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After 43 years of repose, Taal Volcano erupted on 12 January 2020 forming hazardous base surges. Using field, remote sensing (i.e. UAV and LiDAR), and numerical methods, we gathered primary data to generate well-constrained observed information on dune bedform characteristics, impact dynamic pressures and velocities of base surges. This is to advance our knowledge on this type of hazard to understand and evaluate its consequences and risks. The dilute and wet surges traveled at 50-60 ms −1 near the crater rim and decelerated before making impact on coastal communities with dynamic pressures of at least 1.7 kPa. The base surges killed more than a thousand livestock in the southeast of Taal Volcano Island, and then traveled another ~ 600 m offshore. This work is a rare document of a complete, fresh, and practically undisturbed base surge deposit, important in the study of dune deposits formed by volcanic and other processes on Earth and other planets.
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Hazardous base surges of Taal’s
2020 eruption
A. M. F. Lagmay1,2*, M. I. R. Balangue‑Tarriela1, M. Aurelio1, R. Ybanez1, A. Bonus‑Ybanez2,
J. Sulapas1,2, C. Baldago1, D. M. Sarmiento1, H. Cabria3, R. Rodolfo3,4, D. J. Rafael1,
J. R. Trinidad1, E. Obille Jr.5 & N. Rosell II3
After 43 years of repose, Taal Volcano erupted on 12 January 2020 forming hazardous base surges.
Using eld, remote sensing (i.e. UAV and LiDAR), and numerical methods, we gathered primary data
to generate well‑constrained observed information on dune bedform characteristics, impact dynamic
pressures and velocities of base surges. This is to advance our knowledge on this type of hazard to
understand and evaluate its consequences and risks. The dilute and wet surges traveled at 50‑60 ms−1
near the crater rim and decelerated before making impact on coastal communities with dynamic
pressures of at least 1.7 kPa. The base surges killed more than a thousand livestock in the southeast
of Taal Volcano Island, and then traveled another ~ 600 m oshore. This work is a rare document of
a complete, fresh, and practically undisturbed base surge deposit, important in the study of dune
deposits formed by volcanic and other processes on Earth and other planets.
Aer 43 years of repose, Taal Volcano erupted on 12 January 2020 forming a 17–21-km high plume13 causing
prolonged widespread disruption to the normal daily activities of surrounding populations. Only one death was
directly attributed to the explosive eruption, the body of a person retrieved under a ~ 1.5 m-thick pyroclastic
deposit on the west coast of Taal Volcano Island (TVI). Another man who failed to evacuate from the island is
still missing4. Considering the sudden and explosive nature of Taal Volcanos 2020 eruption that generated base
surges, the number of recorded fatalities could have easily been higher.
Base surges are one of the most lethal and destructive hazards of Taal’s historical eruptions5. Taal Volcanos
1965 eruption was well-documented by J.G. Moore6,7, who aer observations of similar basal ows in nuclear
blasts, coined the word “Base Surge”, a term still used in the volcanological literature and by warning agencies
until today810. Base surges are the dilute, wet, and turbulent end-member of Pyroclastic Density Currents
(PDCs), which are gravity-driven ows generated by the collapse and lateral spreading of hot gas particle-laden
mixtures produced during explosive volcanic eruptions11,12. Base surges form when magma and water interact
during explosive phreatomagmatic eruptions10,1318.
e 1911 eruption of Taal Volcano killed 1,335 people19, whereas the 1965 eruption killed 2006. Other eruptive
events, such as in AD1716, AD1731, AD1749, and AD1754, were also described to produce base surges resulting
in thousands of deaths20. Out of the 34 recorded historical eruptions since AD1572, Taal had six distinct erup-
tions reported to have generated base surges19,20. Here, we report the seventh distinct eruption of Taal Volcano
that generated base surges. Until the time of this writing, there is no verbal account nor published report on the
occurrence of base surges from Taal Volcanos 2020 eruption.
e 2020 base surges were accidentally discovered during an ecological expedition on the barren Taal Volcano
Island (TVI) to search for signs of life (i.e. ora and fauna) and clues on how to make the area productive again21.
ese base surges were mapped in the eld with the aid of satellite and drone technologies. Pre-eruption Light
Detection and Ranging (LiDAR) data and post-eruption drone-generated Digital Terrain Models (DTMs) were
used to measure the thickness and estimate the volume of the latest surge deposits of Taal Volcano. e dune eld
in the southeast sector oers a rare, largely undisturbed, and nearly complete picture of a base surge deposit eld,
which we describe concisely in this article. Oen, these deposits are studied as discontinuous outcrops years aer
an eruptive event (e.g. Maungataketake, New Zealand; Tungurahua, Ecuador; Taal, Philippines), when erosion,
deposition, and vegetation have obliterated or concealed important features that hinder better understanding
of ow emplacement and dynamics2224.
OPEN
UP National Insitute of Geological Sciences, College of Science, University of the Philippines, Diliman, Quezon
City, Philippines. UP Resilience Institute and NOAH Center, University of the Philippines, Diliman, Quezon
City, Metro Manila, Philippines. Agriculture Sustainability Initiatives for Nature, Inc., Diliman, Quezon City,
Philippines. Department of Environmental Science, Ateneo De Manila University, Loyola heights, Quezon City,
Metro Manila, Philippines. National Institute for Science and Mathematics Education Development, University of
the Philippines, Diliman, Quezon City, Philippines. *email: aalagmay@up.edu.ph
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As one of the 16 Decade Volcanoes2527 identied by the International Association of Volcanology and Chem-
istry of the Earth’s Interior (IAVCEI), this work on the Taal Volcano 2020 base surges is of particular importance
because of the destructive nature and proximity of the volcano to densely populated areas. e results can also
be used to compare dune deposits formed by volcanic, and other processes on Earth and other planets2830.
Results
Analysis of time‑series imagery and video analysis. e 12 January 2020 eruption of Taal Vol-
cano generated a vertical volcanic eruption column consisting of a gas thrust (jet phase), a convective, and an
umbrella region31. e gas thrust region rose to ~ 130 meters above the Main Crater (MC) rim and is identied
by the region where ballistic volcanic bombs and laterally moving ows (basal clouds) traveling at 50-60 ms−1 are
observed. In the convective region, ingested air continued to expand the plume reducing its density. is caused
the discharging mixture of hot gas and pyroclasts to rise and form a gray-colored column of billowing clouds
that thickened upward. By around 4:00 pm, a north-driing umbrella cloud is well-formed (Fig.1), which by
8:00 pm reached a height of 17-21 km13 with an E-W diameter of ~ 100 km. e eruption height and umbrella
diameter suggest that the eruption was characterized by mass discharge rates31,32 in the order of 107 kgs−1 equiva-
lent to a Volcanic Explosivity Index (VEI)=4. Intense activity lasted up to about 10 hours and started to wane in
the morning of 13 January 2020 at about 2:49 am when lava fountaining was observed33. Volcanic activity on 13
January 2020 was characterized by a series of discrete, cannon-like explosions34 that were directed towards the
west (see supplementary video).
