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Spatial Regression Modelling Impact of Population Movement Intensity and Land Use to Air Temperature in Semarang City, Indonesia
Author(s) -
W. Widjonarko,
Maryono Maryono
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/887/1/012003
Subject(s) - environmental science , population , intensity (physics) , land use , regression analysis , urban heat island , geography , meteorology , physical geography , environmental engineering , hydrology (agriculture) , statistics , civil engineering , engineering , mathematics , demography , physics , quantum mechanics , sociology , geotechnical engineering
The built-up area and the number of population mobility are used to indicate urban growth. Many research’s found that number of population mobility which use motorized vehicle has contributed in increasing exhaust emissions in the air, and have an impact on air temperature, and so does the built-up area. The built-up area made the ability of the environment to absorb heat decreased. This phenomenon is also occurred in Semarang. Spatial regression modelling is use to describe the contribution of land use and population movement to Land Surface Temperature (LST) in Semarang City. Based on the spatial regression analysis, a spatial model of the effect of population movement and land use to land surface temperature can be formulated as follows, LST = 25.2 + 0.03X1 + 0.065X2 + 0.000093X3 - 0.001340X4 - 0.000091X5 - 0.000702X6. The increasing of of population movement (X1), industrial area (X2) and residential area (X3) will affect to increase the land surface temperature. Meanwhile, vacant land (X4), vegetated land (X5), and water bodies (X6) contribute to lowering air temperature. It means the air temperature in the city of Semarang become hotter in the future if the government doesn’t provide an enough open space as an instrument to reduce the increasing of air temperature.