heat island and urban climate - 東大生研 加藤(信)研究室...
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加藤研究室・大岡研究室・菊本研究室Kato Lab., Ooka Lab., and Kikumoto Lab.
Heat Island and Urban Climate
1/8
加藤研究室・大岡研究室・菊本研究室Kato Lab., Ooka Lab., and Kikumoto Lab.
The Concept of Urban Climate
2/8
(マイクロスケールα)
不安定領域
(都市循環流)
地衡風
ヒートアイランドによる上昇流
郊外 池・緑地
海
郊外 都心
高さ
[m
]
0
200
300
100
山
1km
10km(メソスケールγ)
100km(メソスケールβ)
日射
⑤(放射熱伝達(短波・長波))
大気放射
水蒸気 水蒸気
人工排熱 汚染物質
④(汚染物質輸送方程式)
①(運動量輸送方程式)
②(顕熱輸送方程式)
⑥(地中への熱伝導方程式) ⑦(地表面での放射・顕熱輸送・潜熱輸送などの熱収支式)
③(水蒸気輸送方程式)
クールアイランド
⑤(Radiant heat transfer (short wave / long wave)) ① (Momentum transport equations)
Upward flow by heat island
② (sensible heat transport equations)
Geothermal wind
Mountain
④ Pollutant transport equation
Cool island
Water vapor
PollutantArtificial
waste heat
Unstable region
(Urban circulation flow)③ (Water vapor transport equation)
Water vapor
Sea
atmospheric radiation
solar radiation
suburb City
center
Suburb
Pond/Green space
⑥ (Heat conduction equation to the ground) ⑦ (Heat balance equation such as radiation, sensible heat transport, latent heat transport on the ground surface)
(Microscale α)
(mesoscale γ)
(mesoscale β)
加藤研究室・大岡研究室・菊本研究室Kato Lab., Ooka Lab., and Kikumoto Lab.
Urban climate analysis using MM5
3/8
MM 5 (The Fifth-Generation NCAR / Penn State
Mesoscale Model)
Community model provided by NCAR (National Center
for Atmospheric Research). In the early 1970s, various
improvements were added based on the mesoscale
model developed by Anthes. Features of MM5 are as
follows.
(I) Introduction of non-hydrostatic pressure model
(Ii) Various physical options (cloud physics, rainfall,
turbulence model, etc.)
(Iii) Multi-stage nesting · 2-way nesting possible
(Iv) Create initial field from observation data etc.
(V) 4 dimensional assimilation possible
(Vi) Available on various platforms
Analysis region
Mesh split
X×Y
Horizontal mesh
width [km]
Domain1 50×60 9
Domain2 78×87 3
Domain3 99×120 1
Mesh split
加藤研究室・大岡研究室・菊本研究室Kato Lab., Ooka Lab., and Kikumoto Lab.
Comparison between static model and
non-hydrostatic model
4/8
HY model NH model
Air temperature (2 m above the ground) · Wind velocity vector
(10 m above the ground) Horizontal distribution
(Domain 3, August 5, 2005 12:00)
Velocity / Wind Velocity Vector Vertical Distribution
(Domain 1, August 5, 2005, 12:00)
Velocity / Wind Velocity Vector Vertical Distribution
(Domain 3, August 5, 2005 12:00)
Analysis date: August 4, 2005 9: 00 ~ 6 0:00
Analysis model: MM5 ver.2.12
Turbulence model: MRF PBL scheme
Radiation model: Radiation scheme by Dudhia
Initial condition: initial field created from NCEP final
analysis data
Dynamical model: Static dynamics model (Hydrostatic;
HY) and Non-hydrostatic model (NH)
HY model NH model
HY model NH model
加藤研究室・大岡研究室・菊本研究室Kato Lab., Ooka Lab., and Kikumoto Lab.
Improvement of MM5
Method of setting ground surface parameters and artificial exhaust heat
5/8
27
28
29
30
31
32
33
34
35
36
0 4 8 12 16 20 24
時刻
気温[℃
]
24
26
28
30
32
34
36
0 4 8 12 16 20 24
時刻
気温[℃
]
Analysis Case:
Case 1: ground surface parameter setting of the MM 5
standard, No artifical waste heat (base)
Case 2: Use land use data of national land numerical
information, No artificial exhaust heat (lu)
Case 3: ground surface parameter setting of the MM 5
standard, Integrated artificial waste heat (ah)
Case 4: Use land use data of national land numerical
information, Incorporate artificial exhaust heat (lu + ah)
Air temperature (2 m above the ground) · Wind velocity vector (10 m above the ground) Horizontal distribution
(Domain 3, 12: 00 August 6, 2005)
Case1 (base) Case2 (lu) Case3 (ah) Case1 (lu + ah)
Comparison with AMeDAS observations
(Domain 3, August 5, 2005)
Otemachi Saitama
Tem
pera
ture
Time Time
Tem
pera
ture
加藤研究室・大岡研究室・菊本研究室Kato Lab., Ooka Lab., and Kikumoto Lab.
