long-term trends in reported GHG emissions in Alberta
- Now explore long-term trends in reported GHG emissions in Alberta. In order to meaningfully compare the data over time, emissions from facilities reporting their emissions voluntarily must be excluded. Therefore, for the comparisons over the entire period (2004 – 2013), consider only facilities whose emissions are 100 kt CO2e or more. (a) Obtain the total CO2e emissions for all facilities with total CO2e emissions of 100 kt or more for each year of the period (2004 – 2013). Paste the summaries into your report. (Make sure to use the “Store in data table” option.) Based on the summaries, calculate the percentage increase in total emissions over the entire period. (b) Obtainatimeplotforthesummariesobtainedinpart(a).Pastetheplotintoyourreport.Comment about the change in total CO2e over the period. (c) Obtainside-by-[unique_solution]sideboxplotsoftotalCO2eemissionsbyYearforallfacilitieswithtotalemissions of 100 kt or more for each year of the period (2004 – 2013). Check the “Use fences to identify outliers” option. Paste the graph into your report. Compare the centres, spreads, and shapes of the ten distributions and provide a brief summary. Identify the largest emitters over the period (hover the cursor over the outliers). If the same facility appears more than once as the largest emitter in the period, assess progress in reducing emissions in the facility over time. (Note that some facilities may have slightly different names from year to year.) (d) Compare the information about emissions derived from the timeplot in part (b) and the side-by- side boxplots in (c). What information can be derived from one plot but not from the other? Explain briefly. And I can send the data if it can be solved