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NARRATOR:
A sudden landslide.
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00:00:04,205 --> 00:00:06,105
Nobody anticipated
that it would cut loose
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00:00:06,107 --> 00:00:07,306
and bury that entire village.
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00:00:07,308 --> 00:00:09,308
NARRATOR:
Some victims are buried alive.
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00:00:09,310 --> 00:00:12,177
Others narrowly escape.
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00:00:12,179 --> 00:00:14,546
ROBIN YOUNGBLOOD:
I saw a gigantic wall of mud,
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00:00:14,548 --> 00:00:16,582
and then we were hit.
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Houses were exploding.
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00:00:17,752 --> 00:00:18,884
911 CALLER:
Oh my gosh!
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00:00:18,886 --> 00:00:20,652
911 OPERATOR:
Are there any injuries?
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00:00:20,654 --> 00:00:22,154
911 CALLER:
Yes, there are people
yelling for help!
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00:00:22,156 --> 00:00:24,723
NARRATOR:
A whole community is cut off.
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What's going on
with the highway?
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00:00:26,660 --> 00:00:28,527
I'm hearing rumors
that there's a mudslide.
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NARRATOR:
A neighborhood, wiped
from the face of the earth,
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00:00:30,231 --> 00:00:32,364
is invisible to rescuers.
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00:00:32,366 --> 00:00:34,266
BILL QUISTORF:
All I could see was
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00:00:34,268 --> 00:00:35,267
just a vast wasteland.
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There were no homes.
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There were no remnants of homes.
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NARRATOR:
Volunteers risk their lives
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to extract the missing
from the mud.
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DAYN BRUNNER:
It was so eerie.
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00:00:44,311 --> 00:00:45,978
We could hear moaning.
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We walked past four bodies.
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YOUNGBLOOD:
He was just drenched
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and shivering and shaking.
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00:00:52,086 --> 00:00:54,119
NARRATOR:
What could have triggered
the tragedy?
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ERNIE ZELLERS:
Where's the baby?
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I thought I was losing him,
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and I'd say,
"Stay with me, Bud!"
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NARRATOR:
Can science explain
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how earth can turn to liquid
in an instant?
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00:01:02,963 --> 00:01:04,730
Everybody feeling ready
for go time here?
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GEOLOGIST:
Okay, we're ready for water.
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Here it goes!
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DAVID MONTGOMERY:
Something like 22 inches
of rainfall.
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You know, that's almost
two feet of rain in a month.
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NARRATOR:
Some of these disasters
are triggered by rain,
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00:01:15,076 --> 00:01:16,909
but not all.
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Around the world,
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scientists fear that landslides
could be on the rise.
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Now, geologists are hoping
to spot the next big one
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before it strikes,
to warn those in its path
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and avert further loss of life.
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There's no word for it
other than "tragedy."
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NARRATOR:
How far out can we predict
landslides?
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The closer you get to an event,
the easier it gets to predict.
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It will be a very big one!
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A huge one!
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NARRATOR:
The race is on
to sound the alarm
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and save lives
from "Killer Landslides,"
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right now on NOVA.
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00:02:12,099 --> 00:02:15,267
Major funding for NOVA
is provided by the following:
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We're committed to strong.ng.
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00:02:25,946 --> 00:02:28,580
And the Corporation
for Public Broadcasting
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and by PBS viewers like you.
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00:02:31,085 --> 00:02:33,752
Additional funding for "Killer
Landslides" is provided by:
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00:02:35,256 --> 00:02:38,390
Furthering the values that
contribute to a healthy planet.
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Millicent Bell, through:
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And:
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NARRATOR:
Late March.
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Record-breaking rains
have hit western Washington.
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10:30 a.m.
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Families are enjoying the first
sunny weekend of spring.
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It's been raining for months.
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In an instant, this idyllic
morning becomes a nightmare.
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The saturated earth on a slope
nearby starts to slip.
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(rumbling)
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A landslide comes plummeting
across the valley
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towards the unsuspecting
families.
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(rumbling and crashing)
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AMANDA SKORJANC:
The sound is like this horrible,
rumbling, wet....
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(rumbling)
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I turned and I held Duke,
and I did not let him go.
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NARRATOR:
Sitting at her table
with a friend,
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Reverend Robin Youngblood
has no time to escape.
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We heard this horrible sound.
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It sounded like a 747 was going
to crash in the valley.
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NARRATOR:
Half a mile away
from Robin's home,
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Amanda Skorjanc
is in the kitchen
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with her five-month-old baby,
Duke.
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SKORJANC:
The sound is unexplainable,
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00:04:04,712 --> 00:04:07,546
and I will never get it
out of my head.
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YOUNGBLOOD:
We ran to the window
when we heard that sound,
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00:04:11,285 --> 00:04:13,885
and I looked to my right
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00:04:13,887 --> 00:04:16,922
and I saw a gigantic
wall of mud,
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00:04:16,924 --> 00:04:18,156
and then we were hit.
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00:04:18,158 --> 00:04:20,892
SKORJANC:
And it was like a movie.
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00:04:20,894 --> 00:04:25,464
Houses were exploding,
and the next thing I remember is
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our neighbor's chimney
coming into our front door.
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RICHARD IVERSON:
Everything that was in its path,
essentially, it picked up
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00:04:31,672 --> 00:04:34,906
and was throwing in front of it:
trees, debris from houses.
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It would be like being hit
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with 1,000 battering rams
at once.
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It was just a completely
unsurvivable sort of event.
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YOUNGBLOOD:
We were slammed,
and we were underwater in mud.
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The house was racing
across the valley.
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And then we stopped.
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NARRATOR:
Without warning, this hillside
turned to liquid mud,
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wiping out 49 homes.
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The hillside collapsed,
but it didn't stop there.
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It dammed the river
and continued on
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00:05:04,838 --> 00:05:07,639
to rampage
through a neighborhood,
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reached highway 530,
and kept going.
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All is now a wasteland
of mud and debris,
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one square mile buried
under 15 to 75 feet of mud.
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911 OPERATOR:
911, what is your emergency?
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FEMALE CALLER:
There's, like, a mudslide,
and everything is gone!
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The houses are gone!
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There is a house on 530,
and it is covering the road!
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00:05:30,297 --> 00:05:32,297
I was standing here,
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00:05:32,299 --> 00:05:34,733
and I heard this noise
and I looked out,
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it sounded like a big truck,
and then my lights went out.
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MALE CALLER:
My neighbor's house
has been completely taken out
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00:05:40,541 --> 00:05:43,075
and it's collapsed
on several of them,
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and they're trapped.
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00:05:44,278 --> 00:05:45,711
FEMALE CALLER:
Oh my gosh!
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00:05:45,713 --> 00:05:48,347
So I walked out the front door,
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00:05:48,349 --> 00:05:51,883
and then I looked up the road
and then I knew what it was.
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I could see the stuff
in the road
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00:05:53,821 --> 00:05:55,454
and then I knew it was a slide.
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00:05:55,456 --> 00:05:59,224
Took my phone out of my pocket
and dialed 911.
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JUPP (on phone):
There was a big landslide
at the bottom of Skaglund Hill.
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00:06:03,764 --> 00:06:07,466
NARRATOR:
It's only minutes
after the landslide buries
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00:06:07,468 --> 00:06:10,469
nearly a mile stretch
of Highway 530.
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00:06:10,471 --> 00:06:15,674
Everything in its path,
in a tiny community called Oso,
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00:06:15,676 --> 00:06:17,843
is altered forever.
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00:06:17,845 --> 00:06:22,948
Rescuers have no idea
if there are any survivors.
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00:06:22,950 --> 00:06:25,183
JUPP:
It didn't take very long
for the guys to come from Oso.
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They were here
within ten minutes.
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00:06:27,187 --> 00:06:29,921
MIKE BLANKENSHIP:
When you could see dirt
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00:06:29,923 --> 00:06:31,623
for a mile straight,
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00:06:31,625 --> 00:06:34,025
you knew you were in
for the long haul.
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DAVID MONTGOMERY:
This slide apparently happened
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00:06:36,029 --> 00:06:38,430
in 138 seconds
from start to finish
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00:06:38,432 --> 00:06:40,198
in two phases, it seems,
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00:06:40,200 --> 00:06:42,000
based on the seismic signal
that was recorded
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00:06:42,002 --> 00:06:43,668
at the seismographic station
at UW.
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00:06:43,670 --> 00:06:47,038
NARRATOR:
If scientists converted
these seismic waves
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00:06:47,040 --> 00:06:51,176
to sound waves and sped them up,
this is how they would sound.
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(rumbling)
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00:06:53,747 --> 00:06:58,950
The initial collapse registered
on seismographs 170 miles away.
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MONTGOMERY:
Imagining all that material
moving off that valley wall
145
00:07:03,724 --> 00:07:07,659
all the way across the valley
floor in about two minutes?
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00:07:07,661 --> 00:07:10,095
I mean, that's really hard
to imagine.
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00:07:10,097 --> 00:07:12,564
PAULO FALCAO:
Oh my gosh.
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00:07:12,566 --> 00:07:15,033
Look at this!
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NARRATOR:
The danger is not over
for the victims or rescuers.
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00:07:18,238 --> 00:07:20,705
Another part of the hillside
could break free
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00:07:20,707 --> 00:07:22,574
and come crashing down.
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00:07:22,576 --> 00:07:25,210
Some landslides strike twice.
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00:07:29,683 --> 00:07:32,184
Around the world,
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00:07:32,186 --> 00:07:35,120
landslides occur anywhere
there's elevated terrain,
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killing thousands of people
every year.
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00:07:38,025 --> 00:07:39,991
In just seven months,
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00:07:39,993 --> 00:07:44,496
222 landslides worldwide
caused loss of life,
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00:07:44,498 --> 00:07:47,432
resulting in nearly
1,500 deaths.
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WOMAN:
Oh my God!
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NARRATOR:
They occur in every U.S. state
and cost billions annually.
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A landslide is simply
a downhill movement
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00:07:59,680 --> 00:08:04,916
of earth, rock or debris,
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00:08:04,918 --> 00:08:06,651
triggered
when gravity overpowers
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00:08:06,653 --> 00:08:10,021
the binding strength of the
materials that make up a slope.
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00:08:14,862 --> 00:08:18,563
Some landslides
are slow and shallow.
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00:08:18,565 --> 00:08:22,467
The top layers of soil or rock
slip over time,
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00:08:22,469 --> 00:08:24,436
just inches or feet a year.
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00:08:24,438 --> 00:08:27,305
Others, like mud flows
and rock falls,
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00:08:27,307 --> 00:08:33,245
move rapidly
and can flow long distances.
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00:08:33,247 --> 00:08:36,081
Rapid, deep landslides
that travel far,
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like the one in Oso,
are the most dangerous
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and difficult to predict.
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MONTGOMERY:
If you think
about the distinctions
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00:08:43,957 --> 00:08:44,956
between landslide types,
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00:08:44,958 --> 00:08:46,825
the sort of deep-seated
landslides
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00:08:46,827 --> 00:08:48,126
and shallow landslides,
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00:08:48,128 --> 00:08:50,829
shallow ones usually involve
just the soil
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00:08:50,831 --> 00:08:52,063
or what we call the regolith,
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00:08:52,065 --> 00:08:53,899
the weathered stuff
on top of rock.
