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Semidiurnal internal tides southeast of Miyakojima observed by the PIES array 宫古岛东南半日内潮的pie阵列观测
IF 2.1 3区 地球科学 Q2 OCEANOGRAPHY Pub Date : 2026-02-01 Epub Date: 2026-01-02 DOI: 10.1016/j.dsr.2026.104649
Mingxuan Lu , Zhao-Jun Liu , Min Wang , Xiao-Hua Zhu , Chuanzheng Zhang , Hua Zheng , Ze-Nan Zhu , Qun Ma
The Ryukyu Island chain is one of the major generation regions for internal tides in the western North Pacific, notably generating strong semidiurnal internal tides. However, due to limited in situ observational data, the characteristics of internal tides east of Ryukyu Island chain remain unclear. In this study, we used pressure-sensor-equipped inverted echo sounders (PIES) deployed southeast of Miyakojima to assess the spatial structure and temporal variability of the internal tides from June 2015 to June 2017. Observations indicated stronger semidiurnal internal tides with larger fluctuations onshore than offshore. Both PIES observations and the satellite-derived product indicated that the M2 internal tides propagated from the onshore to the offshore side; however, the amplitudes were substantially underestimated in the satellite product. The first mode of the Complex Empirical Orthogonal Function analysis revealed that the temporal amplitude exhibited clear seasonal variability, with larger amplitudes in spring (mean, 26.4 m) and autumn (mean, 22.2 m), and smaller amplitudes in summer (mean, 18.3 m) and winter (mean, 21.3 m). The pycnocline depth derived from the PIES observations also exhibited distinct seasonal variability, showing a strong correlation with sea level anomaly. These findings demonstrate that the temporal variability of the semidiurnal internal tides is likely attributable to mesoscale eddies, which modulate the pycnocline depth. Anticyclonic eddies deepen the pycnocline and suppress the amplitude of the semidiurnal internal tides. In nearly 70 % of the cases affected by mesoscale eddies during the observation period, decreased (increased) semidiurnal internal tide amplitudes occurred concurrently with a deepened (shoaled) pycnocline.
琉球岛链是北太平洋西部内潮的主要产生区之一,主要产生强烈的半日内潮。然而,由于现场观测资料有限,琉球岛链以东的内潮特征尚不清楚。在2015年6月至2017年6月期间,我们利用部署在宫古岛东南部的配备压力传感器的反向回声测深仪(PIES)评估了宫古岛内部潮汐的空间结构和时间变化。观测表明,半日内潮较强,陆上波动大于近海。pie观测和卫星衍生产品均表明M2内潮由岸上向近海传播;然而,卫星产品中的振幅被大大低估了。复经验正交函数的第一模态分析表明,季节变幅明显,春季(平均26.4 m)和秋季(平均22.2 m)变幅较大,夏季(平均18.3 m)和冬季(平均21.3 m)变幅较小。由PIES观测得到的斜斜深度也表现出明显的季节变化,与海平面异常有很强的相关性。这些发现表明,半日内潮的时间变化可能归因于中尺度涡旋,它调节了斜斜深度。反气旋涡旋加深了斜斜,抑制了半日内潮的振幅。在观测期间受中尺度涡旋影响的近70%的病例中,半日内潮振幅减小(增大)的同时出现了加深(浅滩)的斜斜。
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引用次数: 0
Dissolved iron concentrations in the upper 500 m waters of the eastern Indian ocean 东印度洋500米以上水域的溶解铁浓度
IF 2.1 3区 地球科学 Q2 OCEANOGRAPHY Pub Date : 2026-02-01 Epub Date: 2025-11-27 DOI: 10.1016/j.dsr.2025.104629
Han Su , Jie Jin , Shuo Jiang , Wei Zheng , Zheng Bo Liu , Yan Chang , Xunchi Zhu , Jing Zhang
