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Impact of extremely low porosity on geothermal gradient and fluid migration in gas hydrate-bearing layers: A case study of South Shetland Islands, Antarctic Peninsula 极低孔隙度对含天然气水合物地层地温梯度和流体运移的影响——以南极半岛南设得兰群岛为例
IF 2 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2025-09-01 Epub Date: 2025-08-28 DOI: 10.1016/j.sesci.2025.100262
Doğa Düşünür Doğan , Selvican Türkdoğan , Neslihan Ocakoğlu , Umberta Tinivella , Michela Giustiniani , Zehra Altan , Sinan Arık
Numerical fluid flow models were employed for the first time to study gas hydrates in South Shetland Islands, Antarctic Peninsula. The complexity of its geology, added to the remote and environmentally sensitive characteristics, makes it a very unique natural laboratory, where studying processes that could influence gas hydrate stabilityremains highly challenging. Based on seismic data, a marine subsurface model was created and fluid flow simulations carried out with ANSYS Fluent. Key inputs like sediment thickness, in-situ faults, and fractures, and water column dimensions were obtained from seismic sections. The same value of thermal and physical rock properties was assumed for each geological unit; the mesh structure was developed using triangular discretization. Four numerical models were constructed to investigate how variations in porosity, particularly under extremely low-porosity conditions, might affect thermal and fluid flow behavior within hydrate-bearing sediments. Porosity values of 0.01, 0.05, 0.1, and 0.2 were systematically applied to represent the low-porosity regimes. The results highlight that, especially at extremely low porosity, porosity together with fault density and seafloor bathymetry can strongly shape the distribution of heat transfer and fluid migration patterns. While the models do not directly simulate gas hydrate dissolution, the findings suggest that localized thermal anomalies and structural complexities could potentially create conditions favorable to destabilization processes. These insights contribute to a better understanding of the geophysical and hydrodynamic factors that may influence gas hydrate systems in complex and sensitive geological settings.
首次采用数值流体流动模型对南极半岛南设得兰群岛天然气水合物进行了研究。其地质的复杂性,加上偏远和环境敏感的特点,使其成为一个非常独特的自然实验室,在这里,研究可能影响天然气水合物稳定性的过程仍然极具挑战性。基于地震资料,建立海洋地下模型,利用ANSYS Fluent软件进行流体流动模拟。从地震剖面中获得沉积物厚度、原位断层和裂缝以及水柱尺寸等关键输入。假设每个地质单元的岩石热物理性质值相同;采用三角离散法建立网格结构。建立了四个数值模型来研究孔隙度的变化,特别是在极低孔隙度条件下,如何影响含水合物沉积物中的热和流体流动行为。孔隙度值分别为0.01、0.05、0.1和0.2,系统地代表了低孔隙度区。结果表明,特别是在极低孔隙度下,孔隙度、断层密度和海底水深对传热和流体运移模式的分布具有重要影响。虽然这些模型不能直接模拟天然气水合物的溶解,但研究结果表明,局部的热异常和结构复杂性可能为不稳定过程创造有利条件。这些见解有助于更好地理解在复杂和敏感的地质环境中可能影响天然气水合物系统的地球物理和水动力因素。
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引用次数: 0
Application of machine learning in python for temporal groundwater level prediction python语言中机器学习在地下水位预测中的应用
IF 2 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2025-09-01 Epub Date: 2025-08-28 DOI: 10.1016/j.sesci.2025.100261
Tade Mule Asrade
Groundwater is a critical resource for sustaining agricultural, domestic, and ecological needs in the Upper Blue Nile Basin of Ethiopia, where rapid population growth and climate variability have intensified water stress. The Temecha River Catchment, part of this basin, faces recurrent droughts and declining groundwater levels, underscoring the need for effective groundwater management strategies. One promising approach is Managed Aquifer Recharge (MAR), whose success relies heavily on accurate groundwater level monitoring and forecasting. Although MAR decisions are influenced by hydrogeological and land use factors, hydraulic head data are essential for determining recharge timing and suitability. This study evaluates the performance of five machine learning models—Gradient Boosting Regression (GBR), Support Vector Machine (SVM), Random Forest (RF), Decision Tree (DT), and Linear Regression (LR)—for predicting groundwater level fluctuations in the Temecha River Catchment from 1995 to 2023. Rainfall, temperature, and evapotranspiration were used as predictive variables. Among the models, GBR showed superior performance, with a Mean Absolute Error (MAE) of 0.07 m, Nash-Sutcliffe efficiency (NSE) of 0.7934 m, Coefficient of Determination (R2) of 0.7856, and Percent Bias (PBIAS) of −2.408 %. The results demonstrate GBR's effectiveness in groundwater level forecasting and support its application in data-scarce regions to inform sustainable water resource management. However, adaptation to other regions must consider local hydrogeological and climatic conditions.
