proceedings, 2012 international snow science workshop ... · sfi of ob no. 1goryu 2hiyodo 3kuroh...

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PROPERTIES OF WEAK LAYERS COMPOSED OF PRECIPITATION PARTICLES IN AND NEAR AVALANCHE STARTING ZONES IN JAPAN Shinji Ikeda and Tomoyuki Noro Public Works Research Institute, Snow Avalanche and Landslide Research Center ABSTRACT: To gain further insight into the properties of weak layers composed of precipitation particles(PP weak layer), we analyzed 18 measurement datasets. All analyzed data were collected from avalanche fracture lines or flat sites near avalanche starting zones; these data correspond to notable PP weak layer-related avalanche activities observed in Japan. PP weak layers were found at depths of 6–117 cm, and these layers were 2–22-cm thick. At all study sites, the PP weak layers were composed of large (diameter: 1.0–2.5 mm) rime-less stellar or dendrite planar crystals. The density of the observed layers ranged between 63 and 190 kgm-3. The shear frame index–density relationship of the studied layers resembled that observed by Jamieson and Johnston (2001) rather than observed by Yamanoi and Endo (2002) and Perla et al. (1982). Further analysis of larger datasets obtained from various regions with snow climate is necessary of the properties of weak layers. However, our results suggest that the identification of the types of precipitation particles present in the snowpack under consideration is important for snow stability evaluation and avalanche forecast when weak layers composed of precipitation particles are involved. 1. INTRODUCTION The properties of weak layer are an important factor for stability analysis of snowpack and avalanche prediction. However, most of existing studies about property of weak layers focused on persistent weak layers (Jamieson,1995) composed of facetted crystals, surface hoar and depth hoar, which maintain weakness for a long period (ex. Akitaya, 1974; Fukuzawa and Akitaya, 1993; Birkeland, 1998; Hachikubo and Akitaya, 1998). It is known that relatively large and little rimed precipitation particles form typical non-persistent weak layers. For such weak layers composed of precipitation particles (hereafter: PP weak layer), an approach to estimate their stabilities using a physically based model (with empirical parameterizations) is developed (Endo, 1991, Conway and Wilbour, 1999) as a support tool for avalanche forecasting (hereafter: SNOSS = SNOw Slope Stability model). SNOSS estimate a stability index which is a ratio of the shear strength of weak layers and the shear stress produced by overburden of snow on the weak layers for given depth and time as an output. The shear strength of *Corresponding and presenting author: Ikeda H. 2-6-8, Nishiki-cho, Myoko-City, Niigata-Pref, 944- 0051, Japan Phone: +81-255-72-4131 Fax: +81-255-72-9629 e-mail: [email protected] weak layers is estimated by using empirical equation of the relation of snow density and shear strength, and snow density is estimated from initial density, overburden stress and temperature and compactive viscosity. For SNOSS, even the same situation may result in very different outputs of stability when using different empirical equation of the relation of snow density and shear strength and compactive viscosity. It have been pointed out that the necessity of examination of applicability of the properties of PP weak layer in conjunction with the climatic conditions by some studies (ex. Broun, et al, 2008, Hirashima, et al., 2008, Marshall et al., 2008). Hirashima, et al. (2008) has shown that the empirical equations of relationship between snow density and shear strength by Jamieson and Johnston (2001), which were developed using the observation data in Canada, tend to over-estimate the instability compared to the empirical equations by Yamanoi and Endo (2002), which were developed using the observation data in Japan, in their study on the snowpack stability analysis of Japanese snow using the SNOWPACK model. The differences in crystal types are considered to give a major influence on the properties of weak layers, such as the relationships between density and shear strength and compressive viscosity. Casson et al. (2008) attempt to be clear the properties for each type of precipitation particles by field measurement and pointed out importance of identification of each crystal types of fallen snow for SNOSS. Because the crystal type of precipitation particles depend not on the climate but on the weather Proceedings, 2012 International Snow Science Workshop, Anchorage, Alaska 586