Dissolved iron (DFe) in ocean waters often limit phytoplankton growth because of its low bioavailability. In this study, we examined data on the surface and sectional distribution of DFe in the eastern Indian Ocean (EIO) to understand its influence on the surface and upper waters. Our sampling covered the upper 500 m of the EIO between 10°S and 10°N and 78°E−100°E, encompassing the Bay of Bengal (BoB) and the equatorial EIO during the 2017 (March–April) and 2018 (March–May) cruises. In surface waters, DFe concentrations in the Bay of Bengal (0.35 ± 0.06 nmol/kg, n = 20) and at station I507 (the extension of the Indonesian Throughflow, ITF, 0.36 nmol/kg) were higher than those in the equatorial EIO (0.27 ± 0.04 nmol/kg, n = 76). The vertical distribution of DFe exhibited significant spatial differences, with higher concentrations in the BoB than in the equatorial EIO, recorded at 0.79 ± 0.25 nmol/kg and 0.64 ± 0.26 nmol/kg, respectively. The distribution of DFe in the EIO was influenced by three types of water masses and hydrographic features, including the extension of ITF. The relative contributions of different DFe sources, such as river input, dust deposition, and other external sources, varied between the equatorial EIO and BoB as well as between the Indo-Pacific and western Pacific Oceans. Furthermore, the external Fe (Fe∗) and the molar ratios of macronutrients suggest that nitrogen is a more significant limiting factor than Fe in both the BoB and equatorial EIO surface waters. Therefore, our findings contribute to understanding of the distribution patterns and influencing factors of the BoB and the equatorial EIO.
海水中溶解的铁(DFe)由于其低生物利用度而限制了浮游植物的生长。在这项研究中,我们检查了东印度洋(EIO) DFe的表面和剖面分布数据,以了解其对表面和上层水域的影响。在2017年(3月至4月)和2018年(3月至5月)的巡航期间,我们的采样覆盖了10°S至10°N和78°E至100°E之间的EIO上层500米,包括孟加拉湾(BoB)和赤道EIO。在地表水中,孟加拉湾(0.35±0.06 nmol/kg, n = 20)和I507站(印度尼西亚通流延伸,ITF, 0.36 nmol/kg)的DFe浓度高于赤道EIO(0.27±0.04 nmol/kg, n = 76)。DFe的垂直分布存在显著的空间差异,BoB的DFe浓度高于赤道EIO,分别为0.79±0.25 nmol/kg和0.64±0.26 nmol/kg。三种类型的水团和包括ITF扩展在内的水文特征影响了环礁中DFe的分布。不同DFe源(如河流输入、粉尘沉积和其他外部源)的相对贡献在赤道EIO和BoB以及印度洋-太平洋和西太平洋之间存在差异。此外,外部铁(Fe *)和常量营养物质的摩尔比表明,在BoB和赤道EIO地表水中,氮是比铁更重要的限制因素。因此,我们的研究结果有助于理解赤道BoB和赤道EIO的分布格局及其影响因素。
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引用次数: 0
Antarctic Bottom Water contraction drives abyssal ocean warming along SAMBA-West line (34.5°S) in the Argentine basin 南极底水收缩驱动阿根廷盆地SAMBA-West线(34.5°S)的深海海洋变暖
IF 2.1 3区 地球科学 Q2 OCEANOGRAPHY Pub Date : 2026-02-01 Epub Date: 2025-12-04 DOI: 10.1016/j.dsr.2025.104627
Daniel M.C. Santos , Tiago C. Biló , Dante C. Napolitano , Renellys C. Perez , Paulo S. Polito , Jonathan Gula , Shenfu Dong , Edmo J.D. Campos , Olga T. Sato
We present an updated assessment of abyssal temperature trends in the Argentine Basin using expanded hydrographic and moored observations from the SAMBA-West line. The study addresses two main questions: (1) What is the spatial distribution of the abyssal warming along the SAMBA-West line? (2) What mechanisms drive the observed changes? Using output from a high-resolution numerical simulation, we first characterize how the abyssal flow near 34.5°S relates to the broader basin-scale circulation, providing context for interpreting the observations. Within this framework, we find that SAMBA-West is situated within a dynamically complex junction of deep boundary currents and recirculation pathways in the northwestern portion of the Argentine Basin. A coherent, statistically significant warming trend is found across most of the array and vertically throughout the AABW layer, primarily due to its vertical contraction, likely reflecting reduced formation or export of the AABW.