One sentence summary: This study explores the use of machine learning techniques in Python to predict temporal groundwater levels in the Temecha River Catchment.
在埃塞俄比亚的上青尼罗河流域,地下水是维持农业、家庭和生态需求的关键资源,该地区人口的快速增长和气候变化加剧了水资源压力。作为该盆地一部分的Temecha河集水区面临着经常性干旱和地下水水位下降的问题,这凸显了制定有效地下水管理战略的必要性。一种很有前景的方法是管理含水层补给(MAR),其成功在很大程度上依赖于准确的地下水位监测和预测。尽管MAR决策受到水文地质和土地利用因素的影响,但水头数据对于确定补给时间和适宜性至关重要。本研究评估了梯度增强回归(GBR)、支持向量机(SVM)、随机森林(RF)、决策树(DT)和线性回归(LR)五种机器学习模型的性能,用于预测1995年至2023年特梅恰河流域地下水水位波动。降雨、温度和蒸散量被用作预测变量。其中,GBR模型的平均绝对误差(MAE)为0.07 m, Nash-Sutcliffe效率(NSE)为0.7934 m,决定系数(R2)为0.7856,百分比偏差(PBIAS)为- 2.408%,表现出较好的性能。结果证明了GBR在地下水位预测中的有效性,并支持其在数据稀缺地区的应用,为可持续水资源管理提供信息。然而,适应其他地区必须考虑当地的水文地质和气候条件。一句话总结:这项研究探索了在Python中使用机器学习技术来预测Temecha河集水区的地下水水位。
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引用次数: 0
Quantifying CO2 in apatite by multiple unpolarized transmission FTIR analyses 用多次非偏振透射FTIR分析定量磷灰石中的CO2
IF 2 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2025-09-01 Epub Date: 2025-08-22 DOI: 10.1016/j.sesci.2025.100260
Zhide Pu , Zhuoran Zhang , Xinjian Bao , Weiran Li , Xi Liu
CO2 is a key volatile component in various fluids and magmas, and apatite is an ideal mineral for constraining the abundance, distribution and behavior of CO2 in different materials of the Solar System. In sharp contrast to water, CO2 in apatites has not been routinely investigated mainly due to lacking user-friendly analytical technique. Here we have developed a user-friendly analytical technique. By a Durango apatite crystal with a CO2 content of ∼277 (44) wt ppm, we performed 17 successful unpolarized transmission FTIR analyses on its randomly-selected fragments with unknown orientations. These analyses well reproduced the CO2 content, attaining a relative difference of ∼9 % only. Simple calculations carried out with this dataset suggest that as the number of the analyses increases from one, the accuracy of the result nonlinearly increases, being very fast at the first few analyses and much slower afterwards. Consequently, there are different minimum numbers of the analyses to meet different degrees of accuracy which may be required by different studies: it is highly unlikely to reach a result of any good by conducting one analysis only, but generally possible to arrive at a result with acceptable accuracy by performing two or three analyses, and almost certain to obtain a good result with high accuracy by collecting four or five analyses. If 10 or more analyses are possible, the accuracy of the result can be exceedingly high, with an absolute relative difference of < ∼10 %. With this user-friendly new method employing multiple unpolarized transmission FTIR analyses on randomly oriented crystals, quantifying CO2 in tiny apatite grains in different terrestrial and extraterrestrial materials can be readily actualized.
