Arabian Journal of Geosciences最新文献

筛选
英文 中文
Petrovolcanic stratigraphy of Jita River section in the Northeastern sector of the Ethiopian Flood basalt province
IF 1.827
Arabian Journal of Geosciences Pub Date : 2025-03-17 DOI: 10.1007/s12517-025-12229-x
Endayen Belay, Dereje Ayalew, Bekele Abebe
{"title":"Petrovolcanic stratigraphy of Jita River section in the Northeastern sector of the Ethiopian Flood basalt province","authors":"Endayen Belay,&nbsp;Dereje Ayalew,&nbsp;Bekele Abebe","doi":"10.1007/s12517-025-12229-x","DOIUrl":"10.1007/s12517-025-12229-x","url":null,"abstract":"<div><p>The Jita River volcanic series is situated in the northeastern Ethiopian volcanic province; the area provides a well-preserved stratigraphic sequence from lower basalt formation to upper lava flow termination. The main objective of the study is to establish the petrostratigraphy of the area and use these observations for the reconstruction of magmatic conditions along a well-exposed volcanic section. The major volcanic units of the Jita section from bottom to top are aphyric-intergranular basalt, aphyric-trachy basalt flow, augite cumulophyric basalt, olivine-augite phyric basalt, kfs vitrophyric rhyolite, augite phyric basalt, aphyric columnar basalt, moderately welded tuff, kfs phyric rhyolitic-ignimbrite, kfs phyric rhyolite, columnar-aphyric basalt, and slightly vesicular aphyric basalt. Petrographically, these volcanic rocks have different modal mineralogy and textures, revealing that there is a variation in the depth of mineral fractionation and magma flux in the stratigraphy. The flows clearly showed a broad change in modal mineralogy and eruptive cyclicity, and these constraints were that they were pulsed with a fluctuating magmatic influx along the complex plumbing systems and over time fed by shallower magmatic plumbing reservoirs. Overall, this stratigraphic study provides a new insight into the magmatic evolution of the northeastern Ethiopian volcanic provinces. </p></div>","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":"18 4","pages":""},"PeriodicalIF":1.827,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143632412","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}
引用次数: 0
Mineralogy, geochemistry, and fluid inclusion studies of the Rayen Fe deposit, Iran: implications for ore genesis
IF 1.827
Arabian Journal of Geosciences Pub Date : 2025-03-15 DOI: 10.1007/s12517-025-12234-0
Balandeh Aminzadeh
{"title":"Mineralogy, geochemistry, and fluid inclusion studies of the Rayen Fe deposit, Iran: implications for ore genesis","authors":"Balandeh Aminzadeh","doi":"10.1007/s12517-025-12234-0","DOIUrl":"10.1007/s12517-025-12234-0","url":null,"abstract":"<div><p>The Rayen Fe deposit is located in the Urumieh-Dokhtar magmatic arc, a major metallogenic belt in Iran. The deposit consists of several hypogene orebodies that occur as high-grade lenticular massive magnetite bodies (up to 50 m long and 3 m wide). Magnetite geochemical compositions, microthermometric analysis of fluid inclusions, and magnetite oxygen isotope data were analyzed to constrain mineralization conditions and the genesis. The Fe mineralization is associated with the intrusion of an Eocene dioritic pluton into Cretaceous carbonate rocks. Magnetite is the most abundant ore mineral, accompanied by minor amounts of pyrite, chalcopyrite, hematite, and goethite. Pyroxene, garnet, quartz, amphibole, epidote, chlorite, and calcite are gangue minerals. The δ<sup>18</sup>O values of magnetite, ranging from + 0.15 to + 3.8‰, are consistent with precipitation from magmatic-hydrothermal fluids. The chemical signature of magnetite, including low mean concentrations of Al (0.268 wt.%), Ti (81.85 ppm), V (58.69 ppm), Cr (18.45 ppm), and Ni/Cr (mean = 3), LREE/HREE ratios (mean = 2.41), negative Ce (Ce/Ce* &lt; 1, 0.25–0.65), and positive Eu (Eu/Eu* = 1.08–4.08) anomalies, are consistent with a magmatic-hydrothermal source for the mineralization. Results from microthermometric analyses of fluid inclusions indicate that a magmatic-meteoric mixed fluid was responsible for ore mineralization at the Rayen deposit. The tectonic setting (magmatic arc; Urumieh-Dokhtar magmatic belt), the epigenetic nature of the mineralization, textural evidence, mineral assemblages, adjacent to the dioritic pluton, microthermometric data, oxygen isotope analyses, and geochemical characteristics of magnetite indicate that the mineralization process at the Rayen Fe deposit is similar to that of skarn-type Fe deposits.</p></div>","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":"18 4","pages":""},"PeriodicalIF":1.827,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143622094","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}
