{"title":"Characterization of the structure, geometry and artesianism of Upper Cretaceous and Paleocene-Eocene aquifers in the coastal sedimentary basin of Benin","authors":"Chouaïb Tade , Abdoukarim Alassane , Raoul Kpegli , Crépin Zevounou , Moussa Boukari , Wérè Gédéon Sambienou , Daouda Mama , Serigne Faye , Hugette Emvoutou , Mmadi Ayouba","doi":"10.1016/j.rines.2025.100134","DOIUrl":"10.1016/j.rines.2025.100134","url":null,"abstract":"<div><div>Groundwater represents a part in the drinking water supply of the populations of the coastal sedimentary basin of Benin (CSB) of which age is Meso-Cenozoic. This is done using groundwater from the Continental Terminal (a detrital sandy-clays formation of siderolithic nature, of post-Middle Eocene to pre-Quaternary age) and Quaternary for populations in the basin southern part. The water supply can be compromised in the medium and long term by demographic pressure and saline intrusion. To overcome this potential depletion water resources, we can consider the deep aquifers exploitation. Our study aims to improve knowledge about the deep aquifers and specifically their structure, geometry and artesianism characterization. The methodology used, is essentially based on lithostratigraphic correlation between boreholes. For this, we made North-South, West-East and North East - South West cross-sections of area and geology containing Eocene-Paleocene and Turonian-Coniacian aquifers. The results showed that two aquifers are deep at the south in the CSB: sands (10–40 m thick) and limestones (20–50 m thick) of Eocene and Paleocene; Turonian-Coniacian sands and sandstones from around 30–60 m of thickness at the North. Eocene-Paleocene aquifer roof altitude varies between + 30 m in the North and - 420 m in the South-East. Upper Cretaceous altitude varies between + 170 m in the North and - 630 m (borehole AT6) in the South. These aquifers plunge towards the south where they have their outlets in Atlantic Ocean. Their outlets are also found in the streams and valleys which cut the basin into plateaus. These valleys and rivers that border the plateaus are characterized by artesianism phenomenon. This is explained by the piezometric surface above the ground surface at these low altitude locations.</div></div>","PeriodicalId":101084,"journal":{"name":"Results in Earth Sciences","volume":"3 ","pages":"Article 100134"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145264948","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":"Automated detection of craters on the lunar surface using deep learning: A review with insights from Chandrayaan-2 TMC-2 data","authors":"Mimansa Sinha, Sanchita Paul","doi":"10.1016/j.rines.2025.100094","DOIUrl":"10.1016/j.rines.2025.100094","url":null,"abstract":"<div><div>The Moon’s surface, marked by craters, serves as a crucial record of the Solar System's impact history, offering key insights into planetary formation and evolution. As missions like Chandrayaan-2 generate vast amounts of high-resolution lunar data, manual annotation of features such as craters, rilles, and lava tubes become increasingly impractical. Automated lunar crater detection has thus become essential to process and analyze these growing datasets efficiently. This review explores recent advancements in deep learning (DL) and machine learning (ML) techniques applied to lunar crater detection, with a focus on the Chandrayaan-2 Terrain Mapping Camera-2 (TMC-2) data. Following PRISMA guidelines, the paper outlines state-of-the-art methodologies, datasets, and challenges in this field while offering insights into sensor capabilities and future research directions. The review aims to provide a comprehensive understanding of the current landscape and highlight potential avenues to advance the automation of crater detection on the lunar surface.</div></div>","PeriodicalId":101084,"journal":{"name":"Results in Earth Sciences","volume":"3 ","pages":"Article 100094"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143886375","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}
Anika Haque, Syeda Ayshia Akter, Md Ashir Morshed Pial, Abdul Kadir , Zia Ahmed
{"title":"Morphological changes and their impact on the resident’s livelihood patterns of Char Munshi, lower Meghna estuary, Bangladesh","authors":"Anika Haque, Syeda Ayshia Akter, Md Ashir Morshed Pial, Abdul Kadir , Zia Ahmed","doi":"10.1016/j.rines.2025.100073","DOIUrl":"10.1016/j.rines.2025.100073","url":null,"abstract":"<div><div>This study investigates the morphological changes in Char Munshi, located along the lower Meghna River, Bangladesh, over the past 34 years (1989–2023) and their impact on the livelihoods of the local population. Analysis of Landsat satellite imagery, combined with social surveys, reveals that despite ongoing land erosion, significant land accretion has occurred during this period. A notable event in 1999 saw the highest erosion rate, resulting in a 25.14 km<sup>2</sup> land loss. Over the study period, the island's area expanded approximately 42-fold, from an initial 2.44 km<sup>2</sup> in 1989 to its current size. The accretion of land positively impacted livelihood by increasing the farmland. On the other hand, frequent riverbank erosion displaced the