Thickness and volume. Based on the analysis of pre- and post-2020 eruption DTMs of the southeast sec-
tor of TVI, the base surge deposits of Taal Volcano are thickest on the upper slopes (50–180 m elevation) where
the gradient is on average about 17°. e maximum and average thickness on these slopes are 12 m and 4.7 m,
respectively (Fig.3). In the middle part of the southeast sector (20–80 m elevation), where the average slope
gradient is 13°, the maximum thickness is 11 m whereas the average thickness is 2.6 m. e lower slopes near the
coast (4–26 m elevation), with an average gradient of 8° have the thinnest deposits with a maximum and average
thickness of 5.8 m and 0.9 m, respectively.
e base surge deposits drape dierentially over undulating topography. Deposits are relatively thin at the
crest of hills becoming thicker at their base. is is observed almost everywhere in the dune eld except for an
area where there is a conspicuous topographic bulge at the lower half of the upper-slope section (Fig.3). Upon
closer examination of topographic proles, this sudden change in relief reects the frontal edge of an older pre-
2020 PDC deposit draped by new deposits. In this area, dilute PDC deposits are thick at the top of the old deposit
and abruptly become thin downslope of the bulge. Sudden thinning of the deposit downstream of the bulge may
Figure1. Photographs and screenshots of videos of the 12 January 2020 eruption of Taal. (A) Eruption showing
a lateral basal cloud with an estimated fountain height of 360-370 m. Photo by Johnny Alegre (CC- BY SA4.0).
(B) Umbrella cloud and convective regions. Photo by David Comes Lorenzo. (C) Magnied view of base surges
(dilute and “wet” PDCs) forming in the southeast sector of TVI; (D) Dust covering the southeastern slopes of
TVI. Photos C and D by Andres Alisuag.
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be due to the pre-existing gully that channelled the base surge or air entrainment as the current jumped over the
bulge favoring suspension. In other areas of the lower slopes, base surge deposits become thinner immediately
upon crossing a pre-eruption river channel (Fig.3). e deposit thickens aer a few tens of meters and suddenly
thins out again aer another river channel is crossed in the dendritic drainage network of the southeast ank.
e estimated volume of the base surge deposits on TVI, which cover an area of 6.2 million m2 (Fig.2), is
19 ± 3 million m3 with a Dense Rock Equivalent (DRE)35 of 10 ±1.6 million m3. e thickness of the deposit at
the coast is 0.9 m on average, which indicates that the base surges reached the outer lake. Based on the extent
of base surge dunes in the west, our calculations placed the end of the density current in the southeast sector ~
600 m oshore the village of Calauit (see Fig.2B).
Morphology. Remotely sensed images show the entire TVI covered by light gray tephra. Close-up views
reveal a distinct mottled texture that arises from dune-like forms, typical of base surge deposits6,7. e outlines
of these dunes were delineated manually from the crater rim to the coast of the island on the southeastern and
western slopes. ey are also present in areas in the north but do not extend up to the coast of TVI (Fig.2). ere
are no dunes in the southwest slopes because of the high elevation of the main crater rim in the southwest. e
distribution suggests radial spreading of the base surges as a result of column collapse7 with possible contribu-
tion from discrete “cocktail jets”, “radially-overpressured jets” and “eruption slugs”1315,17,36.
e southeast sector is characterized by a desert-like dune eld (Fig.2) and incised channels from surface
water runo erosion. e larger incised channels or gullies generally follow pre-eruption drainage whereas the
smaller incised channels are mainly controlled by the dune relief. Larger dunes bear erosion marks that resemble
a trellis drainage pattern that connect to smaller incised channels at the base of and in between dunes. ese
smaller incised channels, in turn, connect to larger gullies.
Base surge dunes in the eastern sector of TVI are generally oriented parallel to the southeast crater rim and
are most prominent at mid-slopes. e ratio of dune wave height (0.12–0.80 m) and wavelength (1.1–9.0 m)
scales down towards gentler slopes at low elevations (Fig.3) with wave height decreasing progressively, which
reects waning of the density current. e ratios of wave height to wavelength plot partly within the eld of
base surges (moist PDCs) in pyroclastic dunes studied worldwide37. is eld of moist PDCs in the diagram is
Figure2. Dunes of TVI. (A) General location of Taal Volcano Island. e area within the dashed lines is
the Macolod Corridor, a 40-km-wide ri zone65. (B) Distribution of the 2020 base surge dunes. Circles refer
to upper slope, middle slope, and lower slope boundaries. Areas with dune forms identied through satellite
imagery are in red. Field validation was done in the southeast ank (yellow portion of map). K3 and ASTI
(“Philippine Copyright 2021 by DOST-ASTI”, includes material (c) KARI 2021, Distribution (SI Imaging
Services, Republic of Korea), all rights reserved. (C) Photograph of the dune eld. (D) Digital Surface Model
of school overwhelmed by base surges. Sinuous dunes and runup of the base surge also occur inside the
classrooms. (E) Plan view image of dunes showing elongate and lunate dunes. Bifurcation of dunes is also
shown.
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hereby expanded because of the morphometry of dunes in the mid-slopes and those near the coast, which exhibit
smaller wave height to wavelength ratios.
Dunes are asymmetrical with the stoss side invariably shorter than the lee side (Fig.3). When measured
relative to the horizontal plane, the stoss sides of dunes have gentler slopes compared to their lee sides along
steep slopes of the volcano. Nearer to the coast where the volcano gradient is nearly at, the stoss side is steeper
than the lee side. However, when stoss and lee angles are measured relative to the dip angle of the underlying
slope, steepness of the stoss is always higher than the lee side of dunes. is observation where the underlying
topography aects the measurement angle of the stoss and lee sides has implications to the study of outcrops of
old dune formations produced by dilute PDCs. When not recognized, this may lead to diculties in the inter-
pretation of ow direction and formation mechanisms of bedforms22,24,38.
Dune bedforms are mostly elongated with lengths ranging from 3.9 - 12.6 m and are sinuous or lunate in
planform. e bedforms have a mean length of 5.7 m with a standard deviation of 1.9 m. Lunate dunes22 are domi-
nantly crescent-shaped and concave downstream. ey are commonly found at the lower slopes whereas sinuous
dunes are more abundant at the middle and upper slopes. Occasional bifurcation of dunes was also observed.
Dune bedforms are not readily apparent in the area a few tens of meters from the crater rim but closer examina-
tion in the eld reveals the presence of slight bulges on the surface with underlying cross-bedded structures.
