The modeling of spatio-temporal processes is crucial in many fields such as environmental science, hydrology, and water storage engineering. A basic concept the model an auto-covariance function. stream network based on Euclidean distance function for investigating river pollution will potentially face a serious accuracy problem, due to material or pollutant movement only occurring within trave...

the estimation of pollution fields, especially in densely populated areas, is an important application in the field of environmental science due to the significant effects of air pollution on public health. in this paper, we investigate the spatial distribution of three air pollutants in tehran’s atmosphere: carbon monoxide (co), nitrogen dioxide (no2), and atmospheric particulate matters less ...

We investigated the effect of viewing conditions on human visual perception of colorfulness and constructed a mathematical model for colorfulness by fitting regression curves to LUTCHI color appearance data. This model enables the simple and effective prediction of the relative appearance attribute of colorfulness as a function of brightness and saturation, taking into account a range of viewin...

The authors draw on Pierre Bourdieu's theory of cultural reproduction to develop a formal model of the pathways through which cultural capital acts to enhance children's educational and socioeconomic success. The authors' approach brings conceptual and empirical clarity to an important area of study. Their model describes how parents transmit cultural capital to their children and how children ...

In  this  paper a  non-linear  model  with  fractional  order  is  presented  for  analyzing  and  controlling the  spread  of  HIV virus.  Both  the  disease-free  equilibrium and the endemic equilibrium are  found  and  their  stability is  discussed. The basic reproduction number , which is a function of the constant parameters in the model, plays an essential  role in the stability of  the ...