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00:08:53,901 --> 00:08:56,301
Shallow landslides
will often involve,
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00:08:56,303 --> 00:09:00,171
like, a meter
or maybe a couple meters.
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00:09:00,173 --> 00:09:02,140
The one behind me is
a deep-seated landslide.
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00:09:02,142 --> 00:09:04,910
The whole valley wall
came down.
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00:09:04,912 --> 00:09:11,349
NARRATOR:
The raw slope left behind after
a landslide is called a "scarp."
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00:09:11,351 --> 00:09:13,652
David Montgomery
is a geomorphologist
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00:09:13,654 --> 00:09:18,256
who studies landforms
and the forces that shape them.
187
00:09:18,258 --> 00:09:20,525
He begins his investigation
at Oso
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00:09:20,527 --> 00:09:22,360
by surveying it from a distance.
189
00:09:22,362 --> 00:09:23,995
MONTGOMERY:
You can kind of get a sense
190
00:09:23,997 --> 00:09:25,497
for how the old edge
of that plateau
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00:09:25,499 --> 00:09:28,133
dropped down
as part of the landslide,
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00:09:28,135 --> 00:09:29,868
but you can also see
at the bottom
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00:09:29,870 --> 00:09:32,003
how the toe of the slide,
the bottom of it,
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00:09:32,005 --> 00:09:34,139
spread out laterally
across the valley bottom.
195
00:09:34,141 --> 00:09:36,775
So this solid hillside
started to fail
196
00:09:36,777 --> 00:09:40,445
and then it fluidized,
it turned into a debris flow.
197
00:09:40,447 --> 00:09:43,515
This is a super big landslide
that traveled super fast.
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00:09:43,517 --> 00:09:46,851
It's really hard to relate
to that in human terms.
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00:09:46,853 --> 00:09:50,455
NARRATOR:
Even now,
days after the Oso landslide,
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00:09:50,457 --> 00:09:52,958
chunks continue to calve off.
201
00:09:52,960 --> 00:09:54,960
GEOLOGIST:
That's a big one.
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00:09:54,962 --> 00:09:58,296
NARRATOR:
This slope has slid
many times before.
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00:09:58,298 --> 00:09:59,998
GEOLOGIST:
Whoa!
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00:10:00,000 --> 00:10:02,667
NARRATOR:
To figure out if it could
slide again in the future,
205
00:10:02,669 --> 00:10:05,503
Dave needs to look
into the past.
206
00:10:05,505 --> 00:10:09,374
A technique called Lidar,
laser-based altimetry
207
00:10:09,376 --> 00:10:11,743
that can penetrate
through the tree canopy,
208
00:10:11,745 --> 00:10:15,747
reveals the scars left behind
by past landslides.
209
00:10:15,749 --> 00:10:18,316
MONTGOMERY:
You basically take a laser
and mount it in a plane,
210
00:10:18,318 --> 00:10:20,819
fly it around and shine it down
on topography
211
00:10:20,821 --> 00:10:22,687
and measure the time it takes
212
00:10:22,689 --> 00:10:24,656
for the returns to get back
to the instrument.
213
00:10:24,658 --> 00:10:26,658
So you're basically scanning
the topography
214
00:10:26,660 --> 00:10:28,493
below wherever you have
the instrument.
215
00:10:28,495 --> 00:10:32,897
NARRATOR:
This Lidar image shows
the contours of the Oso Valley
216
00:10:32,899 --> 00:10:37,035
before and then after
the March 22 landslide.
217
00:10:37,037 --> 00:10:40,839
It also shows evidence
of past landslides
218
00:10:40,841 --> 00:10:42,407
up and down the valley.
219
00:10:42,409 --> 00:10:44,976
The yellow landslides
are the oldest,
220
00:10:44,978 --> 00:10:47,579
followed by the tan
and orange ones
221
00:10:47,581 --> 00:10:49,781
which overlap them.
222
00:10:49,783 --> 00:10:51,916
The red slides
are the most recent,
223
00:10:51,918 --> 00:10:54,019
with the crosshatched one
224
00:10:54,021 --> 00:10:56,321
designating
the March 22 event.
225
00:10:58,091 --> 00:11:00,992
It wasn't the biggest landslide
to strike the region.
226
00:11:00,994 --> 00:11:03,428
The large orange landslide
227
00:11:03,430 --> 00:11:05,764
that probably slid
many centuries ago
228
00:11:05,766 --> 00:11:08,733
is nearly twice the size
of Oso's recent slide.
229
00:11:08,735 --> 00:11:11,936
The challenge is to figure out
how long ago
230
00:11:11,938 --> 00:11:15,807
and how frequently
landslides occurred.
231
00:11:15,809 --> 00:11:17,375
That requires sort of
good old-fashioned geology.
232
00:11:17,377 --> 00:11:19,210
You need to go out and try
and find something to date.
233
00:11:19,212 --> 00:11:21,780
NARRATOR:
David Montgomery and his team
234
00:11:21,782 --> 00:11:25,116
found they could readily date
the ancient landslides.
235
00:11:25,118 --> 00:11:26,851
MONTGOMERY:
This is one of the buried logs
236
00:11:26,853 --> 00:11:29,054
that we carbon-dated
at about 5,300 years.
237
00:11:29,056 --> 00:11:31,322
It's buried
in an old landslide deposit.
238
00:11:31,324 --> 00:11:33,258
How do we date it?
239
00:11:33,260 --> 00:11:37,195
Grab a piece of bark,
take it back to the lab.
240
00:11:37,197 --> 00:11:39,864
We got three carbon samples
out of this margin of the slide,
241
00:11:39,866 --> 00:11:42,600
all dated to
about 5,300 years carbon age.
242
00:11:42,602 --> 00:11:47,605
NARRATOR:
Since 1933, aerial photos
and satellite images
243
00:11:47,607 --> 00:11:51,743
have provided even more clues
about the history of the slope.
244
00:11:51,745 --> 00:11:55,280
Pictures show the Oso slope
slid repeatedly,
245
00:11:55,282 --> 00:11:58,616
changing the course of the river
at its base.
246
00:11:58,618 --> 00:12:03,021
The regrowth of vegetation hid
the scars of its unstable past.
247
00:12:03,023 --> 00:12:04,355
MONTGOMERY:
You have this pattern
248
00:12:04,357 --> 00:12:06,825
with this slide on that slope
of essentially failing
249
00:12:06,827 --> 00:12:09,527
and then being quiescent
for a while,
250
00:12:09,529 --> 00:12:11,362
then failing again
a decade or two later.
251
00:12:11,364 --> 00:12:14,866
So this slope was a known actor
in terms of landslides
252
00:12:14,868 --> 00:12:17,135
that happened periodically
253
00:12:17,137 --> 00:12:19,437
involving just the lower part
of the slope
254
00:12:19,439 --> 00:12:22,140
that eventually failed in 2014.
255
00:12:22,142 --> 00:12:26,745
NARRATOR:
Although rescuers in the region
train for landslide disasters,
256
00:12:26,747 --> 00:12:29,748
no one was prepared
for this kind of devastation.
257
00:12:29,750 --> 00:12:32,717
911 OPERATOR:
We have requested a helo
from the Navy
258
00:12:32,719 --> 00:12:34,052
and from our Search and Rescue.
259
00:12:34,054 --> 00:12:36,321
NARRATOR:
The Snohomish County
Helicopter Rescue Team
260
00:12:36,323 --> 00:12:38,523
was the first air support
on the scene.
261
00:12:38,525 --> 00:12:39,424
Check!
262
00:12:39,426 --> 00:12:40,825
NARRATOR:
They use advanced technology
263
00:12:40,827 --> 00:12:43,161
to search for survivors.
264
00:12:43,163 --> 00:12:45,396
Scanning the mudscape
265
00:12:45,398 --> 00:12:48,366
with an augmented reality
mapping system,
266
00:12:48,368 --> 00:12:52,437
pilots toggle between
the mud-gray live video,
267
00:12:52,439 --> 00:12:56,875
which is inset into the green
pre-disaster aerial photography,
268
00:12:56,877 --> 00:13:00,211
showing where the 49 homes
once stood,
269
00:13:00,213 --> 00:13:03,815
where streets were laid out
just an hour earlier.
270
00:13:03,817 --> 00:13:05,717
BILL QUISTORF:
The partner that
I was flying with,
271
00:13:05,719 --> 00:13:08,787
our tactical flight officer,
he told me right off the bat
272
00:13:08,789 --> 00:13:11,122
that there were 30 homes
in the area.
273
00:13:11,124 --> 00:13:14,292
And I said, "30 homes where?"
because all I could see
274
00:13:14,294 --> 00:13:15,593
was just a vast wasteland.
275
00:13:15,595 --> 00:13:17,762
There were no homes.
276
00:13:17,764 --> 00:13:19,631
There were no remnants of homes.
277
00:13:19,633 --> 00:13:23,501
NARRATOR:
A thermal camera
allows them to spot bodies
278
00:13:23,503 --> 00:13:24,803
by the heat they give off.
279
00:13:24,805 --> 00:13:26,437
QUISTORF:
This tool was vital
in helping us search
280
00:13:26,439 --> 00:13:30,909
and determine that there were
no live people in the mud.
281
00:13:30,911 --> 00:13:34,412
NARRATOR:
They expected to find people
282
00:13:34,414 --> 00:13:37,315
near where their homes
once stood,
283
00:13:37,317 --> 00:13:40,718
but the instrument detected
no heat signatures at all.
284
00:13:40,720 --> 00:13:43,688
There was no longer
anything there--
285
00:13:43,690 --> 00:13:47,625
no houses and no people,
dead or alive.
286
00:13:47,627 --> 00:13:52,397
A geologist helped them
to refocus the search.
287
00:13:52,399 --> 00:13:55,099
RICHARD IVERSON:
It took a bit of time
for this to sink in with us
288
00:13:55,101 --> 00:13:56,701
because we were thinking
one way,
289
00:13:56,703 --> 00:13:59,304
whereas the searchers were by
and large thinking another way.
290
00:13:59,306 --> 00:14:01,472
Being trained
as first responders,
291
00:14:01,474 --> 00:14:04,609
they had the mindset that
the place you needed to get to
292
00:14:04,611 --> 00:14:06,377
was the place where
those people had been,
293
00:14:06,379 --> 00:14:07,912
meaning where the houses
had been
294
00:14:07,914 --> 00:14:09,814
before the landslide occurred.
295
00:14:09,816 --> 00:14:11,282
It w immediately clear
296
00:14:11,284 --> 00:14:12,917
that there was going to be
nothing there.
297
00:14:12,919 --> 00:14:15,019
There would be no trace
of civilization whatsoever
298
00:14:15,021 --> 00:14:16,454
back where those houses
originated.
299
00:14:16,456 --> 00:14:19,958
NARRATOR:
When the hill collapsed
with such force,
300
00:14:19,960 --> 00:14:22,560
it pushed all the debris,
houses included,
301
00:14:22,562 --> 00:14:25,763
to the far side of the valley.