二氧化碳是各种流体和岩浆的关键挥发成分,而磷灰石是限制太阳系不同物质中二氧化碳丰度、分布和行为的理想矿物。与水形成鲜明对比的是,由于缺乏用户友好的分析技术,磷灰石中的二氧化碳尚未进行常规研究。在这里,我们开发了一种用户友好的分析技术。通过二氧化碳含量为~ 277 (44)wt ppm的杜兰戈磷灰石晶体,我们对其随机选择的未知取向碎片进行了17次成功的非偏振透射FTIR分析。这些分析很好地再现了CO2含量,获得的相对差异仅为~ 9%。用这个数据集进行的简单计算表明,随着分析次数的增加,结果的准确性非线性地增加,在最初的几次分析中非常快,然后慢得多。因此,不同的研究可能需要不同的最小分析数量来满足不同程度的准确性:仅进行一次分析是极不可能达到任何好的结果的,但通常可能通过进行两次或三次分析来获得具有可接受精度的结果,并且几乎可以肯定通过收集四次或五次分析来获得高精度的好结果。如果可以进行10次或更多的分析,则结果的准确性可能非常高,绝对相对差为<; ~ 10%。利用这种友好的新方法对随机取向晶体进行多次非偏振透射FTIR分析,可以很容易地实现不同地球和地外物质中微小磷灰石颗粒中CO2的定量。
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引用次数: 0
Petrography and geochemistry of alkaline rocks from Michni (Warsak) area, NW Himalayas, Pakistan: Insights into petrogenesis and tectonic setting 巴基斯坦西北喜马拉雅Michni (Warsak)地区碱性岩的岩石学和地球化学:岩石成因和构造背景的启示
IF 2 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2025-09-01 Epub Date: 2025-06-26 DOI: 10.1016/j.sesci.2025.100254
Muhammad Jawad Zeb , Mehboob ur Rashid , Ihtisham Islam , Salman Ahmed Khattak , Waqas Ahmed
The Michni area within the Warsak complex that is part of the Peshawar plain alkaline igneous province (PPAIP) in NW Pakistan, hosts a diverse suite of alkaline and carbonatitic rocks whose origin and evolution remain poorly constrained. This study focuses on this locality due to its complex lithological assemblage and the first discovery of carbonatite intrusions in the area, which fills a significant gap in the regional petrogenetic framework. Detailed fieldwork, petrographic analysis, and whole-rock geochemistry (XRF-based major and trace elements) were employed to investigate the petrogenesis and tectonic setting of these rocks. The intrusive suite includes pyroxenite, melteigite, ijolite, urtite, nepheline syenite, fenite, and both calcio- and ferro-carbonatites. Geochemical data reveal strong silica undersaturation and systematic fractionation trends, indicating magmatic differentiation from a shared parental magma. Pervasive fenitization and secondary phases such as cancrinite, phlogopite, and carbonate suggest metasomatic alteration driven by late-stage carbonatitic fluids. While petrographic and geochemical coherence supports a potential genetic link between silicate and carbonatite suites. This study enhances understanding of the magmatic and metasomatic evolution in PPAIP and recommends future high-resolution isotopic and mineral chemical analyses to further constrain magma source characteristics and alteration processes.
