Geosystems and Geoenvironment最新文献

{"title":"Combining MCDM and geospatial techniques to identify groundwater potential zones and trend analysis of rainfall and well water level data: An investigation in the Prayagraj and Kaushambi districts","authors":"Swarnim,&nbsp;Jayant Nath Tripathi,&nbsp;Irjesh Sonker,&nbsp;Ritesh Singh","doi":"10.1016/j.geogeo.2025.100454","DOIUrl":"10.1016/j.geogeo.2025.100454","url":null,"abstract":"<div><div>This research employed remote sensing and geographic information system (GIS) to figure out the groundwater potential zones (GWPZ) in the Prayagraj and Kaushambi districts of Uttar Pradesh, India, where groundwater is heavily exploited for agriculture and urbanisation and government policies being implemented for enhancing the groundwater level. The study region contains both (confined and unconfined) type of groundwater. The following variables were utilised to produce groundwater potential zone (GWPZ) maps: geology, precipitation, geomorphology, soil texture, lineament frequency, slope, drainage density, topographic wetness index (TWI), land use and land cover and normalised difference vegetation index (NDVI).</div><div>Prior to the fusion of the layers, multicollinearity assessments were performed to ascertain the accuracy of the predictive outcome. The chosen themes were included into a GIS platform with a weighted linear combination, with distinct weights allocated to different themes through the multi-influencing factor (MIF) and analytical hierarchy process (AHP) methodologies. Based on the groundwater prospective zones, the research area was divided into three groups: high potential, moderate potential, and low potential zones. Groundwater potential zones are sequentially identified by the MIF method as follows: High (16.35%; 1173.79 km²), Moderate (76.28%; 5477.24 km²), and Low (7.38%; 529.64 km²), while the AHP method identifies the same zones as follows: High (10.01%; 717.87 km²), Moderate (80.92%; 5810.41 km²), and Low (9.09%; 652.40 km²) in a consecutive manner. The accuracy of the maps was determined by comparing them to well water level data using the receivers operating characteristic curve (ROC). The AHP and MIF approaches yielded accuracy rates of 79.9% and 77% respectively. According to the trend analysis of rainfall for 34 years and water level of wells of 26 years for post-monsoon and pre-monsoon season the rainfall is increasing and groundwater level is decreasing. The GWPZ assessment and monitoring techniques are accurate and fair. Thus, this research is essential for creating a more efficient framework that can speed up groundwater recharge analysis and guide the installation of artificial recharge structures.</div></div>","PeriodicalId":100582,"journal":{"name":"Geosystems and Geoenvironment","volume":"5 1","pages":"Article 100454"},"PeriodicalIF":0.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145095464","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":"Paleoenvironmental and vegetation evolution during the PETM in the Gulf of Guinea: A study based on integrated palynological and chemostratigraphic analysis of the Miang section in the Douala Basin, Cameroon","authors":"André Mbabi Bitchong ,&nbsp;Thierry Adatte ,&nbsp;Serge P. Koah Na Lebogo ,&nbsp;Cecile Olive Mbesse ,&nbsp;Hamid Slimani ,&nbsp;Jorge E. Spangenberg ,&nbsp;Glwadys Ngo Mandeng ,&nbsp;Simon Ngos  III","doi":"10.1016/j.geogeo.2025.100465","DOIUrl":"10.1016/j.geogeo.2025.100465","url":null,"abstract":"<div><div>The Paleocene–Eocene environment and vegetation evolution is widely documented worldwide. While a few similar studies have been undertaken in the Gulf of Guinea and the continental interior, they remain very limited, and provide no evidence of the Paleocene–Eocene thermal maximum (PETM). To address this gap, we conducted a comprehensive new sedimentological, palynological, mineralogical, and geochemical analysis of the Miang outcrop in the Douala Basin that encompasses silty-clayey deposits typical for swamp to back swamp coastal settings. The analysis of pollen and spore taxa, including <em>Proxapertites operculatus, Proxapertites cursus, Echitriporites trianguliformis, Psilamonocolpites</em> sp., <em>Crototricolpites