Open AccessConditional spatial interpolation method for detecting minimally polluted areas with selective aerosol emissions to the city atmosphere
Author(s) -
Hikmet Asadov,
R. Sh. Mammadli
Publication year - 2020
Publication title -
radiopromyšlennostʹ
Language(s) - English
Resource type - Journals
eISSN - 2541-870X
pISSN - 2413-9599
DOI - 10.21778/2413-9599-2020-30-3-57-66
Subject(s) - interpolation (computer graphics) , multivariate interpolation , aerosol , point (geometry) , atmosphere (unit) , sampling (signal processing) , point source , mathematics , trilinear interpolation , environmental science , meteorology , computer science , geography , statistics , geometry , bilinear interpolation , physics , computer vision , optics , motion (physics) , filter (signal processing)
Continuous surface interpolation is an important aspect of spatial analysis. A number of methods are used to interpolate a continuous surface, one of which is the spatial interpolation method with the Inverse Distance Weight (IDW) ratio. The purpose of this article is to develop a method of conditional spatial interpolation for finding such spatial points in the urban zone where the impact of selective accidental aerosol emissions into the city atmosphere is minimal. Conditional spatial interpolation refers to the case when the distances to the interpolated points are set by a certain condition, and it is necessary to determine the interpolated point where the above influence is minimal. In this case, spatial samples or base points used for interpolation are formed when a single powerful aerosol source is exposed to individual channels (distances). It is shown that there is an optimal relationship between the distances from the sampling point to the interpolation point and from the sampling point to the powerful aerosol source, at which the total effect of the powerful source on the interpolated point is minimal.