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Anthropogenic forcings on shallow landslides triggering Maria Cristina Rulli, Politecnico di Milano [email protected]

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Page 1: Maria Cristina Rulli, - Unicalwebgis.camilab.unical.it/sito_evento_pon/web_SII/relazioni/Rulli.pdf · Maria Cristina Rulli, Politecnico di Milano . cristina.rulli@polimi.it . Factors

Anthropogenic forcings on shallow landslides triggering Maria Cristina Rulli,

Politecnico di Milano

[email protected]

Page 2: Maria Cristina Rulli, - Unicalwebgis.camilab.unical.it/sito_evento_pon/web_SII/relazioni/Rulli.pdf · Maria Cristina Rulli, Politecnico di Milano . cristina.rulli@polimi.it . Factors

Factors which influence or trigger mass movement

Slope

Antrophogenic

and natural

activities

Water

Page 3: Maria Cristina Rulli, - Unicalwebgis.camilab.unical.it/sito_evento_pon/web_SII/relazioni/Rulli.pdf · Maria Cristina Rulli, Politecnico di Milano . cristina.rulli@polimi.it . Factors

0 < z < hi1

hi1 < z < d1

z = d1

d1 < z < d1+hi2

d1+hi2<z<d1+d2

z = d1+d2

[ ]( ) ααγ

φααγsenWzWzcccFs

d

dvA

⋅+⋅⋅⋅+⋅⋅+++

=cos

tancoscos

1

12

11

( )[ ]{ }αααγγ

φααγγγsenWsenhzh

WhzhccFssatidi

wsatidiv

⋅+⋅⋅⋅−+⋅⋅⋅+⋅−⋅−+⋅++

=cos])([

tancoscos)(

1111

12

11111

( )[ ]{ }αααγγγ

φααγγγγsenWsendzhh

WdzhhccFsdsatSdi

dwsatSdiA

⋅+⋅⋅⋅−+⋅+⋅⋅⋅+⋅⋅−+−⋅+⋅++

=cos])([

tancoscos)(

211111

22

2111112

( ) ( )[ ]{ }αααγγγγ

φααγγγγγγsenWsenhdzhhh

WhdzhhhcFssatidisatSdi

wsatidiwsatSdi

⋅+⋅⋅⋅−−+⋅+⋅+⋅⋅⋅+⋅−⋅−−+⋅+−⋅+⋅+

=cos])([

tancoscos)(

221221111

22

2212211112

αφ

tantan brFs =

( )[ ]{ }αααγγ

φφααγγγsenWsenhh

WhhccFssatSdi

wsatSdi

⋅+⋅⋅⋅+⋅⋅⋅+⋅−⋅+⋅+

=cos][

)),tan(min(coscos),min(

1111

212

111121

Precipitation induced landslides at basin scale

The problem is usually solved in term of SF by coupling an hydrological model with a geomechanical model

Rosso R, Rulli M.C. Vannucchi G., WRR 2006

Page 4: Maria Cristina Rulli, - Unicalwebgis.camilab.unical.it/sito_evento_pon/web_SII/relazioni/Rulli.pdf · Maria Cristina Rulli, Politecnico di Milano . cristina.rulli@polimi.it . Factors

Roads effect on shallow landslides triggering

Page 5: Maria Cristina Rulli, - Unicalwebgis.camilab.unical.it/sito_evento_pon/web_SII/relazioni/Rulli.pdf · Maria Cristina Rulli, Politecnico di Milano . cristina.rulli@polimi.it . Factors

Roads Effects

Road surface

and Ditches

Road Cut Culverts

Add new Channel to

stream network

Increase Overland

Flow

Intercept Subsurface Flow

Increase quick discharge

Increase and anticipation of peak discharge

Channel Network Extension ( )

=∆

+=

cutroad

rainquick

quickbase

QQ

Q

QQtQ

Volumetric and Timing Effect (From Wemple, et al.

