J. A. Ahile, A. S. Oniku, O. C. Meludu, N. Hiar, M. O. Kanu, Y. M. Auwal
{"title":"Integrated airborne radiometric and landsat remote sensing for predictive mapping of radioactive resources in the Yola Basin, Upper Benue Trough, Nigeria","authors":"J. A. Ahile, A. S. Oniku, O. C. Meludu, N. Hiar, M. O. Kanu, Y. M. Auwal","doi":"10.1007/s12517-026-12591-4","DOIUrl":"10.1007/s12517-026-12591-4","url":null,"abstract":"<div><p>Northeast Nigeria, particularly the Yola region, remains an underexplored frontier for radioactive minerals despite rising global demand. This study integrates airborne radiometric data and Landsat-derived spectral indices within Oasis Montaj, ArcGIS, ENVI, and Surfer to delineate hydrothermal systems and prioritize exploration targets for potassium (K), thorium (Th), and uranium (U) mineralization. Radiometric analyses reveal strong lithogeochemical controls, with K concentrations ranging from − 1.47% to 8.83% (threshold: 4.01%), U from − 3.26 to 15.06 ppm (threshold: 4.00 ppm), and Th from − 11.59 to 90.72 ppm (threshold: 21.00 ppm). Band ratio mapping (6/5) identifies unweathered crystalline basement complexes, porphyritic granites, and migmatite gneisses as fertile source rocks enriched in ferrous iron (Fe²⁺). Conversely, ratios 4/2 and 5/7 delineate ferric iron (Fe³⁺) and argillaceous/phyllic alterations flanking the Benue River paleochannel, tracing permeable hydrothermal fluid pathways. Structural lineament analysis shows dominant NE–SW trends that strongly correlate with high-radioelement zones. A unified False Color Composite precisely captures the redox interfaces between oxidized sedimentary conduits and the ferrous basement, which are critical for secondary uranium precipitation. Radioelement ratios (eU/eTh, eU/K, K/Th) and ternary maps confirm significant mineralization potential, marked by fault-controlled potassic alteration and extreme eU/K anomalies (> 10, locally > 50), indicative of surficial or unconformity-type deposits. Integrated findings pinpoint the Northeast, Shelleng, Ngurore, and southern Yola sectors as primary exploration quadrants. We recommend ground-based follow-up, including in-situ spectrometry, radon surveys, geochemical sampling, trenching, and grid drilling across mapped redox fronts to validate these high-resolution exploration vectors.</p></div>","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":"19 9","pages":""},"PeriodicalIF":1.827,"publicationDate":"2026-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148838146","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}
Namitha Mary Varghese, Subin Prakash R, Ramasamy S
{"title":"Downstream sedimentary and mineralogical variation in the Tamiraparani River, Tamil Nadu, India: implications for tropical short-stream paleofluvial analogs","authors":"Namitha Mary Varghese, Subin Prakash R, Ramasamy S","doi":"10.1007/s12517-026-12581-6","DOIUrl":"10.1007/s12517-026-12581-6","url":null,"abstract":"<div><p>The Tamiraparani River, originating in the southern Western Ghats, is a tropical fluvial system that drains the high-grade metamorphic and granitoid rocks of the Southern Granulite Terrain in India. This study investigates downstream variations in grain size, framework petrography, and heavy-mineral assemblages to characterize sediment transport processes, provenance, and sediment dispersal patterns within the river system. The sediments are predominantly poorly to moderately sorted and exhibit variable skewness and kurtosis, reflecting fluctuations in depositional energy and hydraulic conditions during transport. Framework petrography and ternary compositional analyses indicate derivation primarily from high-grade metamorphic and granitoid source rocks, accompanied by progressive textural and compositional maturity downstream. Heavy-mineral assemblages are dominated by zircon, tourmaline, and rutile, with subordinate hornblende and chlorite, and yield moderate to high ZTR index values indicate sediment maturity and varying degrees of sediment recycling. The integrated sedimentological and mineralogical data suggest that sediment characteristics are primarily controlled by source-rock composition, sediment supply, and seasonal hydrodynamic processes operating within a tropical fluvial environment. The observed downstream variations provide valuable insights into sediment transport, provenance characteristics, and source-to-sink relationships in short tropical river systems. These findings contribute to a better understanding of sediment dispersal processes in tropical fluvial environments and provide a useful modern comparative framework for interpreting sedimentary successions in comparable tropical fluvial settings.</p></div>","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":"19 9","pages":""},"PeriodicalIF":1.827,"publicationDate":"2026-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148838149","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}