people, damaged their property, and reduced their long-term economic stability and social security. The findings reveal that the livelihoods of people living in the Charland are primarily dependent on agriculture and fishing. However, challenges such as erosion and cyclones disrupt their way of life, pushing many into secondary or alternative jobs. These hardships also contribute to increased school dropouts, early marriages among girls, and a rise in crime and violence, which are closely linked to economic constraints and the lack of sufficient job opportunities. This study underscores the critical need for targeted economic support, crop and land insurance, and robust erosion control measures, which are essential for bolstering the resilience of Char Munshi's vulnerable population and promoting the sustainable development of its communities.</div></div>","PeriodicalId":101084,"journal":{"name":"Results in Earth Sciences","volume":"3 ","pages":"Article 100073"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143402684","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":"Tectonic and geomorphic drivers control the evolution of landforms in the Eastern Sub-Himalayan and Piedmont zone","authors":"Sudipa Sarkar, Biswajit Bera","doi":"10.1016/j.rines.2025.100101","DOIUrl":"10.1016/j.rines.2025.100101","url":null,"abstract":"<div><div>The mountain to the foothill plain of the Himalayas has diversified topographic signatures. The present study identified the imprints of tectonic and fluvial stressors in the Sub-Himalaya, Piedmont, and foothill regions of the eastern Himalayas. Satellite images, SRTM, and ALOS PALSAR DEM data were used to demarcate different geomorphic features. The geomorphic indices like the Mountain Front Sinuosity (<em>S</em><sub><em>mf</em></sub>) Index, Gradient Length Anomalies (<em>GLA</em>), and Valley width to height (<em>VF</em>) ratio were used for the analysis of active tectonics. The geomorphological attributes of three gully fan segments were identified for the analysis of fluvial stressors. The result shows that the <em>S</em><sub><em>mf</em></sub> value varied between 1.38 and 2.40, and the highest value indicates the inactive mountain front (MFS-8) near Samtse of Bhutan. The negative anomaly is 0.064–0.00035 while the positive GLA ranges between 0.032 and 0.064. There are two positive anomalies recorded within the Jaldhaka and Ghatia rivers. The <em>VF</em> value of 1.63 of the Kuchi-Diana River is the highest, indicating the incision of the valley floor. The geomorphological attributes of the gully fan were identified as the retreat of the gully fan, which refers to the impact of high slope gradient and fluvial action in the scarp of the fan surfaces.</div></div>","PeriodicalId":101084,"journal":{"name":"Results in Earth Sciences","volume":"3 ","pages":"Article 100101"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144071828","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":"Integration of remote sensing and geophysics in geological mapping of southern block of Chitradurga Schist Belt areas in upstream Cauvery basin, Western Dharwar Craton, Karnataka","authors":"Samarth Urs M, Nagendra P, B.V. Suresh Kumar","doi":"10.1016/j.rines.2025.100117","DOIUrl":"10.1016/j.rines.2025.100117","url":null,"abstract":"<div><div>We present mapping and comparision of the geology of the southern block of the Chitradurga schist belt (CSB). We have used ASTER images and geophysical data to compare the geology. Consequently, present study confirms how remote sensing integrated with geophysical surveys can enhance the efficiency and accuracy of regional geological mapping. False colour composites, band ratios, rock indices (QI, MI, and CI), mineral indices, and broadband albedo were used for lithological mapping. Remote sensing results were correlated with digitized thematic geophysical data viz. gravity anomalies, magnetic and radiometric data. The results were validated with lithological data obtained from the Geological Survey of India. Results showed that southern portion of CSB is fringed within a gneiss and dominated by amphibolites interbedded with narrow quartzite bands. To its west, occurs a narrow belt of ultramafites and acidic intrusions. In some localities, the amphibolites are overlain by mica schists.</div></div>","PeriodicalId":101084,"journal":{"name":"Results in Earth Sciences","volume":"3 ","pages":"Article 100117"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144672159","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}
Manish Kumar Jha , Amit Jaiswal , A.K. Verma , Trilok Nath Singh