Stratigraphy and componentry. e stratigraphy of the 2020 base surge deposits in southeast TVI is
composed of alternating undulating beds and laminae which are, in general, relatively coarser near the crater
compared to those near the coast (Fig.5). is suggests that the density currents were losing energy and carrying
capacity as they traveled downslope. When foresets and backsets of beds and laminae of non-uniform thickness
connect, they form dunes. Laterally continuous, horizontal planar beds with equal thickness and well-sorted
components are less pervasive. When present, they may indicate the contribution from fall out of pyroclasts. e
presence of accretionary lapili in almost all of the deposits, plastered deposits on vertical walls, as well as abun-
dance of juveniles and accidental clasts, constitute strong evidence that suggests a wet density current formed
from water-magma interaction10.
e pre-2020 eruption topography is marked by the presence of plant debris. Overlying the unconformity is
a poorly sorted 0.2-m bedded tephra deposit dominated by ash-sized pyroclasts. is bed is overlain by cross-
bedded deposits dominated by lapilli-sized lithic and crystal fragments. Some of the tephra layers show grading,
both normal and reverse. e number of irregularly stacked dunes is variable, ranging from 1-4 dune bed forms
of variable sizes with outcrops in the mid-slope having the most number in a stack. In between stacked dunes
are dierential draping beds that ll the trough between laterally adjacent dunes. Laminae composed of poorly-
sorted ner-grained tephra cap the dunes. Overall, there is an increase in the proportion of ne components
in strata towards the top of each outcrop. ese stratied beds and laminae of the surge deposits are believed
by many to have formed from numerous explosions that generate particle-laden density currents that vary in
Figure3. (A) Graph of dune waveheight vs wavelength for subaerial dry and moist pyroclastic ows, eolian,
uvial and aqueous sediment-gravity (epiclastic) ows. Modied from Moorehouse and White (2016) (B)
ickness of surge deposits in the upper, middle, and lower slopes of the southeast sector of TVI. Proles also
show dunes with stoss and lee sides at dierent gradients of underlying slope.
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velocity during transport3842. Lastly, the size-frequency distribution in all sampled beds indicates poor sorting
reective of deposition from a density current. Some beds exhibit a weakly bimodal distribution (Figure4).
Nearly all sections of dunes have cross-bedded structures with dipping planar beds inclined by about 5°–18°
(Fig.5). Foresets and backsets in many sections of dunes are typically truncated by overlying strata and are
interpreted as limbs of earlier-formed dunes that were eroded at their crests by succeeding ows. In the lower
slopes, backsets are steeper than foresets whereas in the proximal to medial areas where the underlying slopes are
steeper, the opposite is observed (see discussion on stoss and lee angles above). ere is aggradation or regression
in the upstream direction and migration of the crest of stacked dunes towards the crater typical of antidunes
(Fig.5C,E,F). However, there were two adjacent outcrops beside a gully where migration of the crest of stacked
dunes is toward the downstream direction (Fig.5D).
Volcanic glass (vitric), lithics, and crystal fragments comprise the base surge beds (Fig.4C). e vitric com-
ponent is commonly light brown to black, translucent, and exhibits blocky, scoriaceous, and uted forms. Bub-
ble wall shards with varying vesicularity were observed in some fractions but with dominance of blocky vitric
components suggestive of a phreatomagmatic eruption origin42. Lithic fragments plucked from the wall rock
or conduit, includesub-rounded rock fragments, oxidized grains, as well as hydrothermal fragments such as
those observed in hydrothermal ore deposits (white to yellow in appearance). Pyrogenic crystal components
(e.g. gypsum, olivine, plagioclase, quartz) consist of euhedral to fragmented free crystals, with some still embed-
ded in glassy groundmass, while hydrothermal minerals (e.g. suldes, quartz) were mostly observed with the
hydrothermal lithics. All samples contain the 3 tephra components, but are generally dominated by volcanic
glass (56%-77%) with varying morphologies. Lithics are composed of 18–26% hydrothermal fragments (e.g
altered volcanic lithics) with an insignicant amount of rock grains. Crystal fragments have the lowest portion
in all the layers (< 25%).
Impacts. Previously vegetated areas in the southeast sector of TVI were reduced to a desert dune eld with
fallen trees, ruptured bamboo, and splintered tree trunks (Fig.6A,B). e unidirectional blowdown was pro-
nounced near large gullies where base surges were funneled. Trees were debarked and sandblasted mainly on the
side facing the main explosion crater with some scorched but not completely turned into charcoal (Fig.6C). is
suggests that these wet surges were at a minimum temperature of 200° C43,44. In this part of the island, regrowth
of trees a year aer the 2020 eruption is not evident.
Figure4. (A) Station 1 (14.002304°, 121.008571° Located at Fig.5D) where samples were collected; (B) Ash
components including vitric, lithic, and crystals (gypsum, olivine, plagioclase, quartz crystals), as well as
secondary quartz and sulde fragments from the mineralized hydrothermal system; (C) Grain size distribution
graph per sampled layer; (D) Accretionary lapilli found in Samples 3 and 4; (E) Relative abundance of the
components of ash per sample.
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Velocity of the base surges near the crater rim is estimated to be ~ 50–60 ms−1 based on video analysis. When
considering the maximum solution with a 16% exceedance probability as a safety value45,46, calculated dynamic
pressures using PYFLOW_2.0 at the upper slopes (1.3 km from the vent) reect values typical of a dilute PDC
that can cause light to moderate building damage47, with values ranging from 3.5 kPa over the rst 2.5 m (typical
height of a 1-storey house) to 5.2 kPa over the deposit height. e calculated velocities at this location show a
maximum of 48 ms−1 over the deposit height, increasing to 57 ms−1 over a height of 2.5 m.
Downstream, a splintered Ceiba pentrada48 in the lower mid-slopes (Fig.6A) and a ruptured bamboo located
beside a gully (Fig.6B) indicate dynamic pressures in excess of 2.1 ± 0.6 kPa and 1.7 ±0.5 kPa44,49, respectively.
eir equivalent velocities are 40 ± 6 ms−1 and 36 ± 6 ms−1 using a minimum shear ow density of 2.7 kgm−3.
Further downslope, PYFLOW_2.0 estimated a maximum velocity of 14 ms−1 near the coast (2.2 km from the
vent). e computed velocities show a decreasing trend from the crater to the coast. ese velocities are con-
sistent with estimates using the energy-line method5052 and show deceleration despite a concave upward slope
prole53 of Taal Volcano.
Buildings along the coast had collapsed roofs made of galvanized iron sheets and were buried by about 1-2
m of base surge deposits. Some areas were plastered by vertically-oriented and bedded muddy coating (Fig.6D).
Scattered ballistic projectiles, mainly composed of scoria bombs and minor altered lithic fragments, are found
on the surface of the surge deposit eld. ey range from lapilli- to block-sized clasts with scoria bombs decreas-
ing in size towards the coast. Multiple base surge ows impacted the community based on evidence of stacked
dune bedforms. Temperatures were also signicantly high to scorch trees in the community and can be lethal.
Lastly, even at low temperatures and dynamic pressures, prolonged exposure to inhalable hot ne ash reduces
the chance of survival54.
Discussion
Base surges are considered as a main hazard of Taal Volcano. Mobile and water vapor-rich, they can travel at
velocities greater than 30 ms−1 and bury everything in their path7,8. is work provides primary data and observed
information, useful to advance our understanding of base surges and evaluating consequences and risks of such
eruptions17,55.
e 17–21 km-high phreatomagmatic eruption of Taal in 2020 has equivalent mass discharge rates in the
order of 107 kgs−1 with VEI=4. Base surges spread radially on the island from fountain collapse heights31 of ~
360-370 m based on detailed analysis of photographs. A total base surge volume of 19 ±3 million m3 was depos-
ited on the island beginning late aernoon, which most likely continued for another 10 hours based on peak
Figure5. Stratigraphy of dierent dune bedforms in the southeast sector of TVI showing foresets, backsets,
erosional features, curved surfaces, and ballistic fragments on the surface. See locations designated by letters
AF.
