scholarly journals Spatial Estimation of Sika Deer Population Density Distribution

2007 ◽  
Vol 13 (1) ◽  
pp. 1-14 ◽  
Author(s):  
Hiroshi Kondoh ◽  
Koichi Ikeda ◽  
Toru Koizumi
FORMATH ◽  
2005 ◽  
Vol 4 (0) ◽  
pp. 135-146
Author(s):  
H. Kondoh ◽  
K. Ikeda ◽  
T. Koizumi ◽  
T. Murakami ◽  
S. Yoshida

PLoS ONE ◽  
2019 ◽  
Vol 14 (12) ◽  
pp. e0226078
Author(s):  
Hayato Yama ◽  
Tomoko Naganuma ◽  
Kahoko Tochigi ◽  
Bruna Elisa Trentin ◽  
Rumiko Nakashita ◽  
...  

Sika Deer ◽  
2008 ◽  
pp. 405-419 ◽  
Author(s):  
Hiroyuki Uno ◽  
Koichi Kaji ◽  
Katsumi Tamada

Symmetry ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 1498 ◽  
Author(s):  
Taraprasad Bhowmick ◽  
Yong Wang ◽  
Michele Iovieno ◽  
Gholamhossein Bagheri ◽  
Eberhard Bodenschatz

The physics of heat and mass transfer from an object in its wake has significant importance in natural phenomena as well as across many engineering applications. Here, we report numerical results on the population density of the spatial distribution of fluid velocity, pressure, scalar concentration, and scalar fluxes of a wake flow past a sphere in the steady wake regime (Reynolds number 25 to 285). Our findings show that the spatial population distributions of the fluid and the transported scalar quantities in the wake follow a Cauchy-Lorentz or Lorentzian trend, indicating a variation in its sample number density inversely proportional to the squared of its magnitude. We observe this universal form of population distribution both in the symmetric wake regime and in the more complex three dimensional wake structure of the steady oblique regime with Reynolds number larger than 225. The population density distribution identifies the increase in dimensionless kinetic energy and scalar fluxes with the increase in Reynolds number, whereas the dimensionless scalar population density shows negligible variation with the Reynolds number. Descriptive statistics in the form of population density distribution of the spatial distribution of the fluid velocity and the transported scalar quantities is important for understanding the transport and local reaction processes in specific regions of the wake, which can be used e.g., for understanding the microphysics of cloud droplets and aerosol interactions, or in the technical flows where droplets interact physically or chemically with the environment.


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