Spatial analysis of acid precipitation data

Journal Article · Sun Jan 01 04:00:00 EST 1984 · J. Clim. Appl. Meteorol.; (United States)

DOI:https://doi.org/10.1175/1520-0450(1984)023<0052:TSAOAP>2.0.CO;2· OSTI ID:6454650

Finkelstein, P L

Kriging, an interpolation procedure that minimizes interpolation error and gives an accurate estimate of that error, is shown to be an appropriate objective analysis procedure for the study of spatial variability and structure in acid precipitation data. Variograms for H(+), SO4, NO3, and NH4 are presented. They are shown to be clearly distance dependent in all cases, increasing with increasing distance between stations. The functional form of the increase, however, was not consistent. Typical isopleths with their corresponding one sigma confidence limits are computed. The spatial extent of these confidence limits is considerable, illustrating the difficulty of fine structure analysis of acid precipitation data with the existing network of sampling sites. Kriging is also a useful procedure for sampling network design and improvement. Illustrations are presented which show how increases in network density quantitatively improve spatial analysis by decreasing interpolation error. 21 references.

• OSTI ID: 6454650
• Journal Information: J. Clim. Appl. Meteorol.; (United States), Journal Name: J. Clim. Appl. Meteorol.; (United States) Vol. 23; ISSN JCAME
• Country of Publication: United States
• Language: English

Related Subjects

500200* -- Environment
Atmospheric-- Chemicals Monitoring &amp; Transport-- (-1989)
54 ENVIRONMENTAL SCIENCES
ACID RAIN
AIR POLLUTION
ATMOSPHERIC PRECIPITATIONS
CHARGED PARTICLES
DATA ANALYSIS
DISTRIBUTION
HYDROGEN IONS
INTERPOLATION
IONS
NITRATES
NITROGEN COMPOUNDS
NUMERICAL SOLUTION
OXYGEN COMPOUNDS
POLLUTION
RAIN
SPATIAL DISTRIBUTION
SULFATES
SULFUR COMPOUNDS