位于巴基斯坦西北部白沙瓦平原碱性火成岩省(PPAIP)的Warsak复合体内的Michni地区拥有多种碱性和碳酸盐岩,其起源和演化仍不清楚。该区岩性组合复杂,首次发现碳酸盐岩侵入体,填补了区域成岩格局的重要空白。通过详细的野外调查、岩石学分析和全岩地球化学(基于xrf的主微量元素)研究了这些岩石的岩石成因和构造背景。侵入岩组包括辉石岩、熔辉岩、铁辉岩、黑钨矿、霞石正长岩、白云石以及钙碳酸盐和铁碳酸盐。地球化学数据显示石英欠饱和强,分馏趋势系统,表明岩浆分异来自一个共同的母岩浆。普遍存在的磷化作用和次生相,如癌质岩、云母岩和碳酸盐,表明晚期碳酸盐流体驱动的交代蚀变。而岩石学和地球化学的一致性支持硅酸盐和碳酸盐岩层之间潜在的遗传联系。该研究提高了对PPAIP岩浆和交代演化的认识,并建议未来进行高分辨率同位素和矿物化学分析,以进一步约束岩浆来源特征和蚀变过程。
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引用次数: 0
Hydrogeochemical characterization and quality assessment of groundwater resources in Amtali Upazila, Barguna: A study of coastal Bangladesh 巴古纳Amtali Upazila地下水资源的水文地球化学特征和质量评价:孟加拉国沿海地区的研究
IF 2 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2025-09-01 Epub Date: 2025-06-26 DOI: 10.1016/j.sesci.2025.100252
Afroz Jahan , Sukhen Goswami , Md. Jakir Hossain , Sujan Mallik , Mehedi Hasan Ovi , Mahfuzur Rahman , Mahmud Al Noor Tushar , Sarmin Sultana , Dhiman Kumer Roy
The coastal regions of Bangladesh are highly vulnerable to saline water intrusion due to excessive groundwater abstraction, rising sea levels, and frequent tropical disasters. Among these, Amtali Upazila in Barguna District faces significant challenges in maintaining groundwater quality, necessitating a comprehensive assessment. This study evaluates the hydrogeochemical characteristics of groundwater and assesses its suitability for drinking and irrigation. To achieve this, groundwater samples collected from a deep aquifer (260–350 m) across 23 locations were analyzed using hydrogeochemical, geospatial, and statistical methods. The major ionic composition follows the order Na+ > Mg2+ > K+ > Ca2+ and HCO3 > Cl > SO42− > NO3 for cations and anions, respectively. Piper and Gibbs diagrams classify the groundwater (GW) as Na–HCO3 type, with ion exchange and rock–water interactions being the dominant geochemical processes. Water quality indices, including the Water Quality Index (WQI) and Sodium adsorption ratio (SAR), Sodium Concentration (SC), and Kelly's Ratio (KR), indicate that 73.9 % of the samples are suitable for drinking, whereas most samples are unsuitable for irrigation. Multivariate statistical analysis (correlation matrix, cluster analysis, and principal component analysis) confirms that geogenic processes primarily influence groundwater quality. The findings provide critical insights for policymakers and local authorities in formulating sustainable groundwater management strategies, ensuring safe drinking water, and mitigating irrigation challenges in the region.
由于过度抽取地下水、海平面上升和频繁的热带灾害,孟加拉国沿海地区极易受到盐水入侵的影响。其中,巴尔古纳区的Amtali Upazila在维持地下水质量方面面临重大挑战,需要进行全面评估。研究评价了地下水的水文地球化学特征,评价了地下水的饮用和灌溉适宜性。为了实现这一目标,从23个地点的深层含水层(260-350米)收集的地下水样本使用水文地球化学、地理空间和统计方法进行了分析。主要离子组成为:Na+ >;Mg2 +比;K +比;Ca2+和HCO3 - >;Cl−祝辞SO42−祝辞NO3 -分别表示阳离子和阴离子。Piper图和Gibbs图将地下水划分为Na-HCO3型,以离子交换和岩水相互作用为主要的地球化学过程。水质指数(WQI)、钠吸附比(SAR)、钠浓度(SC)、凯利比(KR)等水质指标表明,73.9%的样品适合饮用,大部分样品不适合灌溉。多变量统计分析(相关矩阵、聚类分析和主成分分析)证实了地质过程主要影响地下水质量。研究结果为决策者和地方当局制定可持续地下水管理战略、确保安全饮用水和缓解该地区的灌溉挑战提供了重要见解。
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引用次数: 0
Petrography and U/Th dating of travertine deposits in Bongongo (Cameroon volcanic line): Implication for paleoclimate, hydrothermalism and tectonism Bongongo(喀麦隆火山岩线)钙华矿床的岩石学和U/Th定年:古气候、热液作用和构造作用的意义
IF 2 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2025-09-01 Epub Date: 2025-09-03 DOI: 10.1016/j.sesci.2025.100263
Bisse Salomon Bertrant , Bokanda Ekoko Eric , Florence Njinto Kwankam , Ashukem Ethel Nkongho , Nfor Ngwakfu Shannon , Adama Amaya , Ekomane Emile
The studied travertine deposits have been analysed using sedimentology, petrography and geochronology to evaluate their resurgence variation, Neotectonic reconstruction, hydrothermal/paleohydrology, and tectonic influence for their precipitation. These deposits display a dome structure with milimetric layers containing some dicotyledonous leaf prints mainly of angiospermic plants class and animal traces. Traces of gastropods fossil and imprinted plant leaves are seen scattered all over the samples. Microscopically, the travertine reveal laminae characterising a long spike-like dendritic millimetric crystals. The spike-like structure composed