{"title":"Study of moisture-induced temperature evolution in an engineered barrier system for a HLW repository","authors":"Manish Kumar Jha , Amit Jaiswal , A.K. Verma , Trilok Nath Singh","doi":"10.1016/j.rines.2025.100067","DOIUrl":"10.1016/j.rines.2025.100067","url":null,"abstract":"<div><div>The present paper aims to assess the thermal behaviour of bentonite compaction's engineered barrier system (EBS) to designated dry density. An experiment was carried out on a small (centimetre scale) physical model of the EBS based on the design of the nuclear waste repository proposed by different studies. Temperature distribution within the physical model of the engineered barrier system has been recorded. Investigation of temperature evolution has been conducted in compacted bentonite at three different moisture contents: 10 %, 20 %, and 30 %. The temperature profile was recorded in the radial and lateral directions around the cylindrical heater with different moisture contents. A numerical model has also been developed to assess temperature evolution in radial and longitudinal directions at different moisture content in compacted bentonite. In the radial direction, the maximum temperature in the physical model at monitoring points reaches up to 71 °C 78°C and 79°C for moisture content of 10 %, 20 % and 30 %, respectively. Numerical simulation of the 3-dimensional model gives the maximum temperature of 61 °C, 68.6°C and 69.1°C, respectively, at a 10 %, 20 % and 30 % moisture level. Experimental results show that the maximum temperature developed in the longitudinal direction reaches up to 47°C, 53°C, and 56°C at monitoring points within bentonite having a moisture content of 10 %, 20 %, and 30 %, respectively. Temperatures obtained at a similar point through numerical simulation are 43°C, 47°C, and 53°C for moisture content of 10 %, 20 %, and 30 %, respectively. The difference between numerical and physical models varies up to 13 %. The study shows that the variation in moisture content significantly influences the temperature developed in the experimental setup of compacted bentonite.</div></div>","PeriodicalId":101084,"journal":{"name":"Results in Earth Sciences","volume":"3 ","pages":"Article 100067"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143226487","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":"Comparative analysis of heatwaves and heat stress in six climatic zones of India based on observed data","authors":"Priyankar Kumar, Arun Chakraborty","doi":"10.1016/j.rines.2025.100076","DOIUrl":"10.1016/j.rines.2025.100076","url":null,"abstract":"<div><div>The global phenomenon of climate change has led to the increasing occurrence of heatwaves, significantly escalating heat stress and discomfort. Presently, heatwaves are intensifying in terms of frequency, duration, and severity, causing adverse effects such as increased illnesses, human mortality, and forest fires, both in India and globally. This study investigates six climatic zones in India—Arid, Semi-arid, Montane, Humid subtropical, Tropical wet, and Tropical wet & dry—over 31 years (1990–2020), focusing on the summer season. Daily maximum temperature, relative humidity, wind speed, and solar radiation were used to analyze heatwaves, while the Universal Thermal Climate Index (UTCI) and Humidity Index (HD) measured heat stress and discomfort. Our study shows heatwaves are most prevalent in Semi-arid, Montane, and Humid subtropical zones. These zones exhibited a respective increase of (10.94 %, 21.35 %, and 7.03 %), (11.62 %, 22.03 %, and 7.70 %), and (11.76 %, 22.16 %, and 7.84 %) of heatwave events compared to the Arid, Tropical wet, as well as Tropical wet and dry zones respectively. In April 2010, India experienced widespread heatwaves, except tropical wet zone. The Tropical wet zone experienced minimal heat waves, with individuals facing moderate discomfort and heat stress. Thermal stress impacts were greater in the eastern coastal regions of the Tropical wet and dry climates, with notable instances of great discomfort, strong and very strong stress, and dangerous conditions, potentially leading to heat stroke. However, similar stress levels were also observed in the Arid, Semi-arid, and Humid subtropical zones, particularly in May, June, and July.</div></div>","PeriodicalId":101084,"journal":{"name":"Results in Earth Sciences","volume":"3 ","pages":"Article 100076"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143479162","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":"Landslide susceptibility mapping along the Udhampur-Ramban section of National Highway-44, Jammu and Kashmir: A case study based on the frequency ratio method","authors":"Yudhbir Singh , Shifali Chib , Insha Hamdani , Gaurav Singh Parihar , Sumit Johar , S.K. Pandita","doi":"10.1016/j.rines.2025.100141","DOIUrl":"10.1016/j.rines.2025.100141","url":null,"abstract":"<div><div>Many chronic landslides occurred in the Himalayas as a result of the ever-increasing amplification of road networks and the tampering of hill slopes for urban development. The purpose of this study is to create a landslide susceptibility map (LSM) using the Frequency Ratio (FR) method for the section of National Highway-44 (NH-44) between Udhampur and Ramban, Jammu and Kashmir. The current study also examines the relationship between the various triggering factors and the landslides along this section of highway. A total of eighty-four landsliding sites were identified and mapped through field visits and satellite imageries to create a landslide inventory. The study showed that the dominant factors influencing the slope’s stability in the study area are elevation and terrain ruggedness index which are followed by the study area's slope aspect and land use land cover. The prepared LSM was divided into very low, low, moderate, high, and very high landslide susceptibility zones, respectively. The current study revealed that 54 % of the study area falls into the very low susceptibility class, 17 % each in the low and moderate susceptibility class, 12 % in the high susceptibility class, and 0 % under very high landslide susceptibility class. The resulting susceptibility map for various zones was evaluated using the receiver operative characteristic (ROC) curve, which yielded comparatively good prediction and success rates of 90.2 % and 84.9 %, respectively. The study offers analytical frameworks and mitigation strategies for successfully minimising the main risks associated with landslide occurrences, shedding light on important information for decision-makers, stakeholders, and planners.