我们利用扩展的水文和SAMBA-West线的系泊观测,对阿根廷盆地的深海温度趋势进行了最新评估。该研究解决了两个主要问题:(1)SAMBA-West线深海变暖的空间分布是怎样的?(2)是什么机制驱动了观测到的变化?利用高分辨率数值模拟的输出,我们首先描述了34.5°S附近的深海流动与更广泛的盆地尺度环流的关系,为解释观测结果提供了背景。在此框架内,我们发现SAMBA-West位于阿根廷盆地西北部深部边界流和再循环路径的动态复杂交界处。一个连贯的,统计上显著的变暖趋势贯穿了大部分阵列和垂直贯穿AABW层,主要是由于其垂直收缩,可能反映了AABW的减少形成或输出。
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引用次数: 0
Global distribution of suitable habitats for deep-sea sponges based on machine learning 基于机器学习的深海海绵适宜栖息地全球分布
IF 2.1 3区 地球科学 Q2 OCEANOGRAPHY Pub Date : 2026-02-01 Epub Date: 2025-12-26 DOI: 10.1016/j.dsr.2025.104642
Jichao Yang , Tongbo Xu , Xuelei Zhang , QinZeng Xu , Guoyu Xu , Guanhong Zhai , Minxing Dong
As terrestrial resources become increasingly scarce, the importance of developing deep-sea mineral resources has grown significantly. However, the harsh deep-sea environment and limited availability of species distribution data pose major challenges to the protection and management of deep-sea ecosystems. This study combined global marine environment data and limited deep-sea sponge distribution records to construct a high-resolution habitat suitability prediction model based on machine learning technology. By selecting six key environmental variables such as water depth, seawater nutrients, chemical composition, and seafloor topography, Random Forest, XGBoost, and the integrated learning algorithm Ensemble Median were used to predict the global potential distribution of deep-sea sponges. Model evaluation shows that the integrated model is significantly better than the single model in terms of prediction accuracy, AUC value, TSS value and Kappa coefficient, and has good robustness and reliability. The research results provide a scientific basis for the protection of deep-sea sponges, and provide an important reference for the rational development of deep-sea resources and maintenance of marine ecological balance, laying a theoretical foundation for the planning and policy formulation of deep-sea protected areas.
随着陆地资源的日益匮乏,开发深海矿产资源的重要性日益凸显。然而,恶劣的深海环境和有限的物种分布数据给深海生态系统的保护和管理带来了重大挑战。本研究结合全球海洋环境数据和有限的深海海绵分布记录,构建了基于机器学习技术的高分辨率栖息地适宜性预测模型。通过选取水深、海水营养成分、化学成分和海底地形等6个关键环境变量,利用Random Forest、XGBoost和集成学习算法Ensemble Median对深海海绵的全球潜在分布进行了预测。模型评价表明,综合模型在预测精度、AUC值、TSS值和Kappa系数方面均显著优于单一模型,具有良好的鲁棒性和可靠性。研究结果为深海海绵的保护提供了科学依据,为合理开发深海资源和维护海洋生态平衡提供了重要参考,为深海保护区的规划和政策制定奠定了理论基础。
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引用次数: 0
Petrogenesis of lavas from the southern Kyushu-Palau Ridge, Philippine Sea Plate: Implications for the arc rifting of the proto-Izu-Bonin-Mariana Arc 菲律宾海板块九州-帕劳脊南部熔岩的岩石成因:原伊豆-波宁-马里亚纳弧的弧裂作用
IF 2.1 3区 地球科学 Q2 OCEANOGRAPHY Pub Date : 2026-02-01 Epub Date: 2025-12-29 DOI: 10.1016/j.dsr.2025.104646
Zhenxuan Liu , Quanshu Yan , Xuefa Shi , Gang Yang , Yanguang Liu
The Kyushu-Palau Ridge (KPR), a remnant arc that split from the proto-Izu-Bonin-Mariana (IBM) arc, plays a significant role in understanding the intra-oceanic arc rifting and the geological evolution of the Philippine Sea Plate (PSP). There is still a paucity of data on the volcanism of the southern KPR, particularly, the influence of arc rifting on magma composition and arc evolution remains to be elucidated. This study presents new major and trace element geochemical compositions as well as K-Ar age of the basaltic lavas from the southern