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Investigation of heat and mass transfer in an electromagnetically driven ionized tri-hybrid nanofluids flow over a convectively heated cylinder 电磁驱动电离三杂化纳米流体在对流加热圆柱体上的传热传质研究
IF 2 4区 地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS Pub Date : 2025-12-20 DOI: 10.1016/j.dynatmoce.2025.101635
Muhammad Naveed Khan , Shafiq Ahmad , Aamir Abbas Khan , Mounirah Areshi , Ibrahim E. Elseesy
Nanofluids are employed in various heat transfer and cooling applications because of their enhanced thermal conductivity, making them useful for electronics cooling, solar collectors, and heat exchangers. The current study explores the behavior of a partially ionized Prandtl fluid with three types of nanoparticles as it flows through a convectively heated cylinder under magnetic influence. The purpose of dispersing three different nanoparticles MWCNT,Al2O3,SiC is to increase the functional fluid heat transfer rate. The study looks at how powerful produced magnetic and electric fields affect fluid flow under the supposition that the magnetic Reynolds number is very high. The study analyzes the mass and heat equations while taking into account factors like Joule heating, activation energy, varying thermal conductivity, and changing mass diffusivity. Additionally, the consequences of Joule heating, viscous dissipation, and thermal radiation are appraised when evaluating the disorder in the flow system through entropy generation. Based on these assumptions, differential equations were employed to create the mathematical model. The differential equations are then subjected to similarity variables to become a dimensionless variant of ordinary differential equations. The numerical scheme BVP4C on MATLAB has been used to find the numerical results. The comparison results are found for ternary nanofluid MWCNT,Al2O3,SiC and unary nanofluid Al2O3 using graphs. It is observed from the figures that in enhancement in Prandtl first parameter, curvature parameter, Hall and ion slip effect, the fluid motion enhances while the reverse behavior is observed for Hartman number. The fluid temperature surges with stronger estimations of the Dufour number, variable thermal conductivity, and radiation parameter.
纳米流体被用于各种传热和冷却应用,因为它们具有增强的导热性,使它们在电子冷却、太阳能集热器和热交换器中非常有用。目前的研究探索了部分电离的普朗特流体与三种类型的纳米颗粒在磁场影响下流经对流加热圆柱体时的行为。分散MWCNT、Al2O3、SiC三种不同纳米颗粒的目的是提高功能流体的传热速率。该研究着眼于在假设磁雷诺数非常高的情况下,产生的强大磁场和电场如何影响流体流动。该研究分析了质量和热量方程,同时考虑了焦耳加热、活化能、热导率变化和质量扩散率变化等因素。此外,焦耳加热,粘性耗散和热辐射的后果评估时,通过熵的产生流动系统的混乱。基于这些假设,采用微分方程建立数学模型。然后对微分方程进行相似变量处理,使其成为常微分方程的无量纲变体。利用MATLAB上的数值格式BVP4C进行了数值计算。用图形对比了三元纳米流体MWCNT、Al2O3、SiC和一元纳米流体Al2O3的效果。从图中可以看出,在普朗特第一参数、曲率参数、霍尔效应和离子滑移效应增强时,流体运动增强,而哈特曼数则相反。流体温度随着Dufour数、变热导率和辐射参数的增强而波动。
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引用次数: 0
Rainfall extremes variability, teleconnections with atmospheric circulation anomalies in the Indian summer monsoon 降雨极端变率与印度夏季风大气环流异常的遥相关
IF 2 4区 地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS Pub Date : 2025-12-20 DOI: 10.1016/j.dynatmoce.2025.101636
Anmol Yadav , G.P. Singh , Pradeep Kumar Rai , Vijay Kumar Soni , Akhilesh Mishra , Sonu Kumar
We investigate the spatiotemporal variability of Indian Summer Monsoon Rainfall (ISMR) and the anomalies in atmospheric circulation and oceanic conditions during June–September (JJAS) from 1981 to 2022. Using multiple data sources (like IMD, NOAA PSL and HadISST), Empirical orthogonal function (EOF), principal component (PCs) coefficient of variation (CV), precipitation concentration index (PCI), composite analysis of atmospheric and oceanic anomalies determines the variability for exploring extreme wet and dry years. Seasonal rainfall is highest over Northeast India and Western Ghats, while the decadal trend shows increased rainfall in July, August, and September. EOF analysis shows that first mode covers central and southern India, whereas the second mode exhibits a dipole pattern over the Gangetic plains and southern regions with 14.9 % and 9.1 % of the total variance. Eight extremely wet and six extremely dry years were also noted. In composite analysis, wherever extreme wet and dry years are found, these modes correspond to distinct Sea Surface Temperature (SST), Sea Level Pressure (SLP) and wind anomalies across oceanic regions. Wet years exhibit positive rainfall anomalies related with warm SST in Indian Ocean and cooler SST in the Niño 3.4 region, accompanied by low SLP anomalies and enhanced south-westerly wind. Dry years are characterized by cooler SST in the Indian Ocean, warmer Nino 3.4, SST, higher SLP, weak winds, and limited moisture transport, which contribute to the reduction in monsoon activity. These findings underscore the significant role of SST, SLP, wind, and vertical motion, vertically integrated moisture flux and soil moisture anomalies influencing ISMR patterns.