302
00:14:25,765 --> 00:14:27,265
It's what scientists call
303
00:14:27,267 --> 00:14:29,868
"the distal end"
of the landslide.
304
00:14:29,870 --> 00:14:35,039
Iverson was able to map out
the direction the landslide,
305
00:14:35,041 --> 00:14:38,109
and anything caught up in it,
would go.
306
00:14:38,111 --> 00:14:41,679
IVERSON:
This was an incredibly
real manifestation
307
00:14:41,681 --> 00:14:43,781
of something
that I'd been studying
308
00:14:43,783 --> 00:14:46,084
on a more abstract level
for decades.
309
00:14:46,086 --> 00:14:48,186
And to see it all play out
right there
310
00:14:48,188 --> 00:14:51,289
and witness firsthand
the damage that it had wreaked,
311
00:14:51,291 --> 00:14:54,626
it was really a very,
very profound experience.
312
00:14:54,628 --> 00:14:58,763
NARRATOR:
The next time
a landslide strikes,
313
00:14:58,765 --> 00:15:00,632
geologists, first on the scene,
314
00:15:00,634 --> 00:15:04,669
could be instrumental
in saving lives.
315
00:15:07,040 --> 00:15:08,673
Robin Youngblood's home
316
00:15:08,675 --> 00:15:11,943
was rafted hundreds of feet
from where it once stood.
317
00:15:11,945 --> 00:15:14,245
YOUNGBLOOD:
I was still conscious.
318
00:15:14,247 --> 00:15:17,115
I couldn't breathe.
319
00:15:17,117 --> 00:15:20,251
My nose, my mouth,
my ears, my eyes,
320
00:15:20,253 --> 00:15:22,987
everything was full of water
and mud.
321
00:15:22,989 --> 00:15:25,890
I knew I had to get out.
322
00:15:25,892 --> 00:15:29,627
I don't know quite how I knew
which way was up.
323
00:15:29,629 --> 00:15:34,966
And I started pushing,
and finally I got air.
324
00:15:34,968 --> 00:15:39,804
RANDY FAY:
Robin and her friend
were the first ones we spotted.
325
00:15:39,806 --> 00:15:42,573
They had gotten on top
of the debris of Robin's home
326
00:15:42,575 --> 00:15:44,609
and were waving
and caught our attention.
327
00:15:44,611 --> 00:15:48,079
The methodology we use for them
328
00:15:48,081 --> 00:15:49,847
involves putting them
in a hammock device.
329
00:15:49,849 --> 00:15:52,850
So they don't have to move
or really participate,
330
00:15:52,852 --> 00:15:55,119
and as long as
we're comfortable
331
00:15:55,121 --> 00:15:56,688
there's no spinal injuries
of any kind,
332
00:15:56,690 --> 00:15:58,556
we can get them out of there
pretty quickly.
333
00:15:58,558 --> 00:15:59,657
ERNIE ZELLERS:
I have her.
334
00:15:59,659 --> 00:16:00,758
Give me some slack!
335
00:16:00,760 --> 00:16:03,161
Are you okay?
336
00:16:03,163 --> 00:16:04,929
YOUNGBLOOD:
They dropped us off and said,
337
00:16:04,931 --> 00:16:06,864
"We're going right back,
we saw somebody."
338
00:16:12,205 --> 00:16:16,140
FAY:
Our crew chief spotted something
moving in the mud.
339
00:16:16,142 --> 00:16:19,644
NARRATOR:
It was four-year-old
Jacob Spillers,
340
00:16:19,646 --> 00:16:21,312
struggling alone in the mud.
341
00:16:21,314 --> 00:16:24,749
He was home with his father
and three siblings,
342
00:16:24,751 --> 00:16:27,618
Brooke, Kaylee and Jovon,
343
00:16:27,620 --> 00:16:31,622
who were watching TV downstairs
while their mother was out.
344
00:16:31,624 --> 00:16:33,825
Jacob was on the second floor.
345
00:16:33,827 --> 00:16:38,396
The landslide carried him
over a quarter of a mile away.
346
00:16:38,398 --> 00:16:42,300
All but Jacob were buried alive.
347
00:16:42,302 --> 00:16:44,369
Jacob at that point was
about waist deep in this
348
00:16:44,371 --> 00:16:45,770
and covered head to toe
with mud,
349
00:16:45,772 --> 00:16:47,138
so it was just kind of
the wriggling around.
350
00:16:47,140 --> 00:16:51,075
So had we not come down lower
and slower to watch that,
351
00:16:51,077 --> 00:16:54,045
well, I don't think we would
have spotted him, frankly.
352
00:16:54,047 --> 00:16:57,915
NARRATOR:
A neighbor miraculously made it
through the mud to Jacob.
353
00:16:57,917 --> 00:16:59,784
But now they're both stuck.
354
00:16:59,786 --> 00:17:03,054
FAY:
It was clear if he was sinking
as a four-year-old,
355
00:17:03,056 --> 00:17:05,390
a big, fat guy like me
was going to have real trouble.
356
00:17:05,392 --> 00:17:08,526
NARRATOR:
Jacob is hypothermic.
357
00:17:08,528 --> 00:17:12,430
His rescuer shields him from
the helicopter's rotor wash.
358
00:17:12,432 --> 00:17:16,134
STEVE KLETT:
We attempted to come down
and put a skid close to a log,
359
00:17:16,136 --> 00:17:18,736
and there just was not enough
rotor clearance
360
00:17:18,738 --> 00:17:20,138
to get down that low.
361
00:17:20,140 --> 00:17:24,542
FAY:
We do a maneuver called
low hover off-loading,
362
00:17:24,544 --> 00:17:26,310
and we do this
in the mountains a lot
363
00:17:26,312 --> 00:17:27,512
if we're working
against ledges
364
00:17:27,514 --> 00:17:29,313
or areas where
we can't land,
365
00:17:29,315 --> 00:17:32,383
and it basically involves
bringing the helicopter down
366
00:17:32,385 --> 00:17:34,285
to a one-foot hover
next to an obstacle,
367
00:17:34,287 --> 00:17:36,320
and then we move on and off
the aircraft
368
00:17:36,322 --> 00:17:39,390
while the pilots
hold it steady there.
369
00:17:39,392 --> 00:17:42,627
I sank probably
a little over ankle-deep
370
00:17:42,629 --> 00:17:45,463
when I stepped off and was
hesitant to move down the slope
371
00:17:45,465 --> 00:17:47,432
for fear I'd get stuck.
372
00:17:47,434 --> 00:17:49,667
So I had a hand line
that I threw him.
373
00:17:49,669 --> 00:17:51,102
And between the two of us,
374
00:17:51,104 --> 00:17:53,538
we were able to pull them up
out of there
375
00:17:53,540 --> 00:17:55,039
and get them up with us.
376
00:17:58,344 --> 00:18:00,912
We handed Jacob
to the crew chief,
377
00:18:00,914 --> 00:18:03,047
and then the other gentleman
turned to leave
378
00:18:03,049 --> 00:18:04,816
and immediately started
sinking again.
379
00:18:04,818 --> 00:18:06,818
So I motioned for him
to come back up,
380
00:18:06,820 --> 00:18:09,954
we put him on board,
and he actually held Jacob
381
00:18:09,956 --> 00:18:11,589
while we flew out of there,
382
00:18:11,591 --> 00:18:13,091
which turned out to be
a good thing
383
00:18:13,093 --> 00:18:15,760
that he was on board with us.
384
00:18:15,762 --> 00:18:20,498
YOUNGBLOOD:
They brought Jacob to us
in the ambulance,
385
00:18:20,500 --> 00:18:26,904
and he was just drenched
and shivering and shaking,
386
00:18:26,906 --> 00:18:29,841
and I mean,
I'm a grandma, right?
387
00:18:29,843 --> 00:18:31,909
So I just told him,
388
00:18:31,911 --> 00:18:33,911
"I'm going to get
those wet clothes off you,
389
00:18:33,913 --> 00:18:35,780
"we're going to put you
in a warm blanket,
390
00:18:35,782 --> 00:18:37,315
"I'll take care of you,
391
00:18:37,317 --> 00:18:39,917
we're going to sing songs,
it's okay."
392
00:18:42,021 --> 00:18:46,190
NARRATOR:
The scope of the devastation
caused by this landslide
393
00:18:46,192 --> 00:18:49,594
is something that even a trained
geologist like David Montgomery
394
00:18:49,596 --> 00:18:52,096
has a hard time accepting.
395
00:18:52,098 --> 00:18:53,498
MONTGOMERY:
Wow.
396
00:18:53,500 --> 00:18:55,299
You know, who would have been
able to imagine that
397
00:18:55,301 --> 00:18:56,567
on the very first nice day
of spring,
398
00:18:56,569 --> 00:18:58,035
the whole mountain
could come down
399
00:18:58,037 --> 00:18:59,670
and run all the way
across the valley bottom?
400
00:18:59,672 --> 00:19:04,008
NARRATOR:
He wants to see for himself
the distal end of the slide,
401
00:19:04,010 --> 00:19:07,145
the place where houses,
people, cars
402
00:19:07,147 --> 00:19:09,747
and the remains of an entire
neighborhood ended up,
403
00:19:09,749 --> 00:19:11,816
bulldozed by the landslide.
404
00:19:11,818 --> 00:19:15,753
Seeing ground zero is a shock.
405
00:19:15,755 --> 00:19:17,121
MONTGOMERY:
What can you say?
406
00:19:17,123 --> 00:19:18,656
It's utter devastation.
407
00:19:18,658 --> 00:19:20,992
We're at the distal end
of the debris flow,
408
00:19:20,994 --> 00:19:22,226
and you can see that
409
00:19:22,228 --> 00:19:24,929
the jumble of wood and soil
that was pushed
410
00:19:24,931 --> 00:19:27,732
as the leading wave
of the debris flow
411
00:19:27,734 --> 00:19:30,601
that ran into the highway
and everything
412
00:19:30,603 --> 00:19:34,038
in between the slide
with unimaginable force
413
00:19:34,040 --> 00:19:37,642
completely torn up
in a chaotic pile of debris.
414
00:19:37,644 --> 00:19:40,077
But notice all the wood
from the trees
415
00:19:40,079 --> 00:19:42,413
that were entrained and pushed
along within the flow
416
00:19:42,415 --> 00:19:43,814
got rafted out to the front.
417
00:19:43,816 --> 00:19:47,985
I've seen deposits
from debris flows before,
418
00:19:47,987 --> 00:19:52,089
but never anything this big
and this extensive.
419
00:19:52,091 --> 00:19:54,592
It's unimaginably large.
420
00:19:54,594 --> 00:19:57,528
The scale of this
is just overwhelming.
421
00:19:57,530 --> 00:20:01,699
NARRATOR:
What's surprising to the experts
422
00:20:01,701 --> 00:20:05,236
is that a 600-foot-high slope
slid for a mile,
423
00:20:05,238 --> 00:20:08,706
many times further than
this slope ever slid before.
424
00:20:08,708 --> 00:20:10,808
It's a central mystery
of the disaster,
425
00:20:10,810 --> 00:20:14,145
something no one expected.