引用次数: 0
Provenance, weathering, and metallogenic characteristics of lateritic soils in the Koubou district, Eastern Cameroon
IF 1.827
Arabian Journal of Geosciences Pub Date : 2025-03-15 DOI: 10.1007/s12517-025-12231-3
Amaya Adama, Bisse Salomon Bertrant, Bokanda Ekoko Eric, Anyeku Njek Rexon, Boroh Andre William, Ngwang Nfor Bertrand
{"title":"Provenance, weathering, and metallogenic characteristics of lateritic soils in the Koubou district, Eastern Cameroon","authors":"Amaya Adama,&nbsp;Bisse Salomon Bertrant,&nbsp;Bokanda Ekoko Eric,&nbsp;Anyeku Njek Rexon,&nbsp;Boroh Andre William,&nbsp;Ngwang Nfor Bertrand","doi":"10.1007/s12517-025-12231-3","DOIUrl":"10.1007/s12517-025-12231-3","url":null,"abstract":"<div><p>The lateritic soils in the Eastern region of Cameroon were subject to geochemical investigation in order to unveil their source rock composition, tectonic setting, past weathering intensity, climate type, and metallogenic properties. Source rock binary plots of Al<sub>2</sub>O<sub>3</sub> vs. TiO<sub>2</sub>, Th/Sc, La/Co, and Cr/Th indicates a felsic composition origin for the studied lateritic soils. The lateritic soils reflect a tectonic background of passive origin revealed by plots of Log (SiO<sub>2</sub> vs. K<sub>2</sub>O/Na<sub>2</sub>O), DF (A-P)MT, DF1 vs. DF2, and DF (A-P)M. The high plagioclase lixiviation and weathering displayed by the studied laterites are signpost by the plagioclase index of alteration (PIA) and chemical index of alteration (CIA) within a hot humid climatic condition. The hot humid conditions that existed during the laterites’ formation revealed by the PIA and CIA is also supported by trace element ratios f Rb/Sr Al<sub>2</sub>O<sub>3</sub>/MgO, Sr/Cu, Sr/Ba, and Fe<sub>2</sub>O<sub>3</sub>/MnO. The ternary plot of SiO<sub>2</sub>-Al<sub>2</sub>O<sub>3</sub>-Fe<sub>2</sub>O<sub>3</sub> coupled with the ternary plot of Al<sub>2</sub>O<sub>3</sub>-Fe2O3-MnO indicates that the studied lateritic soil is classified as metalliferous to terrigenous bauxitic clay with evidence of weak lateritization.\u0000</p></div>","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":"18 4","pages":""},"PeriodicalIF":1.827,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143622091","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}
引用次数: 0
L-moments based regional frequency analysis on 1D flood analysis by solving regular energy equations in the urban areas
IF 1.827
Arabian Journal of Geosciences Pub Date : 2025-03-14 DOI: 10.1007/s12517-025-12233-1
Tuğçe Anılan, Hasan Oğulcan Marangoz, Misra Gumma Wara
{"title":"L-moments based regional frequency analysis on 1D flood analysis by solving regular energy equations in the urban areas","authors":"Tuğçe Anılan,&nbsp;Hasan Oğulcan Marangoz,&nbsp;Misra Gumma Wara","doi":"10.1007/s12517-025-12233-1","DOIUrl":"10.1007/s12517-025-12233-1","url":null,"abstract":"<div><p>The aim of this study was to employ flood frequency analysis integrated with GIS and HEC-RAS models to provide hazard maps for various return periods of flood discharge in the Değirmendere Basin, Trabzon, Türkiye. Point and regional flood frequency analyses were performed to estimate the flow rates for varying return periods. The L-moments method was used to calculate the distribution parameters of the annual maximum flow data from the regional stations. Based on the results of the regional flood frequency analysis, the HEC-RAS computational fluid dynamics software was employed to simulate the water surface profiles of Değirmendere using the mass conservation/momentum equations under steady flow conditions. Flood hazard maps were developed for flow rates with varying return periods. The results of the model provide a good representation of the flood risk region based on the detailed analysis of flood quantiles. The findings of this study can be used to inform flood management strategies and to enhance the resilience of urban regions to flood events.</p></div>","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":"18 4","pages":""},"PeriodicalIF":1.827,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143612236","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}
引用次数: 0
Assessing the efficacy of the post-stack processing in enhancing the quality of seismic data covering the Heba Oil Field, Abu Gharadig Basin, Egypt
IF 1.827
Arabian Journal of Geosciences Pub Date : 2025-03-14 DOI: 10.1007/s12517-025-12218-0
Hatem Farouk Ewida, Mohammad Abdelfattah Sarhan