本文研究了1981 - 2022年6 - 9月印度夏季风降水(ISMR)的时空变异性以及大气环流和海洋条件的异常。利用多个数据源(如IMD、NOAA PSL和HadISST),利用经验正交函数(EOF)、主成分变异系数(CV)、降水浓度指数(PCI)对大气和海洋异常进行综合分析,确定了探索极端干湿年的变率。印度东北部和西高止山脉的季节性降雨量最高,而年代际趋势显示,7月、8月和9月降雨量增加。EOF分析表明,第一模态覆盖印度中部和南部,而第二模态在恒河平原和南部地区表现为偶极子型,占总方差的14.9 %和9.1 %。还有8年极度潮湿,6年极度干燥。在复合分析中,无论在哪里发现极端干湿年份,这些模态都对应不同的海表温度(SST)、海平面压力(SLP)和海洋区域的风异常。湿润年表现出与印度洋海温偏暖和Niño 3.4区域海温偏冷相关的正降水异常,伴随着低SLP异常和西南风增强。干燥年印度洋海温偏冷,Nino 3.4偏暖,海温升高,SLP升高,风弱,水汽输送受限,导致季风活动减弱。这些发现强调了海温、SLP、风和垂直运动、垂直整合的水分通量和土壤水分异常对ISMR模式的重要影响。
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引用次数: 0
Multidirectional swell dynamics in the Indian ocean during the austral autumn and coastal flooding implications for the southwest coast of India 南秋期间印度洋的多向膨胀动力学及对印度西南海岸的沿海洪水影响
IF 2 4区 地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS Pub Date : 2025-12-20 DOI: 10.1016/j.dynatmoce.2025.101634
P.S. Swathy Krishna , M. Ramesh , C.T. Tejavath , N. Sreejith , Vijay Kumar Vishnu , L. Sheela Nair
This study analyzes two significant swell events along the southwest coast of India during March and April of 2020, characterized by multi-directional swells originating from an extensive swell generation area spanning the Indian Atlantic Southern Ocean (IASO) interface to western Australia. The research reveals the critical role of Cut off Low (CoL) formations and Southern Ocean current systems in modulating storm propagation and enhancing swell impact. In this study, through sophisticated spectral analysis, we show the presence of diverse long-distance swell systems in nearshore environments, demonstrating complex wave propagation mechanisms. Intricate swell-to-swell interactions and short-span eddy formations were observed to redirect swell patterns towards the Arabian Sea, significantly altering wave dynamics. The coastal state was predominantly influenced by swell, with total water levels increasing by ∼33 % and ∼34 % during the flooding events, predominantly attributable to wave dynamics rather than the tidal influences. The substantial rise in swell-induced flooding events along the southern southwest coast of India presents a critical environmental concern. Consequently, this study proposes developing a comprehensive metadata collection system for early warning mechanisms and provides nuanced insights into surface circulation within the Southwest Indian Ocean during the Austral autumn. By elucidating the complex interactions of eddy formations in the SEIO, the study offers crucial predictive potential for oceanic weather and climatic events in the Indian Ocean, with significant implications for future regional engineering activities.