KPR (south of 22° N). Major and trace elements suggest that southern KPR lavas exhibit a strong tholeiitic affinity and limited contribution from subduction components (i.e., hydrous melts and aqueous fluids). Geochemically, the southern KPR shows similarities to the infant IBM arc and differs from the northern KPR as well as the more evolved mature island arc. The wide ranges in Nb/Yb (0.14–3.68) and Zr/Nb (6.43–115.44) ratios as well as the model calculations of samples demonstrate that the lavas were formed through low-degree (<15 %) partial melting of heterogeneous sub-arc mantle source in the spinel lherzolite facies. This study advances a conceptual model elucidating KPR evolution, proposing that the PSP kinematics with the variable arc rifting conditions of the proto-IBM arc led to the separation of the KPR. The arc rifting-spreading event prevented it from evolving into a mature arc.
九州-帕劳脊(KPR)是原伊扎-波宁-马里亚纳(IBM)弧分离出来的残弧,对了解菲律宾海板块(PSP)的洋内弧裂陷和地质演化具有重要意义。关于KPR南部火山活动的资料仍然缺乏,特别是弧裂作用对岩浆组成和弧演化的影响仍有待阐明。本文给出了KPR南部(22°N以南)玄武岩熔岩的新的主微量元素地球化学组成和K-Ar年龄。主量元素和微量元素表明,南KPR熔岩具有较强的拉斑岩亲和性,俯冲成分(即含水熔体和含水流体)的贡献有限。在地球化学上,南KPR与早期的IBM弧相似,而与北KPR以及更成熟的岛弧不同。Nb/Yb(0.14 ~ 3.68)和Zr/Nb(6.43 ~ 115.44)比值的大范围变化以及样品的模型计算表明,该熔岩是尖晶石-辉橄榄岩相非均质弧下地幔源低程度(< 15%)部分熔融形成的。本研究提出了一个解释KPR演化的概念模型,认为原ibm弧变弧裂条件下的PSP运动学导致了KPR的分离。弧的裂张作用使其未能演化为成熟的弧。
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引用次数: 0
Phosphorus species in surface sediments of the Kermadec Trench: Distribution and controlling factors 克马德克海沟表层沉积物中磷的种类分布及其控制因素
IF 2.1 3区 地球科学 Q2 OCEANOGRAPHY Pub Date : 2026-02-01 Epub Date: 2025-12-08 DOI: 10.1016/j.dsr.2025.104639
Zhihao Xiong , Yuanqing Chen , Hengchao Xu , Liang Dong , Zijun Wu
Hadal trenches, as key deep-sea environments for organic matter burial and microbial respiration, are therefore recognized hotspots for early diagenesis. Although phosphorus (P) cycling has been extensively studied in marginal sea sediments, its behavior in hadal trench sediments remains poorly understood. This study examines sedimentary P partitioning in the Kermadec Trench to identify the dominant controls on P speciation. Geochemical data reveal that P distribution is collectively influenced by redox conditions, organic matter content, and volcanic inputs. In the southern part of the trench, higher sedimentary TOC content directly enhances the preservation of iron-bound P (PFe, 21 % of total P) and organic P (Porg, 10 %). In contrast, northern sites, which are enriched in volcanic material (FeTOT up to 63.2 mg g−1), exhibit lower retention of reactive P (Prea, 40–45 %), likely due to Fe(III)-mediated dissimilatory iron reduction, along with higher volcanic silicate iron. This spatial heterogeneity exhibits variation influenced by hydrodynamic processes: deep western boundary currents carry terrigenous sediments northward, whereas surface currents distribute volcanic ash southward. Relative to continental shelves, hadal trenches display a greater predominance of detrital P burial (Pdetrital, 53 % of total P), as well as elevated proportions of iron-bound P (PFe,16 %) and authigenic apatite (Pauthi, 20 %). Our findings reveal volcanic activity as a critical control on phosphorus cycling in hadal systems, indicating that these environments are governed by a distinct set of biogeochemical processes.