Namitha Mary Varghese, Subin Prakash R, Ramasamy S
{"title":"Downstream sedimentary and mineralogical variation in the Tamiraparani River, Tamil Nadu, India: implications for tropical short-stream paleofluvial analogs","authors":"Namitha Mary Varghese, Subin Prakash R, Ramasamy S","doi":"10.1007/s12517-026-12581-6","DOIUrl":"10.1007/s12517-026-12581-6","url":null,"abstract":"<div><p>The Tamiraparani River, originating in the southern Western Ghats, is a tropical fluvial system that drains the high-grade metamorphic and granitoid rocks of the Southern Granulite Terrain in India. This study investigates downstream variations in grain size, framework petrography, and heavy-mineral assemblages to characterize sediment transport processes, provenance, and sediment dispersal patterns within the river system. The sediments are predominantly poorly to moderately sorted and exhibit variable skewness and kurtosis, reflecting fluctuations in depositional energy and hydraulic conditions during transport. Framework petrography and ternary compositional analyses indicate derivation primarily from high-grade metamorphic and granitoid source rocks, accompanied by progressive textural and compositional maturity downstream. Heavy-mineral assemblages are dominated by zircon, tourmaline, and rutile, with subordinate hornblende and chlorite, and yield moderate to high ZTR index values indicate sediment maturity and varying degrees of sediment recycling. The integrated sedimentological and mineralogical data suggest that sediment characteristics are primarily controlled by source-rock composition, sediment supply, and seasonal hydrodynamic processes operating within a tropical fluvial environment. The observed downstream variations provide valuable insights into sediment transport, provenance characteristics, and source-to-sink relationships in short tropical river systems. These findings contribute to a better understanding of sediment dispersal processes in tropical fluvial environments and provide a useful modern comparative framework for interpreting sedimentary successions in comparable tropical fluvial settings.</p></div>","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":"19 9","pages":""},"PeriodicalIF":1.827,"publicationDate":"2026-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148838003","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}
J. Lalhlimpuii, V. Vanthangliana, Jimmy Lalnunmawia, Malsawmtluangkima Hauhnar, Orizen M. S. Dawngliana, K. Lalduhawma
{"title":"Thermal constraints on crustal melting and magma evolution of the Nongpoh granitoids, Meghalaya plateau, NE India: evidence from zircon thermometry and trace element geochemistry","authors":"J. Lalhlimpuii, V. Vanthangliana, Jimmy Lalnunmawia, Malsawmtluangkima Hauhnar, Orizen M. S. Dawngliana, K. Lalduhawma","doi":"10.1007/s12517-026-12595-0","DOIUrl":"10.1007/s12517-026-12595-0","url":null,"abstract":"<div><p>The Nongpoh granitoids of the Meghalaya Plateau provide insight into the thermal and petrogenetic evolution of granitic magmatism along the northeastern margin of the Indian Shield. These granitoid suites are characterized by high SiO<sub>2</sub> contents, enriched in large-ion lithophile elements, and fractionated rare earth element (REE) patterns with negative Eu anomalies consistent with evolved calc-alkaline compositions. Whole-rock Zr concentrations range from 171 to 936 ppm, with an average of 607 ppm. The zircon saturation temperature calibrated yields mean values between ~ 870 and 920 °C. Although the zircon saturation thermometry reflects conditions at zircon crystallization rather than peak magma temperature, the observed values suggest that zircon was crystallized from relatively Zr-enriched melts with elevated melt temperatures during magma evolution. The trace-element characteristics indicate a predominantly crustal signature, even though crustal melting may have been facilitated by heat input, possibly related to mafic underplating at depth. The integrated geochemical and thermometric data point to the generation of the Nongpoh granitoids through high-temperature crustal anatexis within an active continental-margin setting.</p></div>","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":"19 9","pages":""},"PeriodicalIF":1.827,"publicationDate":"2026-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148838145","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}