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Page 1: Proceedings, 2012 International Snow Science Workshop ... · SFI of ob No. 1Goryu 2Hiyodo 3Kuroh 4Mitaha 5Noriku 6Noriku 7Tatesi k 9Tugaik 10Tugaik 11Noriku 12Noriku 13Tatesi 14Sigako

PROPERTIES OF WEAK LAYERS COMPOSED OF PRECIPITATION PARTICLES IN AND NEAR AVALANCHE STARTING ZONES IN JAPAN

Shinji Ikeda and Tomoyuki Noro

Public Works Research Institute, Snow Avalanche and Landslide Research Center

ABSTRACT: To gain further insight into the properties of weak layers composed of precipitation particles(PP weak layer), we analyzed 18 measurement datasets. All analyzed data were collected from avalanche fracture lines or flat sites near avalanche starting zones; these data correspond to notable PP weak layer-related avalanche activities observed in Japan. PP weak layers were found at depths of 6–117 cm, and these layers were 2–22-cm thick. At all study sites, the PP weak layers were composed of large (diameter: 1.0–2.5 mm) rime-less stellar or dendrite planar crystals. The density of the observed layers ranged between 63 and 190 kgm-3. The shear frame index–density relationship of the studied layers resembled that observed by Jamieson and Johnston (2001) rather than observed by Yamanoi and Endo (2002) and Perla et al. (1982). Further analysis of larger datasets obtained from various regions with snow climate is necessary of the properties of weak layers. However, our results suggest that the identification of the types of precipitation particles present in the snowpack under consideration is important for snow stability evaluation and avalanche forecast when weak layers composed of precipitation particles are involved. 1. INTRODUCTION The properties of weak layer are an important factor for stability analysis of snowpack and avalanche prediction. However, most of existing studies about property of weak layers focused on persistent weak layers (Jamieson,1995) composed of facetted crystals, surface hoar and depth hoar, which maintain weakness for a long period (ex. Akitaya, 1974; Fukuzawa and Akitaya, 1993; Birkeland, 1998; Hachikubo and Akitaya, 1998). It is known that relatively large and little rimed precipitation particles form typical non-persistent weak layers. For such weak layers composed of precipitation particles (hereafter: PP weak layer), an approach to estimate their stabilities using a physically based model (with empirical parameterizations) is developed (Endo, 1991, Conway and Wilbour, 1999) as a support tool for avalanche forecasting (hereafter: SNOSS = SNOw Slope Stability model). SNOSS estimate a stability index which is a ratio of the shear strength of weak layers and the shear stress produced by overburden of snow on the weak layers for given depth and time as an output. The shear strength of *Corresponding and presenting author: Ikeda H. 2-6-8, Nishiki-cho, Myoko-City, Niigata-Pref, 944-0051, Japan Phone: +81-255-72-4131 Fax: +81-255-72-9629 e-mail: [email protected]

weak layers is estimated by using empirical equation of the relation of snow density and shear strength, and snow density is estimated from initial density, overburden stress and temperature and compactive viscosity. For SNOSS, even the same situation may result in very different outputs of stability when using different empirical equation of the relation of snow density and shear strength and compactive viscosity. It have been pointed out that the necessity of examination of applicability of the properties of PP weak layer in conjunction with the climatic conditions by some studies (ex. Broun, et al, 2008, Hirashima, et al., 2008, Marshall et al., 2008). Hirashima, et al. (2008) has shown that the empirical equations of relationship between snow density and shear strength by Jamieson and Johnston (2001), which were developed using the observation data in Canada, tend to over-estimate the instability compared to the empirical equations by Yamanoi and Endo (2002), which were developed using the observation data in Japan, in their study on the snowpack stability analysis of Japanese snow using the SNOWPACK model. The differences in crystal types are considered to give a major influence on the properties of weak layers, such as the relationships between density and shear strength and compressive viscosity. Casson et al. (2008) attempt to be clear the properties for each type of precipitation particles by field measurement and pointed out importance of identification of each crystal types of fallen snow for SNOSS. Because the crystal type of precipitation particles depend not on the climate but on the weather