{"title":"Assessing the efficacy of the post-stack processing in enhancing the quality of seismic data covering the Heba Oil Field, Abu Gharadig Basin, Egypt","authors":"Hatem Farouk Ewida,&nbsp;Mohammad Abdelfattah Sarhan","doi":"10.1007/s12517-025-12218-0","DOIUrl":"10.1007/s12517-025-12218-0","url":null,"abstract":"<div><p>The present study deals with improving the seismic data quality to better interpret the subsurface structure of the Heba Oil Field using post-stack seismic data processing. Potential hydrocarbon accumulations have been discovered in the study area as deep as the Cretaceous Bahariya reservoirs. The seismic data used for these discoveries was processed mainly for this shallow section. The main target of this research is to enhance, mainly, the seismic imaging of the deeper section to help identify the deeper structures that could represent potential traps. Despite the seismic data processing being used on stacked seismic sections, i.e., post-stack processing, it enhanced not only the deeper section of the data but also the shallow. Time-variant frequency filtering (TVF) and predictive deconvolution were found to be the most effective processing techniques to increase the seismic resolution and, in turn, improve the data imaging quality. Several dipping reflectors representing deep geologic structures have been imaged with good continuity and remarkable geometry.</p></div>","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":"18 4","pages":""},"PeriodicalIF":1.827,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143612235","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}
引用次数: 0
Mapping the tidal flats of Kuwait Bay using Sentinel-2 data and GEE
IF 1.827
Arabian Journal of Geosciences Pub Date : 2025-03-12 DOI: 10.1007/s12517-025-12226-0
Nawaf Almutairi, Jenan Bahzad
{"title":"Mapping the tidal flats of Kuwait Bay using Sentinel-2 data and GEE","authors":"Nawaf Almutairi,&nbsp;Jenan Bahzad","doi":"10.1007/s12517-025-12226-0","DOIUrl":"10.1007/s12517-025-12226-0","url":null,"abstract":"<div><p>Tidal flats, unique coastal wetlands, offer vital ecological services such as pollutant removal, carbon storage, and shoreline stability. Kuwait Bay hosts the Arabian Gulf’s largest tidal flat ecosystem, which is crucial for biodiversity. Despite their importance, these tidal flats face threats from nature and human activities, leading to a widespread decline in their spatial extent. This study aims to map Kuwait Bay’s tidal flats with Sentinel-2 data and the Google Earth Engine (GEE) platform. Spectral index analysis revealed that the mNDWI is the most suitable index for representing the maximal water extent, whereas the NDVI is appropriate for determining the minimal water extent. The performance of each index is validated through confusion matrices, with overall accuracies ranging between 96 and 87% and <i>F</i>1 scores ranging between 0.87 and 0.93. The combination of the GEE platform with index analysis, image processing, and accuracy assessment techniques offers a precise mapping method at local and national scales in arid areas. The results revealed that Kuwait Bay’s tidal flats cover 157.2 km<sup>2</sup>, with 60% along the northern coast of Kuwait Bay and 40% in Sulibikhat Bay and Doha Bay. This study represents the first attempt to map tidal flats in the Arabian Gulf region and will assist in developing monitoring and protection strategies, tracking tidal flat evolution, and achieving sustainable development goals related to coastal and marine environments.</p></div>","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":"18 4","pages":""},"PeriodicalIF":1.827,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594669","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}
引用次数: 0
Climate change impact on Ethiopian alluvial groundwater
IF 1.827
Arabian Journal of Geosciences Pub Date : 2025-03-04 DOI: 10.1007/s12517-025-12223-3
Tesema Kebede Seifu, Gera Techane
{"title":"Climate change impact on Ethiopian alluvial groundwater","authors":"Tesema Kebede Seifu,&nbsp;Gera Techane","doi":"10.1007/s12517-025-12223-3","DOIUrl":"10.1007/s12517-025-12223-3","url":null,"abstract":"<div><p>Alluvial aquifers are valuable geological assets, and their productivity is reliant on the prevailing weather patterns. The study is aimed at investigating the climatic impact on the alluvial aquifers in two separate regions of Ethiopia: the western catchment (Gambela) and the eastern catchment (Somali). The research locations are characterized by semi-arid conditions and are particularly vulnerable to climate change effects. These effects of climate change on groundwater resources were assessed using global climate models and land cover data for two time periods: the present (2011–2040) and the future (2041–2070). The