スライド 1

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Transcript スライド 1

REALTIME FORECASTING OF SHALLOW
LANDSLIDES USING RADAR-DERIVED RAINFALL
By
Ryohei Misumi, Masayuki Maki, Koyuru Iwanami,
Ken-ichi Maruyama and Sang-Goon Park
National Research Institute for Earth Science and Disaster Prevention, Japan
Shallow landslide at Izumozaki-town, Niigata
Prefecture on 13 July 2004
Outline
Rainfall estimation
in high accuracy
and resolution
X-band
polarimetric radar
Distributed rainfallrunoff model
Real-time forecast
of landslides
Soil water
What is shallow
landslide ?
Normal situation
Shear resistance
Soil layer
Sliding force
Slip surface
Weight
Bed rock
Water
Soil
particles
During heavy
rainfall
Increase of pore pressure
Rain
Saturated Zone
Soil layer
Decrease of normal stress
Bed rock
Estimation of rainfall intensity using the
specific differential phase (KDP)
 not affected by rain attenuation
 immune to beam blockage
 less sensitive to beam filling and drop size distribution
Z
+
KDP
+
R-KDP
R-Z
+
R-Z
(corrected)
Disdrometer
Distributed rainfall-runoff model
50m grid
Catchment
Rainfall
Evaporation
Infiltration
Direct runoff
50m grids
Water
storage
Base flow
S
Maximum
storage
capacity
Smax
Infinite slope stability analysis
γw h tan  '
c'
F
 [1  (
)( )]
γz sin  cos 
γ z tan 
F: Factor of safety
γ, c', Φ': Soil properties
γw: Density of water
h: Level of groundwater
z: Depth of soil
β: Inclination of slope
h
S

z S max
Real-time evaluation
Tsurumi river
basin
80km
MP-X
radar
Meso-β scale depression on 9 July 2005
22:59
Water storage
Rainfall rate
Predicted landslides
Meso-β scale depression on 9 July 2005
23:29
Water storage
Rainfall rate
Predicted landslides
Meso-β scale depression on 9 July 2005
23:53
Water storage
Rainfall rate
Predicted landslides
Landslide on 9 July 2005
Actual landslide
Predicted grid
3 km
Evaluation with past events
Upper Abukuma River basin (151.07km2)
Rainfall event in August 1998
02JST on 27 August
Slope failure
Predicted grids
Distance (km)
(2 hours before severe landslides)
Welfare facility
0
1
2
3
4
Distance (km)
5
Predicted factor of safety (F) and
occurrence of landslides
Factor of
safety
Occur
Not occur
F<1
205 grids
1809 grids
F>1
56 grids
5318 grids
Correct forecasts: 74.8 %
False alarm ratio: 89.8 %
Conclusions
 An accurate forecast of shallow landslides is still
difficult.
 Increase of landslide potential in a few-km scale
may be predictable using rainfall observation with the
X-band polarimetric radar (lead time is about 2 hours).
 The lead time would be greatly extended if a
reliable QPF is available.