本研究分析了2020年3月和4月印度西南海岸的两次重大膨胀事件,其特征是来自跨越印度洋-大西洋-南大洋(IASO)界面到西澳大利亚的广泛膨胀区的多向膨胀。研究揭示了切断低压(CoL)地层和南大洋洋流系统在调节风暴传播和增强涌浪影响方面的关键作用。在这项研究中,通过复杂的频谱分析,我们展示了近岸环境中存在多种长距离涌浪系统,展示了复杂的波浪传播机制。观察到复杂的膨胀-膨胀相互作用和短跨度涡流形成将膨胀模式转向阿拉伯海,显著改变了波浪动力学。沿海国家主要受涨潮影响,在洪水事件期间,总水位增加了~ 33 %和~ 34 %,主要归因于波浪动力学而不是潮汐影响。印度西南南部海岸由膨胀引起的洪水事件大幅增加,引起了严重的环境问题。因此,本研究建议开发一个全面的元数据收集系统,用于早期预警机制,并提供对西南印度洋南部秋季地面环流的细致见解。通过阐明SEIO中涡旋形成的复杂相互作用,该研究为印度洋的海洋天气和气候事件提供了重要的预测潜力,对未来的区域工程活动具有重要意义。
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引用次数: 0
Nonlinear analysis of thermo-magneto slip flow of Jeffery fluid in a wavy curved channel 波状弯曲通道中杰弗瑞流体热磁滑移流动的非线性分析
IF 2 4区 地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS Pub Date : 2025-12-16 DOI: 10.1016/j.dynatmoce.2025.101633
Maham Mujahid , Mounirah Areshi , Zaheer Abbas , Muhammad Yousuf Rafiq , Ibrahim E. Elseesy
This study conducts an analytical examination of thermo-magneto-hydrodynamic slip flow of a Jeffery fluid through a porous wavy curved channel. The energy equation incorporates the effects of thermal radiation along with heat generation and absorption mechanisms. By formulating the governing equations in curvilinear coordinates and applying a regular perturbation method, closed-form expressions for the velocity, temperature, skin-friction coefficient, and Nusselt number are obtained. The parametric investigation indicates that both channel curvature and porous permeability enhance fluid transport, while the applied magnetic field suppresses motion. Thermal radiation notably intensifies heat transfer and facilitates bolus formation by decreasing the effective viscosity and augmenting buoyancy effects. Overall, the findings provide a useful theoretical basis for the design and optimization of advanced thermal management systems, polymer processing technologies, and MHD-based biomedical devices where non-Newtonian and radiative influences are significant.
本文对杰弗瑞流体在多孔波状弯曲通道中的热磁流体滑移流动进行了分析研究。能量方程结合了热辐射的影响以及热的产生和吸收机制。通过在曲线坐标下建立控制方程,并应用正则摄动方法,得到了速度、温度、摩擦系数和努塞尔数的封闭表达式。参数化研究表明,通道曲率和孔隙渗透率都促进了流体的输运,而外加磁场抑制了流体的运动。热辐射通过降低有效粘度和增加浮力效应,显著地加强了传热,促进了球团的形成。总的来说,这些发现为设计和优化先进的热管理系统、聚合物加工技术和基于mhd的生物医学设备提供了有用的理论基础,这些设备的非牛顿和辐射影响是显著的。
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引用次数: 0
Deep learning for sea surface temperature prediction in the Indian Ocean: A comparative study using 1D-CNN, LSTM, 1DCNN-LSTM and attention based 1DCNN-LSTM architectures 深度学习在印度洋海表温度预测中的应用:基于1D-CNN、LSTM、1DCNN-LSTM和基于注意力的1DCNN-LSTM架构的比较研究
IF 2 4区 地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS Pub Date : 2025-12-13 DOI: 10.1016/j.dynatmoce.2025.101632
B. Sheela Rani , D. Sathya Narayanan , M.B. Salma Jasmine , N.R. Krishnamoorthy , M. Roja Raman , Aneesh A. Lotliker , Abhisek Chatterjee
Anthropogenic activities had led to major climate changes, causing the oceans to warm rapidly. Subsequently, there is a need for accurate prediction of sea surface temperature (SST). The dynamic Indian Ocean climate, weather and marine ecology is significantly affected by SST changes. In this study, hourly and daily SST data, specifically from 15 and 7 RAMA stations (1 m deep) respectively, at different parts of Indian Ocean is utilized to forecast SST using four deep learning techniques; 1D Convolutional Neural Network (1D-CNN), Long Short-Term Memory (LSTM) network, 1DCNN-LSTM network and attention based 1DCNN-LSTM Architecture. The SST data obtained from RAMA buoy is trained using a sliding window method and model performance is evaluated based on evaluation matrices like Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and Mean Absolute error (MAE). The results indicated that 1DCNN-LSTM outperforms 1D-CNN and LSTM at most sites, consistently achieving lower MSE, RMSE and MAE. The findings also revealed that in places where SST shifts significantly, the new attention based 1DCNN-LSTM model often competes with or does better than all the other models in MAE. Distinctive physical phenomena like equatorial jets, thermohaline stratification, monsoon, Indian Ocean Bipolar (IOD) and El Niño-Southern Oscillation (ENSO) bring about geographical difference in performance. Hence, the study illustrates how deep learning frameworks make better SST predictions in complex ocean basins and thereby aids in anticipating climate change.
