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Simulation of Global Warming in the Continental United States Using Agent-Based Modeling By Marika Lohmus.

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Presentation on theme: "Simulation of Global Warming in the Continental United States Using Agent-Based Modeling By Marika Lohmus."— Presentation transcript:

1 Simulation of Global Warming in the Continental United States Using Agent-Based Modeling
By Marika Lohmus

2 Figure 1: Negative Feedback
Purpose What is the relationship between population and global warming? More people → more greenhouse gases More greenhouse gases → higher temperatures Higher temperatures → less people Population size Greenhouse gases Temperature Figure 1: Negative Feedback Loop

3 Purpose Cont. With a negative feedback loop, there should be an oscillating representation of the temperature and population size which should level off. When, at what temperature and at what cost?

4 1st Quarter Work NetLogo Got elevation data from previous project
Started Temperature map Took me most of 1st quarter Fig 2: Q1 Temperature Map Fig 3: Elevation Map

5 2nd Quarter Concentration: Temperature System Dynamics Agents Patches
Turtles People Cities

6 Temperature Map

7 System Dynamics

8 Agents Patches Turtles People Cities Elevation Temperature Death-rate
Birth-rate Turtles Act as borders Negative values People Salary 1/10,000 Cities Median Salary Poverty percent Name

9 Patches Change color as elevation or temperature changes
Color determined by change in average global temperature Fig 5: Temperature Increase

10 People Turtle-like agents Human shape
Random number generated for each – birth rate and death rate per 10,000 people per year Another random number generated to determine whether the agent will move or not Looks better – otherwise people stay in one place

11 Assumption Total population of the united states = population of all the largest cities Everyone lives in large cities Everyone has an equal effect on greenhouse gas output Total greenhouse gas emissions determined by population size # Factories increase as population increases

12

13 BehaviorSpace for data
3rd Quarter Finished Coding Designed Interface BehaviorSpace for data

14 Current Results Figure 7: Temperature and Population Data

15 Variables D_R The death rate changes as temperatures and sea levels increase Infection diseases, drowning, heat stroke, etc. By how much? Technology determines D_R D_R Avg. Pop. Avg. Temp. 1 260.52 101 4122.7 259.29 201 4130 259.43

16 Variables (Cont.) Birth Rate
Assuming that brith rate remains constant (.1418) Will it change in the future and by how much? D_R Avg. Temp. Avg. Pop. .2 262.29 .6 281.79 .8 292.46 5903.9


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