</div></div>","PeriodicalId":101084,"journal":{"name":"Results in Earth Sciences","volume":"3 ","pages":"Article 100141"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145578896","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":"Phosphate resource evaluation in the eastern Dahomey Basin: A 3D litho-constrained gravity inversion approach","authors":"Ifedayo Fadakinte","doi":"10.1016/j.rines.2025.100093","DOIUrl":"10.1016/j.rines.2025.100093","url":null,"abstract":"<div><div>This study presents an assessment of the phosphate resource in the eastern Dahomey basin using 3D litho-constrained gravity inversion. The inversion results identified notable density anomalies within the Oshosun formation, primarily in the vicinity of Ifo and Faleke towns. To validate the association of these anomalies with phosphate-bearing rocks, three exploration pits were dug in the Ifo area, reaching depths of 9–10 m. Subsequent investigations confirmed that the density anomalies corresponded to two phosphatic shale beds, ranging in thickness from 0.6 to 1 meter, exhibiting an average phosphorus concentration of 32 percent. Estimation of the phosphate resource within the Ifo area employed a comprehensive approach integrating geochemical data derived from phosphatic shale analysis, net to gross ratios obtained from the exploratory pits, and mass and volume calculations from the 3D density model of the phosphatic shales. The resulting estimate for the phosphate resource in the Ifo area amounted to approximately 4.3 million tonnes. Disappointingly, the estimated phosphate resources in Ifo town amounted to a mere 119 tonnes per acre, falling significantly below the requirement for large-scale mining to be considered economically viable. Nonetheless, these study findings hold potential value for local artisanal miners, who may engage in small-scale phosphate mining in Ifo town to produce localized fertilizers. Further investigations and exploration are encouraged to enhance understanding of the phosphate resources in the region and explore potential applications for sustainable local development.</div></div>","PeriodicalId":101084,"journal":{"name":"Results in Earth Sciences","volume":"3 ","pages":"Article 100093"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143900078","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":"Retrieval of the land surface temperature using thermal remote sensing and its relationship with hydrometeorological variables, Sabarmati Basin, Gujarat, India","authors":"Pooja Kumari , Rina Kumari , Deepak Kumar","doi":"10.1016/j.rines.2025.100091","DOIUrl":"10.1016/j.rines.2025.100091","url":null,"abstract":"<div><div>Climatic variation and land-atmosphere interaction affect the natural resources, particularly in the arid/ semi-arid regions. The present research work has been carried out in the Sabarmati basin to quantify Land surface temperature (LST), factors and their impact on hydrometeorology and biophysical parameters. LST and indices were estimated using Landsat 5, 7 and 8 images on a decadal basis using thermal and spectral bands. The monthly TRMM (Tropical Rainfall Measuring Mission) data was used to analyse the rainfall pattern in the study area. Different indices such as normalised difference vegetation index (NDVI), normalised difference moisture index (NDMI), and normalised difference water index (MNDWI) were calculated. Results suggests that from 1990 to 2020, the maximum LST increased by 4.36°C and the minimum LST increased by 5.90°C. In 2020, high LST zones (areas above the mean LST) increased by 8085.51 sq. km compared to 1990. The study finds a negative correlation coefficient of LST with Vegetation Index (NDVI) (r = −0.41), MNDWI (r = −0.54), and Moisture Index (NDMI) (r = −0.69), whereas a moderate positive correlation exists with elevation (r = 0.33). The surface water body area increased significantly in 2020 compared to 1990 due to the formation of new reservoirs and water channels, as well as increased rainfall during the 2019 monsoon season in the river basin. This study provides valuable insights into climate change impacts, aiding urban planning. It also emphasizes the importance of preserving green spaces and water bodies and expanding vegetation in barren lands to combat LST intensification.</div></div>","PeriodicalId":101084,"journal":{"name":"Results in Earth Sciences","volume":"3 ","pages":"Article 100091"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143882126","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}