of crystals calcite enclosing putative microbial filaments which are longitudinal within some places, micrite partially filling inter-crystalline voids. The petrographic characteristics of the travertine corroborated with isotopic analyses, reveals processes such temperature variation, degassing variation, fluctuations of the physico-chemical fluid and dissolution as controlling factors to the formation of the different carbonates textures. Four units representing different sample points discloses ages of 19.839 ± 4.8 ka, 50.3645 ± 9.4 ka b2k, 2.00 ± 1.8ka b2k and 5.77 ± 1.7ka b2k. Conclusions drew from the study suggest that, (1) a forest vegetation type testifying to a humid climate prevailed at the time of the travertine precipitation, (2) there were repeated reactivation of fault systems as well as episodic high hydraulic head in the aquifers underlined by U-series dating that showthe presence of different spring systems generations in the travertine deposits (3) three phases of travertinization were disclose: first phase (Upper Pleistocene, ca 50 ka b2k), marked by significant and regular rainfall leading precipitation of massive travertine deposits, second phase (Between 50 ka b2k and 19 ka b2k), marked periodicity of rainfall forming laminated travertine, third phase (beginning of the Holocene between 5.77 ± 1.7ka b2k and 2.00 ± 1.8ka b2k), marked by obstruction of the main canal of circulation inducing a possible change of exsurgence forming new deposits recorded at the base of the dome (4) the travertine precipitation was influence by hydrothermal system and recent extensional tectonic activities owing to the presence of saline springs.
利用沉积学、岩石学和年代学等方法对所研究的石灰华矿床进行了分析,评价了其回潮变化、新构造重建、热液/古水文以及构造对其降水的影响。这些沉积物呈毫米层状的圆顶结构,含有以被子植物类为主的双子叶叶印痕和动物印痕。腹足类动物化石和植物叶片的痕迹遍布整个样本。显微镜下,石灰华显示出具有长尖状树枝状毫米晶体特征的层状结构。晶体方解石组成的尖状结构包裹着假定的微生物细丝,在某些地方是纵向的,泥晶部分填充晶间空隙。钙华的岩石学特征与同位素分析相吻合,揭示了温度变化、脱气变化、物化流体波动和溶蚀作用等过程是不同碳酸盐结构形成的控制因素。代表不同采样点的4个单元显示年龄分别为19.839±4.8 ka、50.3645±9.4 ka b2k、2.00±1.8ka b2k和5.77±1.7ka b2k。研究结果表明:(1)钙华沉积时期为森林植被类型,气候湿润;(2)u系列测年结果表明,断层系统反复活化,含水层水头间歇性高,表明钙华沉积存在不同的泉水系统世代;(3)钙华化的三个阶段:第一阶段(上更新世,约50 ka b2k),以显著而规律的降雨为标志,形成块状钙华矿床;第二阶段(50 ka b2k至19 ka b2k),以降雨形成层状钙华的周期性为标志;第三阶段(全新世初,5.77±1.7ka b2k至2.00±1.8ka b2k)。以环流主通道的阻塞为标志,可能会引起水流的变化,形成在穹窿底部记录的新矿床(4),钙华降水受热液系统和近期伸展构造活动的影响,由于盐泉的存在。
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引用次数: 0
Enhancing reservoir landslide displacement prediction with crack width data integration: A case study of the Daping landslide 利用裂缝宽度数据集成加强水库滑坡位移预测——以大坪滑坡为例
IF 2 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2025-09-01 Epub Date: 2025-06-20 DOI: 10.1016/j.sesci.2025.100253
Ningxin Weng, Lei Fan, Cheng Chen
Existing studies on predicting reservoir landslide displacements primarily focus on rainfall and reservoir water level (RWL) as the main factors influencing landslide movement. However, these studies overlook the potential role of crack width, even though landslide cracks are critical indicators of landslide formation and movement. Currently, no predictive models in this domain have integrated crack width alongside rainfall and RWL. In response to this gap, this study investigates the predicative performance of models that combines crack width, rainfall and RWL as the set of input factors for predicting temporal variations in the displacements of the Daping landslide within the Three Gorges Reservoir Area. The multiple wavelet coherence (MWC) method is used to determine optimal time lags between the combined input factors (i.e., rainfall, RWL and/or crack width) and the output (i.e., displacement). The raw data of these input factors within these time lags are integrated as the inputs to displacement prediction models during both training and prediction phases. Commonly used deep learning models, such as the deep neural network, gated recurrent unit, bidirectional long short-term memory and transformer architectures, are adopted in our experiment. Experimental results show that incorporating crack width data improves the accuracy of transient landslide displacement predictions compared to models that exclude crack width data, for the adopted prediction models.