人为活动导致了重大的气候变化,导致海洋迅速变暖。因此,需要对海温(SST)进行准确的预报。海温变化对印度洋气候、天气和海洋生态的影响是显著的。本研究利用印度洋不同地区15个和7个RAMA站(1 m深)的逐时和逐日海温数据,采用4种深度学习技术预测海温;一维卷积神经网络(1D- cnn)、长短期记忆(LSTM)网络、1DCNN-LSTM网络和基于注意力的1DCNN-LSTM架构。采用滑动窗口法对RAMA浮标获取的海表温度数据进行训练,并基于均方误差(MSE)、均方根误差(RMSE)和平均绝对误差(MAE)等评价矩阵对模型性能进行评价。结果表明,1DCNN-LSTM在大多数位点上优于1D-CNN和LSTM,均获得较低的MSE、RMSE和MAE。研究结果还表明,在海表温度发生显著变化的地方,新的基于注意力的1DCNN-LSTM模型通常与MAE中的所有其他模型竞争或做得更好。赤道喷流、温盐层、季风、印度洋双极(IOD)和厄尔尼诺Niño-Southern涛动(ENSO)等不同的物理现象造成了地理上的表现差异。因此,该研究说明了深度学习框架如何在复杂的海洋盆地中更好地预测海温,从而有助于预测气候变化。
{"title":"Deep learning for sea surface temperature prediction in the Indian Ocean: A comparative study using 1D-CNN, LSTM, 1DCNN-LSTM and attention based 1DCNN-LSTM architectures","authors":"B. Sheela Rani ,&nbsp;D. Sathya Narayanan ,&nbsp;M.B. Salma Jasmine ,&nbsp;N.R. Krishnamoorthy ,&nbsp;M. Roja Raman ,&nbsp;Aneesh A. Lotliker ,&nbsp;Abhisek Chatterjee","doi":"10.1016/j.dynatmoce.2025.101632","DOIUrl":"10.1016/j.dynatmoce.2025.101632","url":null,"abstract":"<div><div>Anthropogenic activities had led to major climate changes, causing the oceans to warm rapidly. Subsequently, there is a need for accurate prediction of sea surface temperature (SST). The dynamic Indian Ocean climate, weather and marine ecology is significantly affected by SST changes. In this study, hourly and daily SST data, specifically from 15 and 7 RAMA stations (1 m deep) respectively, at different parts of Indian Ocean is utilized to forecast SST using four deep learning techniques; 1D Convolutional Neural Network (1D-CNN), Long Short-Term Memory (LSTM) network, 1DCNN-LSTM network and attention based 1DCNN-LSTM Architecture. The SST data obtained from RAMA buoy is trained using a sliding window method and model performance is evaluated based on evaluation matrices like Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and Mean Absolute error (MAE). The results indicated that 1DCNN-LSTM outperforms 1D-CNN and LSTM at most sites, consistently achieving lower MSE, RMSE and MAE. The findings also revealed that in places where SST shifts significantly, the new attention based 1DCNN-LSTM model often competes with or does better than all the other models in MAE. Distinctive physical phenomena like equatorial jets, thermohaline stratification, monsoon, Indian Ocean Bipolar (IOD) and El Niño-Southern Oscillation (ENSO) bring about geographical difference in performance. Hence, the study illustrates how deep learning frameworks make better SST predictions in complex ocean basins and thereby aids in anticipating climate change.</div></div>","PeriodicalId":50563,"journal":{"name":"Dynamics of Atmospheres and Oceans","volume":"113 ","pages":"Article 101632"},"PeriodicalIF":2.0,"publicationDate":"2025-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145790295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Boundary layer interaction of immiscible non-Newtonian nanofluids in distinct shear flows with motile microorganisms 不同剪切流动中非牛顿纳米流体的边界层相互作用
IF 2 4区 地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS Pub Date : 2025-12-03 DOI: 10.1016/j.dynatmoce.2025.101629
Z. Abbas, S. Goher, M.Y. Rafiq
This study presents a comprehensive numerical investigation of two-phase boundary layer shear flows involving immiscible non-Newtonian Carreau and Tangent hyperbolic nanofluids incorporating motile microorganisms. The analysis explores the coupled effects of thermophoresis, Brownian motion, and thermal radiation on velocity, temperature, concentration, and microorganism density profiles across distinct shear regions. Incorporating microorganisms within nanofluids enhances thermal conductivity and stabilizes the flow structure, contributing to improved transport phenomena relevant to biomedical, energy, and environmental systems. The governing nonlinear differential equations are transformed into dimensionless form using similarity transformations and solved via the MATLAB bvp4c collocation method to ensure high numerical accuracy. A grid independence test confirms the convergence and stability of the scheme for all parametric variations. The results demonstrate that the Carreau fluid parameter promotes fluid velocity, while an increase in the viscosity ratio and shear strength ratio reduces it. Brownian motion and thermophoresis parameters suppress temperature near the interface, whereas thermal radiation enhances it. The density of motile microorganisms rises with higher bioconvection and Péclet numbers but decreases with increasing microorganism Schmidt number. Quantitative results for skin friction, Nusselt number, Sherwood number, and microorganism density validate the influence of these parameters in both regions. The findings provide valuable insights for optimizing microfluidic transport, bioconvective systems, and nanofluid-based heat exchangers where multi-phase shear interactions and microorganism activity are significant.
