Geography Reference
In-Depth Information
(a)
(b)
100
90
31.5
31.5
80
70
31
31
60
50
30.5
30.5
40
30
30
30
20
29.5
29.5
10
0
112.5
113
113.5
114
114.5
115
115.5
116
112.5
11
31
13.5
114
114.5
11
5 .5 6
(c)
100
90
31.5
80
70
31
60
50
30.5
40
30
30
20
29.5
10
0
112.5
113
113.5
114
114.5
115
115.5
116
Fig. 6.22
Spatial
distribution
of
precipitation
under
different
scenarios
(mm).
a
Baseline
scenario. b Centralized scenario. c Decentralized scenario
6.3.4 Concluding Remarks on Urbanization and its Climate
Effects in Wuhan Metropolitan
We carried out urban land expansion scenario simulation under different urbani-
zation patterns based on Partitioned and Asynchronous Cellular Automata Model
for Wuhan Metropolitan region. The impact of the underlying surface changes on
regional temperature and precipitation under different urbanization scenarios are
simulated and analyzed by WRF model. Results showed that:
(i)
Under different urban land expansion scenarios, warming effect of urban
land expansion has significant variations. Warming effect under centralized
urbanization pattern is the most significant, far higher than it under
decentralized urbanization scenario. Warming effect under decentralized
urban land expansion scenario is much weaker than the other two sce-
narios. Besides, the spatial distribution of warming effect also has signif-
icant differences. The warming effect of centralized urban land expansion