1996)

With road

Without road

Time

Hydrological Effects:

Page 6: Maria Cristina Rulli, - Unicalwebgis.camilab.unical.it/sito_evento_pon/web_SII/relazioni/Rulli.pdf · Maria Cristina Rulli, Politecnico di Milano . cristina.rulli@polimi.it . Factors

a. Outsloped

b. Insloped

c. Crowned

a b c

Rainfall Effect on the road

roadrrain AIQ ⋅=

Runoff generation on the road and on the ditch

Hp: Impervious Road Surface Small roughness

Negligible vegetation transpiration and interception

Hydraulic Analogy: Road - Channel

Flow Interception by the ROAD

Page 7: Maria Cristina Rulli, - Unicalwebgis.camilab.unical.it/sito_evento_pon/web_SII/relazioni/Rulli.pdf · Maria Cristina Rulli, Politecnico di Milano . cristina.rulli@polimi.it . Factors

Flow Interception by the ROAD

Effect of the road cut

Overland and Subsurface Flow interception

subsurfaceoverlandroadcut QQQ +=

hint

hwt

d

( )

( ) wt

int le subsurface subsurface

wt

wt int Overland-road subsurface

h h d Q

h h d h Q

− ∝

− − ∝

Page 8: Maria Cristina Rulli, - Unicalwebgis.camilab.unical.it/sito_evento_pon/web_SII/relazioni/Rulli.pdf · Maria Cristina Rulli, Politecnico di Milano . cristina.rulli@polimi.it . Factors

Drainage Density

AL

D Sd∑= ( )

ALLLL

D CeRgRcSd∑ +++

=′

river

Ephemeral Channel

LC

e

LRg

LRc

LS

Culvert not connected

Culvert connected to ephemeral channel

Culvert connected to the actual drainage network

Drainage paths Changes

The intercepted discharge by the road is routed downslope trough the culvets

Flow Interception by the ROAD

Page 9: Maria Cristina Rulli, - Unicalwebgis.camilab.unical.it/sito_evento_pon/web_SII/relazioni/Rulli.pdf · Maria Cristina Rulli, Politecnico di Milano . cristina.rulli@polimi.it . Factors

The presence of ROADS can modify

contributing area at

selected point

OUTLET

Road

Road

Page 10: Maria Cristina Rulli, - Unicalwebgis.camilab.unical.it/sito_evento_pon/web_SII/relazioni/Rulli.pdf · Maria Cristina Rulli, Politecnico di Milano . cristina.rulli@polimi.it . Factors

Sovraccarico dovuto al terreno di riporto

Cut slope landslides triggering

Fillslope landslides triggering

Debris flow

Increase of shallow landslides

Road Influence

Geometric Effect

Geo-mechanic Effect

Hydrologic Effect

Increase of slope in

cutslope and fillslope areas

Load due to fillslope

Increase of soil water content in

downslope culvert areas.

Loss of vegetation

Debris flow are not taken in account in the present analysis

Geomechanical Effects:

Page 11: Maria Cristina Rulli, - Unicalwebgis.camilab.unical.it/sito_evento_pon/web_SII/relazioni/Rulli.pdf · Maria Cristina Rulli, Politecnico di Milano . cristina.rulli@polimi.it . Factors

Shallow landslides typology

Hillslope Slides (infinite slope analysis) Cutslope Slides (Stability maps) Fillslope Slides (Stability maps)

Page 12: Maria Cristina Rulli, - Unicalwebgis.camilab.unical.it/sito_evento_pon/web_SII/relazioni/Rulli.pdf · Maria Cristina Rulli, Politecnico di Milano . cristina.rulli@polimi.it . Factors

