Geography Reference
In-Depth Information
(a)
(b)
0.28
0.98
0.975
0.27
0.97
0.26
0.965
0.96
0.25
0.955
0.24
0.95
0.945
0.23
0.94
0.22
0.935
0.21
0.93
0
2
4
6
8
10
12
0
2
4
6
8
10
12
Month
Month
Land 2010 in REG
Land 2010 in CES
Land 2050 in REG
Land 2050 in CES
Land 2010 in REG
Land 2010 in CES
Land 2050 in REG
Land 2050 in CES
(c)
(d)
450
280
260
400
240
350
220
300
200
180
250
160
200
140
150
120
0
2
4
6
8
10
12
0
2
4
6
8
10
12
Mo
nth
Mo
nth
Land 2010 in REG
Land 2010 in CES
Land 2050 in REG
Land 2050 in CES
Land 2010 in REG
Land 2010 in CES
Land 2050 in REG
Land 2050 in CES
Fig. 6.11 Influence of the future land use change on the key biogeophysical parameters in
Southern-Jiangsu. a and b Show the influence of the future land use change on albedo and surface
emissivity; c and d show the influence of the future land use change on downward long-wave
radiation and downward shortwave radiation (W/m
2
)
Rn ¼ H
þ
LE
þ
G
ð
6
:
3
Þ
where Rn is land surface net radiation, H is sensible heat flux, LE is latent heat
flux, and Gis soil heat flux.
Since there is generally very limited heat flux into the soil layer, land surface
net radiation is mainly influenced by sensible heat flux and latent heat flux, while
the underlying surface can directly influence latent heat flux and consequently
influence near-surface temperature (Fig.
6.13
).
In order to further analyze the impacts of the variation in latent heat flux on the
spatial pattern of temperature, we investigate the spatial pattern of latent heat flux
under different scenarios (Fig.
6. 14
). It can be seen that there is no significant
difference in the spatial pattern of latent heat flux in Southern Jiangsu province
under different scenarios. However, the variation range of latent heat flux in 2050
is smaller under REG scenario than under the other scenarios.