Urban climate analysis model incorporating city canopy model
6/8
A mesoscale model using roughness length (case z 0)
Modeling nearby buildings, trees, etc. by roughness length
value
Since it is a model focusing on the flow of the upper layer of
the city canopy height, it is impossible to reduce the lattice
division in the vertical direction
Urban canopy model as surface boundary condition
Incorporated mesoscale model (case UC)
Evaluate the thermal environment of the height at which
humans are active
Wind velocity
短波↓ 短波↑ 長波↑ 長波↓ 潜熱 顕熱
伝導
(1)建物群による風速低減 (2)建物群による乱れの増大
(3)建物群による 短波放射の伝達効果
(4)建物群による 長波放射の伝達効果
(9)植生群による地表面 日射吸収量の減少
(5)建物表面からの 顕熱、潜熱放散
(6)植生群による風速低減 (7)植生群による乱れの増大 (8)植生群による放射の吸収
Wind velocity (1) Reduction of wind speed by building
(2) Increase of turbulence by building
(6) Reduction of wind speed by vegetation
(7) Increase of turbulence by vegetation
(8) Absorption of radiation by vegetation
(3) Transmission effect of short
wave radiation due to buildings
(4) Transmission effect of long wave
radiation due to buildings
(5) Sensible and latent heat from the
surface of the building
(9) Decrease of solar
radiation absorption on
ground surface due to
vegetation
Short wave ⇅ Long wave ⇅ Sensible and Latent ↑
加藤研究室・大岡研究室・菊本研究室Kato Lab., Ooka Lab., and Kikumoto Lab.
MM 5 analysis result incorporating urban canopy model
7/8
Air temp. / wind speed vector horizontal
distribution (12: 00 August 5, 2005)
a) case z0 a) case z0
Surface temperature distribution
(12: 00 August 5, 2005)
b) case UC b) case UC
0
500
1000
1500
2000
2500
3000
0 5 10
0
50
100
150
200
250
300
0 2 4
平均建物高さ
高さ
[m]
高さ
[m]
0
500
1000
1500
2000
2500
3000
300 304 308 312 316
0
50
100
150
200
250
300
304 306 308 310
高さ
[m]
高さ
[m]
平均建物高さ
0
50
100
150
200
250
300
304 309
case z0 case UC
Wind speed profile [m / sec]
(12: 00 August 5, 2005, Otemachi)
Temperature profile [K]
(12: 00 August 5, 2005, Otemachi)
He
igh
t
He
igh
t
He
igh
t
He
igh
t
Average building height
Average building height
加藤研究室・大岡研究室・菊本研究室Kato Lab., Ooka Lab., and Kikumoto Lab.
MM 5 incorporating urban canopy model
Comparison with AMeDAS observations
8/8
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0 4 8 12 16 20 24
case z0 case UC observation
-3
-2
-1
0
1
2
3
0 4 8 12 16 20 24
case z0 case UC
Temperature diurnal change
(August 5, 2005)
Temperature analysis error
(August 5, 2005)
22
24
26
28
30
32
34
36
38
0 4 8 12 16 20 24
[℃]
22
24
26
28
30
32
34
36
38
0 4 8 12 16 20 24
[℃]
-5
-4
-3
-2
-1
0
1
2
3
0 4 8 12 16 20 24
[℃]
-1
-0.5
0
0.5
1
1.5
2
0 4 8 12 16 20 24
[℃]
Comparison of ME and RMSEME RMSE
case z0 case UC case z0 case UC
Otemachi 0.034 0.309 0.557 0.653
Oume 0.165 -0.003 1.025 1.273
Nerima -0.167 -0.536 0.957 1.030
Hachioji 0.227 0.098 1.027 1.092
Fuchyu 0.220 -0.047 0.946 1.051
Shinkiba -0.223 -0.219 1.898 1.709
Haneda 0.136 0.160 1.192 1.024
Kuki 0.143 -0.309 1.632 1.675
Hatoyama 0.732 0.234 1.747 1.700
Saitama 0.111 -0.681 1.412 1.631
Koshigaya 0.194 -0.048 1.708 1.774
Tokorozawa -0.144 -0.270 1.472 1.159
Abiko 0.449 0.140 1.622 1.689
Funabashi 1.057 0.857 1.653 1.605
Sakura 0.919 0.687 2.039 1.993
Chiba -0.915 -0.441 2.467 1.931
Mohara 0.451 0.394 1.603 1.705
Kisarazu 0.360 0.542 1.541 1.643
Ushiku 0.727 0.314 2.357 2.364
Narita 2.102 1.487 2.442 2.123
Ebina 0.270 0.154 1.328 1.556
Yokohama -0.112 0.043 1.243 1.300
Tujido 0.922 0.830 1.275 1.177
Odawara 1.224 1.398 1.661 1.966
Tateno 1.781 1.216 2.269 2.074
Ryugasaki 0.942 0.545 2.063 1.923
Average 0.446 0.264 1.655 1.622
b)Tokorozawa
a) Otemachi
b)Tokorozawa
a) Otemachi