深海沟作为深海有机质埋藏和微生物呼吸的关键环境,是公认的早期成岩作用热点。尽管磷(P)循环在边缘海沉积物中已被广泛研究,但其在hadal海沟沉积物中的行为仍然知之甚少。本文研究了克马德克海沟沉积磷的分配,以确定磷形成的主要控制因素。地球化学数据表明,磷的分布受氧化还原条件、有机质含量和火山输入的共同影响。在海沟南部,较高的沉积TOC含量直接促进了铁结合磷(PFe,占总磷的21%)和有机磷(Porg, 10%)的保存。相比之下,北部地区富含火山物质(FeTOT高达63.2 mg g−1),表现出较低的活性P保留率(Prea, 40 - 45%),可能是由于Fe(III)介导的异化铁还原,以及较高的火山硅酸盐铁。这种空间异质性表现出受水动力过程影响的变化:深层西部边界流向北携带陆源沉积物,而表层流向南分布火山灰。与陆架相比,海沟中碎屑P的埋藏占比更大(Pdetrital,占总P的53%),铁结合P (PFe, 16%)和自生磷灰石(Pauthi, 20%)的比例更高。我们的研究结果表明,火山活动是hadal系统中磷循环的关键控制因素,表明这些环境是由一套独特的生物地球化学过程控制的。
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引用次数: 0
Seasonal sea surface temperature variability in the northwestern Indian ocean 西北印度洋的季节性海面温度变化
IF 2.1 3区 地球科学 Q2 OCEANOGRAPHY Pub Date : 2026-02-01 Epub Date: 2025-12-11 DOI: 10.1016/j.dsr.2025.104641
Hongxuan Pan , Hongwei Liu , Yongliang Duan , Chongguang Pang
This study investigates the seasonal variability and underlying mechanisms of sea surface temperature (SST) in the Somali upwelling region of the northwestern tropical Indian Ocean (TIO), based on high-resolution ocean reanalysis and observational datasets. Motivated by the distinct bimodal SST cycle in this region — featuring two warming (spring and autumn) and two cooling (summer and winter) periods — we conduct a detailed mixed-layer heat budget analysis to quantify the relative contributions of atmospheric forcing and oceanic processes. While net surface heat flux (NSHF) dominates both warming phases, the underlying mechanisms differ significantly. For spring warming, it is primarily driven by increased shortwave radiation and weakened winds. In contrast, autumn warming — despite stronger NSHF — is partially offset by vertical entrainment and horizontal advection. For the cooling phases, summer SST decline is driven by dynamic oceanic processes such as vertical entrainment and horizontal advection under the southwest monsoon, while winter cooling is controlled mainly by enhanced latent heat loss. Compared to the Java upwelling region, which displays a weaker unimodal SST pattern, the Somali system exhibits more complex monsoon–ocean interactions. While earlier basin-scale modeling studies have identified general seasonal controls in the northern Indian Ocean, our region-specific, observation-constrained analysis uncovers pronounced asymmetries between distinct warming and cooling phases. These findings emphasize the critical role of monsoon-driven, phase-dependent air–sea interactions in shaping the seasonal SST variability in the northwestern TIO.
