Spatial trend analysis and uncertainty estimates of acid precipitation data in Ontario

Conference · Tue Jan 01 04:00:00 EST 1985 · Proc., Annu. Meet., Air Pollut. Control Assoc.; (United States)

OSTI ID:5744715

Tang, A J.S.; Chan, W H

The use of the Simple Kriging and Universal Kriging methods to estimate the spatial trend in the spatial data is examined. By following the approach of the Simple Kriging methods, a new Modified Kriging method has been developed for better presentation of the spatial pattern of spatial data and error estimation. Results of comparison indicate that the Modified Simple Kriging method can provide better interpolation and error estimation for the mathematical functions. Although the results of practical interpolation obtained by using the three methods are quite comparable, the error estimates by the Simple Kriging and Universal Kriging methods are greater than those of the modified Simple Kriging method and the one standard deviation confidence belts are overlapping each other. This may indicate that the error estimations from the Simple Kriging methods are too great.The Universal Kriging method provides the greatest error estimation among these three methods. Although those results indicate that there is no advantages of using the Universal Kriging method, further study on the proper formula for the generalized covariance function should be carried out. The heart of the Universal Kriging method is to find the correct covariance function, since the isopleths and the error of estimation are very sensitive to it.

• Research Organization: Ontario Ministry of the Environment, Toronto, Ontario
• OSTI ID: 5744715
• Report Number(s): CONF-850612-
• Conference Information: Journal Name: Proc., Annu. Meet., Air Pollut. Control Assoc.; (United States) Journal Volume: 1
• Country of Publication: United States
• Language: English

Related Subjects

500200* -- Environment
Atmospheric-- Chemicals Monitoring & Transport-- (-1989)
54 ENVIRONMENTAL SCIENCES
ACID RAIN
ATMOSPHERIC PRECIPITATIONS
CALCULATION METHODS
CANADA
COMPARATIVE EVALUATIONS
DATA ANALYSIS
DATA COVARIANCES
DISTRIBUTION
ERRORS
FUNCTIONS
INTERPOLATION
KRIGING
MATHEMATICS
NORTH AMERICA
NUMERICAL SOLUTION
ONTARIO
RAIN
SPATIAL DISTRIBUTION
STATISTICS