protoannemariae, Echitricolpites communis, Psilastephanocolporites</em> sp., and <em>Echimonocolpites rarispinosus</em> and allowed the delineation of the pantropical <em>Proxapertites operculatus</em> Zone, corresponding to the Paleocene–Eocene transition, as well as Cameroon <em>Spathiphyllum vanegensis</em> (ZpI) and <em>Retibrevitricolpites triangulatus</em> (ZpII) zones, which indicate the late Paleocene and early Eocene epochs, respectively. This, combined with the organic carbon-isotope excursion (CIE: ∼-6.4‰), contributed to accurately determining the Paleocene–Eocene boundary (PEB). Geochemical and clay mineralogical data indicate that the paleoenvironment experienced intrusive volcanism linked with the Cameroon Volcanic Line (CVL), and enhanced primary productivity, both of which show marked decline prior to the PEB. Additionally, significant chemical alteration (CIA values: 85–94) occurred under warm and humid conditions (kaolinite: 70–88 % and smectite: 10–23 %), with sediments being reworked and deposited in a dysoxic setting conducive to organic matter preservation, especially from the pre-PETM period onwards. From the pre-PETM to early PETM, the Gulf of Guinea was probably covered by an extensive Lowland Rainforest/Open Forest ecosystem with a diverse flora, mostly angiosperms, that thrived in warm and humid conditions. From the mid-Lower Eocene onwards, Lowland Rainforest/Open Forest and Freshwater Swamp Forest species began to coexist with certain Mangrove-Coastal Swamp species, indicating proximity to the sea.</div></div>","PeriodicalId":100582,"journal":{"name":"Geosystems and Geoenvironment","volume":"5 1","pages":"Article 100465"},"PeriodicalIF":0.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145416050","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":"Geospatial flood susceptibility modelling using analytical hierarchy process: A case study in the south-central coastal region of Bangladesh","authors":"Irteja Hasan ,&nbsp;Md Mahmudul Hasan Rakib ,&nbsp;Dhiman Kumer Roy ,&nbsp;Mehedi Hasan Ovi ,&nbsp;Md. Fuad Hasan ,&nbsp;Md. Sagirul Islam Majumder","doi":"10.1016/j.geogeo.2025.100457","DOIUrl":"10.1016/j.geogeo.2025.100457","url":null,"abstract":"<div><div>The Patuakhali region is situated in the coastal area of Bangladesh and is bordered by major rivers, which are extremely vulnerable to foreseeable flooding disasters due to the detrimental effects of climate change. The primary objective of this study is to create a flood susceptibility map using AHP, GIS, and Remote Sensing techniques. The flood hazard map was constructed using seven important causative factors, where elevation (32 %) is the most influential in creating flood hazards, followed by slope (22 %) and drainage density (14 %). The flood hazard map shows that 10.30 % area is very highly hazardous, 22.20 % is in high, 30.45 % is moderate, 26.06 % is low, and 10.99 % area is in very low hazard zone in the study area. The flood vulnerability map was developed using four key factors: population density, distance from roads, land use/land cover (LULC), and NDVI, with population density emerging as the most influential factor, contributing 45 % to the overall vulnerability assessment. The map indicates that 30 % of the area is classified as very high, 23 % as high, 22 % as moderate, 17 % as low, and 9 % as very low vulnerability. Likewise, the flood hazard and vulnerability maps were overlaid to construct a flood risk map. In the final AHP-GIS flood risk map, 10 % of regions were classified as very high risk, 22 % as high risk, 28 % as moderate risk, 24 % as low risk, and 16 % as very low risk. The information contained in these maps will be beneficial to decision-makers in implementing flood-mitigation policies in priority areas of sustainable development, as well as in preventing and managing floods in the coastal belt of Bangladesh. Further analysis, which includes data on population and building density, proximity to nature, and economic and social activities, will enable the enhancement of sustainability in addition to this study.</div></div>","PeriodicalId":100582,"journal":{"name":"Geosystems and Geoenvironment","volume":"5 1","pages":"Article 100457"},"PeriodicalIF":0.