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Landslide hazards in Central America and the Caribbean: climate change, early- warning systems and land- use planning José Cepeda DIC MSc PhD NGI / ICG / UiO NorLARnet conference 13 November 2009

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Landslide hazards in Central

America and the Caribbean:

climate change, early-

warning systems and land-

use planning

José Cepeda DIC MSc PhD

NGI / ICG / UiO

NorLARnet conference

13 November 2009

2

Basic definitions

Landslide: the movement of

a mass of rock, debris, or

earth (soil) down a slope

Debris flow: saturated

debris running along an

established channel at

extremely rapid velocities (≥

18 km/h)

Introduction Framework Thresholds Runout Recommendations

Santa Ana volcano, El Salvador

October 2005

3

Basic definitions

Landslide susceptibility:

A quantitative or qualitative ranking

of slopes from stable to unstable.

A choice of quantitative measure:

Factor of Safety (FS).

FS > 1: no landslides

FS < 1: landslides occurSan Salvador volcano,

El Salvador, October 2008

Introduction Framework Thresholds Runout Recommendations

4

Basic definitions

Rainfall threshold for

landslide triggering

Boundary curve or surface

separating triggering and non-

triggering rainfall events.

Duration (h)

Intensity

(mm/h)+

++

+

+ ++

+

+

+

+

+

+

+ ++

+

+

-

-

-

--

-

-

-

- -

-- -- -

-

-

-- -

-

- --- -

-

Introduction Framework Thresholds Runout Recommendations

5

Why are landslides important?

Exposed area: 3.7 million km2

Exposed population: 300 million (5% of world population)

High risk zones:

• 820 000 km2

• 66 million people

Source: global landslide hotspots (Nadim et al., 2006)

Introduction Framework Thresholds Runout Recommendations

6

Impact of landslides in Latin

America

Nadim et al. (2006)

Rank Region Deaths per

million habitants

per year

1 Central America 10.47

2 South America 7.78

3 Central Asia 1.17

Worldwide impact (1980-2000)

Petley et al. (2005)

Introduction Framework Thresholds Runout Recommendations

7

Importance of rainfall-induced

landslides

• Significant in total number

of landslides:

~ 80%

• Numerous transform in

debris flows:

~ 90%

• Debris flows:

• Long runout distances:

several kilometres

• High velocities: > 18 km/h,

but often > 100 km/h

ww

w.u

nic

ae

n.fr

ww

w.u

sg

s.g

ov

Introduction Framework Thresholds Runout Recommendations

8

Main objective

Development of tools for risk management of rainfall-

induced landslides, focusing on implementation in tropical

regions and in developing countries.

Why tropical regions and developing countries?

• Worldwide landslide hotspot regions: 6 of 9 in developing

countries (5 with tropical climates)

• Rainfall data from tropical regions for assessing

thresholds: 4.7%

Introduction Framework Thresholds Runout Recommendations

9

Time-trend analysis

1. Intensity-Duration (ID) for series of

n·ΔT years

2. Time binning of ID into n periods

of ΔT years each: T1, T2, ..., Tt, ...,

Tn

3. For t = 1 to n

a. Create ID plot for Tt period

b. Create N-i+1 bins with a set of

thresholds

c. Assess and plot parameter for k-th bin

4. Perform a time-trend analysis of

parameter in k-th bin

Introduction Framework Thresholds Runout Recommendations

10

Time-trend analyses of

precipitation data

Hourly rainfall data from Pico del Este (Puerto Rico)

during 1973-2006

Probabilities of triggering

landslides: 0.25 to 0.40

Introduction Framework Thresholds Runout Recommendations

11

Correlation with ENSO:

Nicaragua (1958-2005)

-3 -2 -1 0 1 2 310

20

30

40

50

60

Southern Oscillation Index

Numberof days

per yearthat

exceedGEA2008threshold

-3 -2 -1 0 1 2 31.2

1.4

1.6

1.8

2

2.2

Intensityof stormsper yearthat exceed GEA2008 threshold(mm/h)

R2 = 0.35

R2 = 0.001

Introduction Framework Thresholds Runout Recommendations

12

Rain

fall

para

mete

r 1

Rainfall parameter 2 Time

Th0- , Thn

Th0+

Thi

Pre-event Event Post - event

t0+

1

2

3 4

5

t0- ti tn

Δ0 ΔnΔi

Δtst

Rainfall parameter 1: intensity, n-day antecedent rainfall, etc.