426
00:20:14,147 --> 00:20:17,315
IVERSON:
If the Oso landslide had behaved
in an ordinary fashion,
427
00:20:17,317 --> 00:20:19,784
it might've hit
one or two houses.
428
00:20:19,786 --> 00:20:21,552
That's of course
not what happened at all.
429
00:20:21,554 --> 00:20:23,487
Instead, the landslide mobilized
430
00:20:23,489 --> 00:20:25,656
and very dramatically ran
on the order
431
00:20:25,658 --> 00:20:28,059
of five times further
than you might've expected
432
00:20:28,061 --> 00:20:29,760
based on typical behavior,
433
00:20:29,762 --> 00:20:31,762
and that's what really lead
to all the devastation.
434
00:20:31,764 --> 00:20:34,065
NARRATOR:
David Montgomery gears up
435
00:20:34,067 --> 00:20:37,935
to investigate what's behind
this deadly anomaly.
436
00:20:37,937 --> 00:20:40,371
We are going over to the scarp
of the slide,
437
00:20:40,373 --> 00:20:43,975
which has been actively eroding
since the failure.
438
00:20:43,977 --> 00:20:46,777
And we want to be roped in
and as safe as possible
439
00:20:46,779 --> 00:20:49,247
getting close to the thing.
440
00:20:49,249 --> 00:20:51,315
MAN:
Dave, have you put on
a harness before?
441
00:20:51,317 --> 00:20:52,817
MONTGOMERY:
Uh, I've had them
put on me before.
442
00:20:52,819 --> 00:20:55,820
NARRATOR:
He's roped to four anchors
for safety.
443
00:20:55,822 --> 00:20:57,154
At any moment,
444
00:20:57,156 --> 00:20:59,890
with his weight adding stress
to the top of the landslide,
445
00:20:59,892 --> 00:21:03,594
a chunk with Dave on it
could peel away.
446
00:21:03,596 --> 00:21:05,830
MONTGOMERY:
You can hear the raveling
off the face.
447
00:21:05,832 --> 00:21:07,231
The sediments that are exposed
448
00:21:07,233 --> 00:21:09,267
in the head scarp
of the landslide
449
00:21:09,269 --> 00:21:10,701
are sand and gravel.
450
00:21:10,703 --> 00:21:12,169
It's fairly loose stuff,
451
00:21:12,171 --> 00:21:15,940
and you can hear the individual
particles being dislodged
452
00:21:15,942 --> 00:21:18,676
and rolling down the face
as we stand here.
453
00:21:18,678 --> 00:21:21,812
You can actually see the stuff
coming down.
454
00:21:21,814 --> 00:21:24,248
You can see the plumes of dust
rising up off of the scarp.
455
00:21:24,250 --> 00:21:28,352
NARRATOR:
The loose sand and gravel
can't adhere to the scarp,
456
00:21:28,354 --> 00:21:31,422
so it easily slides
off the slope.
457
00:21:31,424 --> 00:21:32,690
MONTGOMERY:
This is safe enough
458
00:21:32,692 --> 00:21:34,525
that we are roped in.
459
00:21:34,527 --> 00:21:36,694
The head scarp
has been retreating back
460
00:21:36,696 --> 00:21:37,862
since the landslide happened.
461
00:21:37,864 --> 00:21:39,063
It's fairly weak material.
462
00:21:39,065 --> 00:21:41,065
We're obviously hoping that
doesn't happen very soon.
463
00:21:41,067 --> 00:21:44,702
NARRATOR:
What was the top of the slope
before the landslide
464
00:21:44,704 --> 00:21:49,240
is now nearly 300 feet
below the head scarp.
465
00:21:49,242 --> 00:21:52,643
MONTGOMERY:
The area downhill from here
that has all the trees on it
466
00:21:52,645 --> 00:21:55,913
that have been back-rotated
is a big block of the landslide
467
00:21:55,915 --> 00:21:58,983
that dropped out from under
just in front of us
468
00:21:58,985 --> 00:22:01,552
and was essentially
the head of the slide
469
00:22:01,554 --> 00:22:04,221
forming this head scarp.
470
00:22:04,223 --> 00:22:06,857
NARRATOR:
The Oso landslide came down
in two pieces:
471
00:22:06,859 --> 00:22:08,693
the lower half of the slope
472
00:22:08,695 --> 00:22:11,162
that spread out
onto the valley floor
473
00:22:11,164 --> 00:22:13,030
and the heavily treed head scarp
474
00:22:13,032 --> 00:22:16,067
that plummeted
halfway down the slope.
475
00:22:16,069 --> 00:22:19,370
Two events, just minutes apart.
476
00:22:19,372 --> 00:22:22,206
The same thing happened
in Afghanistan
477
00:22:22,208 --> 00:22:26,210
just a few weeks
after the Oso slide
478
00:22:26,212 --> 00:22:28,045
while a wedding took place
in Badakhshan.
479
00:22:28,047 --> 00:22:29,714
(people yelling)
480
00:22:29,716 --> 00:22:33,951
Two slides with long runouts
came crashing down in succession
481
00:22:33,953 --> 00:22:38,189
when rain turned a mountain
to liquid mud.
482
00:22:38,191 --> 00:22:41,592
The first slide crushed homes
in an instant.
483
00:22:41,594 --> 00:22:43,594
(yelling continues)
484
00:22:43,596 --> 00:22:46,230
Eyewitnesses raced
into the deadly mire,
485
00:22:46,232 --> 00:22:49,600
desperately trying to dig out
family members,
486
00:22:49,602 --> 00:22:51,869
when the second slide hit
minutes later,
487
00:22:51,871 --> 00:22:54,305
much larger than the first.
488
00:22:56,509 --> 00:22:58,309
Hundreds, perhaps thousands,
489
00:22:58,311 --> 00:23:03,147
are entombed
in more than 160 feet of mud.
490
00:23:03,149 --> 00:23:06,484
The government declared the site
a mass grave.
491
00:23:06,486 --> 00:23:12,490
(translated):
It's really hard for survivors
to find their homes
492
00:23:12,492 --> 00:23:14,558
using simple tools like shovels.
493
00:23:14,560 --> 00:23:19,196
We haven't recovered
any of the deceased in the mud.
494
00:23:19,198 --> 00:23:22,600
The people are horrified.
495
00:23:22,602 --> 00:23:25,236
They witnessed the tragedy
with their own eyes.
496
00:23:25,238 --> 00:23:27,905
They describe the landslide
as if it were a monster
497
00:23:27,907 --> 00:23:29,740
that devoured their loved ones.
498
00:23:29,742 --> 00:23:35,613
(translated):
My family, including my child
and all my belongings, are gone.
499
00:23:35,615 --> 00:23:37,214
We ask the government
to help us here.
500
00:23:37,216 --> 00:23:39,049
We don't have the necessary
equipment.
501
00:23:42,488 --> 00:23:45,990
(translated):
Some people whose houses
weren't destroyed
502
00:23:45,992 --> 00:23:47,992
still won't return
to their homes.
503
00:23:47,994 --> 00:23:50,795
They'd rather live
in temporary tents
504
00:23:50,797 --> 00:23:55,699
than face the horror and fear
of another landslide.
505
00:23:55,701 --> 00:23:58,669
NARRATOR:
Geologist Haji Mohammad Jamshid
506
00:23:58,671 --> 00:24:02,306
found evidence of cracks
at the top of the mountain,
507
00:24:02,308 --> 00:24:04,942
a known first indicator
of movement on a slope.
508
00:24:04,944 --> 00:24:07,711
JAMSHID (translated):
This shows an opening
in the earth
509
00:24:07,713 --> 00:24:09,513
that is ten meters deep,
510
00:24:09,515 --> 00:24:11,115
and the width is between one
511
00:24:11,117 --> 00:24:13,250
and three and a half meters
wide.
512
00:24:13,252 --> 00:24:15,186
NARRATOR:
With better landslide awareness,
513
00:24:15,188 --> 00:24:18,389
these obvious signs on a slope
above a populated area
514
00:24:18,391 --> 00:24:21,025
can raise red flags in time
515
00:24:21,027 --> 00:24:24,929
for authorities to set up
a monitoring system.
516
00:24:24,931 --> 00:24:28,098
(translated):
It's not possible
for human beings
517
00:24:28,100 --> 00:24:29,700
to prevent natural disasters.
518
00:24:29,702 --> 00:24:32,403
But we can save people
519
00:24:32,405 --> 00:24:36,307
by evacuating them
from landslide-prone areas.
520
00:24:36,309 --> 00:24:38,476
MONTGOMERY:
The unfortunate reality
is that sometimes,
521
00:24:38,478 --> 00:24:40,277
if part of a slope fails,
522
00:24:40,279 --> 00:24:42,913
it can destabilize
the next piece.
523
00:24:42,915 --> 00:24:45,449
Sometimes two happen
in very rapid succession,
524
00:24:45,451 --> 00:24:48,919
like the most recent Oso slide
and like the Afghanistan slide,
525
00:24:48,921 --> 00:24:50,921
and that can be
really heart-breaking
526
00:24:50,923 --> 00:24:52,823
if you have people doing
the very human thing
527
00:24:52,825 --> 00:24:53,958
of rushing to help
528
00:24:53,960 --> 00:24:57,027
and then those people get caught
in the second bit.
529
00:24:57,029 --> 00:25:00,064
There's no word for it
other than "tragedy."
530
00:25:03,603 --> 00:25:06,971
NARRATOR:
Understanding why a landslide
behaves the way it does
531
00:25:06,973 --> 00:25:10,341
is almost like investigating
a crime scene.
532
00:25:10,343 --> 00:25:13,177
Geologists have to search
for clues,
533
00:25:13,179 --> 00:25:16,547
like the composition of the soil
that slid.
534
00:25:16,549 --> 00:25:21,051
Dave Montgomery peels back
the layers of the Oso slope.
535
00:25:21,053 --> 00:25:23,787
It all dates back
to when glaciers were here
536
00:25:23,789 --> 00:25:26,657
15,000 years ago.
537
00:25:26,659 --> 00:25:29,293
MONTGOMERY:
This material is
the glacial lake deposits
538
00:25:29,295 --> 00:25:31,362
that are at the bottom
of the geological pile here.
539
00:25:31,364 --> 00:25:33,531
And it's a mix of silt and clay
540
00:25:33,533 --> 00:25:35,199
that I can just crumble
with my fingers.
541
00:25:35,201 --> 00:25:37,868
NARRATOR:
When wet, the very fine material
542
00:25:37,870 --> 00:25:40,104
that makes up this base layer
of clay
543
00:25:40,106 --> 00:25:42,373
slips like a banana peel.
544
00:25:42,375 --> 00:25:45,910
The layer above it
is a porous, silty sand.
545
00:25:45,912 --> 00:25:49,179
Water drains through it
like beach sand.
546
00:25:49,181 --> 00:25:52,449
MONTGOMERY:
These gray pillars around me
are all made out of glacial till
547
00:25:52,451 --> 00:25:55,352
which came off
of the head scarp.
548
00:25:55,354 --> 00:25:57,221
And the stuff is pretty strong,
it's pretty cohesive,
549
00:25:57,223 --> 00:25:58,556
it holds together well.
