Numerical modeling and spatial stability analysis of the wall jet flow of nanofluids with thermophoresis and brownian effects

The present work describes similarity solution to a general scheme for the wall jet flow of nanofluids,accounting both the similarity branches(say upper and lower),allowed with respect to the suction and moving wall conditions in the context of Glauert type e-jets.Before proceeding with this,a spatial stability analysis is performed to check the stability of the similarity modes.Results indicated that the upper similarity branch is possibly stable;whilst,the lower branch is not likely to reside in actual physics.The governing transport equations of mass and energy subject to a general two-phase modeling framework were transformed into similarity equations.The involved equations were then solved numerically employing the standard 4th order Runge-Kutta together with shooting technique.The influence of the involved parameters is shown graphically and in a detailed manner.In the last section,it is presented closed-form algebraic solution to the energy equation for the base fluids with a general convective boundary condition.

Spatiotemporal Changes in NDVI and Its Driving Factors in the Kherlen River Basin

Vegetation is an important factor linking the atmosphere,water,soil,and biological functions,and it plays a specific role in the climate change response and sustainable development of regional economies.However,little information is available on vegetation vulnerability and its driving mechanism.Therefore,studying temporal and spatial change characteristics of vegetation and their corresponding mechanisms is important for assessing ecosystem stability and formulating ecological policies in the Kherlen River Basin.We used Moderate-resolution Imaging Spectroradiometer(MODIS)normalized difference vegetation index(NDVI)remote sensing images from 2000 to 2020 to analyse temporal changes in NDVI with the autoregressive moving average model(ARMA)and the breaks for additive season trend(BFAST)in the basin and to assess natural,anthropogenic and topographic factors with the Geodetector model.The results show that:1)the long NDVI time series remained stable in the Kherlen River Basin from 2000 to 2020,with a certain significant mutation period from 2013 to 2017;2)the coefficient of variation(CV)in the analysis of the spatial NDVI was generally constant,mainly at the level of 0.01–0.07,and the spatial NDVI change was minimally impacted by external interference;and 3)temperature and precipitation are the key factors affecting the NDVI in the basin,and changes in local hydrothermal conditions directly affect the local NDVI.The results of this study could provide a scientific basis for the effective protection of the ecological environment and will aid in understanding the influence of vegetation change mechanisms and the corresponding factors.