research was conducted using actual crop evapotranspiration (AETc), effective precipitation, and the De Martone Aridity Index (DMI) by using the spatial–temporal method. The technique employs a deduction grid to merge the effective precipitation and DMI for evaluating the effect of climate on groundwater giving five classes of effects, from very low to very high. The results show that all AETc, effective precipitation, and DMI vary both spatially and temporally for the coming periods. These changes were more pronounced in the western catchment (WC) than in the eastern catchment (EC). The present period’s impacts are most noticeable in the western region (near Jikawo) of WC, as well as in the northern (Shinile and Aysha) and southern (Deghabur) parts of EC. High and very high climatic effect zones will increase spatial coverage in those regions. The impact of climate change estimation was supported by empirical analysis of the potential recharge. The future potential recharge is reduced in magnitude in both catchments. The climate susceptibility study is significant for the two regions in managing precious water resources, such as groundwater.</p></div>","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":"18 4","pages":""},"PeriodicalIF":1.827,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143533063","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}
引用次数: 0
Lineaments and hydrothermal alteration mapping in the Arkawit area, NE Sudan: insights from remote sensing
IF 1.827
Arabian Journal of Geosciences Pub Date : 2025-03-04 DOI: 10.1007/s12517-025-12222-4
Talha Mohamed Yousif, Olawale Kayode Aromolaran, Khalid Mustafa Kheiralla
{"title":"Lineaments and hydrothermal alteration mapping in the Arkawit area, NE Sudan: insights from remote sensing","authors":"Talha Mohamed Yousif,&nbsp;Olawale Kayode Aromolaran,&nbsp;Khalid Mustafa Kheiralla","doi":"10.1007/s12517-025-12222-4","DOIUrl":"10.1007/s12517-025-12222-4","url":null,"abstract":"<div><p>Utilizing remote sensing data is a common protocol in mineral exploration, particularly during the initial stages of identifying alteration zones and understanding the interrelationships between tectonic structures and mineral deposits. The primary objective of this research is to identify and optimize lineaments for the purpose of locating areas of hydrothermal alterations with regard to orogenic gold deposits in the Arkawit area of NE Sudan’s Haya terrain. Landsat-8 OLI, ASTER, and SRTM DEM data were employed. A suite of digital image processing techniques, including false color composites, band ratio, decorrelation stretching, and principal component analysis, was employed to extract useful information and derive insights from the datasets. Landsat-8 OLI effectively delineates the hydrothermal alteration zones, which are predominantly located in the central part of the study area. In addition, the ASTER data has revealed distinctive argillic, phyllic, and propylitic alteration characteristics. The integration of lineaments extracted from Landsat-8 OLI and SRTM DEM analyses culminated in the identification of three primary directions, namely, NE-SW, N-S, and E-W. Subsequently, the resulting alteration zones were classified into four categories based on their intensity: high, moderate, low, and very low. This study demonstrates that the density of lineaments within the study area is positively correlated with the intensity of the alteration zones.</p></div>","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":"18 4","pages":""},"PeriodicalIF":1.827,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143533061","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}
引用次数: 0
Understanding the spatiotemporal dynamics of vegetation cover change (VCC) in the Teesta basin: a geospatial and statistical modelling–based investigation of environmental and human factors 了解蒂埃斯塔盆地植被覆盖变化(VCC)的时空动态:基于地理空间和统计建模的环境和人为因素调查
IF 1.827
Arabian Journal of Geosciences Pub Date : 2025-03-03 DOI: 10.1007/s12517-025-12215-3
Debarshi Ghosh, Apurba Sarkar, Sanjoy Mandal