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145157972","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":"Comprehensive assessment of the Torud Playa Basin hydrogeological reserves in NE Iran: Insights from utilizing pumping test methods","authors":"Pooria Kianoush ,&nbsp;Ahmad Adib ,&nbsp;Shahab Varkouhi ,&nbsp;Nasser Keshavarz Faraj Khah","doi":"10.1016/j.geogeo.2025.100463","DOIUrl":"10.1016/j.geogeo.2025.100463","url":null,"abstract":"<div><div>The Torud Playa Basin in northeastern Iran possesses significant brine and hydrocarbon exploration potential. Its complex geology—comprising playa basins, evaporites, and multi-layered aquifers—presents unique challenges for pumping test implementation. The Torud Playa hydrogeological reserves were evaluated through multi-level pumping tests and hydrogeochemical analysis. These methods addressed the basin's complex evaporite geology. The study aims to understand reservoir behavior and develop effective management strategies, including improved water management practices and the identification of new exploration targets. The study's results have significantly contributed to understanding the reservoir behavior and developing effective management strategies. It is indicated that the studied area is divided into four sections, with poor permeability in the central parts (&lt;1.5 m/day) and good permeability in the northern region (&gt;3 m/day). This work identifies the north-northeastern parts of the Torud Playa suitable for potash reserves, with an estimated volume of 27,200.18 million cubic meters (Mm³) solutes in the playa and salt crust and an excavated volume of 18,133.45 Mm³. Sustainable exploitation requires limiting extraction to 40–60% of static reserves (327–490 Mm³) to maintain hydrological balance, with 90 % extraction causing 3.2 m water table decline and 62% habitat loss. These findings provide novel insights into reserve assessment methodologies for playa basins, integrating hydrodynamic and geochemical approaches to guide evidence-based resource management in arid regions.</div></div>","PeriodicalId":100582,"journal":{"name":"Geosystems and Geoenvironment","volume":"5 1","pages":"Article 100463"},"PeriodicalIF":0.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145320006","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":"Identifying seawater intrusion in coastal areas using the transient electromagnetic method at Santolo Beach, Garut, West Java, Indonesia","authors":"Vitasha Adha Chaerul ,&nbsp;I Gede Putu Fadjar Soerya Djaja ,&nbsp;Prihandhanu Mukti Pratomo ,&nbsp;Supriyadi ,&nbsp;Elfitra Desifatma ,&nbsp;Anggie Susilawati ,&nbsp;Dini Andriani ,&nbsp;Harry Mahardika ,&nbsp;Eleonora Agustine ,&nbsp;Wahyu Srigutomo","doi":"10.1016/j.geogeo.2025.100440","DOIUrl":"10.1016/j.geogeo.2025.100440","url":null,"abstract":"<div><div>Seawater intrusion contaminates freshwater in coastal areas, disrupting the environment and posing health risks due to high chloride content. Monitoring and mapping the seawater-freshwater interface is essential for evaluating and mitigating the environmental damage caused by this phenomenon. A widely used geophysical technique for mapping is the transient electromagnetic (TEM) method, which detects seawater intrusion by leveraging the significant resistivity differences between saline water, freshwater, and other geological layers.</div><div>This study utilized 21 TEM sounding points at Santolo Beach, Garut, West Java, Indonesia. The data were processed through an iterative inversion procedure using a smoothness constraint scheme. Interpretation of the transient magnetic field across all sounding points revealed a resistivity structure comprising three main layers: (1) a surface layer with high resistivity (&gt;50 Ωm) extending to a depth of 15 m and thinning as it moves away from the coastline; (2) a middle layer with moderate resistivity (5–50 Ωm), ranging from 15 m to 40 m and thickening inland; and (3) a conductive layer, identified as seawater intrusion, with low resistivity (&lt;5 Ωm), situated &gt;40 m deep and deepening farther from the coastline. Additionally, water quality at several TEM sounding points was assessed using parameters such as total dissolved solids (TDS), electrical conductivity (EC), pH, and water temperature. The findings indicate that surface water in the area, obtained from wells and swamps, meets the required quality standards for potable water.