这项研究提出了一个全面的数值研究两相边界层剪切流动涉及非混相非牛顿卡罗和切线双曲纳米流体包含运动微生物。分析探讨了热泳、布朗运动和热辐射对不同剪切区域的速度、温度、浓度和微生物密度分布的耦合效应。在纳米流体中加入微生物可以增强导热性,稳定流动结构,有助于改善与生物医学、能源和环境系统相关的传输现象。采用相似变换将控制非线性微分方程转化为无因次形式,并采用MATLAB bvp4c配置法求解,保证了较高的数值精度。网格无关性测试证实了该方案对所有参数变化的收敛性和稳定性。结果表明:carcarau流体参数对流体速度有促进作用,而黏度比和抗剪强度比的增大对流体速度有抑制作用;布朗运动和热泳参数抑制界面附近的温度,而热辐射则增强界面附近的温度。流动微生物密度随生物对流和psamclet数的增加而升高,随微生物施密特数的增加而降低。皮肤摩擦、努塞尔数、舍伍德数和微生物密度的定量结果验证了这些参数在两个区域的影响。这些发现为优化微流体传输、生物对流系统和基于纳米流体的热交换器提供了有价值的见解,其中多相剪切相互作用和微生物活性是重要的。
{"title":"Boundary layer interaction of immiscible non-Newtonian nanofluids in distinct shear flows with motile microorganisms","authors":"Z. Abbas,&nbsp;S. Goher,&nbsp;M.Y. Rafiq","doi":"10.1016/j.dynatmoce.2025.101629","DOIUrl":"10.1016/j.dynatmoce.2025.101629","url":null,"abstract":"<div><div>This study presents a comprehensive numerical investigation of two-phase boundary layer shear flows involving immiscible non-Newtonian Carreau and Tangent hyperbolic nanofluids incorporating motile microorganisms. The analysis explores the coupled effects of thermophoresis, Brownian motion, and thermal radiation on velocity, temperature, concentration, and microorganism density profiles across distinct shear regions. Incorporating microorganisms within nanofluids enhances thermal conductivity and stabilizes the flow structure, contributing to improved transport phenomena relevant to biomedical, energy, and environmental systems. The governing nonlinear differential equations are transformed into dimensionless form using similarity transformations and solved via the MATLAB bvp4c collocation method to ensure high numerical accuracy. A grid independence test confirms the convergence and stability of the scheme for all parametric variations. The results demonstrate that the Carreau fluid parameter promotes fluid velocity, while an increase in the viscosity ratio and shear strength ratio reduces it. Brownian motion and thermophoresis parameters suppress temperature near the interface, whereas thermal radiation enhances it. The density of motile microorganisms rises with higher bioconvection and Péclet numbers but decreases with increasing microorganism Schmidt number. Quantitative results for skin friction, Nusselt number, Sherwood number, and microorganism density validate the influence of these parameters in both regions. The findings provide valuable insights for optimizing microfluidic transport, bioconvective systems, and nanofluid-based heat exchangers where multi-phase shear interactions and microorganism activity are significant.</div></div>","PeriodicalId":50563,"journal":{"name":"Dynamics of Atmospheres and Oceans","volume":"113 ","pages":"Article 101629"},"PeriodicalIF":2.0,"publicationDate":"2025-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145684931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multiple analytic solutions for irreversible mechanism and Joule heating impact on dissipative micropolar fluid flow driven by stretching/shrinking surface with PST and PHF boundary conditions PST和PHF边界条件下拉伸/收缩表面驱动耗散微极流体流动的不可逆机理和焦耳加热影响的多重解析解
IF 2 4区 地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS Pub Date : 2025-12-01 DOI: 10.1016/j.dynatmoce.2025.101616
S.M. Sachhin , M.S. Bharath , G.M. Sachin , U.S. Mahabaleshwar , D. Laroze , H.F. Oztop
The current research aims to examine the Joule heating and magnetic field influence on micropolar fluid flow across expanding surface, which is is significant in enhancing the efficiency in biomedical and engineering fields, In this analysis, examined the influence of entropy generation, magnetic field, porous medium, and prescribed boundary restrictions. To the best of authors knowledge, no prior research has studied all these effects simultaneously, which emphasizes the originality of the current analysis. The considered governing partial differential equations are transformed to ordinary differential equations by using similarity expressions and then formulated analytically using hypergeometric series solutions. The dual solutions have been extracted from the current analysis which offers deeper insights into the micropolar fluid behaviour under considered physical effects. The outcomes of the present analysis reveal that enhancing the porous media and magnetic field reduces the momentum by 15 %. With enhancing the internal heat source enhances the temperature by 20 %, and thermal radiation enhances temperature by 29 %, enhancing the viscosity ration reduces the velocity by 23 %. These results help in analysing the blood movement modelling, advanced medical therapies, and magnetic drug delivery among others.