550
00:25:58,558 --> 00:26:01,692
It survived the trip down
to here in fairly large chunks.
551
00:26:01,694 --> 00:26:06,864
NARRATOR:
Glacial till is an upper layer
of hard-packed material
552
00:26:06,866 --> 00:26:10,034
left behind by the compressing
action of a glacier
553
00:26:10,036 --> 00:26:11,602
from the last ice age.
554
00:26:11,604 --> 00:26:13,370
It's the layer just beneath
555
00:26:13,372 --> 00:26:16,607
the very loose sand and gravel
at the top.
556
00:26:16,609 --> 00:26:18,509
And we know it's till
because there's boulders,
557
00:26:18,511 --> 00:26:22,379
there's gravel, there's pebbles,
there's sand, and there's clay.
558
00:26:22,381 --> 00:26:24,014
It's everything.
559
00:26:24,016 --> 00:26:26,016
It's like a dog's breakfast
of a deposit.
560
00:26:26,018 --> 00:26:29,086
NARRATOR:
Add to that a regular flow
of groundwater.
561
00:26:29,088 --> 00:26:31,722
MONTGOMERY:
How much of that water
was actually flowing into
562
00:26:31,724 --> 00:26:34,491
and helping to saturate
the material
563
00:26:34,493 --> 00:26:38,729
that failed in the 2014
landslide is an open question.
564
00:26:38,731 --> 00:26:40,497
But there was certainly
groundwater coming in
565
00:26:40,499 --> 00:26:41,932
from the margins of the slide.
566
00:26:41,934 --> 00:26:45,769
NARRATOR:
How much water the layers
on each slope can hold
567
00:26:45,771 --> 00:26:49,340
is a factor landslide geologists
try to measure.
568
00:26:49,342 --> 00:26:52,276
IVERSON:
The contributing factors in the
great majority of landslides
569
00:26:52,278 --> 00:26:53,544
have to do with water.
570
00:26:53,546 --> 00:26:55,679
In the case of this event
at Oso,
571
00:26:55,681 --> 00:26:57,881
there had been prolonged
heavy rain.
572
00:26:57,883 --> 00:26:59,750
The wetter it is,
the more likely it is
573
00:26:59,752 --> 00:27:01,652
that the groundwater pressures
will tend to build.
574
00:27:01,654 --> 00:27:03,120
And it's that increase
575
00:27:03,122 --> 00:27:04,688
that eventually triggers
the landslide.
576
00:27:07,460 --> 00:27:10,461
NARRATOR:
Layers of clay, sand,
glacial till,
577
00:27:10,463 --> 00:27:12,630
and a loose, gravelly top layer
578
00:27:12,632 --> 00:27:16,567
are typical materials found
worldwide on mountain slopes.
579
00:27:16,569 --> 00:27:20,704
This combination of ingredients,
mixed with a wet climate,
580
00:27:20,706 --> 00:27:22,940
paves the way
for a long runout landslide.
581
00:27:22,942 --> 00:27:26,510
MONTGOMERY:
You have the geological setup
of a naturally unstable slope,
582
00:27:26,512 --> 00:27:29,380
and then we get a very,
very wet winter.
583
00:27:29,382 --> 00:27:31,882
The proximal cause
of this landslide is
584
00:27:31,884 --> 00:27:33,384
we had the wettest March
in history,
585
00:27:33,386 --> 00:27:36,987
something like 22 inches
of rainfall in this area.
586
00:27:36,989 --> 00:27:38,522
It's almost two feet of rain
in a month.
587
00:27:38,524 --> 00:27:39,857
BLANKENSHIP:
I live in Washington.
588
00:27:39,859 --> 00:27:41,291
(laughs)
589
00:27:41,293 --> 00:27:43,260
So, it rains a lot
in Washington.
590
00:27:43,262 --> 00:27:47,031
NARRATOR:
The Pacific Northwest
is landslide country.
591
00:27:47,033 --> 00:27:51,635
More rain falls here than any
other part of North America,
592
00:27:51,637 --> 00:27:53,637
as much as 118 inches annually
593
00:27:53,639 --> 00:27:57,341
on the western slope
of the Cascades.
594
00:27:57,343 --> 00:28:01,111
Research suggests climate change
could result in an increase
595
00:28:01,113 --> 00:28:03,447
in the number and intensity
of showers.
596
00:28:03,449 --> 00:28:09,153
This could cause more frequent
landslides on unstable slopes.
597
00:28:09,155 --> 00:28:12,823
But Oso experienced a slide
beyond expectation,
598
00:28:12,825 --> 00:28:15,859
and scientists want to know
what caused the mountain
599
00:28:15,861 --> 00:28:20,764
to turn to liquid so quickly
and flow so far.
600
00:28:20,766 --> 00:28:25,469
Richard Iverson has studied
debris flow for 30 years.
601
00:28:25,471 --> 00:28:27,337
IVERSON:
When we first arrived
on the site
602
00:28:27,339 --> 00:28:29,573
and looked out
across the area of devastation,
603
00:28:29,575 --> 00:28:32,209
it really didn't make sense.
604
00:28:32,211 --> 00:28:35,179
You don't expect a landslide
originating from that height
605
00:28:35,181 --> 00:28:37,214
to travel that kind of distance.
606
00:28:37,216 --> 00:28:38,749
So immediately, that poses
607
00:28:38,751 --> 00:28:41,251
a big question in your mind
scientifically
608
00:28:41,253 --> 00:28:43,754
as to why this thing traveled
as far as it did.
609
00:28:43,756 --> 00:28:46,323
NARRATOR:
The unique physics
of the landslide
610
00:28:46,325 --> 00:28:49,059
was the result of a phenomenon
Iverson knows well,
611
00:28:49,061 --> 00:28:53,897
when the ground turns to liquid
in what's called liquefaction.
612
00:28:53,899 --> 00:28:55,799
Usually when people
hear the word "liquefaction,"
613
00:28:55,801 --> 00:28:57,668
they think of something
that occurs during earthquakes
614
00:28:57,670 --> 00:29:01,271
because when the ground shakes
and you have loose, wet soil,
615
00:29:01,273 --> 00:29:03,073
that soil can liquefy
616
00:29:03,075 --> 00:29:05,209
and buildings can become
destabilized.
617
00:29:05,211 --> 00:29:08,245
But it turns out that landslides
can also cause liquefaction.
618
00:29:08,247 --> 00:29:11,915
NARRATOR:
Iverson's models help illustrate
just how fast
619
00:29:11,917 --> 00:29:16,086
a rapid, deep landslide,
now liquefied, can move.
620
00:29:16,088 --> 00:29:21,158
He believes Oso's
7,600,000 cubic meters of mud
621
00:29:21,160 --> 00:29:24,495
was moving at 60 miles per hour.
622
00:29:24,497 --> 00:29:26,163
IVERSON:
It took less than one minute
623
00:29:26,165 --> 00:29:28,132
for the debris to move
from the source area
624
00:29:28,134 --> 00:29:30,300
all the way across
the flood plain.
625
00:29:30,302 --> 00:29:31,902
That's a distance
of roughly one kilometer.
626
00:29:31,904 --> 00:29:33,303
Here's the scale.
627
00:29:33,305 --> 00:29:36,306
And then for some
extended period afterwards,
628
00:29:36,308 --> 00:29:39,309
it gradually oozes out
along the margins.
629
00:29:39,311 --> 00:29:41,145
NARRATOR:
Virtual Oso
provides some answers,
630
00:29:41,147 --> 00:29:45,349
but what if we could recreate
a real landslide
631
00:29:45,351 --> 00:29:47,451
to learn how far
and fast it'll go?
632
00:29:47,453 --> 00:29:50,954
In Oregon, Richard Iverson
oversees experiments
633
00:29:50,956 --> 00:29:53,357
at the world's largest
landslide flume,
634
00:29:53,359 --> 00:29:56,727
a 310-foot-long concrete chute.
635
00:29:56,729 --> 00:30:00,564
Here, the U.S. Geological Survey
636
00:30:00,566 --> 00:30:03,901
slops together truckloads
of soil materials
637
00:30:03,903 --> 00:30:07,838
to track how they behave
when water is added.
638
00:30:13,746 --> 00:30:18,348
This is how geologists here
study the forces of nature.
639
00:30:28,727 --> 00:30:32,763
They want to figure out
how much rain is too much
640
00:30:32,765 --> 00:30:35,399
on slopes like Oso.
641
00:30:35,401 --> 00:30:37,534
IVERSON:
The experiments are actually
very pertinent
642
00:30:37,536 --> 00:30:40,003
to what happened at Oso.
643
00:30:40,005 --> 00:30:43,841
We put a pile
of loosely packed sediment
644
00:30:43,843 --> 00:30:46,310
in the top of our flume,
645
00:30:46,312 --> 00:30:48,145
and we simply water it
until failure occurs.
646
00:30:48,147 --> 00:30:49,479
The landslide will liquefy
647
00:30:49,481 --> 00:30:51,415
because of the loose
packing configuration
648
00:30:51,417 --> 00:30:53,650
or the high porosity
of that soil.
649
00:30:53,652 --> 00:30:57,387
NARRATOR:
Porosity is a measure
of how much open space there is
650
00:30:57,389 --> 00:31:02,159
between the individual particles
that make up soil.
651
00:31:02,161 --> 00:31:06,563
Loose soil is more porous
than tamped-down earth.
652
00:31:06,565 --> 00:31:08,198
If the soil
were more densely packed,
653
00:31:08,200 --> 00:31:10,634
then it would have much less
inclination to liquefy.
654
00:31:12,438 --> 00:31:16,874
NARRATOR:
Iverson and his colleagues will
measure how long it will take
655
00:31:16,876 --> 00:31:18,742
to turn this solid mass
to liquid.
656
00:31:18,744 --> 00:31:21,211
Everybody feeling ready
for go time here?
657
00:31:21,213 --> 00:31:23,013
GEOLOGIST:
Okay, we're ready for water?
658
00:31:23,015 --> 00:31:25,616
NARRATOR:
Playing Mother Nature,
659
00:31:25,618 --> 00:31:28,385
the team adds rain
to Mount Flume.
660
00:31:28,387 --> 00:31:31,421
IVERSON:
It's very much like
an Oso-type landslide
661
00:31:31,423 --> 00:31:34,591
being triggered by long-term
accumulating rainfall
662
00:31:34,593 --> 00:31:36,059
and building groundwater
pressures.
663
00:31:36,061 --> 00:31:40,297
NARRATOR:
Cracks, showing slippage
at the top of the slope,
664
00:31:40,299 --> 00:31:44,268
soon form in the loose rock
and soil mixture.
665
00:31:44,270 --> 00:31:45,836
The porous slope takes on water
like a sponge.
666
00:31:45,838 --> 00:31:47,971
IVERSON:
Rocks and soil
are an amazing thing
667
00:31:47,973 --> 00:31:50,474
in terms of how they respond
to water.
668
00:31:50,476 --> 00:31:54,211
One slope can take on water
faster than another one can.
669
00:31:54,213 --> 00:31:59,016
NARRATOR:
Instruments relay
7,500 measurements per second.