{"title":"Understanding the spatiotemporal dynamics of vegetation cover change (VCC) in the Teesta basin: a geospatial and statistical modelling–based investigation of environmental and human factors","authors":"Debarshi Ghosh,&nbsp;Apurba Sarkar,&nbsp;Sanjoy Mandal","doi":"10.1007/s12517-025-12215-3","DOIUrl":"10.1007/s12517-025-12215-3","url":null,"abstract":"<div><p>This study presents an insightful analysis of vegetation cover change (VCC) within the Teesta Basin, utilizing various statistical models and geospatial techniques. The Ordinary Least Squares (OSL) regression model reveals a modest explanatory power with an adjusted <i>R</i><sup>2</sup> of 0.1398, indicating its ability to account for approximately 13.98% of the variance in the data. This model, however, hints at potential heteroscedasticity and non-normal distribution of errors. In contrast, the geographically weighted regression (GWR) model, accounting for 84.556% of the variance, demonstrates a robust spatial heterogeneity in the relationships between the variables, offering a more nuanced understanding of the regional disparities. The study further incorporates a hot spot analysis using the Getis-Ord Gi* statistic, which exposes significant spatial clustering patterns in VCC, emphasizing the influence of both environmental and anthropogenic factors. The Boosted Regression Tree (BRT) model, with a substantial relative influence of 44.11% from ‘Population Proximity’, highlights the critical role of human-driven factors in vegetation dynamics. This model shows a moderate to strong correlation in predicting NDVI values. Analysis of seasonal trends reveals a cyclic pattern in NDVI values, indicating pronounced seasonal variations and negative trends in vegetation activity over time, particularly in the lower basin area. The Mann–Kendall time series analysis further confirms this declining vegetation trend. The study’s findings are crucial for understanding the spatial and temporal dynamics of vegetation cover in the Teesta Basin. They underscore the importance of considering both environmental and human-driven factors in conservation strategies, especially in protected forest regions.</p><h3>Graphical Abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":"18 3","pages":""},"PeriodicalIF":1.827,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143529999","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}
引用次数: 0
Enhanced weather extremes and climatic stresses in the last four decades and future predictions urging mangrove restoration and resilient agriculture in the Sundarban, India
IF 1.827
Arabian Journal of Geosciences Pub Date : 2025-03-01 DOI: 10.1007/s12517-025-12211-7
Shanmugam Vijayakumar, Pratap Bhattacharyya, Soumya Ranjan Padhy, Pradeep Kumar Dash, Narayanan Manikandan
{"title":"Enhanced weather extremes and climatic stresses in the last four decades and future predictions urging mangrove restoration and resilient agriculture in the Sundarban, India","authors":"Shanmugam Vijayakumar,&nbsp;Pratap Bhattacharyya,&nbsp;Soumya Ranjan Padhy,&nbsp;Pradeep Kumar Dash,&nbsp;Narayanan Manikandan","doi":"10.1007/s12517-025-12211-7","DOIUrl":"10.1007/s12517-025-12211-7","url":null,"abstract":"<div><p>Climate change–induced phenomena, including rising sea levels and extreme weather events like floods and drought, are significantly affecting the Sundarban mangrove ecosystems. This study investigates trends in nine temperature and eight precipitation extreme weather indices for the Indian-Sundarban region using daily historical weather data (1982–2017) and the RClimDex graphical interface. Future climate projections were generated using statistical downscaling of an ensemble mean from 19 general circulation models under Representative Concentration Pathway (RCP) 4.5 and RCP 8.5 scenarios. The results indicate significant change over the past four decades, including increased annual mean minimum temperatures, reduced cool nights, more warm nights, fewer cool days, and a decreased diurnal temperature range. Precipitation trends show a rise in heavy rainy days, along with longer consecutive dry and wet periods. Future projections reveal a consistent increase in annual rainfall under RCP 4.5 (0.3–3.8%) and RCP 8.5 (3.0–6.3%), alongside a gradual increase in mean temperatures under RCP 4.5 (up to 1.2 °C for minimum and 1.3 °C for maximum temperature) and sharper increases under RCP 8.5 (up to 2.9 °C for minimum and 3.0 °C for maximum temperatures). These trends highlight the escalating risks to Sundarban mangroves, which are critical for protecting the mainland from flooding, tidal waves, cyclones, and coastal erosion. Enhanced extreme events, such as increased flooding and droughts, underscore the urgent need for robust conservation measures, including mangrove restoration and climate-resilient agriculture. Linking adaptation and mitigation strategies with a strong policy framework is essential to safeguard the Sundarban ecosystem and its vital services.</p></div>","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":"18 3","pages":""},"PeriodicalIF":1.827,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143521620","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}
引用次数: 0
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信