J. A. Ahile, A. S. Oniku, O. C. Meludu, N. Hiar, M. O. Kanu, Y. M. Auwal
{"title":"Integrated airborne radiometric and landsat remote sensing for predictive mapping of radioactive resources in the Yola Basin, Upper Benue Trough, Nigeria","authors":"J. A. Ahile, A. S. Oniku, O. C. Meludu, N. Hiar, M. O. Kanu, Y. M. Auwal","doi":"10.1007/s12517-026-12591-4","DOIUrl":"10.1007/s12517-026-12591-4","url":null,"abstract":"<div><p>Northeast Nigeria, particularly the Yola region, remains an underexplored frontier for radioactive minerals despite rising global demand. This study integrates airborne radiometric data and Landsat-derived spectral indices within Oasis Montaj, ArcGIS, ENVI, and Surfer to delineate hydrothermal systems and prioritize exploration targets for potassium (K), thorium (Th), and uranium (U) mineralization. Radiometric analyses reveal strong lithogeochemical controls, with K concentrations ranging from − 1.47% to 8.83% (threshold: 4.01%), U from − 3.26 to 15.06 ppm (threshold: 4.00 ppm), and Th from − 11.59 to 90.72 ppm (threshold: 21.00 ppm). Band ratio mapping (6/5) identifies unweathered crystalline basement complexes, porphyritic granites, and migmatite gneisses as fertile source rocks enriched in ferrous iron (Fe²⁺). Conversely, ratios 4/2 and 5/7 delineate ferric iron (Fe³⁺) and argillaceous/phyllic alterations flanking the Benue River paleochannel, tracing permeable hydrothermal fluid pathways. Structural lineament analysis shows dominant NE–SW trends that strongly correlate with high-radioelement zones. A unified False Color Composite precisely captures the redox interfaces between oxidized sedimentary conduits and the ferrous basement, which are critical for secondary uranium precipitation. Radioelement ratios (eU/eTh, eU/K, K/Th) and ternary maps confirm significant mineralization potential, marked by fault-controlled potassic alteration and extreme eU/K anomalies (> 10, locally > 50), indicative of surficial or unconformity-type deposits. Integrated findings pinpoint the Northeast, Shelleng, Ngurore, and southern Yola sectors as primary exploration quadrants. We recommend ground-based follow-up, including in-situ spectrometry, radon surveys, geochemical sampling, trenching, and grid drilling across mapped redox fronts to validate these high-resolution exploration vectors.</p></div>","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":"19 9","pages":""},"PeriodicalIF":1.827,"publicationDate":"2026-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148838002","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":"Groundwater potential zonation mapping using deterministic, statistical, and machine learning approaches: a comparative study of the Purulia district, west Bengal, India","authors":"Manas Das, Bikash Dutta, Sourajit Mal, Sakir Laskar, Biplab Das, Gaurav Kumar Gautam","doi":"10.1007/s12517-026-12587-0","DOIUrl":"10.1007/s12517-026-12587-0","url":null,"abstract":"<div><p>This study presents the first comprehensive model-comparison framework integrating the Analytical Hierarchy Process (AHP), Frequency Ratio (FR), Logistic Regression (LR), and Random Forest (RF) for GPZ mapping in the Purulia district of West Bengal, India, situated on the eastern fringe of the Chota Nagpur Plateau. Fifteen hydrogeologically significant conditioning factors were prepared from multi-source geospatial data (ALOS PALSAR DEM, Sentinel-2, Geological Survey of India, Central Ground Water Board), and 66 verified groundwater well observations were partitioned into training (60.6%, <i>n</i> = 40) and testing (39.4%, <i>n</i> = 26) subsets. The AHP model employed a pairwise comparison matrix with a Consistency Ratio of 0.08, while FR assigned bivariate weights across all factor sub-classes. The LR model used a Principal Component Analysis-based Mahalanobis distance framework, retaining components explaining ≥ 95% of the variance, and the RF model employed 500 trees with mtry = 4. Model performance was evaluated through Receiver Operating Characteristic (ROC) curves, Area Under the Curve (AUC), Seed Cell Area Index (SCAI), and Pearson correlation analysis. The RF model achieved the highest predictive accuracy (AUC = 0.75), followed by LR (0.75), FR (0.72), and AHP (0.66), confirming that data-driven approaches outperform expert-based MCDA in capturing complex hydrogeological relationships. Variable importance analysis identified Geomorphology (4.21), LULC (2.19), and NDVI (2.04) as the dominant predictors. SCAI represents the ‘Moderate’ GPZ class as the most spatially coherent (SCAIₚₕₚ = 0.61; SCAIₕ<sub>r</sub> = 0.51). Spatial outputs revealed that 36–40% of the 6,259 km² district falls within the ‘High’ to ‘Very High’ potential range, concentrated in the northeastern and southeastern blocks, which are underlain by metamorphosed volcanic rocks, sandstone outcrops, and pediment zones. The integrated framework offers a replicable, statistically robust methodology applicable to NAQUIM aquifer management and to implementing the Jal Shakti Abhiyan policy in similar hard-rock, semi-arid terrains worldwide.