Hillslope SLIDES Infinite Slope Analysis

0 < z < hi1

hi1 < z < d1

z = d1

d1 < z < d1+hi2

d1+hi2<z<d1+d2

z = d1+d2

[ ]( ) ααγ

φααγsenWzWzcccFs

d

dvA

⋅+⋅⋅⋅+⋅⋅+++

=cos

tancoscos

1

12

11

( )[ ]{ }αααγγ

φααγγγsenWsenhzh

WhzhccFssatidi

wsatidiv

⋅+⋅⋅⋅−+⋅⋅⋅+⋅−⋅−+⋅++

=cos])([

tancoscos)(

1111

12

11111

( )[ ]{ }αααγγγ

φααγγγγsenWsendzhh

WdzhhccFsdsatSdi

dwsatSdiA

⋅+⋅⋅⋅−+⋅+⋅⋅⋅+⋅⋅−+−⋅+⋅++

=cos])([

tancoscos)(

211111

22

2111112

( ) ( )[ ]{ }αααγγγγ

φααγγγγγγsenWsenhdzhhh

WhdzhhhcFssatidisatSdi

wsatidiwsatSdi

⋅+⋅⋅⋅−−+⋅+⋅+⋅⋅⋅+⋅−⋅−−+⋅+−⋅+⋅+

=cos])([

tancoscos)(

221221111

22

2212211112

αφ

tantan brFs =

( )[ ]{ }αααγγ

φφααγγγsenWsenhh

WhhccFssatSdi

wsatSdi

⋅+⋅⋅⋅+⋅⋅⋅+⋅−⋅+⋅+

=cos][

)),tan(min(coscos),min(

1111

212

111121

0

1

2

3

4

5

6

7

8

9

10

0

0.2

0.4

0.6

0.8 1

1.2

1.4

1.6

1.8 2

2.2

2.4

2.6

2.8 3

3.2

3.4

3.6

3.8 4

Profondità z rispetto al piano campagna (m)

Fs

most probable

sliding surfaces

Page 13: Maria Cristina Rulli, - Unicalwebgis.camilab.unical.it/sito_evento_pon/web_SII/relazioni/Rulli.pdf · Maria Cristina Rulli, Politecnico di Milano . cristina.rulli@polimi.it . Factors

Hypothesis: • Circular failure surface • hillslope simple geometry • Soil having friction and cohesion • Soil homogeneous and isotropic

Friction circle method

Mohr-Coulomb: Safety Factor: with and

φστ ′′+′= tanc

d

CFS P

cNF′

=

ctgPe

C ′′

=φλ φ

tWq

WWd

HqHPµµµγγ −+

=Wq

WWe

HqHP'

'µµγγ −+

=

HcNγ

=

Taylor, 1948

Cutslope and Fillslope SLIDES: Stability Charts analysis

Page 14: Maria Cristina Rulli, - Unicalwebgis.camilab.unical.it/sito_evento_pon/web_SII/relazioni/Rulli.pdf · Maria Cristina Rulli, Politecnico di Milano . cristina.rulli@polimi.it . Factors

BASIN PARTITIONING: state of the art The model is a contour-based model. It derives at first the drainage network

starting from the highest contour, then proceeds downslopes follow the steepest lines (Menduni et al., 2000). Two type of topographic elements are considered in

flow accounting and routing:

OUTLET

Cell : polygon having two vertexes on two adjacent contours and two vertexes on two steepest lines. It can be triangular when 2 steepest lines meet.

Channel: mono-dimensional topographic element starting at the junction of 2 steepest lines

The effect of presence of ROAD on basin partitioning

Rulli M.C., Rosso R., 2008

Page 15: Maria Cristina Rulli, - Unicalwebgis.camilab.unical.it/sito_evento_pon/web_SII/relazioni/Rulli.pdf · Maria Cristina Rulli, Politecnico di Milano . cristina.rulli@polimi.it . Factors

Hydrological Fluxes

RFt RFt+1

Rock Rock

Saturated Saturated

Saturated Saturated

Unsaturated

Unsaturated

BIN

ST2

LIN

ST1

INt

BIN

SF2t

EX2t+1

IE2t

SF1t

SE2t+1 EX1t+1

OFt

IE1t SE1t+1

OFt+1

SF1t+1

SF2t+1

Zi1

Zs1

Zi2

Zs2

L1

L2

Simplified Bucket Model with Layers

• Saturated Hydraulic Conductivity: dove • Water Content:

• Flux unsaturated -saturated:

• Subsurface Flow:

• Infiltration:

