Proceedings, International Snow Science Workshop, Banff, 2014

Similar documents
Recent Changes in Pressure Patterns and Their Regional Occurrence at Times of Heavy Snowfall and Blizzard Events in Hokkaido, Japan

COLD REGION SCIENCE AND MARINE TECHNOLOGY - Vol. II - Drifting Snow And Avalanche Control For Roads - Masaru Matsuzawa, Hiroki Matsushita

Method for Calculating the Amount of Accumulated Snow Transported during a Single Blizzard

Proceedings, International Snow Science Workshop, Breckenridge, Colorado, 2016

Comparison of a snowpack on a slope and flat land by focusing on the effect of water infiltration

Since the winter of , when the studded tire

Satoshi OMIYA Hirotaka TAKECHI Tetsuya KOKUBU Yusuke HARADA Masaru MATSUZAWA Civil Engineering Research Institute for Cold Region. Sapporo.

Estimated seasonal snow cover and snowfall in Japan

Study on Methods to Calculate Visibility on Blowing Snow

DevelopDlent of a Dleteorological forecast for snow accum.ulation on transm.ission lines

CLIMATE. UNIT TWO March 2019

USING GIS FOR AVALANCHE SUSCEPTIBILITY MAPPING IN RODNEI MOUNTAINS

CHARACTERISTICS OF TRAFFIC ACCIDENTS IN COLD, SNOWY HOKKAIDO, JAPAN

An operational supporting tool for assessing wet-snow avalanche danger

Storm and Storm Systems Related Vocabulary and Definitions. Magnitudes are measured differently for different hazard types:

1.Introduction 2.Relocation Information 3.Tourism 4.Population & Demographics 5.Education 6.Employment & Income 7.City Fees & Taxes 8.

Analysis of meteorological measurements made over three rainy seasons in Sinazongwe District, Zambia.

STRUCTURAL ENGINEERS ASSOCIATION OF OREGON

Proceedings, International Snow Science Workshop, Innsbruck, Austria, 2018

Development of Snow Avalanche Forecasting System in Japan

A Simplified Model to Predict Frost Penetration for Manitoba Soils

Study on acceleration response spectra for seismic design based on observed records in Hokkaido, JAPAN

Features of the wind fields associated with Typhoon 0418 (Songda) compared with those of Typhoon 9119 (Mireille)

DOWNLOAD PDF SCENERY OF SWITZERLAND, AND THE CAUSES TO WHICH IT IS DUE.

How to assess a snowpack with your group:

SLOPE SCALE AVALANCHE FORECASTING IN THE ARCTIC (SVALBARD)

The North Atlantic Oscillation: Climatic Significance and Environmental Impact

Long-Term Trend of Summer Rainfall at Selected Stations in the Republic of Korea

DEVELOPMENT OF TRAFFIC ACCIDENT ANALYSIS SYSTEM USING GIS

Weathering & Erosion

Climates of Earth. Lesson Outline LESSON 1. A. What is climate? 1. is the long-term average weather conditions that occur in a particular region.

January 2006 Climate Summary

Extreme Winds in the Western North Pacific. Søren Ott

Colorado State University, Fort Collins, CO Weather Station Monthly Summary Report

Proceedings, International Snow Science Workshop, Banff, 2014

URBAN HEAT ISLAND IN SEOUL

Proceedings, 2012 International Snow Science Workshop, Anchorage, Alaska

QUANTITATIVE ANALYSIS OF HYDROLOGIC CYCLE IN COLD SNOWY BASIN

Souris River Basin Spring Runoff Outlook As of March 1, 2019

Moisture content in concrete

Page 1. Name: 4) State the actual air pressure, in millibars, shown at Miami, Florida on the given weather map.