</div></div>","PeriodicalId":100582,"journal":{"name":"Geosystems and Geoenvironment","volume":"5 1","pages":"Article 100440"},"PeriodicalIF":0.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144827757","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":"Pore size characterization of Cretaceous ironstone by low-field nuclear magnetic resonance technique","authors":"A.A. Ige-Adeyeye ,&nbsp;O.B. Olatinsu ,&nbsp;V.C. Ozebo ,&nbsp;L. Esteban","doi":"10.1016/j.geogeo.2025.100449","DOIUrl":"10.1016/j.geogeo.2025.100449","url":null,"abstract":"<div><div>The microstructure of Cretaceous ironstone samples of Yewa within Eastern Dahomey Basin in Southwest Nigeria, has been investigated using low-field nuclear magnetic resonance and conventional porosity measurements. The aim was to evaluate the porosity and pore structure for heat flow consideration in blast furnace or rotary kiln. A total of eighteen iron core samples were analyzed using: X-ray fluorescence (XRF) spectroscopy to determine the percentage composition of iron content; water imbibition porosity (WIP) from dry and saturated sample weights; and low-field nuclear magnetic resonance (NMR) measurements at full water saturation for pore structure and pore size distribution. The average percentage by weight of iron content in the samples is 55 %. Porosity and water content from NMR and WIP shows high degree correlation of 79 % and 97 %, respectively with average porosities from both procedures given as 22.06 pu. and 21.96 pu., respectively. The NMR-<em>T</em>₂ distributions depict multimodal pore system with high degree of connectivity. The transverse relaxation time ranges have been classified into three regions: micropores, 0.3162–0.5012 ms, mesopores, 19.95–84.28 ms and macropores, 199.5–2117 ms, respectively. Using an established average surface relaxivity value (338 µms⁻¹) for haematite, the logarithmic mean of pore radius was estimated from the pore size distributions with values of 0.3098 µm, 33.57 µm and 733.3 µm, for micropores, mesopores and macropores, respectively. The strong pore connectivity demonstrated by the NMR-<em>T</em>₂ distribution, porosity values, and pore geometry all provide strong evidence that the iron ore samples from the study site will maximize heat and gas flow, improve reducibility and increase process efficiency in a rotary kiln or blast furnace. These findings provide valuable insights into the petrophysical characteristics of Yewa iron ores, thereby enhancing our understanding of its potential applications in the mining and ore processing industries.</div></div>","PeriodicalId":100582,"journal":{"name":"Geosystems and Geoenvironment","volume":"5 1","pages":"Article 100449"},"PeriodicalIF":0.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144879908","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":"A review on the application of geophysical methods in civil engineering studies","authors":"A.A. Akinlalu ,&nbsp;M.M. Futai ,&nbsp;D.O. Afolabi ,&nbsp;R.M. Abraham-A","doi":"10.1016/j.geogeo.2025.100453","DOIUrl":"10.1016/j.geogeo.2025.100453","url":null,"abstract":"<div><div>This paper reviewed the application of geophysical methods in civil engineering projects by way of subsurface characterization by examining more than 75 publications in peer–reviewed journals. The paper highlighted various geological conditions considered in engineering site characterization and the appropriate geophysical methods such as electrical resistivity tomography, seismic refraction tomography, self-potential, induced polarization, electromagnetic, multichannel analysis of surface waves and magnetic methods used in subsurface characterization. Case studies drawn from 26 publications were presented to show the successful application of geophysical methods in subsurface characterization in relation to civil engineering projects. The paper also