The DLQ algorithm infers an emission rate estimate by minimizing the mean squared error between simulated concentrations from the most likely source and the actual CMS concentration measurements by scaling the amplitude of the simulated concentrations. The emission rate that minimizes error is taken to be the emission rate estimate. We run this algorithm on the minute-frequency concentration data from each solution separately in subsequent, non-overlapping 30-minute intervals. This provides a rate estimate every 30 minutes for each CMS solution. Note that this procedure imposes the assumption that one source is emitting at a constant rate within each 30-minute interval. We create confidence intervals for the emission rate estimates by bootstrapping the available data within each 30-minute interval, which creates a distribution of possible emission rates.