基于高分辨率海洋再分析和观测资料,研究了热带印度洋西北部索马里上升流区海温(SST)的季节变化及其机制。由于该地区独特的双峰海温循环-具有两个增温期(春季和秋季)和两个降温期(夏季和冬季)-我们进行了详细的混合层热收支分析,以量化大气强迫和海洋过程的相对贡献。虽然净地表热通量(NSHF)在两个增温阶段都占主导地位,但潜在的机制却有显著差异。对于春季变暖,主要是由于短波辐射增加和风力减弱。相比之下,尽管NSHF较强,但秋季变暖被垂直夹带和水平平流部分抵消。在降温阶段,夏季海温下降主要受西南季风垂直夹带和水平平流等海洋动力过程驱动,而冬季降温主要受潜热损失增强控制。与爪哇上升流区单峰海温模式较弱相比,索马里系统表现出更复杂的季风-海洋相互作用。虽然早期的盆地尺度模拟研究已经确定了北印度洋的一般季节性控制,但我们针对特定区域的观测约束分析揭示了明显的增温和降温阶段之间的不对称性。这些发现强调了季风驱动的、相依赖的海气相互作用在形成西北东热带海温季节性变化中的关键作用。
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引用次数: 0
Machine learning reconstruction of multiyear missing nutrient data along the 137°E section, northwestern Pacific 西北太平洋137°E剖面多年缺失营养数据的机器学习重建
IF 2.1 3区 地球科学 Q2 OCEANOGRAPHY Pub Date : 2026-02-01 Epub Date: 2025-11-30 DOI: 10.1016/j.dsr.2025.104638
Xinling Song , Zhenyan Wang , Yijia Jia , Meihan Zhao , Yujie Fu
Nutrients are fundamental to marine primary production and serve as key tracers of deep-sea circulation. However, continuous in-situ nutrient observations in the open ocean remain challenging. Despite over fifty years of surveys by the Japan Meteorological Agency along the 137°E section in the northwestern Pacific, substantial missing data persist, requiring reconstruction to support future studies on deep nutrient transport in carbon cycling. This study applies three machine learning (ML) methods—Support Vector Regression (SVR), Random Forest (RF), and Extreme Gradient Boosting (XGBoost)—to develop an ML framework for reconstructing summer nutrient data (1997–2022) along this section. The results demonstrate that, compared to baseline models (multiple linear regression, Artificial Neural Networks and Deep Neural Networks), these ML methods achieved a favorable balance between accuracy and stability in predicting nutrients, with RF consistently performing best. Shapley values reveal that RF effectively captures key features like temperature and depth, relies less on weak predictors, and models nonlinear interactions more robustly, which explains its advantage over SVR and XGBoost. RF, selected as the optimal model, was used to reconstruct the three nutrients, capturing characteristic zonal and vertical patterns. Furthermore, compared to the Global Ocean Biogeochemistry Hindcast product, RF achieved a 74–79 % reduction in RMSEs across the three nutrients. This study demonstrates that ML methods (particularly RF) achieve superior accuracy for nutrient reconstruction within the analyzed spatiotemporal scope and may provide a practical framework for nutrient reconstruction in other high-missing-rate marine regions, supporting biogeochemical and deep-sea process studies.