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activity as reviewed from ocial bulletins and seismic records. Topographic lows in the southeast and west of
the MC rim allowed base surges to reach coastal areas extending ~ 600 m oshore the village of Calauit in the
southeast sector of TVI.
A total of 480 families in Calauit were lucky to have evacuated the village hours before it was completely
overwhelmed by lethal and destructive base surges. Unfortunately there was not enough lead time to evacuate
480 cattle, 270 horses, 70 carabaos, 276 goats, and more than a thousand swine and poultry56. All were declared
in the livestock mortality report submitted to the Department of Agriculture.
Dunes characterize the base surge deposits on TVI. ese elongated and sinuous mounds are perpendicular
to sub-perpendicular to the direction of the density current as checked against the orientation of the blowdown
of trees. Wave height to wavelength ratios of dunes partially plot in the moist PDC eld of those studied world-
wide. e unique morphometry of dunes in the mid-slopes and those nearer the coast, exhibiting smaller wave
height to wavelength ratios, extends the eld of moist PDCs. Dune proles exhibit both progressive and regres-
sive migration of dune crests, eroded foresets and backsets, cross stratication, pinch and swell draping, and
other sedimentary structures that provide a rich source of information that can contribute to the discussions on
the ow regime and emplacement of pyroclastic density currents based on bedform characteristics2224,39,44,5760.
Dynamic pressure and velocity estimates based on video analysis, numerical simulations, and impact calcu-
lations for broken and splintered Ceiba pentrada48 and ruptured bamboo, show a decreasing trend from 50–60
ms−1 from the crater to 48 ms−1 in the upper middle slopes to 36–40 ms−1 near the gullies of lower slopes to
14 ms−1 near the coast. Structural impacts of these dynamic pressures on the village of Calauit were enough to
destroy windows but not topple the walls of 1-storey buildings made of reinforced (steel bars) concrete walls.
e sequence of deposits suggests that the roof of houses collapsed due to tephra accumulation prior to the
arrival of base surges. Lastly, computed velocities are generally consistent with estimates using the energy line
model5052 and the base surges decelerated from the crater rim to the coast (Figure7). is is inconsistent with
the models expected for a volcano with a concave upward slope prole like Taal Volcano, where acceleration is
rst to be expected before deceleration53.
Figure6. Photos of the eect of base surges on the southeast portion of TVI. (A) Snapped and splintered
tree trunk of Ceiba pentrada with trunk diameter ~ 0.5 m; (B) Ruptured bamboo (Culm diameter = 12 cm);
(C) Scorched and debarked tree on the side facing the crater; (D) Base surge deposit run-up against school
wall facing the crater. Inset photo shows plastered base surge deposits. is unique feature of pasty materials
persistently sticking on walls is proposed to be called “ludite”.
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Methodology
Review of images and videos. Hundreds of photos taken by residents around Taal Lake, weekend tourists
and passengers of commercial airplanes were reviewed to determine the type of eruption that took place on 12
January 2020 and 13 January 2020. Time-lapse videos taken by the authors on 13 January from Tagaytay, north
of TVI, were also reviewed. Analysis of the photos include the delineation of low areas of the MCL crater rim and
possible overow by PDCs above the rim. e fountain collapse height,
Hf
, was measured from photographs to
be around 130 m high from the eastern ridge of the TVI. We added the 235-m depth of the crater oor, which is
4 m above sea level, to come up with an
Hf
range of 360–370 m that accounts for inaccuracies in estimation. is
estimate is consistent with the expected range of fountain collapse heights according to Sparks (1997)31 given a
discharge rate that corresponds to the 17–21 km plume height13 of Taal Volcanos 2020 eruption.
Available LiDAR DTMs for the whole island was used to delineate the pre-2020 topography of TVI61 and
for the thickness analysis of newly-formed base surge deposits. e DTMs were also used to measure the dune
dimensions.
Field work and sample collection. Field surveys were conducted on January 30 and February 13, 2021, a
little over a year aer the eruption of Taal Volcano. Targeted areas in the 2-day eldwork of the southeast portion
of TVI were based on the analysis of photographs and remotely sensed imagery. Tephra was sampled in-situ in
dierent areas of the survey site using a container with xed volume. ese samples were then weighed in the
laboratory for calculation of the bulk density of the base surge deposit, which was in turn used for the conversion
of the base surge tephra volume estimate to DRE volume using the following equation:
where magma density used is 2700 kgm−3 (basaltic andesite magma), and tephra density is 1,425 kgm−3.
Descriptions of the tephra stratigraphy were conducted along exposures in rills (
1 m deep) and gullies (3–7
m deep) at the southeast ank of the volcano. Sections were scraped to expose the stratigraphy. Dunes were also
scraped perpendicular to the elongation axis of mounds to expose internal structures.
Grain size and componentry analysis. At least 500 g to 1 kg of samples were collected per layer in the
eld to determine the size distribution of ash from individual layers. Grain size analyses were conducted with
manual sieving. Cone and quartered samples were dried overnight at 60C to eliminate moisture. Sieving was
performed using U.S.A. Standard Test Sieves ASTM E-11-2062 in the National Institute of Geological Sciences,
University of the Philippines. Lithic, crystal, and vitric components were identied and described using a ster-
eomicroscope, counting at least 1200 grains per sample.
DEMs from Drones. A DJI Mavic Pro unmanned-aerial-vehicle (UAV) was used to obtain aerial imagery of
parts of the southeastern sector of TVI. Selected regions of interest in the southeast sector were pre-programmed
for mission ight paths covering areas of interest such as drainage, base surge dunes, and communities believed
to have been ovewhelmed by dilute PDCs. Sequential photos along the ight path were collected with 60% over-
lap to generate orthomosaic images, point-clouds, and DSMs.
Estimates of dynamic pressure and velocities. Dynamic pressures for the broken and splintered Ceiba
pentrada (r = 25 cm,
σult
= 29,600 kPa48,
ho
= 25 m) and the ruptured bamboo (r = 6 cm,
σult
= 150,600 kPa63,
ho
= 15 m) were calculated using the following49:
(1)
DRE
=
Tephra Volume
Tephra Density
Magma Density
Figure7. Projection of energy line model along the southeast prole of Taal Volcano Island where observation
and calculation points for velocity are located from the vent center to the projected maximum runout distance.
Velocities calculated using dierent methods (vC) and velocities calculated using the energy line model (vEL)
for each of the four observation points are shown. (A) Location of southeast prole and observation points. (B)
Image from timelapse video at 36 seconds showing 500–600 m open area within the southeast inner crater. (C)
Image from time-lapse video at 46 seconds showing the area from B being covered by a moving base surge.