现有的水库滑坡位移预测研究主要将降雨和水库水位作为影响滑坡运动的主要因素。然而,这些研究忽略了裂缝宽度的潜在作用,即使滑坡裂缝是滑坡形成和运动的关键指标。目前,该领域的预测模型还没有将裂缝宽度与降雨量和RWL结合起来。针对这一缺陷,本文研究了以裂缝宽度、降雨和RWL为输入因子的模型对三峡库区大坪滑坡位移时间变化的预测性能。多小波相干(MWC)方法用于确定组合输入因素(即降雨、RWL和/或裂缝宽度)与输出因素(即位移)之间的最佳滞后时间。在训练和预测阶段,将这些输入因素在这些时间滞后内的原始数据作为位移预测模型的输入。我们的实验采用了常用的深度学习模型,如深度神经网络、门控循环单元、双向长短期记忆和变压器结构。实验结果表明,对于所采用的预测模型,与不含裂缝宽度数据的模型相比,纳入裂缝宽度数据提高了瞬态滑坡位移预测的准确性。
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引用次数: 0
Provenance, diagenesis, and paleoclimate of Albian-Lower Turonian deposits in the Douala sub-basin, Cameroon: Sedimentological, mineralogical, and petrographical approaches 喀麦隆Douala次盆地中albian -下Turonian沉积物的物源、成岩作用和古气候:沉积学、矿物学和岩石学方法
IF 2 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2025-09-01 Epub Date: 2025-08-16 DOI: 10.1016/j.sesci.2025.100259
Christel Sobdjou-Kemteu , Milan Stafford Tchouatcha , Wael Fathi Galal , Soureiyatou Fadil-Djenabou , Usman Abubakar , Francis Thierry Togozo , Emmanuel Ndjeng
The sedimentological, mineralogical, and petrographic compositions of the Albian - Lower Turonian deposits at four sites in the northern part of the Douala sub-basin located in the heart of the Guinea Gulf were investigated to determine their provenance, paleoclimate, and diagenetic effects from thirty-eight (38) samples. Several lithologies are identified, ranging from clays/shales to silty clays, poor consolidated fine-to coarse-grained sandstones, and conglomerates to conglomeratic sandstones. The deposits are made up of successive positive sequences in the eastern part of the Mungo River and cyclic deposits in the western part. The sandstones are primarily arkose wacke, secondarily arkose, subarkose, sublith-arenite, and rare lithic arenite and wacke derived from the Neoproterozoic basement formed during the Pan-African orogenesis. The presence of heavy minerals such as tourmaline, kyanite and sillimanite indicates that the deposits originate from plutonic and metamorphic sources. The rarity of these latest in the sediments suggest the intense chemical weathering that has affected the source rocks. These deposits are mainly proximal. Additionally, the association of polycrystalline quartz with undulatory extinction and monocrystalline quartz with non-undulatory extinction suggests a mixed source. The various microstructures and morphologies of zircon grains including prismatic, sub-angular and sub-prismatic shapes further support a mixed provenance. The dominance of prismatic shape and non-undulatory monocrystalline quartz grains indicates a predominance of plutonic sources. X-ray diffraction analysis revealed that kaolinite is the dominant clay mineral found in clayey facies, though its moderate to low quantity indicates a more humid climate during the Albian-Cenomanian and a less humid climate during the Cenomanian. Physical alteration processes have mainly affected the studied deposits.