670
00:31:59,018 --> 00:32:01,318
IVERSON:
We're going to have something
like 70 electronic sensors
671
00:32:01,320 --> 00:32:03,887
deployed in each one
of these experiments,
672
00:32:03,889 --> 00:32:05,422
and some of those
will be measuring
673
00:32:05,424 --> 00:32:07,457
deformation of the slope
internally
674
00:32:07,459 --> 00:32:08,892
as it begins to creep and fail,
675
00:32:08,894 --> 00:32:11,395
and others will be measuring
the water pressure,
676
00:32:11,397 --> 00:32:13,497
some will be measuring
the surface displacement,
677
00:32:13,499 --> 00:32:17,634
so it's really quite a chaos of
cables when we run one of these.
678
00:32:17,636 --> 00:32:21,605
NARRATOR:
This is one instance where
"failure" means "success."
679
00:32:26,278 --> 00:32:30,147
92 minutes after applying
five inches of simulated rain,
680
00:32:30,149 --> 00:32:32,516
the solid slope liquefies.
681
00:32:32,518 --> 00:32:34,217
IVERSON:
We've learned a great deal
682
00:32:34,219 --> 00:32:36,720
from being able to witness these
things hundreds of times over
683
00:32:36,722 --> 00:32:38,322
in our flume.
684
00:32:38,324 --> 00:32:40,958
There's really no substitute
for seeing things firsthand
685
00:32:40,960 --> 00:32:42,693
to spur your thinking
686
00:32:42,695 --> 00:32:45,462
and make you understand
on an intuitive level
687
00:32:45,464 --> 00:32:47,831
things that are otherwise
quite abstract
688
00:32:47,833 --> 00:32:50,334
in the way of physical concepts.
689
00:32:50,336 --> 00:32:52,769
It's a real big part
of doing physics, frankly,
690
00:32:52,771 --> 00:32:54,838
to have a deep intuition
about things
691
00:32:54,840 --> 00:32:56,707
in addition
to simply doing the math.
692
00:32:56,709 --> 00:32:59,142
NARRATOR:
After the first mini slide
of liquid mountain,
693
00:32:59,144 --> 00:33:01,778
Iverson doubles the rainfall
694
00:33:01,780 --> 00:33:05,716
to trigger an even bigger
landslide.
695
00:33:05,718 --> 00:33:07,884
IVERSON:
First, we had a relatively
shallow slope failure
696
00:33:07,886 --> 00:33:09,753
that's typical
in many mountainous areas.
697
00:33:09,755 --> 00:33:11,188
But then after that,
698
00:33:11,190 --> 00:33:12,856
we continued to add water
to the slope,
699
00:33:12,858 --> 00:33:14,224
eventually triggering
a much deeper-seated failure
700
00:33:14,226 --> 00:33:16,093
where the material liquefied
when it failed,
701
00:33:16,095 --> 00:33:19,730
and then we got a much
larger debris flow mobilizing.
702
00:33:19,732 --> 00:33:20,897
GEOLOGIST:
Here it goes!
703
00:33:20,899 --> 00:33:23,166
NARRATOR:
Heavy rain and porous soil
704
00:33:23,168 --> 00:33:26,837
makes the particles behave
like ball bearings.
705
00:33:26,839 --> 00:33:28,472
They lose their
cohesive strength
706
00:33:28,474 --> 00:33:31,942
and become liquid earth.
707
00:33:31,944 --> 00:33:34,044
IVERSON:
And that, in effect,
is our attempt to simulate
708
00:33:34,046 --> 00:33:36,813
what happens when you have
prolonged rain
709
00:33:36,815 --> 00:33:39,416
that sets the stage
for landsliding.
710
00:33:39,418 --> 00:33:43,920
NARRATOR:
Flume experiments like this one
could help refine models
711
00:33:43,922 --> 00:33:47,724
to predict the length and speed
of future landslides
712
00:33:47,726 --> 00:33:49,993
and even guide
search-and-recovery teams.
713
00:33:52,031 --> 00:33:56,266
The immense area affected
by the Oso landslide
714
00:33:56,268 --> 00:33:58,735
requires an extraordinary
effort.
715
00:33:58,737 --> 00:34:01,838
More than 900 people
were involved,
716
00:34:01,840 --> 00:34:06,343
many working alongside
123 rescue dog teams
717
00:34:06,345 --> 00:34:08,311
to recover those presumed dead,
718
00:34:08,313 --> 00:34:13,583
sifting through every inch
of the one-square-mile mudscape.
719
00:34:13,585 --> 00:34:18,021
BOB VANDER YACHT:
There are still seven humans
that have not been located.
720
00:34:18,023 --> 00:34:20,090
There's not
a worker out there
721
00:34:20,092 --> 00:34:22,492
that is going to want to stop
doing a search
722
00:34:22,494 --> 00:34:23,960
until they've found
everybody.
723
00:34:23,962 --> 00:34:26,430
BROOK ALONGI:
At this point,
it's not everybody
724
00:34:26,432 --> 00:34:27,330
on their hands and knees,
725
00:34:27,332 --> 00:34:28,765
digging through the mud
and the sticks.
726
00:34:28,767 --> 00:34:32,836
NARRATOR:
Search zones are delineated,
like an archaeological dig.
727
00:34:32,838 --> 00:34:34,871
VANDER YACHT:
The efforts are very meticulous.
728
00:34:34,873 --> 00:34:36,640
They're using a grid pattern.
729
00:34:36,642 --> 00:34:40,977
It has an excavator
with an operator,
730
00:34:40,979 --> 00:34:44,648
dog teams, spotters.
731
00:34:44,650 --> 00:34:47,217
ALONGI:
And when they pick it up,
they don't just drop it;
732
00:34:47,219 --> 00:34:48,552
they gently drop a little bit
733
00:34:48,554 --> 00:34:50,754
and we watch every little thing
that falls out.
734
00:34:50,756 --> 00:34:55,659
NARRATOR:
It's a fine-tuned protocol
using proven search tactics.
735
00:34:55,661 --> 00:34:58,261
ALONGI:
In the areas that I was
searching in,
736
00:34:58,263 --> 00:35:02,666
most of the two-by-fours were
reduced to pieces this big.
737
00:35:02,668 --> 00:35:05,235
And then you find a couch
that's in a million pieces,
738
00:35:05,237 --> 00:35:07,771
and then you find a tractor
that's broken in half.
739
00:35:07,773 --> 00:35:10,207
Trucks were ripped into five,
six pieces.
740
00:35:10,209 --> 00:35:11,408
Diesel trucks!
741
00:35:11,410 --> 00:35:15,078
So you can imagine
what that did to people, right?
742
00:35:17,850 --> 00:35:21,618
NARRATOR:
Many residents in Oso
believed they were safe,
743
00:35:21,620 --> 00:35:25,155
unaware that a landslide there
could go so far.
744
00:35:25,157 --> 00:35:30,560
The last landslide here,
in 2006, stopped at the river,
745
00:35:30,562 --> 00:35:33,130
but in steeper terrain
like Nepal,
746
00:35:33,132 --> 00:35:36,433
landslides are
an even more common occurrence.
747
00:35:36,435 --> 00:35:39,236
The world's most
landslide-prone roads
748
00:35:39,238 --> 00:35:42,606
wind their way through
Earth's highest mountains.
749
00:35:42,608 --> 00:35:44,908
Annual monsoons and earthquakes
750
00:35:44,910 --> 00:35:47,110
bring mountainsides
crashing down
751
00:35:47,112 --> 00:35:49,146
with devastating results.
752
00:35:49,148 --> 00:35:53,750
Nearly one-third of the world's
landslide-related deaths
753
00:35:53,752 --> 00:35:56,887
happen in the Himalayas,
where, in 2007,
754
00:35:56,889 --> 00:36:00,590
falling earth killed
a thousand people.
755
00:36:00,592 --> 00:36:04,895
In Nepal, 29 million people
are at imminent risk.
756
00:36:04,897 --> 00:36:06,963
RANJAN KUMAR DAHAL:
757
00:36:19,244 --> 00:36:21,811
NARRATOR:
Geologist Ranjan Kumar Dahal
758
00:36:21,813 --> 00:36:25,749
is investigating the impact
of human activity on landslides.
759
00:36:25,751 --> 00:36:31,354
Many Himalayan roads are cut
into the base of hillsides.
760
00:36:31,356 --> 00:36:34,791
When the slopes above them fail,
the road is blocked.
761
00:36:34,793 --> 00:36:37,761
Villages are cut off
from the world.
762
00:36:37,763 --> 00:36:40,630
Homes are often built
on the site of past landslides.
763
00:36:44,736 --> 00:36:48,471
NARRATOR:
Terraces cut into previous
landslides,
764
00:36:48,473 --> 00:36:51,341
and heavy crops,
like water-rich rice,
765
00:36:51,343 --> 00:36:53,076
destabilize the slopes.
766
00:37:05,123 --> 00:37:09,092
NARRATOR:
It's a system that is a recipe
for disaster.
767
00:37:09,094 --> 00:37:11,161
Homes are destroyed
768
00:37:11,163 --> 00:37:13,830
when the saturated terrain
fails around them.
769
00:37:13,832 --> 00:37:15,398
Ranjan travels up
770
00:37:15,400 --> 00:37:19,236
one of the most
landslide-prone roads in Nepal
771
00:37:19,238 --> 00:37:21,404
to search for signs of villages
at risk.
772
00:37:28,981 --> 00:37:31,248
He visits families
to raise awareness
773
00:37:31,250 --> 00:37:35,085
so they will know
when to evacuate.
774
00:37:35,087 --> 00:37:38,521
He's developed a simple model
to educate his people
775
00:37:38,523 --> 00:37:42,225
so they can read the signs
of an impending landslide:
776
00:37:42,227 --> 00:37:44,828
fragile soil cover,
cracks in the earth,
777
00:37:44,830 --> 00:37:49,199
slumping land, and small slides
that grow over time.
778
00:37:49,201 --> 00:37:53,270
His main concern is that
a massive landslide will follow
779
00:37:53,272 --> 00:37:56,373
when the next big earthquake
occurs.
780
00:38:12,758 --> 00:38:15,625
NARRATOR:
Rivers and roads do great damage
781
00:38:15,627 --> 00:38:20,997
because they cut into already
unstable slopes.
782
00:38:20,999 --> 00:38:23,867
Ranjan monitors Nepal's highways
and remote roads,
783
00:38:23,869 --> 00:38:26,436
looking for signs
of slope failure.
784
00:38:37,716 --> 00:38:39,316
NARRATOR:
With each monsoon,
785
00:38:39,318 --> 00:38:42,485
slopes slough their materials
onto the roads below.
786
00:38:45,090 --> 00:38:49,025
Constant vigilance is critical,
787
00:38:49,027 --> 00:38:51,995
but Nepal, one of the poorest
nations in the world,
788
00:38:51,997 --> 00:38:54,531
can only put a Band-Aid
on the problem.
789
00:39:07,946 --> 00:39:11,648
NARRATOR:
Bioengineering with rocks can be
effective for shallow slides,
790
00:39:11,650 --> 00:39:13,717
but for deep ones like this,
791
00:39:13,719 --> 00:39:16,786
gabions won't hold
the hill back.