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www.nature.com/scientificreports/
where
Pdyn
is the dynamic pressure, r is the radius of the tree,
σult
is the yield strength,
CD
(1.1) is the coecient
of drag, and
ho
is the estimated height of the trees.
Probability density functions of ow properties and impact parameters (e.g. velocity, density, dynamic pres-
sure, rate and time of deposition) were solved based on the grain size and componentry analysis at two of the
sampled outcrops (Station 1: 14.002304°, 121.008571° and Station 2: 13.99353°, 121.0119°) using PYFLOW_2.064.
e program reports the average (corresponding to 50th percentile), minimum (16th percentile), and maximum
(84th percentile) solutions of each uid dynamic variable. Values reported at specic heights are the maximum
solutions with a 16% exceedance probability, considered here as a “maximum safety” value45,46. Using the dynamic
pressures previously calculated and a minimum shear ow density of 2.7 kgm−3 computed by PYFLOW_2.0 at
Station 2, the ow velocities at the location of the Ceiba pentrada and the ruptured bamboo were calculated with:
where
is the density and v is the velocity.
Energy‑line velocities. e mobility ratio (H/L) was calculated based on the observed collapse height (H
= 360 m) from the time-lapse video whereas the run-out distance (L = 2,858 m) was measured from the center
of the vent to the farthest extent of the dunes observed towards the coast. e resulting mobility ratio was plot-
ted on a log-normal relationship showing the PDC‘s volume and mobility with 95% condence and prediction
limits50.
e maximum potential velocity of PDCs (Eq.4)5052 was derived based on the projected energy line model
from the eruptive center of TVI.
where v is the velocity, g is the acceleration due to gravity and h is the vertical distance between energy line and
the ground surface. Points where velocity was observed or calculated using other methods were then plotted
along the energy line prole to compare the resulting potential velocities from the energy line model (Fig.7).
Limitations. Only deposits in the southeastern areas of TVI are described in this paper with what can be
accomplished in the span of two days of eldwork with Alert Level 1 (Abnormal) hoisted over the entire Taal
Volcano Island and Covid-19 modied quarantine restrictions still in place.
Data availability
e datasets used and analysed in this study are available on Google Drive at https:// tinyu rl. com/ z74us c32. Use
of the datasets can be cited as follows: “Lagmay etal., 2021 (this paper)”. e pre-eruption LiDAR DEM is openly
available on DOST-Project NOAHs Phil-LiDAR online portal: https:// phill idar- dad. github. io/ taal- open- lidar.
html.
Received: 2 April 2021; Accepted: 15 July 2021
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Acknowledgements
e authors would like to thank the First Asia Institute of Technology and Humanities (FAITH) Colleges, FAITH
Botanic Gardens Foundation (FBGF), and the local government units of Balete, Batangas for collaborating and
facilitating access to the southeast sector of Taal Volcano Island. is work was funded by the University of the
Philippines System through the UP Resilience Institute project “Pandemics, Compound Disasters, and Other
Complex Emergencies” and the UP National Institute of Geological Sciences. We would also like to thank Car-
mille Marie Escape for assisting in digitizing grains for measurement, and the eight brave souls who retrieved a
crashed drone containing invaluable ight data.
Author contributions
All authors participated in the eld investigation and writing the manuscirpt.
Competing interests
e authors declare no competing interests.
Additional information
Supplementary Information e online version contains supplementary material available at https:// doi. org/
10. 1038/ s41598- 021- 94866-2.
Correspondence and requests for materials should be addressed to A.M.F.L.
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... frontiersin.org the initial reports of the phreatomagmatic nature of the event starting at 4:00 p.m. (Balangue-Tarriela et al., 2022). Stratigraphic and component analyses of deposits collected during fieldwork on TVI, conducted a year after the January 2020 eruption, provide confirmation of the sequence of events starting from the phreatic nature of the first few hours of the event (Lagmay et al., 2021). The event that escalated and transitioned to a phreatomagmatic eruption in the late afternoon, developed an ash column attaining the heights of 10-15 km. ...
... The event that escalated and transitioned to a phreatomagmatic eruption in the late afternoon, developed an ash column attaining the heights of 10-15 km. Based on the review and analysis of crowd-sourced images and videos, the maximum height reached was between 17 and 21 km by 8:00 p.m. (Lagmay et al., 2021). The eruption produced deposits described as base surges, which formed a field of pyroclastic dunes with cross-bedding structures, with a maximum thickness of 12 m (average of 4.7 m) proximal to the crater, and 5.8 m maximum (0.9 m average) in the lower slopes near the coast. ...
... The estimated volume of the deposits is 19 ± 3 million m 3 . Components of the deposits include accretionary lapilli, abundant juveniles, and accidental clasts, consistent with the phreatomagmatic nature of the event (Lagmay et al., 2021). ...
Article
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This study reconstructs the 12 January 2020 Taal Volcano eruption through the analysis of narratives from two perspectives: those of the Taal Volcano Island (TVI) residents and those living along the Taal Caldera Lakeshore (TCLS). Personal accounts of TVI residents provide an up-close look at the volcano’s behavior from the day before the eruption to the escalation of volcanic activity until the early morning after the eruption. These also include information on individual actions that helped lead to community evacuation. The decisions and resulting actions of TVI residents highlight the importance of alertness to observations of changing volcano behavior (environmental cues) based on local knowledge and long-established communication between the monitoring agency and the residents who had trust in the received warning message during the unfolding event. These paved the way for the quick action of the residents to evacuate at the most critical time. Interviews of eyewitnesses from TCLS on the other hand suggest a spectator’s first reaction to watching the motorized outrigger boats as TVI residents evacuated (social cues), waiting before taking action to evacuate themselves. While various information and education efforts were conducted in the years leading to the 2020 event, the lack of experiential knowledge among the lakeshore residents and the fact that Taal did not have any major eruption in more than 40 years mainly contributed to their hesitancy to immediately evacuate, and not until the eruption occurred.
... Dense, particle-rich (with >10% particle volume fraction) flows, for example, the 1902 eruption of Mount Pelee, or the 1991 eruption of Mount Unzen, Japan, propagate in a manner similar to debris flows. In contrast, dilute pyroclastic surges (with typically <1% particle volume fraction) such as the eruptions of Mount Ontake, Japan (2014), Chichon, Mexico (1982), Vesuvius, Italy (August 25th, 79 CE) and Taal, Philippines (2020), exhibit density stratification with a more concentrated basal flow underlying a suspended fine ash unit, which represents 90%-95% of the total particles in the current (Dellino et al., 2019;Doronzo et al., 2022;Lagmay et al., 2021;Neri et al., 2022;Valentine, 1998). These dilute flows can also form as overlying currents from their dense counterparts and result in strong density stratification (e.g., Lube et al., 2020). ...