在几内亚湾中心的Douala次盆地北部的四个地点,研究了Albian -下Turonian沉积物的沉积学、矿物学和岩石学组成,以确定它们的来源、古气候和38个样品的成岩作用。确定了几种岩性,从粘土/页岩到粉质粘土,较差胶结的细粒砂岩到粗粒砂岩,砾岩到砾岩砂岩。蒙哥河东部为连续的正层序,西部为旋回沉积。砂岩主要为粗砂砂岩、次粗砂砂岩、次粗砂砂岩、次粗砂砂岩和罕见的岩屑砂砂岩和粗砂砂岩,它们来自泛非造山运动时期形成的新元古代基底。电气石、蓝晶石、硅线石等重质矿物的存在表明矿床来源于深部和变质岩。这些最新沉积物的稀有性表明,强烈的化学风化作用已经影响了烃源岩。这些矿床主要位于近端。此外,多晶石英具有波动消光,单晶石英具有非波动消光,表明其来源是混合的。锆石颗粒的棱柱形、次棱柱形和次棱柱形等多种微观结构和形态进一步支持了混合物源。棱柱形和非波动型单晶石英颗粒占主导地位,表明成矿物质以深成岩为主。x射线衍射分析表明,高岭石是粘土相中主要的粘土矿物,但高岭石含量偏少,表明阿尔—塞诺曼期气候较为湿润,塞诺曼期气候较为湿润。物性蚀变作用是影响矿床发育的主要因素。
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引用次数: 0
Assessment of land-use impacts on groundwater quality in parts of Port-Harcourt city, SE-Nigeria 尼日利亚东南部哈科特港部分地区土地利用对地下水质量的影响评估
IF 2 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2025-06-01 Epub Date: 2025-05-26 DOI: 10.1016/j.sesci.2025.100244
Azubuike S. Ekwere, Ledisi P. Baadom, Ebenezer A. Kudamnya
This study offers insights into the geochemistry and quality status of groundwater in Port Harcourt, situated in the sedimentary Niger Delta region in southern Nigeria. Groundwater was gathered at sampling sites in the city's residential, commercial, industrial, and remote areas that crossed over important land-use zones. Chemical analyses of the samples show that the waters vary in nutrient amounts and have traces of salt water intrusion. The waters are slightly acidic; chemical parameters and nutrient within limits of potable water. Cations and anions, respectively, are dominated by Ca > Mg > K > Na and Cl > HCO3>SO4>NO3. The heavy metals Pb, Cu, Zn, Cr, and Cd, revealed concentrations generally above acceptable limits, with the industrial areas reporting the highest concentration levels. Principal component analysis and correlation indicate presence of interrelationships among chemical species, linked to salinity, silicate weathering, and anthropogenic controls, and primarily responsible for the chemistry of water. Groundwater in the research area is classified as Ca–Mg–Cl–SO4 type by the hydrochemical facies plot. Water quality index (WQI) calculations show that different land-use zones have varied degrees of poor water quality. According to Pollution Index (PI) assessments, anthropogenic activities in and around the city are the reason for the high level of pollution in the groundwater.
