Impact of Building Density on Heat Island Strength
Impact of Nuclear Building Density on the Change of Scale
Building density refers to the proportion of the total area
occupied by the total floor area of all buildings in a certain
area. Previous planning and design are often based on the
plot of building density calculation and the actual division
of the entire land is uniform, thereby disregarding the spatial
location of each point difference. “Nuclear building density”
is the ratio of the total gross area to building land area within
a certain distance from a specific point in space. The law of
spatial autocorrelation suggests the inclusion of a large radius
scale range, additional global trends, and large amount of
adjacent building foundation in the calculation. When the
radius scale range is small, the size of the adjacent building
base included in the calculation is also small and the repre-
sentation becomes substantially localized. In this regard, this
study sets a different radius of the search circle and calculates
and evaluates the density of the nuclear buildings with the
increase of the scale. First, the heat island effect simulation
point in the study area is determined. Second, the sensitivity
index of various spatial scales is calculated and tested using
Equation 1 from a radius of 100, 150, 200, and 250 m to 700
m. Last, the scale sensitivity curve of the building density and
scale is drawn with the calculated results (see Figure 7).
Figure 7. Building coverage ratio of an observation point
with various scales
At a radius of 100 m, the building density gradually
increases (see Figure 7). At a radius of 600 m, the building
Figure 5. GLC2009 and GLC2000 test simulations of the daily variation of the temperature difference of the 2m curve (a,
January; b, July) (difference = GLC2009−GLC2000)
Figure 6. Simulated spatial distribution of monthly average 2 m relative humidity (%) in the GLC2000 and GLC2009 cases
and monthly average 2 m relative humidity differences (differences = GLC2009–GLC2000)
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September 2018
PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING
