations. Additionally, the Thiem and Dupuit equations were applied to analyses steady-state groundwater flow, facilitating the estimation of hydraulic conductivity and transmissivity. The results provide valuable insights to support policymakers and engineers in the sustainable and effectively management groundwater resources in northern Afghanistan.</div></div>","PeriodicalId":101084,"journal":{"name":"Results in Earth Sciences","volume":"3 ","pages":"Article 100113"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144588928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
N.K. Samaila , M.U. Faruk , T.P. Bata , V.B. Diyelmak , E.Y. Yenne , J.A. Bulus , T. Aga , A.P. Adelabu
{"title":"Exploring hydrocarbon potential with non-invasive techniques: An airborne gamma-ray spectrometric and geochemical analysis of the Shendam Area, North-Central Nigeria","authors":"N.K. Samaila , M.U. Faruk , T.P. Bata , V.B. Diyelmak , E.Y. Yenne , J.A. Bulus , T. Aga , A.P. Adelabu","doi":"10.1016/j.rines.2025.100124","DOIUrl":"10.1016/j.rines.2025.100124","url":null,"abstract":"<div><div>This study conducted an integrated investigation employing airborne gamma-ray spectrometry (AGRS) and geochemical analysis to evaluate the hydrocarbon potential in the Shendam area, located in Northcentral Nigeria. This comprehensive study revealed significant concentrations of key geochemical indicators, including total carbon, total sulphur, potassium oxide (K₂O), thorium (Th), and uranium (U), all of which are commonly associated with organic matter and hydrocarbon-bearing minerals. The geochemical data highlight areas of potential hydrocarbon presence, providing valuable context for the AGRS findings. The airborne gamma-ray spectrometric survey, which included DRAD (Delineation of Radioactive Anomalies) values ranging from 4.67 % to 10.18 %, was pivotal in identifying prospective hydrocarbon zones within the sedimentary formations of the study area. These high DRAD values suggest the possibility of hydrocarbon micro-seepages from underlying reservoirs, indicating favourable conditions for hydrocarbon accumulation. The spatial distribution of these anomalies, combined with the geochemical data, enhances our understanding of potential hydrocarbon zones. Although the preliminary results are promising, confirming the commercial viability of hydrocarbon reserves in the Shendam area requires further investigation. Subsequent exploration efforts should include seismic surveys and exploratory drilling to validate these initial findings. This study highlights the effectiveness of non-invasive methods, such as AGRS and geochemical analysis, in providing detailed and high-resolution insights into subsurface conditions. By minimising ground disturbances, the technique offers a cost-effective and environmentally friendly approach to early-stage hydrocarbon exploration, paving the way for more targeted and informed drilling operations.</div></div>","PeriodicalId":101084,"journal":{"name":"Results in Earth Sciences","volume":"3 ","pages":"Article 100124"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144912379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Daniel N. Kouagou N’Dah , Samuel B. Olobaniyi , Luc C. Adissin Glodji , Sory I.M. Konate , Elhadji Mory Traore , Daniel Kwayisi , Clement B. N’Satta , Ibrahim S. Yerima
{"title":"Geochemistry of podiform chromitite and host rocks within the Buem Structural Unit, Northwestern Benin Republic: Implications for the geodynamic evolution of the Dahomeyide orogenic belt","authors":"Daniel N. Kouagou N’Dah , Samuel B. Olobaniyi , Luc C. Adissin Glodji , Sory I.M. Konate , Elhadji Mory Traore , Daniel Kwayisi , Clement B. N’Satta , Ibrahim S. Yerima","doi":"10.1016/j.rines.2025.100080","DOIUrl":"10.1016/j.rines.2025.100080","url":null,"abstract":"<div><div>The paper presents the geochemistry, origin and geodynamic setting of podiform chromitite and host rocks from the Buem Structural Unit (BSU) in the northwestern Benin Republic. Qualitative Scanning Electron Microscopy (SEM), quantitative Electron probe Micro Analysis (EPMA), and whole-rock geochemical investigation have been conducted on BSU chromite and mafic-ultramafic rocks. The BSU is the westernmost unit of the Dahomeyide orogenic belt. It consists mainly of metamorphosed mafic-ultramafic rock and clastic sedimentary rocks. Chromitites units are exposed within the mafic-ultramafic rocks. Qualitative SEM analyses indicated that chromitite is mainly composed of chromite and serpentine minerals. The qualitative EPMA data shows that Cr<sub>2</sub>O<sub>3</sub> and MnO contents (wt%) of spinel of the BSU varying from 35.91 to 44.53 and from 0.05 to 0.16, respectively and are typical primary Cr-spinel. The calculated parental composition of melts (13.71–16.67 wt% Al<sub>2</sub>O<sub>3</sub> and FeO/MgO values in the range 0.15–0.30) from which the BSU chromitites precipitated is very similar to MORB-type magma. The chemical composition of BSU chromites and its host rocks shows that these chromites were most likely crystallized from MORB. The magma originated as a partial melt that occurred in a Mid Ocean Ridge environment, probably during the early stage of the Pan-African orogeny at the margin of the West African Craton.</div></div>","PeriodicalId":101084,"journal":{"name":"Results in Earth Sciences","volume":"3 ","pages":"Article 100080"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143593171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}