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conditions when it fall, and same types of snow crystals may fall in regions whose climate differ largely each other, even though the frequencies are different. Therefore, if we only factor the climate for the properties of PP weak layers, we may miss-estimate the instability of snowpack. On the other hand, most of existing studies on PP weak layers depend on the data observed at the study plots which are located on lowland and are at a distance from the avalanche start zone and those data are collected regardless of avalanche occurrence (Perla et al., 1982; Yamanoi and Endo, 2002; Brown and Jamieson, 2008; and Casson et al., 2008). Therefore, it is hard to say these studies had grasped the properties of PP weak layers that actually causing the avalanche. This study aims to clarify the properties of PP weak layers that actually caused avalanches in Japan where has quite different climatic condition from North America and Europe. To this end, data was collected and analyzed on the weak layers of precipitation particles, which were observed on or near the starting zones of avalanches under the obvious avalanche cycles rerated with PP weak layers in Japan. 2. METHODS We collected 18 cases of observations of PP weak layers that actually caused avalanches in Japan. 12 cases of observations were performed by author. One case of them was observed at fracture line of avalanche and 11 cases were observed near the avalanche starting zone when obvious avalanche cycles rerated with PP weak layer had been reported on the Snow bulletin board (Degawa et al., 2008). The Snow bulletin board is a web-based information exchange system operated by Japan Avalanche Network (JAN) to contribute to back country avalanche safety. The registered members who provide data are mountain guides, patrols and experienced recreational back country users and they have received training for observing and reporting data on avalanche activities, snowpack conditions and weather conditions in conformity with the Observation Guidelines and Recording Standards for Weather, Snowpack and Avalanches (JAN, 2009) which is drawn up based on Observation Guidelines and Recording Standards for Weather, Snowpack and Avalanches drawn up by Canadian Avalanche Association: OGRS (CAA, 2007). Snow pit observations were performed in accordance with both of OGRS (JAN, 2009) and OGRS (CAA, 2007). The observation items are as follow.

Layer structure: visually observed Type of snow: visually observed Particle diameter: measured with a grading

gauge with 1, 2 and 3 mm grids Hardness: determined by the hand test that

classifies hardness into four classifications of F, 4f, 1f, P, K and I

Density: average of three samplings collected by a cubic density sampler (height: 3 cm and volume:100 cm3) When thickness of the target layer is less than 3 cm, the snow of the upper layer is sampled together. Then, the snow of upper layer is sampled exclusively. The density of the target layer is calculated according to the following equation. ρw={3ρwu - (3-tw) ρu}/tw (1) ρw: density of weak snow layer ρwu: density of weak snow layer ρu: density of upper layer tw: thickness of weak snow layer ρu: density of upper layer

Shear strength of the weak layer: shear strength index is measured using a shear frame of 250 cm2; More than 10 measurements were taken for one sample. The average of measurements were used.

The weak layer was identified by visual observation of the boundary between remaining slab and sliding surface, when observation is performed at fracture line. In the other observations, the layers that may correspond to the weak layers that were reported on the Snow bulletin board were identified by confirming to the layer structures (the weak layer locations were specified relative to the index layers, such as crust layers). Father, One case and five cases were obtained from existing research reports and from the Snow Profile Information Network (SPIN) which is a web-based snow profile data base operated by JAN (Degawa et al., 2008), respectively. Some of the observation items may lack on those observations stated above. 3. RESULTS Table 1 shows observation results of 18 cases of PP weak layers that actually rerated avalanche activities in Japan and fig. 1 shows picture of examples of observed crystals. 7 cases are observed at avalanche fracture line and 10 cases are observed near avalanche starting zone under the obvious avalanche cycles rerated with PP weak layer.

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Proceedings, 2012 International Snow Science Workshop, Anchorage, Alaska

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EFERENCESitaya, E. (197Inst. Low Te

rkeland, K. Wprocesses weak layersthe mountai193–199, 19

own, C., Jamand SnowpPersistant W2008 InternSeptember 2

anadian AObservationStandards Avalanches.Revelstoke,

onway, H., Cslope stabiScience and

asson, J., SEvaluating tNew Snow Approach Proceedings

ed even in Cawhen using

hear strengthset in accordaea, but shouldal types of me kind of m

so suggestedte to obviouser compressomposed of attributed toh with same weakness

r persistencavalanches

e clearly cateanches or stot to call suk layer" but

number of drge enough, re data frome zones. De

study, the resfocusing on stability of Pavalanche.