</p></div>","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":"19 9","pages":""},"PeriodicalIF":1.827,"publicationDate":"2026-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148838004","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}
Chaimaa EL KIHAL, Rachid BENBRIK, Nassima ELHAYA, Kholoud KAHIME
{"title":"Climate-aware natural hazard modelling in data-scarce regions: a structured review of GIS, remote sensing, and artificial intelligence","authors":"Chaimaa EL KIHAL, Rachid BENBRIK, Nassima ELHAYA, Kholoud KAHIME","doi":"10.1007/s12517-026-12586-1","DOIUrl":"10.1007/s12517-026-12586-1","url":null,"abstract":"<div><p>As climate change progresses, natural hazards are becoming more frequent, more intense, and increasingly complex in their spatial behaviour, placing growing pressure on traditional hazard assessment frameworks. This review examines recent developments between 2019 and 2025, with particular attention to the expanding use of Geographic Information Systems (GIS), remote sensing, and artificial intelligence (AI) in modelling climate-related hazards such as floods, droughts, wildfires, and coastal processes. A structured screening of peer-reviewed literature retrieved from Scopus and Web of Science, supplemented by searches in Google Scholar, resulted in the retention of 121 peer-reviewed journal articles for analysis, covering floods, droughts, wildfires, and coastal hazards. The review identifies a pronounced methodological transition from conventional statistical and GIS-overlay approaches toward machine learning, deep learning, and hybrid modelling frameworks better suited to capturing nonlinear and dynamic hazard interactions. While these approaches often enhance predictive performance, several challenges remain, including data scarcity, spatial autocorrelation bias, validation constraints, and limited transferability across diverse climatic contexts. Moreover, although AI-based models frequently report higher predictive accuracy, their interpretability and integration into operational planning and risk management systems remain uneven, particularly in data-constrained environments. Using Morocco as an illustrative case of climatic heterogeneity and uneven monitoring infrastructure, this review underscores the importance of developing climate-aware, transparent, and transferable modelling strategies that integrate remote sensing time series, physical process understanding, and rigorous validation practices. Strengthening these dimensions is essential to ensure that methodological advancements translate into effective risk reduction and adaptive planning.</p></div>","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":"19 9","pages":""},"PeriodicalIF":1.827,"publicationDate":"2026-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148838001","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}
J. Lalhlimpuii, V. Vanthangliana, Jimmy Lalnunmawia, Malsawmtluangkima Hauhnar, Orizen M. S. Dawngliana, K. Lalduhawma
{"title":"Thermal constraints on crustal melting and magma evolution of the Nongpoh granitoids, Meghalaya plateau, NE India: evidence from zircon thermometry and trace element geochemistry","authors":"J. Lalhlimpuii, V. Vanthangliana, Jimmy Lalnunmawia, Malsawmtluangkima Hauhnar, Orizen M. S. Dawngliana, K. Lalduhawma","doi":"10.1007/s12517-026-12595-0","DOIUrl":"10.1007/s12517-026-12595-0","url":null,"abstract":"<div><p>The Nongpoh granitoids of the Meghalaya Plateau provide insight into the thermal and petrogenetic evolution of granitic magmatism along the northeastern margin of the Indian Shield. These granitoid suites are characterized by high SiO<sub>2</sub> contents, enriched in large-ion lithophile elements, and fractionated rare earth element (REE) patterns with negative Eu anomalies consistent with evolved calc-alkaline compositions. Whole-rock Zr concentrations range from 171 to 936 ppm, with an average of 607 ppm. The zircon saturation temperature calibrated yields mean values between ~ 870 and 920 °C. Although the zircon saturation thermometry reflects conditions at zircon crystallization rather than peak magma temperature, the observed values suggest that zircon was crystallized from relatively Zr-enriched melts with elevated melt temperatures during magma evolution. The trace-element characteristics indicate a predominantly crustal signature, even though crustal melting may have been facilitated by heat input, possibly related to mafic underplating at depth. The integrated geochemical and thermometric data point to the generation of the Nongpoh granitoids through high-temperature crustal anatexis within an active continental-margin setting.