Article
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Pyroclastic density currents (PDCs) present significant hazards due to their high temperatures and dynamic pressures. Accurate estimation of dynamic pressure, vital for assessing potential damage, requires knowledge of the vertical variations of velocity and particle concentration within the PDC, particularly in the first few meters of the flow above the ground. Existing approaches to dynamic pressure calculations used in hazard assessment are often based on average values for velocity and particle volume fraction. These average values may misrepresent the flow dynamics, especially near the base of the flow where the gradients of flow variables are larger. Here, we present a new, physically based approach that allows for the calculation of the vertical profiles of velocity and concentration from a combination of depth‐averaged values for these properties and non‐dimensional flow parameters. Finally, we demonstrate the use of these profiles within an existing shallow‐water model and show its potential applications toward probabilistic hazard assessment.
... The Taal volcano is the second most frequently erupting active volcano in the Philippines [1]. Its recent eruption in 2020 produced an ashfall deposit covering an area of 6.2 million m 2 with an approximate volume of 19 ± 3 million m 3 [2,3]. Cleaning a large amount of ashfall debris has ended up in various disposal pits [4], which, in the long run, is not safe especially in a tropical country like the Philippines, as it is possible for the wetted ash to 'cement' over time [5,6]. ...
... × 10 7 m 3 (Olfindo et al., 2021) or (4.2-9.0) × 10 7 m 3 of tephra fallout (Balangue-Tarriela et al., 2022) with base surges (Lagmay et al., 2021), making it one of the biggest eruptions at Taal since 1572 (Torres et al., 1995;Delos Reyes et al., 2018). The Philippine Institute of Volcanology and Seismology (PHIVOLCS) permanently monitors Taal, and its monitoring efforts contributed to minimizing causalities during the eruption. ...
... During the 2020 eruption, ashfall from the volcano was experienced in Cavite and Laguna and reached as far as Metro Manila, Bulacan, and Pam-panga (more than 100 km from the source). According to Lagmay et al. [21], initially, the tephra released from the volcano moved southwest before shifting its direction north-northeastward after a few hours [22]. The following day, the smoke and ash from Taal Volcano moved in a southwestward direction [1,3,22]. ...
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Following the eruption of the Taal Volcano in January 2020 and its continuous signs of unrest in the preceding years, this study delves into the investigation of sediment transport in the Pasig River, Philippines. The historical data of total suspended solids (TSS) and arsenic indicated a notable increase starting from the year 2020. The field measurements were conducted in February and March of 2022, two years after the eruption. Due to the observed homogeneity in the river’s mixing, a refined 1D sediment transport model was developed. In this study, HEC-RAS modeling software was employed. The calibration process using the Laursen transport function yielded an impressive R² value of 0.9989 for the post-eruption model. This predictive accuracy underscores the robustness of the developed model. The study’s scope was further expanded by creating a model for February 2020, incorporating water quality data gathered by the Pasig River Coordinating and Management Office. The model simulation results showed peak TSS values of 120.63 mg/L and 225.15 mg/L in February 2022 and February 2020, respectively. The results of the study highlight the probable impact of geological events on sediment dynamics within the Pasig River, which could help manage and sustain ongoing river improvements.
... On 12 January 2020, Taal Volcano erupted after 43 years of repose, creating a 17-21 km high plume of steam and tephra (Lagmay et al., 2021). In a span of 5 hours, alert level warnings escalated from Alert Level 2 to 4the second highest in its category. ...
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The status of fishery resources of Lake Taal as the third largest lake in the Philippines was assessed to provide updated information on the capture fisheries following the Taal Volcano eruption and COVID-19 pandemic in 2020. Using the methodology of the National Stock Assessment Program of NFRDI, this study was conducted from January to December 2021 at 15 fish landing sites around the lake. In addition, interview schedules of 100 fisherfolk respondents from 11 coastal municipalities were also conducted to assess the effect of the volcanic eruption and pandemic on the livelihood of fisherfolk. Annual capture fisheries production was estimated at 1,004.14 MT. About 47% percent of these comprised the endangered freshwater sardine Sardinella tawilis while 31% are introduced species, and 22% migratory and/or native species. Current fisheries inventory showed that the number of fishers, fishing gears and fishing boats increased compared to 2018 inventory. The increased number of fisherfolk showed that more residents became dependent on the fishery resources of the lake. In the aftermath of volcanic eruption, reported impacts include reduction of fishing activity due to damaged gear and boat, fear of open water fishing, and reduction in demand for fish due to "unsafe" claims. Though many boats and gear were damaged in the 2020 volcanic eruption, passive or stationary fishing gears such as fish traps and fish corrals noticeably increased. During the peak of the community quarantine due to COVID-19, movement of fisheries products were hindered which led to the disruption of supply chain, and reduction of fishing activities due to lesser demand. Though there were times when fishing activities were halted due to recurring volcanic threat and pandemic, sustaining food and livelihood are what drive the local fisherfolk to learn to live and adjust adaptively to the current situation.
... Bato et al. [13] studied the Taal volcano's pre-and post-eruptive interferometric synthetic aperture radar (InSAR)-based data, analysis, and models. Meanwhile, Lagmay et al. [14] considered a field, remote sensing, and numerical methods to study the dune bedform characteristics, impact dynamic pressures, and velocities of the hazardous base surge formed in the January 2020 Taal volcano eruption, assessing its risks and consequences. Finally, Prasetyo et al. [15] analyzed the factors affecting the response actions of Filipinos in the January 2020 Taal volcano eruption in Luzon, Philippines. ...
Article
Volcanic eruption is a known natural disaster threat in the Philippines, and lack of disaster preparedness may lead to immense property damages and human casualties. This study aimed to determine the relevant factors affecting Filipinos’ preparedness beliefs in the risk of the Taal volcano eruption by integrating the Protection Motivation Theory and the extended Theory of Planned Behavior. A total of 653 individuals living in nearby urban and rural areas around the Taal volcano answered the self-administered questionnaire with 61 questions (61 indicators and 11 latent variables). Using structural equation modeling (SEM), results showed that Perceived risk proximity, Media, and Hazard knowledge had substantial effects on Perceived severity and Perceived vulnerability. Perceived severity and Perceived vulnerability consequently have positive direct impact on Perceived behavioral control, Risk avoidance norms, and Attitude toward the behavior, which were found to have a direct significance to Intention to evacuate, Preparedness behaviors and Preparedness beliefs in the threat of Taal volcano eruption. The results will contribute to researchers and policymakers in developing disaster mitigation plans to minimize the effects of volcano-related disasters and build community resilience to natural disasters. Furthermore, the SEM constructs can be extended and modified to analyze the preparedness in other third world countries prone to natural disasters.
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Accurately forecasting volcanic eruptions is challenging due to the complexity of precursory signals. Here, we develop a machine learning-based long-term eruption forecasting model for Mount Aso, Japan, by integrating multiple observational datasets—seismic tremors, magnetic field, crater wall temperature, thermal pool temperature and volume, tilt, and volcanic gas amount—at the characteristic temporal scales of the underlying physical phenomena. The temporal scales are aligned with the intrinsic dynamics captured by each dataset to enhance the model's predictive capability. We construct a theoretical framework to quantify the predictive performance improvement. Our proposed model significantly improves predictive performance, increasing the Matthews correlation coefficient by 0.65 compared to the conventional seismic-tremor-based model, and achieving a precision of >70% in predicting volcanic eruptions. Our findings demonstrate that an ensemble of multiple data sources over optimized temporal scales, underpinned by a theoretical ensemble framework, enables high-precision, interpretable eruption forecasts months in advance and makes effective disaster mitigation planning possible.
