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Published byJunior Cross Modified over 9 years ago
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Simulation of Global Warming in the Continental United States Using Agent-Based Modeling By Marika Lohmus
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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
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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?
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1 st Quarter Work NetLogo Got elevation data from previous project Started Temperature map Took me most of 1 st quarter Fig 2: Q1 Temperature Map Fig 3: Elevation Map
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2 nd Quarter Concentration: Temperature System Dynamics Agents Patches Turtles People Cities
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Temperature Map
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System Dynamics
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Agents Patches Elevation Temperature Death-rate Birth-rate Turtles Act as borders Negative values People Salary 1/10,000 Cities Median Salary Poverty percent Name
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Patches Change color as elevation or temperature changes Color determined by change in average global temperature Fig 5: Temperature Increase
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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
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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
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3 rd Quarter Projections People: Will be able to move according to salary What temperature is unreasonable? Will birth-rates change? Patches: More reasonable elevation changes
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Current Results Fig 7: Temperature DataFig 8: Population Data Equilibrium between temperature and population?
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