Page 131 - Çevre Şehir İklim İngilizce - Sayı 1

Yasemin Şentürk - Kemal Mert Çubukçu

3. The Relationship between the Characteristics of Cool Areas and
Cooling Capacity

The results of the study reveals that off all the variables examined, the
variables displaying the highest correlation with land surface temperature
(LST) seem to be the C_S and C_P concerning urban cool areas. They have
close correlation values with urban cool area size (C_S) ve urban cool area
perimeters (C_P LST). This means that while there is a very strong correlation
between C_S and A_LST (r= -0,792 , p<0,01), Min_LST(r= -0,873 , p<0,01), SD_
LST (r= 0,915, p<0,01), there is a medium intensity correlation in the positive
direction with Max_LST (r= 0,463 , p<0,01). Likewise, while there is a strong
correlation between C_P and A_LST (r= -0,792 , p<0,01), Min_LST(r= -0,873 ,
p<0,01), SD_LST (r= 0,915, p<0,01), there is a medium-intensity correlation in
the positive direction with Max_LST (r= 0,469 , p<0,01). This means that as the
C_S and C_P values increase A_LST and Min_LST decrease, but Max_LST and
SD_LST increase (Table 4).

4. The Relationship between Land Cover and the Cooling Capacity of
Spatial Arrangement
This study investigates the relationship between the cooling capacity of
urban cool area and land cover and spatial arrangement in terms of water
surfaces and normalized difference built-up index.
Normalized Difference Built-Up Index
As the impermeable surface area increases, there is a weak relationship in
the positive direction between normalized difference build up index (NDBI),
whose value got closer to 1, (NDBI) and A_LST(r= 0,374, p<0,01) and Min_
LST(r= 0,352, p<0,05), and a weak relationship in the negative direction with
SD_LST (r= -0,302, p<0,01). As the NDBI value increases, A_LST and Min_LST
increase and SD_LST decreases. Additionally, it was not possible to identify
a statistically meaningful relationship with 95% reliability between NDBI and
Max_LST (Table 4).
Water surfaces
According to the results of the study, there is a quite weak correlation with
the values being the same between the total water surface area referring to
the presence of water (Water_T) (r= -0,125, p<0,01), the total number of water
surfaces (WATER_N), maximum water surface size (Water_M) and average
water surface size (SU_Av) variables, and A_LST. Similar values were measured
in the correlation between Min_LST and Max_LST (Table 4). This situation
could be related to the lack of a sizeable data set regarding water surfaces.

116 Journal of Environment, Urbanization and Climate,