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The devastating series of Taal volcanic eruptions from 2020 to 2022 covered several locations in the Philippines under a thick layer of ashes, destroying properties and halting business operations. In response, the Biñan City Government in Laguna, Philippines, proposed the development of eco-friendly bricks by leveraging the pervasive amounts of spewed volcanic ash as part of its solid waste management program. The materials recovery facility of the city produced several brick blends of combined Taal volcanic ash, cement mortar, and plastic waste materials. This study investigates the potential of Taal volcanic ash as an aggregate building brick component by measuring the compressive strength of the formulated bricks. With different blends of aggregate components, the bricks were tested for their durability based on the ASTM C67/C67M-20 standard after curing between 15 to 30 days. Per the ASTM C62-17 standard, all brick blends that were cured for 30 days including those with volcanic ash and plastic waste as aggregate components fall under the negligible weathering grade. This indicates that these bricks will be durable in building and structural applications where the average compressive strength requirement for bricks is at least 10.3 MPa. A regression model was also fitted with an adjusted r ² value of 0.9413 and a p -value of < 2.2 × 10 ⁻¹⁶ using the experimental data.
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Pyroclastic density currents are ground hugging gas-particle flows that originate from the collapse of an eruption column or lava dome. They move away from the volcano at high speed, causing devastation. The impact is generally associated with flow dynamic pressure and temperature. Little emphasis has yet been given to flow duration, although it is emerging that the survival of people engulfed in a current strongly depends on the exposure time. The AD 79 event of Somma-Vesuvius is used here to demonstrate the impact of pyroclastic density currents on humans during an historical eruption. At Herculaneum, at the foot of the volcano, the temperature and strength of the flow were so high that survival was impossible. At Pompeii, in the distal area, we use a new model indicating that the current had low strength and low temperature, which is confirmed by the absence of signs of trauma on corpses. Under such conditions, survival should have been possible if the current lasted a few minutes or less. Instead, our calculations demonstrate a flow duration of 17 min, long enough to make lethal the breathing of ash suspended in the current. We conclude that in distal areas where the mechanical and thermal effects of a pyroclastic density currents are diminished, flow duration is the key for survival.
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Present efforts in volcano monitoring, particularly in Southeast Asia, rely on the combination of local data (generally gathered at less than 100 km from the volcano), and satellite remote sensing. While this combination has its strengths, there are still weaknesses that the use of ground-based remote sensing data - such as distant infrasound measurements - could help alleviate. Infrasound offers tools for detecting and characterizing volcanic plumes independent of cloud cover and time of day. Larger volcanic eruptions generate infrasound that is related to the plume and offers a unique view into eruption dynamics within the context of monitoring. Past research has demonstrated that infrasound can be used to estimate source parameters, such as the rate at which material is ejected from volcanic vents during eruptions; these are key input parameters into empirical and numerical models to estimate the height of volcanic plumes, atmospheric ash transport and dispersion. Here, we demonstrate the use of remote infrasound in estimating the height of volcanic plumes, including a case study on the May 30, 2014 plume from the volcano Sangeang Api in Indonesia. We were able to determine the plume height using infrasound gathered from 2000 to over 5000 km distance from the volcano. During the January 2020 eruption of Taal volcano in the Philippines, this method was applied to remote infrasound recorded 1650 km to the east. We show that our workflow can be implemented in near real-time, offering an effective tool for rapid plume height measurement, including associated uncertainties, when volcanic clouds are not visible from the ground or space.
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Pyroclastic density currents (PDCs) are a life-threatening volcanic hazard. Our understanding and hazard assessments of these flows rely on interpretations of their deposits. The occurrence of stratified layers, cross-stratification, and bedforms in these deposits has been assumed as indicative of dilute, turbulent, supercritical flows causing traction-dominated deposition. Here we show, through analogue experiments, that a variety of bedforms can be produced by denser, aerated, granular currents, including backset bedforms that are formed in waning flows by an upstream-propagating granular bore. We are able to, for the first time, define phase fields for the formation of bedforms in PDC deposits. We examine how our findings impact the understanding of bedform features in outcrop, using the example of the Pozzolane Rosse ignimbrite of the Colli Albani volcano, Italy, and thus highlight that interpretations of the formative mechanisms of these features observed in the field must be reconsidered. In this study, Smith and colleagues employ analogue experiments to show the controlling parameters on sediment bedforms in pyroclastic density current deposits. The findings are applied and validated on natural deposits.
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Hydrovolcanism is a type of volcanism where magma and water interact either explosively or non-explosively. The less frequently used term, hydromagmatism, includes all the processes responsible for magma and water interaction in a magmatic system. Hydrovolcanism is commonly used as a synonym for phreatomagmatism. However, in recent years phreatomagmatism appears more in association with volcanic eruptions that occur in shallow subaqueous or terrestrial settings and commonly involves molten fuel-coolant interaction (MFCI) driven processes. Here a revised and reviewed classification scheme is suggested on the basis of the geo-environment in which the magma-water interaction takes place and the explosivity plus mode of energy transfer required to generate kinetic energy to produce pyroclasts. Over the past decade researchers have focused on the role hydrovolcanism/phreatomagmatism plays in the formation of maar craters, the evolution of diatremes and the signatures of magma—water interaction in the geological record. In the past five years, lithofacies-characterization is the most common approach to studying hydrovolcanism. By far mafic monogenetic volcanic fields generated the greatest number of research results. Significant knowledge gaps are identified, especially in developing tools to identify the textural signatures hydrovolcanism leave behind on eruptive products and exploring the role of hydrovolcanism in the growth of intermediate and silicic small volume volcanoes.
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The International Association for Volcanology and Chemistry of the Earth's Interior (IAVCEI) was formed following the end of World War I at the inaugural general assembly (GA) of the International Research Council in Brussels in 1919, where the International Union of Geodesy and Geophysics (IUGG) was constituted. IAVCEI was then known as the Section for Volcanology (SV) and was one of six scientific disciplines that made up IUGG. The first president of IAVCEI (or SV) was Annibale Riccò (Italy), its first two vice presidents were Alfred Lacroix (France) and Henry Washington (USA), and the first secretary-general (SG) was Alessandro Malladra (Italy). A secretariat office for SV was established in Naples, Italy, following the first IUGG and SV General Assembly in 1922, in Rome, Italy. At that meeting SV established its own scientific journal called Bulletin volcanologique, the first edition of which was published in 1924 with Alessandro Malladra as the editor. SV officially became the International Association for Volcanology (IAV) in 1933 at the 5th IUGG General Assembly in Lisbon, Portugal. At the 14th IUGG General Assembly in Zurich, Switzerland, in 1967, IAV was renamed IAVCEI in recognition of the importance of geochemistry and geochronology in understanding volcanic processes. Bulletin volcanologique was renamed the Bulletin of Volcanology in 1986, at the time that its editorial board was restructured to be more representative of the international community. IAVCEI became a fully democratic association in 1995 with the introduction of individual membership, which entitled members to nominate, be nominated and vote in the election of the IAVCEI Executive Committee. Although the IUGG By-Laws allowed scientists only from the union's member countries to hold various positions within IUGG, in 2015, the IUGG Council removed this restriction, and now a scientist who is a member of IAVCEI from any country can hold any position in IAVCEI, except the position of the president.