Colorado State University, Fort Collins, CO Weather Station Monthly Summary Report

ON THE REVISION OF WIND-RESISTANT DESIGN MANUAL FOR HIGHWAY BRIDGES

NOAA National Centers for Environmental Information State Summaries 149-HI. Observed and Projected Temperature Change

TCC News 1 No. 29 Summer 2012

1. Evaluation of Flow Regime in the Upper Reaches of Streams Using the Stochastic Flow Duration Curve

University Centre in Svalbard AT 301 Infrastructure in a changing climate 10. September 2009 Physics of Snow drift

Chapter 1 Climate in 2016

Proceedings, 2012 International Snow Science Workshop, Anchorage, Alaska

A Century of Meteorological Observations at Fort Valley Experimental Forest: A Cooperative Observer Program Success Story

Pass, San Juan Mountains, Southwest Colorado

The Montague Doppler Radar, An Overview

WHAT CAN MAPS TELL US ABOUT THE GEOGRAPHY OF ANCIENT GREECE? MAP TYPE 1: CLIMATE MAPS

Time and Spatial Variations of Heavy Snowfalls in the Japan Sea Coastal Region

Verification of the Seasonal Forecast for the 2005/06 Winter

Date. Place Machinaka campus nagaoka The 5th floor interchange room ( January 31,2017 February 1,2017

Automated Meteorological Data Acquisition System (AMeDAS) in Japan and field experiments to determine the effects of its observation environment

Tatsuya UEMURA*, Researcher Yasuaki MATSUDA**, Director for Road Research Yasuhiko KAJIYA*, Director Kazuhiro TANJI***, Chief

Northwest Outlook October 2016

Foundations of Earth Science, 6e Lutgens, Tarbuck, & Tasa

Adopt a Drifter Lesson Plan by Mary Cook, Middle School Science Teacher, Ahlf Jr. High School, Searcy, Arkansas

Unseasonable weather conditions in Japan in August 2014

Chemical survey of the snowpack in central Japan

The weather in Iceland 2012

AVALANCHE WINTER REGIMES A SYSTEM FOR DESCRIBING AVALANCHE ACTIVITY CHARACTERISTICS

Field Experiment on the Effects of a Nearby Asphalt Road on Temperature Measurement

September 2018 Weather Summary West Central Research and Outreach Center Morris, MN

Name: Climate Date: EI Niño Conditions

Bell Work. REVIEW: Our Planet Earth Page 29 Document A & B Questions

The Soils and Land Capability for Agriculture. Land North of Aberdeen, Aberdeenshire

Climate.tgt, Version: 1 1

Unit 2 Text Worksheet # 2

MAURITIUS METEOROLOGICAL SERVICES

May 2016 Volume 23 Number 5

Recent fluctuations of meteorological and snow conditions in Japanese mountains

Assessment of the catastrophic events originated in the river Vere basin

2010 International Snow Science Workshop

Internationales Symposion INTERPRAEVENT 2004 RIVA / TRIENT

Pd: Date: Page # Weather Patterns -- Lesson 2 Study Guide

Understanding Michigan snowfall. Jim Keysor - NWS Gaylord

Edmonton International Airport

2015: A YEAR IN REVIEW F.S. ANSLOW

TABLE OF CONTENTS LIST OF TABLES. Page

Recent Improvement of Integrated Observation Systems in JMA

GEOGRAPHY EYA NOTES. Weather. atmosphere. Weather and climate

AUTOMATIC MEASUREMENT OF ICING ON THE WEST OF THE CZECH REPUBLIC

November 2018 Weather Summary West Central Research and Outreach Center Morris, MN

Moisture Situation Update November 6, 2016

Ellen L. Mecray NOAA Regional Climate Services Director, Eastern Region Taunton, MA

Assessment of Snowpack-Influencing climate Change in the Colorado Rockies and Oregon Cascades using a Simple Winter Precipitation Index

High Resolution Modeling of Multi-scale Cloud and Precipitation Systems Using a Cloud-Resolving Model

Global Winds AOSC 200 Tim Canty

ESTIMATION OF NEW SNOW DENSITY USING 42 SEASONS OF METEOROLOGICAL DATA FROM JACKSON HOLE MOUNTAIN RESORT, WYOMING. Inversion Labs, Wilson, WY, USA 2

A. Spatial Sense (Working with Maps, Globes, and Other Geographic Tools)

SNOW CREEP MOVEMENT IN THE SAN JUAN MOUNTAIN SNOWPACK RED MOUNTAIN PASS

Tropical Moist Rainforest

EFFICIENCY OF THE INTEGRATED RESERVOIR OPERATION FOR FLOOD CONTROL IN THE UPPER TONE RIVER OF JAPAN CONSIDERING SPATIAL DISTRIBUTION OF RAINFALL

1. Which type of climate has the greatest amount of rock weathering caused by frost action? A) a wet climate in which temperatures remain below