本研究旨在研究焦耳加热和磁场对微极流体在膨胀表面上流动的影响,这对提高生物医学和工程领域的效率具有重要意义。在本分析中,研究了熵生,磁场,多孔介质和规定边界限制的影响。据作者所知,之前没有研究同时研究所有这些影响,这强调了当前分析的独创性。利用相似表达式将所考虑的控制偏微分方程转化为常微分方程,然后用超几何级数解解析表示。从当前的分析中提取了双溶液,这为考虑物理效应下的微极流体行为提供了更深入的见解。本分析的结果表明,增强多孔介质和磁场可使动量降低15% %。增加内部热源使温度提高20 %,热辐射使温度提高29 %,增加粘度比使速度降低23 %。这些结果有助于分析血液运动模型、先进的医疗疗法和磁性药物输送等。
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引用次数: 0
Energy transport in ternary hybrid nanofluid with variable thermal conductivity under the combined effects of electroviscous, electric potential, and heat generation 电粘性、电势和产热共同作用下变导热三元杂化纳米流体中的能量输运
IF 2 4区 地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS Pub Date : 2025-12-01 DOI: 10.1016/j.dynatmoce.2025.101619
Shafiq Ahmad , Aamir Abbas Khan , Muhammad Naveed Khan , Salah Knani , N. Ameer Ahammad , Ibrahim E. Elseesy
This article uses squeezing plates containing ternary hybrid nanofluid to scrutinize the behavior of transient electroviscous fluid flow with an induced magnetic field. By dissolving the constituents, such as silicon carbide, aluminum oxide, and multiwall carbon nanotubes, in a base fluid of water, a ternary hybrid nanofluid MWCNT+Al2O3+SiC/H2O was created. The current work aims to increase the energy transfer rate for technical and industrial applications. In the presence of heat generation, thermal radiation, and varying thermal conductivity, fluid flow exhibits its thermal behavior. Through the use of similarity substitution, an ordinary differential equation (ODE) set is obtained from a system of partial differential equations (PDEs) representing the ternary hybrid nanofluid flow. After that, using the bvp4c approach, the dimensionless ordinary differential equations in the nonlinear set are solved. On ternary hybrid nanofluid (MWCNT+Al2O3+SiC/H2O) and unary nanofluid (Al2O3/H2O), the graphical and numerical results are found against the many parameters. The findings show that, in comparing to unary nanofluids, ternary hybrid nanofluids have a greater impact on heat transfer rate owing to the fact that the inclusion of nanofluids to the base fluid intensifies heat transport rate.
