Min-Ju Ju Heo*β , D. K. Lee*, B. Y. Lee**, C. Y. Park*, June Lee***
*Seoul National University, **Daegu Catholic University, ***University of Pittsburgh
- 2018. 08. 07
Min-Ju Ju Heo *, D. K. Lee*, B. Y. Lee**, C. Y. Park*, June Lee*** - - PowerPoint PPT Presentation
Min-Ju Ju Heo *, D. K. Lee*, B. Y. Lee**, C. Y. Park*, June Lee*** *Seoul National University, **Daegu Catholic University, ***University of Pittsburgh 2018. 08. 07 01 I Intr troducti tion 02 Ma Mate terial al & Me Meth thod -
Min-Ju Ju Heo*β , D. K. Lee*, B. Y. Lee**, C. Y. Park*, June Lee***
*Seoul National University, **Daegu Catholic University, ***University of Pittsburgh
01 I Intr troducti tion 02 Ma Mate terial al & Me Meth thod
03 03 Results ts & & D Discussion
04 C Conclusion
trod
tion
(Du et al., 2016) (Syafii et al., 2017) (OβMalley et al,, 2015)
Si Simulat atio ion Sa Satellit ite e image Field measur urem emen ent
Variou
s method
trod
tion
Water
Evaporation Latent Heat Sensible Heat
sm of
g effect in in the w water
Evaporation Model Equation Reference Mass transfer
πΉ = (0.4 + 0.199π)(ππ₯ππ’ππ β ππππ ) (Rohwer, 1931)Energy budget
πΉ = 1.26 π‘ π‘ + πΏ (ππ β π») (Prestley & Taylor, 1972)Combination
πΉ = π‘ π‘ + πΏ ππ β π» π Γ 86.4 + πΏ π‘ + πΏ (0.26(0.5 + 0.54π)(ππ₯ππ’ππ β ππππ ))(Penman, 1948)
s: slope of saturated vapor pressure-temperature curve at air temperatureIn urban an microclimat ate,
βPrecise Evaporation Data' βmm/dayβ
trod
tion
ateri rial al & & Meth thod
Flow
Regression an anal alys ysis
Daltonβs Model Evaporation Model for an hour
Calibration
Field Experiment
Air Temperate Relative Humidity Wind Speed
meteorological data
Net Radiation Water Temp Evaporation
Estimat atio ion of Lat atent Heat at Eva valuat ation of Cooling Effect
Bulk Aerodynamic Formula
ateri rial al & & Meth thod
Field E Exp xperiment
ateri rial al & & Meth thod
Field E Exp xperiment
ateri rial al & & Meth thod
πΉ = (π + ππ)(ππ₯ππ’ππ β ππππ ) (1)
Daltonβs s model
gress ssion
sis
ateri rial al & & Meth thod
π π = ππ₯ππ’ππ Ξ»πΉππππ
β
β
1 3600 βππ£π π‘πππππ β 1 1000 ππ π
(2)
Latent t Heat Flux
ππΉ = π ππ΅ β 3600
π‘πππππ βππ£π
(3)
Latent t Heat Energy gy
stimation
Latent He Heat
ππ
ateri rial al & & Meth thod
Cooling Effect
(Du et al., 2016);
π¦π =
ππΉ ππππ
(5)
ππ ππ
β
ππ = πππ΅β
(4)
Coo
g Effect
sult lts s an and Dis iscuss ssio ion
served D Data
Max : 0.258 mm at 6 PM on Oct. 29 Most evaporation from 3PM to 7PM
sult of the v verification for ππ€ππππ ππ’πππ πππππ
πΉβ=(0.01127+0.00432W)(ewaterβeair)
(4)
Resu sult lts s an and Dis iscuss ssio ion
g effect
Mean 54.63 W/γ‘ Max 131.71 W/γ‘ Min 24.68 W/γ‘
Resu sult lts s an and Dis iscuss ssio ion
g effect
Resu sult lts s an and Dis iscuss ssio ion
Max Mean Min 100m 5.88 2.41 1.1 200m 1.7 0.7 0.32 300m 0.79 0.33 0.15 400m 0.46 0.19 0.09 500m 0.3 0.12 0.06 740m 0.14 0.06 0.03 (Unit: β)
valuat ation of cooling effect o t of wat ater body t through precise eva vaporat ation meas asurement
all effect a t around 9 AM / l lar arge e effect ar t around 3 PM
The cooling effect in t in th this site te i is 0 0.7 d degrees i in av averag age (Assuming th the r ran ange o
Co Conclu lusi sion
ater c circulat ation betw tween th the p pond an and p pan an
ack of an anal alys ysis of a a ran ange of th the cooling effect
ation
torag age heat at
ation to to va various site tes
Co Conclu lusi sion
Future rese search
Funding: This work is supported by the Korea Agency for Infrastructure Technology Advancement (KAIA) [grant number 18AUDP-B102560-04]
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