Peristaltic transport of non-Newtonian nanofluids with double diffusion is essential to biological engineering,microfluidics,and manufacturing processes.The authors tackle the key problem of Sisko nanofluids under dou...Peristaltic transport of non-Newtonian nanofluids with double diffusion is essential to biological engineering,microfluidics,and manufacturing processes.The authors tackle the key problem of Sisko nanofluids under double diffusion convection with thermal radiations and electroosmotic effects.Thestudy proposes a solution approach by using Morlet-Wavelet Neural Networks that can effectively solve this complex problem by their superior ability in the capture of nonlinear dynamics.These convergence analyses were calculated across fifty independent runs.Theil’s Inequality Coefficient and theMean Squared Error values range from 10^(-7) to 10^(-5) and 10^(-7) to 10^(-10),respectively.These values showed the proposed method is scientifically reliable and fast converging.Studies reveal that the intensity of the magnetic field causes a reduction in the flow velocity profile in the center of the channel.It is also evaluated that thermal radiations enhance the energy of the system,which promotes thermally induced diffusion and particle flow.The physical applications of this work pertain to improving fluid flow and heat transfer in engineering structures like converters or cooling devices or magnetic fluids in electronics,energy,and biomedical applications,where optimal control of fluid behavior is of paramount importance.展开更多
为明确青海高原大气可降水量(Precipitable water vapor,PWV)的时空演变规律及其与气候要素的关联,为区域水资源管理、生态环境保护及气候应对提供科学依据。基于1961—2020年青海省42个地面气象站资料,运用PWV与地面水汽压的经验关系式...为明确青海高原大气可降水量(Precipitable water vapor,PWV)的时空演变规律及其与气候要素的关联,为区域水资源管理、生态环境保护及气候应对提供科学依据。基于1961—2020年青海省42个地面气象站资料,运用PWV与地面水汽压的经验关系式,计算分析青海高原PWV的时空分布特征。结果表明:(1)近60 a青海高原PWV以1.0 mm·(10a)^(-1)的速率呈明显的增加趋势,在夏季达到最大值,月际变化呈单峰型。(2)空间分布上,PWV由西向东,由北向南增加,高值区分布在东部农业区,低值区分布在柴达木盆地,四季的最大值均在东部农业区,最低值出现在冬季。(3)青海高原年均PWV存在明显的突变和周期变化,突变发生在1997年,6~10 a时间尺度上的周期变化较强。(4)未来,青海高原PWV保持当前继续上升趋势的概率比较大,Hurst指数大于0.8,说明未来一段时间PWV仍将呈现持续上升的趋势。(5)青海高原PWV与降水量和气温相关性较高,随着全球气候的不断变暖,青海高原全年可利用降水量偏多。展开更多
文摘Peristaltic transport of non-Newtonian nanofluids with double diffusion is essential to biological engineering,microfluidics,and manufacturing processes.The authors tackle the key problem of Sisko nanofluids under double diffusion convection with thermal radiations and electroosmotic effects.Thestudy proposes a solution approach by using Morlet-Wavelet Neural Networks that can effectively solve this complex problem by their superior ability in the capture of nonlinear dynamics.These convergence analyses were calculated across fifty independent runs.Theil’s Inequality Coefficient and theMean Squared Error values range from 10^(-7) to 10^(-5) and 10^(-7) to 10^(-10),respectively.These values showed the proposed method is scientifically reliable and fast converging.Studies reveal that the intensity of the magnetic field causes a reduction in the flow velocity profile in the center of the channel.It is also evaluated that thermal radiations enhance the energy of the system,which promotes thermally induced diffusion and particle flow.The physical applications of this work pertain to improving fluid flow and heat transfer in engineering structures like converters or cooling devices or magnetic fluids in electronics,energy,and biomedical applications,where optimal control of fluid behavior is of paramount importance.