营养物质是海洋初级生产的基础,是深海环流的关键示踪剂。然而,在开阔海域进行连续的原位营养观测仍然具有挑战性。尽管日本气象厅沿着西北太平洋137°E剖面进行了50多年的调查,但大量缺失的数据仍然存在,需要重建以支持未来对碳循环中深层营养物质运输的研究。本研究应用了三种机器学习(ML)方法——支持向量回归(SVR)、随机森林(RF)和极端梯度增强(XGBoost)——来开发一个机器学习框架,用于重建夏季营养数据(1997-2022)。结果表明,与基线模型(多元线性回归、人工神经网络和深度神经网络)相比,这些机器学习方法在预测营养成分的准确性和稳定性之间取得了良好的平衡,其中RF一直表现最好。Shapley值表明,RF有效地捕获了温度和深度等关键特征,对弱预测因子的依赖更少,对非线性相互作用的建模更可靠,这解释了它比SVR和XGBoost的优势。选择RF作为最优模型,利用该模型重构了三种营养成分,并捕获了特征的带状和垂直模式。此外,与全球海洋生物地球化学Hindcast产品相比,RF在三种营养素中的rmse降低了74 - 79%。该研究表明,在分析的时空范围内,ML方法(特别是RF方法)在养分重建方面取得了卓越的准确性,并可能为其他高缺失率海洋区域的养分重建提供实用框架,支持生物地球化学和深海过程研究。
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引用次数: 0
Export production in the upper ocean using f-ratios in the Bay of Bengal using a remote sensing approach 使用f-比率的上层海洋出口生产在孟加拉湾使用遥感方法
IF 2.1 3区 地球科学 Q2 OCEANOGRAPHY Pub Date : 2026-02-01 Epub Date: 2025-12-31 DOI: 10.1016/j.dsr.2025.104647
V.V.S.S. Sarma , B. Sridevi
The fraction of the primary production leaving the photic zone is important to understand the strength of the biological pump and carbon sequestration. This fraction intensifies the oxygen minimum zone by supporting life in the deeper ocean. The f-ratio, the new-to-total production ratio, represents the exportable production below the euphotic zone under specific conditions. Based on the measured f-ratios by 15N tracer and δ15N of suspended matter and their relation with sea surface temperature, salinity and chlorophyll-a (Chl-a), spatial and temporal variations in f-ratios were derived in the Bay of Bengal using remote sensing data. The 15N tracer and δ15N suspended matter methods give photic zone and mixed layer mean f-ratios, respectively. The basin-mean photic zone f-ratios were higher during winter, followed by summer and fall monsoon, with higher f-ratios along the coastal Bay of Bengal associated with the spread of riverine nutrients during fall and summer. The higher f-ratios in the northern Bay of Bengal during winter and spring were associated with atmospheric deposition of nutrients. The mixed layer and photic zone mean f-ratios in the Bay of Bengal were 0.37 ± 0.06, and 0.57 ± 0.10, respectively, suggesting that half of the primary production in the photic zone is exported to the aphotic zone. The estimated new production using external sources of nitrogen supported ∼59 ± 16 TgC annually. Based on total production from the Vertically Generalized Primary Production Model (VGPM), the f-ratio was estimated as 0.33 ± 0.05 using external sources, and it is consistent with the mixed layer mean f-ratio derived from δ15N of suspended matter (0.37 ± 0.06). Based on the mean f-ratio in the photic zone from external sources and VGPM production, about 60 ± 20 TgC y−1 of primary production sinks to the depth below the photic zone. The export production at the 100 m depth was measured to be ∼10 ± 5 TgC y−1 using thorium isotopes, suggesting that ∼50 ± 15 TgC y−1 of the primary produced organic matter may be utilized either through heterotrophic activity in a depth range between 60 and 100 m or transported horizontally. This estimate is consistent with the dark respiration rates in this depth zone and also the apparent oxygen utilization. The seasonal and spatial variations in f-ratios derived in this work may be used in the numerical model to improve the simulation and prediction of the carbon cycle in the Indian Ocean.