• Percolation in the cracked Rock: con

fzS eKK −= 0 m

f dryS θθ −=

( ) ( )drySis zzS θθ −⋅−=

( ) SzS sdrySd −⋅−= θθ

( ) SidrySd IzI −⋅−= θθ

dS III −=

d

SS S

IKst =

( ) mS

S

d

eKsf−

⋅⋅= αtan

2

1

di I

SKlin =

tKbin ar ∆⋅= mfar KKbeK +=

Rulli M.C., Rosso R., AWR 2007

Page 16: Maria Cristina Rulli, - Unicalwebgis.camilab.unical.it/sito_evento_pon/web_SII/relazioni/Rulli.pdf · Maria Cristina Rulli, Politecnico di Milano . cristina.rulli@polimi.it . Factors

STUDY AREA Study area is watershed 3 (WS3) at the H. J.

Andrews Experimental Forest, Oregon. Location of roads, culverts, and instrumentation are shown.

• Elevation 470 – 1050 m a.s.l.

• Area 1 km2

• Clay Soil

• Macropores in the soil

• Ks =10-3 ÷ 10-5 m/s

• Mean Annual Precip. 2300 mm

• Mean rainfall Intensity 4 mm/h

• Mean Discharge 5*10-2 m3/s

• In 1959 3 orders of roads were built.

• Rainfall event 3-9 February

1996: max rain 12 mm/h Total rain 340mm • 16 shallow

landslides: 8 hillslope 8 fillslope/cutslope

Rulli M.C., Rosso R., 2008

Page 17: Maria Cristina Rulli, - Unicalwebgis.camilab.unical.it/sito_evento_pon/web_SII/relazioni/Rulli.pdf · Maria Cristina Rulli, Politecnico di Milano . cristina.rulli@polimi.it . Factors

Good Model reproduction

Downslope road: landslides triggering is mainly due to the hydrologic effect.

Upslope road:

landslides triggering is mainly due to the geometric effect.

Page 18: Maria Cristina Rulli, - Unicalwebgis.camilab.unical.it/sito_evento_pon/web_SII/relazioni/Rulli.pdf · Maria Cristina Rulli, Politecnico di Milano . cristina.rulli@polimi.it . Factors

Scenario 1: increase of the number of culverts

Observed slides:

The increase of the number of culverts decrease the slides because decrease the contributing area at any single culvert

Page 19: Maria Cristina Rulli, - Unicalwebgis.camilab.unical.it/sito_evento_pon/web_SII/relazioni/Rulli.pdf · Maria Cristina Rulli, Politecnico di Milano . cristina.rulli@polimi.it . Factors

By increasing the number of roads dramatically increase the number of slides.

Scenario 2: increase of the number of roads

Page 20: Maria Cristina Rulli, - Unicalwebgis.camilab.unical.it/sito_evento_pon/web_SII/relazioni/Rulli.pdf · Maria Cristina Rulli, Politecnico di Milano . cristina.rulli@polimi.it . Factors

Fire Forcing on Hydrological Processes

Increased overland flow, sediment yield and shallow landslides

susceptibility

Vegetation cover destruction & canopy cover

& roots at 10-20 cm of depth

Effects on soil properties k increase in erodibility

k decrease in infiltration capacity k decrease of cohesion

Formation of a water repellent layer ? formation mechanism ? thickness position duration soil type temperature vegetation cover water content

FIRE INDUCED SHALLOW LANDSLIDES TRIGGERING

Rulli M.C.,Bocchiola D., Rosso R., JoH 2006

Page 21: Maria Cristina Rulli, - Unicalwebgis.camilab.unical.it/sito_evento_pon/web_SII/relazioni/Rulli.pdf · Maria Cristina Rulli, Politecnico di Milano . cristina.rulli@polimi.it . Factors

0

100

200

300

400

500

0 1000 2000 3000 4000 5000Time [minutes]

Rai

nfal

l [m

m]

18/07/2005 debris-flow19-20/09/200028-29-30/09/200012-13-14-15/10/200014-15-16/11/2002

THE EVENT OF 18 th OF JULY, 2005

In the period from the beginning of the year 2000 to the day of the forest fire, 47 rainfall events

occurred having or intensity or total greater than the rainfall event

triggering the mass movement of July 2005.