highlighted the challenges of geophysical data in civil engineering projects involving ambiguities in data interpretation, complexity in data processing and high noise to signal ratio in culturally noisy environments. Resolutions in the limitations and challenges of geophysical methods in civil engineering characterization were also offered in the paper, chief among them is integrated use of geophysical methods which has gained traction in recent years. Further solutions are incorporating appropriate band pass filters in the design of geophysical equipment’s to enhance signal to noise ratio in culturally noisy environments. Future researches in the use of geophysical methods in subsurface characterization in relation to civil engineering projects should involve joint inversion and modelling of integrated geophysical methods to achieve optimum results for subsurface imaging. Future researches should also incorporate the integration of machine learning and deep learning techniques, which enhance automated interpretation, facilitate anomaly detection, and enable real-time geophysical monitoring in civil infrastructure applications.</div></div>","PeriodicalId":100582,"journal":{"name":"Geosystems and Geoenvironment","volume":"5 1","pages":"Article 100453"},"PeriodicalIF":0.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145095446","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":"Unraveling groundwater potential zones from alluvial plains using decision making method: A river scale analysis","authors":"Adesh Patel ,&nbsp;M.M. Singh ,&nbsp;S.C. Bhatt ,&nbsp;Narendra Kumar Rana ,&nbsp;Sudhir Kumar Singh ,&nbsp;Nirmal Kumar ,&nbsp;Hrithik Sachan","doi":"10.1016/j.geogeo.2025.100461","DOIUrl":"10.1016/j.geogeo.2025.100461","url":null,"abstract":"<div><div>Due to climate change many basins are under water stress condition due to erratic rainfall. Hence, we aimed to study rainfall pattern over the last thirty-two years and to identify the new groundwater potential zones (GWPZs) using the remote sensing-based products, meteorological, hydrogeological, and groundwater level data in the lower Rapti River Basin (LRRB). The monthly data of thirty-two years (1990–2022) of eight stations viz. Balrampur, Shravasti, Siddharth Nagar, Maharajganj, Sant Kabir Nagar, Gorakhpur, Deoria, and Kushinagar were tested for standardized precipitation index (SPI) at multi-time scale (SPI-1, SPI-3, SPI-6, SPI-9, SPI-12, and SPI-24) to decipher wetness and dryness condition in the area. Afterwards, impact of rainfall was correlated with surface drainage characteristic and sub-surface recharge zone. Henceforth, different data sets pertaining to lithology, rainfall, geology, drainage density, geomorphology, land use/land cover, soil, slope and elevation were used to delineate GWPZ. Relative importance of thematic layers and weights on Saaty’s scale was determined by analytical hierarchy process (AHP) in order to normalize and standardize the weights. Eventually, in the GIS environment all thematic layers were combined using the weighted overlay method (WOM) for delineation of GWPZ. Result of GWPZ was validated with groundwater level and soil moisture data and categorized as excellent, good, fair and poor. The majority of area is under the category of good and fair GWPZs.</div></div>","PeriodicalId":100582,"journal":{"name":"Geosystems and Geoenvironment","volume":"5 1","pages":"Article 100461"},"PeriodicalIF":0.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145320007","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 geophysical and radiological assessment of solid waste diposal impact on groundwater and human health in Southern Nigeria","authors":"Oghenevovwero E. Esi ,&nbsp;Orisekpabor P. Odedede ,&nbsp;Moses O. Eyankware","doi":"10.1016/j.geogeo.2025.100425","DOIUrl":"10.1016/j.geogeo.2025.100425","url":null,"abstract":"<div><div>The solid waste contaminated leachate may cause radiological human risk when it comes in contact with the aquifer groundwater. To ascertain the radiological contamination level of research area, the electrical resistivity method was used to assess the depth of the aquifer of the groundwater and radiometric survey analytical