Ocean acidification involves a change in seawater pH primarily caused by increased atmospheric carbon dioxide dissolving into ocean water. One way to predict how rising carbon dioxide levels in the air will affect ocean acidity is to make a computational model.

Question

Which information is needed to develop a computational model and which would be results? Move the information for the model into the boxes. Not all information may be used.

Response area with 2 blank spaces
Data Results
Blank space 1 empty
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Blank space 2 empty
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Answer options with 7 options.

Answer 1

To accurately develop a computational model for predicting ocean acidification due to rising atmospheric carbon dioxide, you'll need to differentiate between the input data required for the model and the expected results.

Data:

1. Current atmospheric carbon dioxide levels
2. Historical data on ocean pH levels
3. Ocean temperature data
4. Ocean salinity data
5. Data on biological processes affecting carbon cycling (like photosynthesis, respiration)

Results:

1. Projected future pH levels of ocean water
2. Impacts on marine life (e.g., coral bleaching, shellfish growth)
3. Changes in carbonate ion concentrations

Based on this logic, you would fill in the response area as follows:

Response area with 2 blank spaces Data Results Blank space 1: Current atmospheric carbon dioxide levels Blank space 2: Projected future pH levels of ocean water

Feel free to ask more questions if you need further assistance!