It means that the role of forest fire in triggering mass movement should be

taken in consideration.

Severe rainfall event. About 40 mm of rainfall dropped in less than 30 minutes (TR= 10 years ) on a previously burned soil.

On 16 th March 2005 a severe forest fire occurred in the area of Rio Casella burned more than 70% of the study area.

Mass Movement Triggering (30000 m3)

1.6 km2 catchment (Rio Casella) located

in the Piedmont, Italy

Major Features Geology: granitic gneiss; in the highest area, large zones with exposed granitic formations

Climate: mediterranean Rain: mainly in May and

October (MAP is 1300 mm) Vegetation: Chestnut

Hydrography: ephemeral streams

Topografy: steep slopes, elevation range 1600-250 a.s.l.

The Study Area

Rulli M.C., Rosso R., GRL 2006

Page 22: Maria Cristina Rulli, - Unicalwebgis.camilab.unical.it/sito_evento_pon/web_SII/relazioni/Rulli.pdf · Maria Cristina Rulli, Politecnico di Milano . cristina.rulli@polimi.it . Factors

SBM Parameters

POST-FIRE

TRANSIENT/ 16 MONTHS after the forest fire

PRE-FIRE

Soil depth upslope [m] 1 1.5 2.5 Soil depth downslope [m] 1.5 2 3

Ks upslope [m/s] 0.000001 / 0.00005

0.000001 / 0.00007

0.000001 / 0.00015

Ks downslope [m/s] 0.000001 / 0.00005

0.000001 / 0.00007

0.000001 / 0.00015

Multipling factor for horizontal Ks [-] 1 1 1

Rate of decay in Ks with depth [-] 0.3 0.3 0.3

Satured soil water content θS [-] 0.4 0.4 0.4

Residual soil water content θN [-] 0.1 0.1 0.1

Initial satured store of the bucket [%] 10 - 30 10 - 30 10 - 30

Initial soil water content - upslope [-] 0.1 - 0.2 0.1 - 0.2 0.1 - 0.2

Initial soil water content - downslope [-] 0.1 - 0.2 0.1 - 0.2 0.1 - 0.2

POST-FIRE

TRANSIENT/16 MONTHS

PRE-FIRE

Manning coefficient - Slopes [s m-1/3] 0.04/0.015 0.04/0.025 0.04/0.04

Manning coefficient - Channels - upslope [s m-1/3 ] 0.015 0.025 0.04

Manning coefficient - Channel –downslope[ s m-1/3 ] 0.015 0.025 0.04

Critical Support Area [-] 50000 50000 50000 Channel Width Scaling Factor [-

] 0.26 0.26 0.26 Outlet Flow Width [m] 3.7 3.7 3.7

Time Step for the Kinematic Wave [s]

60

60

60

Field Data Vegetation Survay (Pre; Post and Transient)

Soil depth measuremts

WDPT test

Soil type

Pedology

Geology

Hydraulic conductivity measurements (Pre; Post and Transient)

Modeling and predicting hydrological and sedimentological

response of burned areas

To investigate the influence of changes in

land cover and soil characteristics, from

pre- to post-fire conditions, on runoff production and shallow landslides triggering, during a rainstorm

Deterministic model

To provide a deterministic framework for studying

shallow landslides

susceptibility in the

different temporal scenarios

Simulation Runs Historical

Rainfall Records

POST-

FIRE

POST-FIRE/ 16

MONTH PRE-FIRE

Friction Angle [°] 42 42 42 Saturated Soil Spec. Weight

[KN/m³] 21.5 21.5 21.5 Cohesion [KPa] 0 4 10

Apparent Cohesion [Kpa] 0 0 0

Page 23: Maria Cristina Rulli, - Unicalwebgis.camilab.unical.it/sito_evento_pon/web_SII/relazioni/Rulli.pdf · Maria Cristina Rulli, Politecnico di Milano . cristina.rulli@polimi.it . Factors

Temporal Scenarios

- pre-fire: the period of time before the forest fire occurred

- post-fire: the period from the time when the fire estinguished to the end of the spring in the subsequent year