本文利用含三元杂化纳米流体的挤压板研究了瞬态电粘性流体在感应磁场作用下的流动行为。通过将碳化硅、氧化铝和多壁碳纳米管等成分溶解在水的基液中,形成了MWCNT+Al2O3+SiC/H2O三元混合纳米流体。目前的工作旨在提高技术和工业应用的能量转移速度。在热产生、热辐射和热导率变化的情况下,流体流动表现出其热行为。利用相似代入的方法,从三元混合纳米流体流动的偏微分方程组中得到一个常微分方程集。在此基础上,利用bvp4c方法对非线性集合中的无量纲常微分方程进行求解。对三元杂化纳米流体(MWCNT+Al2O3+SiC/H2O)和一元纳米流体(Al2O3/H2O),在多种参数下得到了图形和数值结果。研究结果表明,与一元纳米流体相比,三元混合纳米流体对传热速率的影响更大,这是由于纳米流体与基流体的包裹体增强了传热速率。
{"title":"Energy transport in ternary hybrid nanofluid with variable thermal conductivity under the combined effects of electroviscous, electric potential, and heat generation","authors":"Shafiq Ahmad ,&nbsp;Aamir Abbas Khan ,&nbsp;Muhammad Naveed Khan ,&nbsp;Salah Knani ,&nbsp;N. Ameer Ahammad ,&nbsp;Ibrahim E. Elseesy","doi":"10.1016/j.dynatmoce.2025.101619","DOIUrl":"10.1016/j.dynatmoce.2025.101619","url":null,"abstract":"<div><div>This article uses squeezing plates containing ternary hybrid nanofluid to scrutinize the behavior of transient electroviscous fluid flow with an induced magnetic field. By dissolving the constituents, such as silicon carbide, aluminum oxide, and multiwall carbon nanotubes, in a base fluid of water, a ternary hybrid nanofluid <span><math><mrow><mi>M</mi><mi>W</mi><mi>C</mi><mi>N</mi><mi>T</mi><mo>+</mo><mi>A</mi><msub><mrow><mi>l</mi></mrow><mrow><mn>2</mn></mrow></msub><msub><mrow><mi>O</mi></mrow><mrow><mn>3</mn></mrow></msub><mo>+</mo><mi>S</mi><mi>i</mi><mi>C</mi><mo>/</mo><msub><mrow><mi>H</mi></mrow><mrow><mn>2</mn></mrow></msub><mi>O</mi></mrow></math></span> was created. The current work aims to increase the energy transfer rate for technical and industrial applications. In the presence of heat generation, thermal radiation, and varying thermal conductivity, fluid flow exhibits its thermal behavior. Through the use of similarity substitution, an ordinary differential equation (ODE) set is obtained from a system of partial differential equations (PDEs) representing the ternary hybrid nanofluid flow. After that, using the bvp4c approach, the dimensionless ordinary differential equations in the nonlinear set are solved. On ternary hybrid nanofluid (<span><math><mrow><mi>M</mi><mi>W</mi><mi>C</mi><mi>N</mi><mi>T</mi><mo>+</mo><mi>A</mi><msub><mrow><mi>l</mi></mrow><mrow><mn>2</mn></mrow></msub><msub><mrow><mi>O</mi></mrow><mrow><mn>3</mn></mrow></msub><mo>+</mo><mi>S</mi><mi>i</mi><mi>C</mi><mo>/</mo><msub><mrow><mi>H</mi></mrow><mrow><mn>2</mn></mrow></msub><mi>O</mi></mrow></math></span>) and unary nanofluid (<span><math><mrow><mi>A</mi><msub><mrow><mi>l</mi></mrow><mrow><mn>2</mn></mrow></msub><msub><mrow><mi>O</mi></mrow><mrow><mn>3</mn></mrow></msub><mo>/</mo><msub><mrow><mi>H</mi></mrow><mrow><mn>2</mn></mrow></msub><mi>O</mi></mrow></math></span>), the graphical and numerical results are found against the many parameters. The findings show that, in comparing to unary nanofluids, ternary hybrid nanofluids have a greater impact on heat transfer rate owing to the fact that the inclusion of nanofluids to the base fluid intensifies heat transport rate.</div></div>","PeriodicalId":50563,"journal":{"name":"Dynamics of Atmospheres and Oceans","volume":"112 ","pages":"Article 101619"},"PeriodicalIF":2.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145618100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Risk mapping of dynamic dust storms and multi-hazard maritime navigation in the red sea using machine learning and MODIS Data 利用机器学习和MODIS数据绘制红海动态沙尘暴和多灾种海上航行风险图
IF 2 4区 地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS Pub Date : 2025-12-01 DOI: 10.1016/j.dynatmoce.2025.101621
Yazeed Alsubhi , Bassam M. Aljahdali , Ayman F. Alghanmi , Hussain T. Sulaimani , Ahmad E. Samman
Dust storms represent a significant hazard to maritime navigation, particularly in regions such as Saudi Arabia, where frequent dust events, driven by vast desert landscapes and oceanic wind patterns, reduce visibility and disrupt maritime operations. This paper proposes a comprehensive framework for evaluating visibility risks posed by dust storms in Saudi Arabian maritime zones, specifically focusing on the Red Sea. The methodology considers MODIS AOD (Aerosol Optical Depth) data, wind speed, and cloud cover to develop a dynamic risk assessment model using random forest (RF) for dust storm detection and visibility risk prediction. The model integrates spatial data layers for environmental factors (wind, waves, and depth), creating seasonal risk maps that dynamically adjust based on changing environmental conditions. GIS technology was used to visualize risk zones, and the RF model provided data-driven weighting of risk factors. The model’s performance was validated using metrics such as probability of detection (POD) (0.92), probability of false detection (PFD) (0.05), and equitable threat score (ETS) (0.85), demonstrating superior accuracy over traditional methods like analytic hierarchy process (AHP) and CRiteria importance through intercriteria correlation (CRITIC). The findings indicate that Autumn represents the most hazardous season for maritime navigation due to frequent dust storms, with the central Red Sea being the most impacted area. The results demonstrate the potential of this approach for improving navigation safety and early warning tools in the Red Sea and similar arid coastal regions.
