Process analysis predicting degradation rate

The present approach by the modeler is to estimate k from laboratory studies, assuming that these studies approximate the degradation process under field conditions. Recognizing the probability that degradation rates are both spatially and temporally variable, deterministic research and management models should both be executed with a range of k values to represent the influence upon pesticide fate of the field variation of degradation processes. Yet, sensitivity analysis of models or comparison of such predictions with field data on this basis is almost non-existent. Development of functional relationships between k and the environmental variables cited above would be very useful,... 

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