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RECORD NUMBER: 18 OF 152

OLS Field Name OLS Field Data
Main Title Comparison of Indices That Describe the Relationship between Exposure to Ozone and Reduction in the Yield of Agricultural Crops.
Author Lefohn, A. S. ; Laurence, J. A. ; Kohut, R. J. ;
CORP Author Boyce Thompson Inst. for Plant Research, Ithaca, NY. ;A.S.L. and Associates, Helena, MT.;Corvallis Environmental Research Lab., OR.
Publisher c1988
Year Published 1988
Report Number EPA/600/J-88/513;
Stock Number PB90-216342
Additional Subjects Ozone ; Exposure ; Farm crops ; Air pollution ; Concentration(Composition) ; Soybean plants ; Wheat plants ; Yield ; Monitoring ; Indicator species ; Controlled atmospheres ; Response ; Mathematical models ; Comparison ; Evaluation ; Reprints ; Air pollution effects(Plants)
Holdings
Library Call Number Additional Info Location Last
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Status
NTIS  PB90-216342 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 08/27/1990
Collation 14p
Abstract
The objective of the study is to compare the use of several indices of exposure in describing the relationship between O3 and reduction in agricultural crop yield. No attempt has been made to determine which exposure-response models best fit the data sets examined. Hourly mean O3 concentration data, based on two-three measurements per hour, were used to develop indices of exposure from soybean and winter wheat experiments conducted in open-top chambers at the Boyce Thompson Institute, Ithaca, NY NCLAN field site. The comparative efficacy of cumulative indices (i.e. number of occurrences equal to or above specific hourly mean concentrations, sum of all hourly mean concentrations equal to or above a selected level, and the weighted sum of all hourly mean concentrations) and means calculated over an experimental period to describe the relationship between exposure to O3 and reductions in the yield of agricultural crops was evaluated. None of the exposure indices consistently provided a best fit with the Weibull and linear models tested. The selection of the model appears to be important in determining the indices that best describe the relationship between exposure and response.