初级产物离开光带的比例对于了解生物泵和碳固存的强度很重要。这个部分通过支持深海中的生命而强化了最低氧区。f比,即新产量与总产量之比,代表特定条件下,在光区以下的可出口产量。基于15N示踪剂测得的f-比值和悬浮物δ15N及其与海温、盐度和叶绿素a (Chl-a)的关系,利用遥感资料推导了孟加拉湾f-比值的时空变化规律。15N示踪剂法和δ15N悬浮物法分别给出了光区和混合层平均f比。盆地平均光带f-比率在冬季较高,其次是夏季和秋季季风,在孟加拉湾沿岸较高的f-比率与秋季和夏季河流营养物质的扩散有关。孟加拉湾北部冬季和春季较高的f-比值与大气中营养物的沉积有关。孟加拉湾混合层和光区平均f比分别为0.37±0.06和0.57±0.10,表明光区初级产品的一半出口到光区。估计利用外部氮源的新产量每年支持~ 59±16 TgC。基于垂直广义初级生产模型(VGPM)估算的总产量f-ratio为0.33±0.05,与由悬浮物δ15N计算得到的混合层平均f-ratio(0.37±0.06)一致。根据光区外源平均f比和VGPM产量计算,初级产量约有60±20 TgC y−1沉到光区以下深度。使用钍同位素测量了100 m深度的出口产量为~ 10±5 TgC y - 1,这表明初级生产的有机质的~ 50±15 TgC y - 1可能通过60至100 m深度范围内的异养活动或水平运输被利用。这一估计与该深度区的暗呼吸速率和表观氧利用率一致。本研究得出的f比的季节和空间变化可用于数值模式,以改进印度洋碳循环的模拟和预测。
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引用次数: 0
Quantifying the deep-sea cold seep gas flux using multibeam water column data: A case study in the Shenhu area of the South China sea 利用多波束水柱数据量化深海冷渗气通量——以南海神狐海域为例
IF 2.1 3区 地球科学 Q2 OCEANOGRAPHY Pub Date : 2026-02-01 Epub Date: 2025-12-24 DOI: 10.1016/j.dsr.2025.104644
Feng Wang , Sai Mei , Xianhai Bu , Fanlin Yang , Jianbing Chen , Zhao Zhao
Accurately quantifying the gas flux released by cold seeps into the water is significant for exploring gas hydrates and understanding the marine carbon cycle. While multibeam water column data (WCD) commonly used to detect gas plumes, its quantitative application may be limited by single frequency mode and inaccurately calibrated backscatter intensity. This study develops a novel WCD-based gas flux quantification method. First, a parallel genetic algorithm optimizes bubble size distribution (BSD) parameters by minimizing residuals between measured and theoretical backscatter intensities. Subsequently, kernel density estimation derives robust bubble volume from optimized BSD parameters. Finally, gas flux is calculated by combining bubble volume and bubble rising speed. Simulation experiments validate the robustness of the proposed method, with field application in the Shenhu area of the South China Sea yielding two key results: observed gas plumes exhibit maximum ascent heights of ∼820 m with the total gas flux reaching (6 ± 1) × 104 L/min, and statistically significant correlations between backscatter intensity and gas flux confirm methodological validity. The developed model establishes an efficient approach for WCD-based gas flux quantification, providing valuable insights for deep-sea emissions quantification and marine biogeochemical cycle modeling.
准确量化冷渗漏到水中释放的气体通量对于勘探天然气水合物和了解海洋碳循环具有重要意义。多波束水柱数据(WCD)通常用于气体羽流的探测,但其定量应用可能受到单频模式和校准不准确的后向散射强度的限制。本研究提出了一种新的基于wcd的气体通量定量方法。首先,并行遗传算法通过最小化测量值和理论背散射强度之间的残差来优化气泡大小分布(BSD)参数。随后,核密度估计从优化的BSD参数中得到鲁棒气泡体积。最后,结合气泡体积和气泡上升速度计算气体通量。模拟实验验证了该方法的鲁棒性,在南海神户海域的现场应用得到两个关键结果:观测到的气体羽流最大上升高度为~ 820 m,总气体通量达到(6±1)× 104 L/min;后向散射强度与气体通量之间的统计显著相关性证实了方法的有效性。该模型建立了一种基于wcd的气体通量量化方法,为深海排放量化和海洋生物地球化学循环建模提供了有价值的见解。
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Deep-Sea Research Part I-Oceanographic Research Papers
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