- transient: the period of time required for the restoration of the soil, following fire induced disturbance

POST FIRE

TRANSIENT

PRE FIRE POST FIRE

Rulli M.C., Rosso R., AWR 2007

Page 24: Maria Cristina Rulli, - Unicalwebgis.camilab.unical.it/sito_evento_pon/web_SII/relazioni/Rulli.pdf · Maria Cristina Rulli, Politecnico di Milano . cristina.rulli@polimi.it . Factors

Conclusions: Anthropogenic and natural activities like roads and forest fires can strongly influence the hydrologic response and shallow landslides susceptibility of upland catchments!

For studying anthropogenic and natural activities influence on shallow landslides triggering it is necessary correctly evaluate the effects of these activities on the hydrological fluxes (generation and direction).

For studying anthropogenic and natural activities influence on shallow landslides triggering it is necessary correctly select the gomechanical model!

THANK YOU!

Page 25: Maria Cristina Rulli, - Unicalwebgis.camilab.unical.it/sito_evento_pon/web_SII/relazioni/Rulli.pdf · Maria Cristina Rulli, Politecnico di Milano . cristina.rulli@polimi.it . Factors

( )[ ]( )[ ] θ

φωω

tan'tan

11

⋅−⋅⋅+⋅+⋅+⋅−⋅+

=rrs

rrsSeSeGSeSeGFS

−−>

−−≤

−−

=;*1lnif,1

;*1lnif,1exp1*

1

11

ppA

ppA

App

ξ

ξξω

aTbp θsin* =

( )rSe

eA −⋅+

= 111

ω = h/z ξ = (p*/z)t

Page 26: Maria Cristina Rulli, - Unicalwebgis.camilab.unical.it/sito_evento_pon/web_SII/relazioni/Rulli.pdf · Maria Cristina Rulli, Politecnico di Milano . cristina.rulli@polimi.it . Factors

Precipitation threshold for slope instability Coupling hillslope hydrology with geomechanics yields landslide triggering by precipitation

( )( )

−+

−−

−+

−−

−⋅−⋅−+

−⋅⋅+

=

taz

TbeSee

taz

TbeSee

zh

See

SeG

abT

tp

r

r

i

r

rs

CRθ

θ

φθ

φθ

θ

sin1exp1

sin1exp

'tantan111

'tantan1)(

sin

Temporal scale of hillslope evolution The rainfall rate pF that can be exceeded with a probability of (1 – F) in a year ( ) )1(

1n

FF txmtp −−=

pCR = pCR(t) ( ))1(

1sin1exp1

sin1exp

'tantan111

'tantan1)(

sin

nF

r

r

i

r

rs

txmt

azTb

eSee

taz

TbeSee

zh

See

SeG

abT

−−=

−+

−−

−+

−−

−⋅−⋅−+

−⋅⋅+

θ

θ

φθ

φθ

θ

Page 27: Maria Cristina Rulli, - Unicalwebgis.camilab.unical.it/sito_evento_pon/web_SII/relazioni/Rulli.pdf · Maria Cristina Rulli, Politecnico di Milano . cristina.rulli@polimi.it . Factors

10

100

0.1 1 10 100

t [d]

pC

R a

nd p

F [m

m/d

]

a/b = 200 m

TR = 500 yeaTR = 70 yearsTR = 15 years

a/b = 50 m

a/b = 100 m

a/b = 200 m

10

100

0.1 1 10 100

t [d]

pC

R a

nd p

F [m

m/d

]

a/b = 200 m

10

100

0.1 1 10 100

t [d]

pC

R a

nd p

F [m

m/d

]

a/b = 200 m

TR = 500 yeaTR = 70 yearsTR = 15 years

a/b = 50 m

a/b = 100 m

a/b = 200 m

Maps of Mettman Ridge catchment showing shallow landsliding prone areas in term of return period of potential failure considering initial condition of stable piezometric at the depth of bedrock, h(0) = 0 and h(0) = 0.15, φ’ = 45°, T = 65 m2/d, ρs = 1600 kg/m3 and Gs = 2.60 .