Comprehensive regression models were developed for estimating leachate BOD and COD first-order degradation rate constants as functions of landfill temperature, rainfall rate, and waste composition. Scale-up factors were calculated to convert the rate constants based on lab-data to field-scale rate constants. The models with scale-up factors can enable leachate BOD and COD concentrations to be estimated over time for any landfill, given information about a given landfill's precipitation rate, temperature, and percents of different types of waste. The models must be validated using additional field data. The best models for k_(BOD) and k_(COD) showed that increasing rainfall rate and temperature leads to higher BOD and COD concentration in leachate, which translates into faster waste decomposition. The k_(COD) model suggested that only paper and textile waste contributed towards COD concentration. Paper, yard, and food wastes were found to be significant in the k_(BOD) model. The TP (temperature-paper) interaction term in both models suggested that paper waste decomposes faster at high temperature.
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