We compared the stream discharge for Streams A, B, and C using a line plot. Here are the key observations:

The line plot visually illustrates the differences in discharge rates over time, providing a clear comparison of the streams' behaviors.

To perform a wavelet analysis, we'll first compute the wavelet transform for each stream's discharge data. This will help us understand the frequency components over time. After computing the transforms, we'll plot them to visualize the changes in frequencies. Let's start with the computation and visualization for each stream.

We performed a wavelet analysis for each stream (A, B, C) to identify frequency components over time. Here's a summary of the findings from the wavelet transform plots:

These wavelet transform plots provide a detailed view of the temporal changes in discharge rates for each stream, highlighting periods of high and low frequency components which can be linked to environmental or seasonal factors affecting water flow.

To compare the streams before and after 2013, we'll split the data into two periods: before 2013 and from 2013 onwards. Then, we'll calculate the average discharge for each stream in these two periods and compare the results to identify any significant changes.

We compared the average stream discharge before and after 2013 for Streams A, B, and C. Here are the key findings:

This comparison indicates an increase in discharge for Streams A and B after 2013, while Stream C's discharge remained stable.

To explore the correlation between stream discharge and rainfall, we need data that includes rainfall measurements alongside the stream discharge data. Could you please provide the rainfall data or confirm if it's included in the current dataset? If it's not available, we can simulate rainfall data to demonstrate how such an analysis would be conducted.

Since we don't have actual rainfall data, we'll simulate rainfall measurements to demonstrate how to explore the correlation between stream discharge and rainfall. This will involve generating synthetic rainfall data, merging it with the stream discharge data, and then visualizing the correlation between them for each stream.

We visualized the correlation between stream discharge and simulated rainfall data for Streams A, B, and C. Here's a summary of the visualization:

The visualization helps in understanding how rainfall could potentially influence the discharge rates of each stream, although actual data analysis would be required to confirm any specific correlations.