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Pyroclastic currents are catastrophic flows of gas and particles triggered by explosive volcanic eruptions. For much of their dynamics, they behave as particulate density currents and share similarities with turbidity currents. Pyroclastic currents occasionally deposit dune bedforms with peculiar lamination patterns, from what is thought to represent the dilute low concentration, and fluid‐turbulence supported end member of the pyroclastic currents. This article presents a high resolution dataset of sediment plates (lacquer peels) with several closely spaced lateral profiles representing sections through single pyroclastic bedforms from the August 2006 eruption of Tungurahua (Ecuador). Most of the sedimentary features contain backset bedding and preferential stoss‐face deposition. From the ripple scale (a few centimetres) to the largest dune bedform scale (several metres in length), similar patterns of erosive‐based backset beds are evidenced. Recurrent trains of sub‐vertical truncations on the stoss side of structures reshape and steepen the bedforms. In contrast, sporadic coarse‐grained lenses and lensoidal layers flatten bedforms by filling troughs. The coarsest (clasts up to 10 cm), least sorted and massive structures still exhibit lineation patterns that follow the general backset bedding trend. The stratal architecture exhibits strong lateral variations within tens of centimetres, with very local truncations both in flow‐perpendicular and flow‐parallel direction. This study infers that the sedimentary patterns of bedforms result from four formation mechanisms: (i) differential draping; (ii) slope‐influenced saltation; (iii) truncative bursts; and (iv) granular‐based events. Whereas most of the literature makes a straightforward link between backset bedding and Froude‐supercritical flows, this interpretation is reconsidered here. Indeed, features that would be diagnostic of subcritical dunes, antidunes, and ‘chute and pools’ can be found on the same horizon and in a single bedform, only laterally separated by short distances (tens of centimetres). These data stress the influence of the pulsating and highly turbulent nature of the currents and the possible role of coherent flow structures such as Görtler vortices. Backset bedding is interpreted here as a consequence of a very high sedimentation environment of weak and waning currents that interact with the pre‐existing morphology. Quantification of near‐bed flow velocities are made via comparison with wind tunnel experiments. It is estimated that shear velocities of ca 0.30 m.s⁻¹ (equivalent to pure wind velocity of 6 to 8 m.s⁻¹ at 10 cm above the bed) could emplace the constructive bedsets, whereas the truncative phases would result from bursts with impacting wind velocities of at least 30 to 40 m.s⁻¹. This article is protected by copyright. All rights reserved.
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This paper presents PYFLOW_2.0, a hazard tool for the calculation of the impact parameters of dilute pyroclastic density currents (DPDCs). DPDCs represent the dilute turbulent type of gravity flows that occur during explosive volcanic eruptions; their hazard is the result of their mobility and the capability to laterally impact buildings and infrastructures and to transport variable amounts of volcanic ash along the path. Starting from data coming from the analysis of deposits formed by DPDCs, PYFLOW_2.0 calculates the flow properties (e.g., velocity, bulk density, thickness) and impact parameters (dynamic pressure, deposition time) at the location of the sampled outcrop. Given the inherent uncertainties related to sampling, laboratory analyses, and modeling assumptions, the program provides ranges of variations and probability density functions of the impact parameters rather than single specific values; from these functions, the user can interrogate the program to obtain the value of the computed impact parameter at any specified exceedance probability. In this paper, the sedimentological models implemented in PYFLOW_2.0 are presented, program functionalities are briefly introduced, and two application examples are discussed so as to show the capabilities of the software in quantifying the impact of the analyzed DPDCs in terms of dynamic pressure, volcanic ash concentration, and residence time in the atmosphere. The software and user’s manual are made available as a downloadable electronic supplement.
Article
The Philippines is an area of persistent volcanism, being located in one of the most tectonically active regions in the world. Taal Volcano in Southern Luzon is the second most frequently erupting volcano of the 24 active volcanoes in the Philippines. A comprehensive and critical review of published and unpublished references describing the 33 known historical eruptions of Taal may provide answers to knowledge gaps on past eruptive behavior, processes, and products that could be utilized for hazard and risk assessment of future eruptions. Data on the prehistoric eruptions and evolution of Taal Caldera and subsequent deposits are limited. Only four caldera-forming events were identified based on four mapped ignimbrite deposits. From oldest to youngest, these are the silicic Alitagtag (ALI) and Caloocan (CAL) Pumice Flow deposits, the dacitic Sambong Ignimbrite (SAM), and the basaltic-andesitic Taal Scoria Flow, renamed Scoria Pyroclastic Flow (SFL). Except for SFL with ¹⁴C dating yielding 5380 ± 70 to 6830 ± 80 ky, there are no age constraints or estimates of extent for the three older deposits. A comprehensive review of the historical eruptions of Taal Volcano is the central element of this paper and includes all eruptions from AD1572 (the first known historic event) to AD1977. Eruption styles and the interplay between processes and products for each eruption are reinterpreted based on the narrative descriptions from all available accounts. A change of classification of eruption styles and eruptive products is undertaken for some events. At least nine reported eruptions were deemed uncertain including the AD1605-AD1611 event (more likely seismic swarms), the AD1634, AD1635, and AD1645 (may simply be solfataric or hydrothermal activity) events, and the AD1790, AD1825, AD1842, AD1873 and AD1903 events that were listed in recent published and unpublished documents but do not provide any details to describe and confirm the eruptions except for listing a default VEI of 2. Pyroclastic density currents brought devastating impacts to the communities around Taal during the AD1749, AD1754, AD1911 and AD1965 eruptions and remain the biggest threat in the case of renewed volcanic activity. Significant implications for aviation are implied by the narrative of tephra fall dispersal towards Manila, the central gateway of international aviation operation in the Philippines, during the AD1754 eruptions. The dispersal of tephra in the event of an explosive eruption at Taal towards Metro Manila would have catastrophic effects to transport, utilities and business activity, potentially generating enormous economic losses. Hazards from earthquake events associated with future volcanic activity may also have localized impacts. Occurrences of liquefaction phenomena as a consequence of severe ground shaking are interpreted during the AD1749, AD1754, and AD1911 eruptions. More work needs to be done to develop a comprehensive understanding of the hazards and risks associated with an explosive eruption at Taal Volcano, especially related to the older Quaternary caldera-forming eruptions that produced large-volume pyroclastic deposits that are extensively distributed and exposed. We acknowledge that there may be additional prehistoric eruptions where the eruptive products have not been preserved, recognized or reported. Events that cannot be verified or do not have sufficient details to confirm the eruption, have been downgraded to “uncertain”. Eruptions that are confirmed with identified dispersal and emplacement of tephra fall and other eruptive deposits, as interpreted from narrated records, could provide crucial information that may be utilized in hazard assessment.