</p></div>","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":"19 9","pages":""},"PeriodicalIF":1.827,"publicationDate":"2026-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148838153","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":"Provenance study of northwestern Arabian Sea clastic sediments: Insights from garnet geochemical signatures","authors":"Anil Kumar Sahu, Priti Rai, Siddhartha Sankar Das","doi":"10.1007/s12517-026-12576-3","DOIUrl":"10.1007/s12517-026-12576-3","url":null,"abstract":"<div><p>The present study investigated the provenance of detrital sediments recovered from Quaternary sediments of ODP Hole 724C of the northwestern Arabian Sea using garnet chemistry. This work represents the first attempt to use detrital garnet chemical compositions to interpret potential source rock types contributing sediments to the study area. The end-member proportions of garnet are calculated from electron microprobe data. The calculated end members of garnet show that almandine and grossular are the dominant molecular proportions with subordinate amounts of pyrope and spessartine. Provenance discrimination diagrams are used to infer rock types or the source area for detrital garnet. Discrimination diagrams indicate that garnets are probably derived from biotite schist, intermediate to felsic igneous rocks (granite and granite pegmatite) and amphibolite-facies metasedimentary rocks. In the southwest of the study area, Khuriya–Muriya islands and the Zalawt plain of the Arabian shield are composed of similar rock types and thus corroborate them as the source of detrital garnet in the Quaternary sediments of ODP Hole 724C. The monsoon-generated winds, currents in particular the southwest monsoon and coastal reworking processes are proposed as a possible agent for transporting detrital garnet from the source region to the study location.</p></div>","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":"19 9","pages":""},"PeriodicalIF":1.827,"publicationDate":"2026-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148837717","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":"Provenance study of northwestern Arabian Sea clastic sediments: Insights from garnet geochemical signatures","authors":"Anil Kumar Sahu, Priti Rai, Siddhartha Sankar Das","doi":"10.1007/s12517-026-12576-3","DOIUrl":"10.1007/s12517-026-12576-3","url":null,"abstract":"<div><p>The present study investigated the provenance of detrital sediments recovered from Quaternary sediments of ODP Hole 724C of the northwestern Arabian Sea using garnet chemistry. This work represents the first attempt to use detrital garnet chemical compositions to interpret potential source rock types contributing sediments to the study area. The end-member proportions of garnet are calculated from electron microprobe data. The calculated end members of garnet show that almandine and grossular are the dominant molecular proportions with subordinate amounts of pyrope and spessartine. Provenance discrimination diagrams are used to infer rock types or the source area for detrital garnet. Discrimination diagrams indicate that garnets are probably derived from biotite schist, intermediate to felsic igneous rocks (granite and granite pegmatite) and amphibolite-facies metasedimentary rocks. In the southwest of the study area, Khuriya–Muriya islands and the Zalawt plain of the Arabian shield are composed of similar rock types and thus corroborate them as the source of detrital garnet in the Quaternary sediments of ODP Hole 724C. The monsoon-generated winds, currents in particular the southwest monsoon and coastal reworking processes are proposed as a possible agent for transporting detrital garnet from the source region to the study location.</p></div>","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":"19 9","pages":""},"PeriodicalIF":1.827,"publicationDate":"2026-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148837734","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}