Rainfall parameter 2: duration, 24-hour rainfall, etc.

Th: threshold curves

Δ0: reduction in threshold during weakening stage

Δi: increase in threshold at time tiΔn: increase in threshold during healing stage

tn – t0+ : duration of healing stage

Time-variable thresholds

Introduction Framework Thresholds Runout Recommendations

13

Threshold reduction

due to eruptive activity

Threshold reduction

due to eruptive activity

Threshold increases as erosion

and lahars occur

Application: Montserrat

Introduction Framework Thresholds Runout Recommendations

14

Model for local rainfall

thresholds

Generalised function DAI n ][ 2

1

α

lk DAIandDAIl

pl

k

nk

,

,1

,

,122

Using a combination of n-day and p-day

antecedent precipitation

i.e., threshold is exceeded when an event

occurs at or above both surfaces

Introduction Framework Thresholds Runout Recommendations

15

Model for local rainfall thresholds

Metropolitan Area of San Salvador (AMSS), El Salvador

Introduction Framework Thresholds Runout Recommendations

16

Local rainfall thresholds for

AMSS

• Total number of tested models: 210

• Each model was tested using 50 000

combinations of parameters

• Total number of models and parameters

combinations: > 10 million

• Implementation of optimisation of models

and parameters in Matlab

Introduction Framework Thresholds Runout Recommendations

17

Local rainfall thresholds for

AMSS

7-day criterion 150-day criterion

43.01

72322 DAI d

43.01

15028534 DAI dAND

Reduction in false alarms: 51 to 5

Currently in use by

salvadoran authorities

Introduction Framework Thresholds Runout Recommendations

18

Backanalysis of debris flow runout

at San Salvado volcano, El Salvador

• Debris flows in 1934,

1982, 2008

• 1982 event:

• 4 km runout

• ~300 000 m3

• ~400 killed

• Current exposure:

~ 21 500 persons

Introduction Framework Thresholds Runout Recommendations

19

Forward predictions for return period > 92 years

Introduction Framework Thresholds Runout Recommendations

Currently in use for updating of land-use plans

20

To local and national authorities

and decision makers

• Tools have to be updated as more data

becomes available, particularly in regards to

rainfall thresholds.

• Improve the availability and quality of historic

and future landslide data.

Introduction Framework Thresholds Runout Recommendations

21

Further research

• Investigate conceptual framework in the lower

and upper ranges of rainfall durations.

• Test optimisation of rainfall threshold

parameters analysing other types of threshold

models.

• Test the new models and applications with other

datasets.

Introduction Framework Thresholds Runout Recommendations

22

References

Cepeda, J., Høeg, K., and Nadim, F. (in press). "Landslide-triggering

rainfall thresholds: A conceptual framework." Quarterly Journal of

Engineering Geology and Hydrogeology.

Cepeda, J., Díaz, M. R., Nadim, F., Høeg, K., and Elverhøi, A. (in

review). "An empirical threshold model for rainfall-induced

landslides: application to the Metropolitan Area of San Salvador, El

Salvador." Submitted to Landslides.

Cepeda, J., Chávez, A., and Cruz, C. (in review). "Procedure for the

selection of runout model parameters from landslide back analyses:

application to the Metropolitan Area of San Salvador, El Salvador."

Submitted to Landslides.

Cepeda, J., and Devoli, G. (2008). "Rainfall thresholds for landslide

triggering following volcanic ash eruptions and earthquakes."

European Geosciences Union General Assembly 2008, Vienna,

Austria. www.cosis.net/abstracts/EGU2008/03879/EGU2008-A-

03879.pdf

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Thank you for your attention

[email protected]