method were used to assessed the radiological human risk. The electrical resistivity Dar-Zarrouk parameters longitudinal conductance (<em>S</em>), transverse resistance (<em>Tr</em>), longitudinal resistance (<em>L</em>) and aquifer properties such as transmissivity (<em>T</em>) and hydraulic conductivity (<em>K</em>) used to evaluate groundwater potential revealed that Aladja had higher values of <em>Tr</em> compared to other research sites. The values obtained from <em>S</em> also suggested that surface pollution of groundwater is a possibility. The research area's Effurun axis was the location of the highest value of <em>ρ_L</em>. Subsequent investigation indicated that high <em>K</em> values were found in the research area near the Ogunu and Warri axes. A total of 18 water samples were collected for a radiometric survey and mean measured results of ²³⁸U, ²³²Th and ⁴⁰K are 6.57 ± 2.89Bql^-1, 3.23 ± 1.25Bql^-1 and 53.21 ± 3.51Bql^-1 respectively. The obtained mean results exceeded the permissible limits of 1.0 Bql^-1, 0.1 Bql^-1, and 10 Bql^-1 respectively. The computed radiological parameter results are all slightly higher than standard. The results prove that the studied groundwater will be detrimental to human health with time. Deductions from the study revealed that groundwater quality should be monitored and that suitable treatment technologies should be used to filter the water before drinking.</div></div>","PeriodicalId":100582,"journal":{"name":"Geosystems and Geoenvironment","volume":"5 1","pages":"Article 100425"},"PeriodicalIF":0.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144911741","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":"Modelling environmental fragility in an industrial landscape: An integrated remote sensing-GIS framework for sustainable planning in Brahmani-Dwarka Interfluve","authors":"Bhaskar Mandal,&nbsp;Kaushalendra Prakash Goswami,&nbsp;Sharmistha Mondal","doi":"10.1016/j.geogeo.2025.100460","DOIUrl":"10.1016/j.geogeo.2025.100460","url":null,"abstract":"<div><div>Evaluating environmental vulnerability is crucial for efficient and sustainable management, particularly in regions that are ecologically sensitive and experiencing rapid transformations. Thus, the main goal of this study is to evaluate the environmental fragility of the Brahmani-Dwarka Interfluve by integrating key natural and human-induced factors through the analytical hierarchy process (AHP) and fuzzy analytical hierarchy process (FAHP) within a remote sensing and geographic information systems (RS-GIS) framework. To achieve this, ten unique factors influencing potential environmental fragility (PEF) were analyzed, along with four new factors to tackle emerging fragility (EEF). This study holds significant value as it focuses on a region profoundly affected by stone crushing industries, which encounter considerable threats of environmental harm. The results of the PEF model showed that high and very high fragility zones accounted for 23.96% and 22.38% of the area, according to the AHP and FAHP models. Similarly, EEF models highlighted a growing fragility, with FAHP and AHP indicating that 27.85% and 16.80% of the region were categorized as having high and very high fragility. Hotspot analysis indicated that environmentally fragile hotspots constituted 21.07% and 31.46% of the area in the AHP and FAHP-based models, respectively. ROC validation indicated that FAHP demonstrated superior performance compared to AHP in both PEF and EEF models, highlighting its exceptional predictive accuracy and reliability. The observed negligible difference between high and low sensitive parameters was 0.866% in FAHP-based PEF and 0.532% in FAHP-based EEF, indicating the models’ reliability. The findings of the study will help policymakers, planners, and stakeholders to develop environmentally resilient strategies and policies as well as achieve sustainability in the study region.</div></div>","PeriodicalId":100582,"journal":{"name":"Geosystems and Geoenvironment","volume":"5 1","pages":"Article 100460"},"PeriodicalIF":0.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145157971","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}