沙尘暴对海上航行构成重大危害,特别是在沙特阿拉伯等地区,在那里,由于广阔的沙漠景观和海风模式,频繁发生沙尘暴,降低了能见度,扰乱了海上作业。本文提出了一个综合框架,用于评估沙尘暴在沙特阿拉伯海域造成的能见度风险,特别是关注红海。该方法考虑了MODIS AOD(气溶胶光学深度)数据、风速和云量,开发了一个使用随机森林(RF)进行沙尘暴探测和能见度风险预测的动态风险评估模型。该模型集成了环境因素(风、波浪和深度)的空间数据层,创建了基于不断变化的环境条件动态调整的季节性风险图。利用GIS技术可视化风险区域,RF模型提供数据驱动的风险因素加权。通过检测概率(POD)(0.92)、误检概率(PFD)(0.05)和公平威胁评分(ETS)(0.85)等指标验证了该模型的性能,显示出比传统方法(如层次分析法(AHP)和标准间相关性(CRITIC)标准重要性)更优的准确性。研究结果表明,由于沙尘暴频繁,秋季是海上航行最危险的季节,其中红海中部是受影响最严重的地区。结果表明,这种方法在改善红海和类似干旱沿海地区的航行安全和预警工具方面具有潜力。
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引用次数: 0
Behavior of magneto-viscoelastic fluid flow through a permeable medium with heat source/sink using hybrid methodology 采用混合方法研究具有热源/热源的磁粘弹性流体在可渗透介质中的流动行为
IF 2 4区 地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS Pub Date : 2025-11-27 DOI: 10.1016/j.dynatmoce.2025.101620
P.P. Nayak , S.R. Mishra , Subhajit Panda
Viscoelastic fluids change their rheological properties in response to an applied electric or magnetic field. In particular, applications in vehicle damping systems, vibration control devices, shock absorbers, and smart materials for structural engineering the role of viscoelastic fluid is vital. Therefore, the proposed study investigates the influence of magnetized viscoelastic fluid through a permeable medium due to the interaction of a heat source/sink. The free convection with radiative heat transfer characterizes the transport properties significantly. The relevant similarity rules are adopted for the transmutation of the governing phenomena into ordinary as well as dimensionless. Further, the complexity of the flow phenomena impulses to the implementation of perturbation technique to reduce the order of the problem, and then a numerical method such as shooting combined with Runge-Kutta fourth-order contributes to solving the system. Graphs are used to illustrate the characteristics of physical parameters that contribute to the flow phenomena. However, the analysis ended with important flow behaviour described briefly in the conclusion. The study reveals that the heat transfer shows dual behavior with magnetic and radiation effects, being stronger in permeable media. Magnetization reduces shear and mass transfer, while buoyancy boosts velocity. Radiation and chemical reactions influence temperature rise and concentration drop, respectively.
粘弹性流体在外加电场或磁场的作用下改变其流变特性。特别是在车辆阻尼系统、振动控制装置、减震器和结构工程智能材料的应用中,粘弹性流体的作用至关重要。因此,本研究探讨了磁化粘弹性流体通过可渗透介质时由于热源/热源的相互作用而产生的影响。带辐射换热的自由对流对传热特性有显著的影响。将控制现象转化为普通现象和无量纲现象时,采用了相关的相似规则。进一步,由于流动现象的复杂性,需要采用微扰技术来降低问题的阶数,然后采用射击等数值方法结合龙格-库塔四阶方法对系统进行求解。图形用来说明导致流动现象的物理参数的特征。然而,分析以结论中简要描述的重要流动特性结束。研究表明,传热表现为磁效应和辐射效应的双重行为,在渗透性介质中传热更强。磁化减少剪切和质量传递,而浮力提高速度。辐射和化学反应分别影响温度上升和浓度下降。
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引用次数: 0
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Dynamics of Atmospheres and Oceans
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