这项研究为Harcourt港地下水的地球化学和质量状况提供了见解,该地区位于尼日利亚南部的尼日尔三角洲沉积地区。地下水是在城市的住宅、商业、工业和跨越重要土地利用带的偏远地区的采样点收集的。对这些样品的化学分析表明,这些水的营养含量各不相同,并且有盐水侵入的痕迹。水是微酸的;饮用水限度内的化学参数和营养成分。阳离子和阴离子分别以Ca和gt为主;Mg祝辞K比;Na和Cl >;HCO3> SO4> 3号。重金属铅、铜、锌、铬和镉的浓度普遍高于可接受限度,其中工业区报告的浓度最高。主成分分析和相关性表明,化学物种之间存在相互关系,与盐度、硅酸盐风化和人为控制有关,并主要负责水的化学性质。通过水化学相图将研究区地下水划分为Ca-Mg-Cl-SO4型。水质指数(WQI)计算表明,不同土地利用带存在不同程度的水质差。根据污染指数(PI)评价,城市内外的人为活动是造成地下水高污染的主要原因。
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引用次数: 0
Assessing aquifer vulnerability to seawater intrusion and impact of land use changes using GALDIT model in the southwest coastal region of Bangladesh 利用GALDIT模型评估孟加拉国西南沿海地区含水层对海水入侵的脆弱性和土地利用变化的影响
IF 2 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2025-06-01 Epub Date: 2025-04-07 DOI: 10.1016/j.sesci.2025.100240
Mohidar Hossain , Abu Jafor Mia , Md Jakir Hossain , Rina Akter , Dhiman Kumer Roy
Groundwater, the main drinking water source for coastal populations, is increasingly threatened by seawater intrusion in southwestern coastal districts of Bangladesh due to low elevation, sea proximity, cyclones, rising sea levels, coastal flooding and excessive shrimp farming. The aim of this study is to assess groundwater vulnerability in Bangladesh's southwestern coastal districts and evaluate the impact of land use changes on seawater intrusion. This study used the GALDIT method to map the vulnerability of southwest coastal aquifers to seawater intrusion, classifying the area into low (0.5 %), moderate (58.66 %), and high (40.84 %) vulnerability zones. The GALDIT vulnerability map shows that Shyamnagar, Kaliganj, and Satkhira Sadar in Satkhira district are highly vulnerable to seawater intrusion, while the other areas are moderately vulnerable. In Khulna district, most of the Upazilas are moderately vulnerable. In Bagerhat district, most of the Upazilas are classified as moderately vulnerable, while Sarankhola, Mongla and Morrelganj are identified as highly vulnerable. The most extensive irrigation development was observed in Satkhira district, particularly in Satkhira Sadar, Kolaroa, Assasuni, and Tala upazilas, classified as moderately vulnerable. The Dumuria upazila of Khulna district is highly vulnerable due to overexploitation of water for irrigation purposes. In Bagerhat district, where irrigation has recently expanded in Fakirhat and Mollahat, both are in the intermediate susceptibility zone. The LULC analysis shows a decline in agricultural and vegetative areas, alongside a rise in built-up regions and shrimp farming, primarily indicating the increasing of salinity levels in the study area. The dominance of brackish water shrimp farming across the study area suggests shallow groundwater aquifers may be at risk of seawater intrusion.
在孟加拉国西南沿海地区,由于海拔低、靠近海洋、气旋、海平面上升、沿海洪水和过度养殖虾类,地下水作为沿海人口的主要饮用水源正日益受到海水入侵的威胁。本研究的目的是评估孟加拉国西南沿海地区地下水脆弱性,并评估土地利用变化对海水入侵的影响。本研究利用GALDIT方法绘制了西南沿海含水层的海水入侵脆弱性图,将其划分为低(0.5%)、中(58.66%)和高(40.84%)3个脆弱性区。GALDIT脆弱性图显示,Satkhira地区的Shyamnagar、Kaliganj和Satkhira Sadar对海水入侵的脆弱性较高,其他地区为中等脆弱性。在库尔纳地区,大多数乌帕齐拉人处于中等脆弱状态。在Bagerhat地区,大多数Upazilas被列为中度脆弱,而Sarankhola、Mongla和Morrelganj被确定为高度脆弱。最广泛的灌溉发展是在Satkhira地区,特别是在Satkhira Sadar、Kolaroa、Assasuni和Tala等中等脆弱地区。库尔纳地区的Dumuria村由于灌溉用水过度而非常脆弱。在巴格哈特地区,法基哈特和莫拉哈特最近扩大了灌溉,这两个地区都处于中等易感区。LULC分析显示,农业和植被区域减少,建筑密集区和虾类养殖区增加,主要表明研究区域的盐度水平增加。在整个研究区域,咸淡水虾养殖占主导地位,这表明浅层地下水含水层可能面临海水入侵的风险。
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