792
00:39:38,043 --> 00:39:40,710
NARRATOR:
In a country
where trails and roads
793
00:39:40,712 --> 00:39:43,046
are carved from mountains
by hand,
794
00:39:43,048 --> 00:39:45,048
there's little funding
to protect people
795
00:39:45,050 --> 00:39:47,450
from natural hazards.
796
00:39:47,452 --> 00:39:51,888
Yet the construction
of new roads continues on,
797
00:39:51,890 --> 00:39:53,823
without landslide planning.
798
00:40:03,568 --> 00:40:07,604
NARRATOR:
Two months after Ranjan's
prediction,
799
00:40:07,606 --> 00:40:11,975
in the heart of the monsoon,
a well-known unstable slope
800
00:40:11,977 --> 00:40:14,611
turned into a rapid,
deep landslide
801
00:40:14,613 --> 00:40:17,747
and buried Nepal's
major highway to Tibet.
802
00:40:17,749 --> 00:40:23,720
It dammed the Sun Kosi River
and killed about 150 people.
803
00:40:23,722 --> 00:40:25,588
There were very few survivors.
804
00:40:25,590 --> 00:40:28,458
People around the world
805
00:40:28,460 --> 00:40:30,994
share in the tragedy
brought about by landslides.
806
00:40:34,166 --> 00:40:39,235
In the first hours
after the Oso landslide,
807
00:40:39,237 --> 00:40:42,772
11 people are rescued
from the debris field,
808
00:40:42,774 --> 00:40:45,608
all far from their homes.
809
00:40:45,610 --> 00:40:47,043
911 OPERATOR:
Are there any injuries?
810
00:40:47,045 --> 00:40:49,345
FEMALE CALLER:
Yes, there are people
yelling for help!
811
00:40:49,347 --> 00:40:50,747
JUPP:
And we could hear screaming,
812
00:40:50,749 --> 00:40:53,550
and I said, "There is somebody
screaming over there,
813
00:40:53,552 --> 00:40:55,051
and it sounds like a baby."
814
00:40:55,053 --> 00:40:57,654
FIREFIGHTER:
A woman with a baby.
815
00:40:57,656 --> 00:40:59,456
JUPP:
Oh my god!
816
00:40:59,458 --> 00:41:02,826
BLANKENSHIP:
When we heard the baby cry,
it changed the thought process.
817
00:41:02,828 --> 00:41:07,797
That just sped everything up
a little bit.
818
00:41:07,799 --> 00:41:11,801
I held onto that baby like that
was the only purpose that I had.
819
00:41:11,803 --> 00:41:14,938
NARRATOR:
Minutes after the landslide
struck,
820
00:41:14,940 --> 00:41:18,908
firefighters and EMTs arrive,
but the quicksand-like mud
821
00:41:18,910 --> 00:41:22,545
renders ground rescues
nearly impossible.
822
00:41:22,547 --> 00:41:24,280
BLANKENSHIP:
When we initially got out there,
823
00:41:24,282 --> 00:41:27,450
it was almost like a milkshake
or pancake batter.
824
00:41:27,452 --> 00:41:30,320
If you dropped something in it,
it was gone,
825
00:41:30,322 --> 00:41:34,290
and we knew it was four
to five feet deep.
826
00:41:34,292 --> 00:41:40,830
NARRATOR:
Thrown 750 feet from her house
and now stuck on a rubble pile
827
00:41:40,832 --> 00:41:43,233
in the confines
of her crumpled couch,
828
00:41:43,235 --> 00:41:47,971
Amanda Skorjanc clung
to five-month-old Duke
829
00:41:47,973 --> 00:41:51,040
until she heard a sign of hope.
830
00:41:51,042 --> 00:41:53,409
SKORJANC:
As soon as I heard that voice,
I screamed,
831
00:41:53,411 --> 00:41:56,346
and then that caused Duke
to cry.
832
00:41:56,348 --> 00:41:57,580
She was in bad shape,
833
00:41:57,582 --> 00:41:59,782
and I just kept her
talking to me the whole time.
834
00:42:03,288 --> 00:42:05,221
BLANKENSHIP:
I remember asking Steve,
835
00:42:05,223 --> 00:42:07,056
I said, "Steve,
check the baby out."
836
00:42:07,058 --> 00:42:08,591
And next thing I know,
837
00:42:08,593 --> 00:42:11,294
Steve's checking the baby out
and he said, "The baby's fine."
838
00:42:11,296 --> 00:42:14,430
The baby got handed off
and the baby was packed out.
839
00:42:14,432 --> 00:42:15,498
The baby's fine.
840
00:42:15,500 --> 00:42:16,900
ERNIE ZELLERS:
Okay.
841
00:42:16,902 --> 00:42:18,368
BLANKENSHIP:
At that point,
we knew the baby was fine,
842
00:42:18,370 --> 00:42:21,104
and so we're moving on to our
next patient, which was Amanda.
843
00:42:21,106 --> 00:42:26,209
NARRATOR:
Extracting Amanda from her couch
took a chainsaw and many hands.
844
00:42:26,211 --> 00:42:27,877
BLANKENSHIP:
We just started ripping
845
00:42:27,879 --> 00:42:31,414
at the fabric
and the insulation,
846
00:42:31,416 --> 00:42:32,982
got all that off,
847
00:42:32,984 --> 00:42:34,417
and I remember getting
to the wire
848
00:42:34,419 --> 00:42:36,319
from the back of the couch,
849
00:42:36,321 --> 00:42:38,888
and we didn't have a tool
for that,
850
00:42:38,890 --> 00:42:41,491
so four guys just started
pulling on it really hard.
851
00:42:41,493 --> 00:42:45,995
And then we heard,
in the distance, the helicopter.
852
00:42:50,569 --> 00:42:52,335
We all worked together,
853
00:42:52,337 --> 00:42:54,837
and then up, up and away
she went.
854
00:42:56,575 --> 00:42:58,408
NARRATOR:
The search for possible
survivors
855
00:42:58,410 --> 00:43:03,913
who were driving on State Route
530 was grueling,
856
00:43:03,915 --> 00:43:06,583
especially for those who were
at the center of the landslide,
857
00:43:06,585 --> 00:43:08,151
the most powerful point
of impact.
858
00:43:10,555 --> 00:43:11,955
Dayn Brunner's sister, Summer,
859
00:43:11,957 --> 00:43:17,160
was headed west on the highway
when the landslide struck.
860
00:43:17,162 --> 00:43:19,195
BRUNNER:
My sister, she left the house
at 10:30.
861
00:43:19,197 --> 00:43:20,964
That would have put her
right at the worst part
862
00:43:20,966 --> 00:43:23,433
of the slide at 10:45, 10:47.
863
00:43:23,435 --> 00:43:27,437
My mom called me that morning.
864
00:43:27,439 --> 00:43:29,005
She goes, "Well, what's going on
with the highway?"
865
00:43:29,007 --> 00:43:30,239
And I said, "All we know is
866
00:43:30,241 --> 00:43:32,575
there's a mudslide
down by Skaglund Hill,"
867
00:43:32,577 --> 00:43:34,577
and she goes,
"Summer's in it."
868
00:43:34,579 --> 00:43:36,379
It was just that
mother's intuition,
869
00:43:36,381 --> 00:43:37,747
and she was just adamant
about it.
870
00:43:37,749 --> 00:43:39,282
She said,
"No, Summer is in there.
871
00:43:39,284 --> 00:43:40,917
You need to go get your sister."
872
00:43:43,455 --> 00:43:45,521
And I figured
if she was in her car
873
00:43:45,523 --> 00:43:47,156
and she had an air pocket
or something,
874
00:43:47,158 --> 00:43:48,691
she's waiting for me
to come get her.
875
00:43:51,696 --> 00:43:53,830
Me and my two sons walked in
876
00:43:53,832 --> 00:43:57,367
and we were in there
for almost six hours.
877
00:43:57,369 --> 00:44:00,236
It took us two and a half hours
to walk a half a mile.
878
00:44:00,238 --> 00:44:03,740
You're in mud that's
up to over your waist,
879
00:44:03,742 --> 00:44:06,175
and I'm sinking down.
880
00:44:06,177 --> 00:44:08,878
We're looking through cars.
881
00:44:08,880 --> 00:44:10,813
We walked past four bodies.
882
00:44:10,815 --> 00:44:13,316
Two of them were covered up,
two of them weren't.
883
00:44:13,318 --> 00:44:14,450
It was so eerie.
884
00:44:14,452 --> 00:44:16,019
We could hear moaning,
but we couldn't decipher
885
00:44:16,021 --> 00:44:18,588
if it was a person
that was trapped
886
00:44:18,590 --> 00:44:20,890
or if it was an animal.
887
00:44:20,892 --> 00:44:22,659
I wasn't trying to be selfish
888
00:44:22,661 --> 00:44:24,327
if there were other people
that needed help,
889
00:44:24,329 --> 00:44:26,396
but I was going
to find my sister.
890
00:44:29,567 --> 00:44:32,068
NARRATOR:
What if predicting landslides
were possible
891
00:44:32,070 --> 00:44:35,571
so that roads like this one
could be closed?
892
00:44:35,573 --> 00:44:39,809
That will require a system
of meticulous monitoring
893
00:44:39,811 --> 00:44:42,745
of places likely to slide.
894
00:44:42,747 --> 00:44:46,149
In Switzerland, scientists are
trying to develop technologies
895
00:44:46,151 --> 00:44:48,017
that will save lives.
896
00:44:48,019 --> 00:44:52,755
This device uses radar beams
to measure minuscule movements
897
00:44:52,757 --> 00:44:54,924
of the Earth's surface.
898
00:44:57,362 --> 00:44:59,462
In the Swiss village of Preonzo,
899
00:44:59,464 --> 00:45:02,632
this scar is what remains
of a landslide
900
00:45:02,634 --> 00:45:05,902
physicist Lorenz Meier
was able to predict
901
00:45:05,904 --> 00:45:07,503
right down to the hour.
902
00:45:07,505 --> 00:45:10,506
He uses a system called InSAR
903
00:45:10,508 --> 00:45:13,342
to monitor a mountain
known to be dangerous.
904
00:45:22,320 --> 00:45:25,722
NARRATOR:
Geologists also use lasers,
mirrors and crack meters
905
00:45:25,724 --> 00:45:29,092
to measure the mountain's
movement.
906
00:45:29,094 --> 00:45:31,360
The instruments detect signs
907
00:45:31,362 --> 00:45:33,930
that the slope
will soon give way,
908
00:45:33,932 --> 00:45:36,966
but how can scientists tell
exactly when?
909
00:45:50,949 --> 00:45:52,448
NARRATOR:
The crack meters
910
00:45:52,450 --> 00:45:56,152
measured the growing gaps
between crack walls,
911
00:45:56,154 --> 00:45:58,888
an ominous sign that
the top of the mountain
912
00:45:58,890 --> 00:46:00,656
will soon crash
into the valley below.
913
00:46:00,658 --> 00:46:03,826
Mattia Soldati,
a forestry engineer,
914
00:46:03,828 --> 00:46:05,161
continues to monitor them.