S 74) Studies o

emp. Sci. A26W., Terminoassociated

s of near-surfn snowpack,

998. mieson, B., pack Stabil

Weak Layersnational Sno21-27, 2008.

Avalanche n Guideline

for Weath. Canadian ACanada. . Wilbour, 19lity during sd TechnologyStoelinga, Mthe Importan

Instability: Using th

s Whistler 20

anada. SNOSS, the

h of the PP wance with thed be set in a

precipitationmeasures. d that PP ws avalanche sive viscosity

precipitationo the relativeme density

of such PP e than othcaused by a

egorized apatorm snow auch weak la

"semi-persis

data collectefuture study

m different espite the smsult clearly in snow cryst

PP weak laye

on depth hoa6, 1–67. ology and prwith the foface faceted , Arct. Alp. R

2008. Sheality Trends

s. Proceedingow Science Association

es and her, SnowpAvalanche A

999. Evolutiostorms. Coldy. 30, 67-77. ., Locatelli,

nce of Crystaa Strength

he SNOSS008 Internati

e empirical weak layer e climate of accordance n particles

weak layers cycle tend

y than the n particles. ely weaker

and may weak layer

her layers. a PP weak art from the avalanches. ayers "non-stent weak

ed for this y is needed

regions in mall sample

dicates the al type for ers and for

ar. Contrib.

redominant rmation of crystals in

Res., 30(2),

ar Strength in Non-

gs Whistler Workshop

n, 2007. Recording

pack and Association,

on of snow d Regions

J., 2008. al-Type on vs. Stress

S Model. onal Snow

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Science Workshop September 21-27, 2008. Degawa, A., Hirota, Y. 2008. Avalanche Education

Based on the Information-Sharing Concept at Japan Avalanche Network. Proceedings Whistler 2008 International Snow Science Workshop September 21-27, 2008.

Endo, Y., 1991. Time variation of stability index in new snow on slopes, in Proceedings of the Japan-U.S. Workshop on Snow Avalanche, Landslide, Debris Flow Prediction and Control, 30 September–2 October 1991, Tsukuba, Japan, pp. 85–94, Natl. Res. Inst. for Earth Sci. and Disaster Prev., Sci. and Technol. Agency, Tsukuba, Japan, 1991.

Fukuzawa, T., and E. Akitaya, Depth-hoar crystal growth in the surface layer under high temperature gradient, Ann. Glaciol., 18, 39–45, 1993.

Jamieson, J.B., 1995. Avalanche prediction for persistent snow slabs. Ph.D. Thesis, Dept. of Civil Engineering, University of Calgary, Canada.

Jamieson, J.B. and C.D. Johnston, 2001. Evaluation of the shear frame test for weak snowpack layers. Annals of Glaciology. 32, 59-69.

Japan Avalanche Network, 2009. Observation Guidelines and Recording Standards for Weather, Snowpack and Avalanches. Japan Avalanche Network, Yokohama, Japan.

Hachikubo, A., Numerical modelling of sublimation on snow and comparison with field measurements, Ann. Glaciol., 32, 27–32, 2001.

Hirashima, H., Nishimura, K., Yamaguchi, S., Sato, A., and Lehning, M., 2008. Avalanche forecasting in a heavy snowfall area using the snowpack model. Cold Regions Science Technology 51, 191-203.

Marshall, H.P., Landry, C., Hale, S., Roberts, J., Conway, H., 2008. Snow Slope Stability Modeling of Direct-Action Avalanches in a Continental Climate: Red Mountain Pass, Colorado. Proceedings Whistler 2008 International Snow Science Workshop September 21-27, 2008.

Perla, R., T.M.H. Beck, T.T. Cheng, 1982. The shear strength index of alpine snow. Cold Regions Science and Technology. 6, 11-20.

Yamanoi, K., Endo, Y., 2002. Dependence of shear strength of snow cover on density and water content. Seppyo. 64 (4), 443–451 (in Japanese with English Abstruct).

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