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INTRODUCTION
Because of the industrialization, people gathered in the urban to find jobs. As time goes by, urbanization, which means population of the urban has been rapidly increased, took place. To build infrastructure caused by increase in urban population, most land on the basis of the urban center was used to construct buildings like company or apartment. Since density of the buildings increased, buildings blocked winds so that cooling, caused by convection, has been decreased. Also the use of energy in the urban was increased, green area was replaced by dark asphalt and concrete, which absorbs heat a lot. As a result, urban heat island effect, which stands for high temperature in the urban(built up areas) than that of rural areas, happened.
The rate of temperature change is very important nowadays since people concern about climate change. Of all, predicting extent of temperature change is not only hard but necessary for climate change action, since urban causes complicated feedback related to endless building infrastructure. Therefore, by using models we would like to check the rate of temperature change according to initial temperature during unit time in the urban heat island effect. Furthermore, we would like to find out the rate of temperature change according to setting different initial conditions, which affect urban heat island effect.
GOAL
By setting initial conditions with two variables, initial temperature and urban land use, we are going to check out how the rate of temperature variation varies with each case during same period.
There are three cases we would like to get results.
We would like to know temperature change extent due to difference in:
1. initial temperature
2. geographical surrounding
3. change in land use type
initial temperature
↙
↘
partly different land use grid
(geographical surrounding)
entirely same land use grid
+ different land use in center
↙
↘
↘
case0
(1) 280K
(2) 290K
(3) 300K
(4) 310K
+ added
different
temperature
case1
(1) 280K
(2) 290K
(3) 300K
case2
(1) 280K
(2) 290K
(3) 300K
case3
(1) 280K
(2) 290K
(3) 300K
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