915
00:46:06,898 --> 00:46:11,901
SOLDATI (translated):
We decided to use these
automatic extension meters
916
00:46:11,903 --> 00:46:14,570
to measure the growing gap.
917
00:46:14,572 --> 00:46:16,539
One end of the instrument
is mounted
918
00:46:16,541 --> 00:46:18,141
on the stable side
of the mountain,
919
00:46:18,143 --> 00:46:19,509
the other on the sliding side.
920
00:46:19,511 --> 00:46:21,944
The extending stick
in the middle
921
00:46:21,946 --> 00:46:24,180
provides the measurement
of the growing gap.
922
00:46:28,887 --> 00:46:32,121
MEIER:
923
00:46:32,123 --> 00:46:35,958
NARRATOR:
The laser stopped working
when clouds set in,
924
00:46:35,960 --> 00:46:37,794
another advantage of radar,
925
00:46:37,796 --> 00:46:39,896
which penetrates
through weather.
926
00:46:39,898 --> 00:46:43,366
InSAR allowed Lorenz
to make a precise prediction
927
00:46:43,368 --> 00:46:45,034
because of the refined,
928
00:46:45,036 --> 00:46:47,470
millimeter-accurate measurements
of movement.
929
00:46:47,472 --> 00:46:48,805
MEIER:
930
00:46:50,975 --> 00:46:55,111
NARRATOR:
Lorenz plotted his measurements
onto a digital terrain model
931
00:46:55,113 --> 00:46:57,180
to show the village authorities
932
00:46:57,182 --> 00:47:00,183
just how fast the top
of the mountain was moving.
933
00:47:00,185 --> 00:47:02,518
The growing areas
of red and blue
934
00:47:02,520 --> 00:47:06,155
indicate the top of the slope is
moving not millimeters per day,
935
00:47:06,157 --> 00:47:09,091
but now centimeters per hour.
936
00:47:09,093 --> 00:47:11,527
The whole slope
is about to fail.
937
00:47:11,529 --> 00:47:12,495
MEIER:
938
00:47:21,906 --> 00:47:26,509
NARRATOR:
In the early morning hours
on May 15, 2012,
939
00:47:26,511 --> 00:47:29,378
precisely when Lorenz
and his team predicted,
940
00:47:29,380 --> 00:47:33,049
the slope at Preonzo collapsed.
941
00:47:33,051 --> 00:47:34,984
(rumbling)
942
00:47:39,290 --> 00:47:41,290
MEIER:
943
00:47:47,632 --> 00:47:51,901
NARRATOR:
300,000 cubic meters of mountain
944
00:47:51,903 --> 00:47:54,604
crashed 1,000 meters
down the slope.
945
00:47:54,606 --> 00:47:57,073
No one was hurt,
the highway was closed,
946
00:47:57,075 --> 00:47:59,709
and no buildings were affected.
947
00:47:59,711 --> 00:48:03,279
The Swiss predicted
the landslide in Preonzo,
948
00:48:03,281 --> 00:48:07,450
but they can't monitor
every slope.
949
00:48:07,452 --> 00:48:09,719
Roads and railways
are particularly at risk
950
00:48:09,721 --> 00:48:12,955
in high mountain valleys.
951
00:48:12,957 --> 00:48:18,227
In late summer 2014, a train car
plunged into a ravine,
952
00:48:18,229 --> 00:48:20,463
and others were left hanging
from the rails
953
00:48:20,465 --> 00:48:22,932
as a result of a landslide.
954
00:48:22,934 --> 00:48:27,003
At Val Parghera,
another high Swiss valley,
955
00:48:27,005 --> 00:48:30,873
radar has determined a shallower
landslide is moving slowly,
956
00:48:30,875 --> 00:48:32,975
but constantly.
957
00:48:32,977 --> 00:48:35,211
Lorenz has set up
a timelapse camera
958
00:48:35,213 --> 00:48:37,580
to document a year's worth
of earth
959
00:48:37,582 --> 00:48:40,182
creeping down the mountain.
960
00:48:45,556 --> 00:48:47,456
An alarm system is in place
961
00:48:47,458 --> 00:48:50,760
in the event rain causes
dangerously high debris flows
962
00:48:50,762 --> 00:48:52,929
into the valley.
963
00:49:03,408 --> 00:49:05,508
NARRATOR:
Over the last 30 years
in Switzerland,
964
00:49:05,510 --> 00:49:08,277
landslides, not uncommon,
965
00:49:08,279 --> 00:49:12,381
have caused a death toll
of just one person per year.
966
00:49:12,383 --> 00:49:14,116
Close monitoring of every slope
967
00:49:14,118 --> 00:49:17,520
in the world's mountainous areas
is impossible,
968
00:49:17,522 --> 00:49:21,157
but bringing potential hazards
to light,
969
00:49:21,159 --> 00:49:24,026
like the dangerous slope in Oso,
is clearly needed.
970
00:49:24,028 --> 00:49:26,595
MONTGOMERY:
The evidence for large
landslides
971
00:49:26,597 --> 00:49:28,164
that could run across the valley
972
00:49:28,166 --> 00:49:29,999
was there in the Lidar data.
973
00:49:30,001 --> 00:49:35,004
But just because you have data
that shows you something
974
00:49:35,006 --> 00:49:36,906
doesn't mean anybody's
looked at it, processed it,
975
00:49:36,908 --> 00:49:38,607
or the information
has gotten out to people
976
00:49:38,609 --> 00:49:40,743
who might need to
or want to know it.
977
00:49:40,745 --> 00:49:43,412
We need to understand these
failures as well as possible
978
00:49:43,414 --> 00:49:46,215
with all the tools and tricks
and models in our trade
979
00:49:46,217 --> 00:49:47,650
and get that kind of information
980
00:49:47,652 --> 00:49:50,019
out to the people
who could actually use it:
981
00:49:50,021 --> 00:49:52,355
the homeowners who may be making
decisions about where to live,
982
00:49:52,357 --> 00:49:54,657
the agencies who may be making
decisions
983
00:49:54,659 --> 00:49:57,293
about where to permit different
kinds of development,
984
00:49:57,295 --> 00:49:59,228
where to place highways.
985
00:49:59,230 --> 00:50:03,466
NARRATOR:
Five days after
the Oso landslide,
986
00:50:03,468 --> 00:50:07,336
Dayn Brunner and his family
finally reached closure
987
00:50:07,338 --> 00:50:10,473
in their search
for his sister, Summer.
988
00:50:10,475 --> 00:50:12,708
BRUNNER:
I got a call from my sister's
best friend,
989
00:50:12,710 --> 00:50:14,877
and she goes,
"We've found Summer's car."
990
00:50:17,548 --> 00:50:18,948
I grabbed my son.
991
00:50:18,950 --> 00:50:20,516
(crying)
992
00:50:20,518 --> 00:50:23,252
I said,
"Are you ready for this?"
993
00:50:23,254 --> 00:50:26,422
And he goes, "Dad, I've been
ready for five days.
994
00:50:26,424 --> 00:50:29,191
Let's go get her."
995
00:50:29,193 --> 00:50:32,361
By the time we got there,
there was 15 people digging.
996
00:50:32,363 --> 00:50:34,930
Her face, neck up, was exposed,
997
00:50:34,932 --> 00:50:39,135
and we spent the next
hour and a half digging by hand.
998
00:50:39,137 --> 00:50:40,836
When we were ready
to pull her out,
999
00:50:40,838 --> 00:50:44,206
I just reached down
and wrapped my arms around her,
1000
00:50:44,208 --> 00:50:47,343
around her upper body,
and two guys were on her legs,
1001
00:50:47,345 --> 00:50:49,779
and I pulled up
and they pulled up,
1002
00:50:49,781 --> 00:50:52,581
and we pulled her out
and put her on her tarp,
1003
00:50:52,583 --> 00:50:58,287
and they just let you
as a family say your goodbyes.
1004
00:50:58,289 --> 00:50:59,855
She was in pretty good shape,
1005
00:50:59,857 --> 00:51:02,158
because I had seen
about 15 bodies come out
1006
00:51:02,160 --> 00:51:04,126
and they were horrible-looking.
1007
00:51:04,128 --> 00:51:05,561
They had suffered suffocation
1008
00:51:05,563 --> 00:51:06,896
and other various kinds
of death,
1009
00:51:06,898 --> 00:51:09,498
but she was whole,
and in fact, her hands
1010
00:51:09,500 --> 00:51:11,901
were still on the steering wheel
when they found her.
1011
00:51:11,903 --> 00:51:13,669
Her foot was on the gas pedal,
1012
00:51:13,671 --> 00:51:15,838
and she was sitting
strapped in her seat.
1013
00:51:15,840 --> 00:51:20,676
The ME's office said that she
had died from percussion trauma,
1014
00:51:20,678 --> 00:51:23,245
so it was the sound waves
hitting her car,
1015
00:51:23,247 --> 00:51:25,481
basically blowing
all the glass out,
1016
00:51:25,483 --> 00:51:27,750
blew the roof off of her car,
the trunk lid, the hood,
1017
00:51:27,752 --> 00:51:29,485
but her car,
it didn't keep her alive,
1018
00:51:29,487 --> 00:51:31,287
but it kept her in one piece.
1019
00:51:31,289 --> 00:51:35,624
If there's any comfort to it
at all, she didn't suffer.
1020
00:51:35,626 --> 00:51:37,126
She never saw it comin'.
1021
00:51:41,732 --> 00:51:43,999
NARRATOR:
Summer was number 17
of the 43 people
1022
00:51:44,001 --> 00:51:46,035
that have all now been recovered
1023
00:51:46,037 --> 00:51:50,039
from beneath the one-square-mile
stretch of liquid earth.
1024
00:51:51,542 --> 00:51:54,810
The devastation at Oso
is a wake-up call
1025
00:51:54,812 --> 00:51:57,580
to the urgency of identifying
hazardous slopes,
1026
00:51:57,582 --> 00:52:01,350
because the more we understand
their unique physics
1027
00:52:01,352 --> 00:52:03,285
and exactly
when they might slide,
1028
00:52:03,287 --> 00:52:05,354
the more we'll be able
to protect ourselves
1029
00:52:05,356 --> 00:52:10,359
against one of nature's
most powerful forces.
1030
00:52:10,361 --> 00:52:11,994
You could wish that it would
have happened
1031
00:52:11,996 --> 00:52:12,995
on a Friday morning
1032
00:52:12,997 --> 00:52:15,131
where everybody
would have been at work
1033
00:52:15,133 --> 00:52:17,566
and the fatality count
would have been way down.
1034
00:52:17,568 --> 00:52:20,236
But, you know, it's nature.
1035
00:52:20,238 --> 00:52:22,438
Nature runs its course.
1036
00:52:44,996 --> 00:52:48,230
Captioned by
Media Access Group at WGBH
That's o access.wgbh.orgr man...
1037
00:52:57,542 --> 00:53:00,609
This NOVA program
is available on DVD.
1038
00:53:00,611 --> 00:53:06,015
To order, visit shopPBS.org,
or call 1-800-PLAY-PBS.
1039
00:53:06,017 --> 00:53:08,484
NOVA is also available
for download on iTunes.
94853
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