Impacts of the April 2013 Mean trough over central North America

Hurricanes. April 14, 2009

Transcription:

CHANGES IN DESIGN STANDARDS AND REGIONAL CHARACTERISTICS OF AVALANCHE SUPPORTING STRUCTURES IN JAPAN Yusuke Harada 1 *, Hiroki Matsushita and Masaru Matsuzawa 1 1 Civil Engineering Research Institute for Cold Region, PWRI, Sapporo, Hokkaido, JAPAN Snow Avalanche and Landslide Research Center, PWRI, Myo-ko, Niigata, JAPAN ABSTRACT: In Japan, avalanche supporting structures are designed based on standards specified in the Swiss Guideline developed in 1961. However, the weather conditions in Japan differ from those in Switzer-land. In the 198s, many snow bridges were damaged by heavy snowfall. Hence, the glide factor was changed to 1.5 times the previous glide factor for Honshu, since the snow there tends to be wet. In contrast, in Hokkaido, the glide factor was set as equal to the Swiss standard. Climate changes in recent years have made wet-snow avalanches more likely to occur even in Hokkaido. In light of this, the design snow for the snow bridges that are currently used in Hokkaido is being reexamined. In the past two years, the snow acting on snow bridges has been measured, as a result of which it was found that the maximum measured values were almost the same as those obtained during the six winters from 1988 to 1993. Also, the measured snow was lower than the current design snow. KEYWORDS: snow bridge, glide factor, snow 1. INTRODUCTION This study outlines changes in design guidelines and regional characteristics for avalanche supporting structures in Japan. And we briefly describe the work of the Civil Engineering Research Institute for Cold Region in designing the snow for snow bridges. First, the winter climate of Japan is outlined. In winter in Japan, seasonal winds carry cold, dry air from eastern Siberia over the Sea of Japan, where it picks up large amounts of moisture. When the air reaches the backbone range of the Japanese archipelago, it rises and cools, and the moisture precipitates as heavy snowfall. When the air reaches the leeward side of the backbone range, it is dry, so areas along the see little snowfall (Fig. 1). Fig. shows the normal values for annual maximum snow depth (JMA, 3). Areas with annual maximum snow depths exceeding 1 cm tend to be found in Hokkaido and on the western side of the mountain ranges of Japan s main island of Honshu. The values are between and 1 cm on the side of Honshu. In addition, snowy regions in Japan stretch a great distance * Corresponding author address: Yusuke Harada, Civil Engineering Research Institute for Cold Region, PWRI Walla Sapporo, Hokkaido 6-86; tel: +81-11-841-1746; fax: +81-841-9747; email: harada-y@ceri.go.jp from north to south. This means that winter temperatures and the physical properties of the snowpack differ from one region to another. The design guidelines for avalanche supporting High High Mechanism of snowfall on the Sea of Japan side in winter Cold dry seasonal winds Siberian Continent Cold air high above the ground Cold air high above the ground Moist air Moisture Sea of Japan Tsushima Current (warm) Seasonal winds Sea of Japan Seasonal winds Sea of Japan Backbone range Backbone range Sea of Japan side Low Hokkaido Honshu Low Typical winter pattern around Japan Typical winter pattern around Japan Dry air 4 N Fig. 1: A pattern typical for winter in Japan (upper). The snowfall mechanism for the Sea of Japan side of Japan (lower). (NNK, 8) Backbone range side 114

5 1 5 1 15 3cm Sea of Japan Honshu Island structures in Japan are based on the Technical Guideline for Defense Structures in Avalanche Starting Zones (hereinafter: the Swiss Guideline) developed in Switzerland in 1961. In the 198s, many snow bridges were collapsed by heavy snowfall in snowy areas of Honshu Island. In light of this, an increase in glide factor over the Swiss standard was set for the wet-snow areas of Honshu in the 199s. The details are discussed in Section. Recently, wet-snow avalanches are increasing in Hokkaido due to climate change. Hokkaido is the northernmost region of Japan and a dry-snow area. Therefore, we conducted snow measurements at two locations in Hokkaido to review the current design snow for snow bridges. The present paper compares the data with those taken about 5 years ago.. CHANGES IN DESIGN STANDARDS FOR AVALANCHE SUPPORTING STRUCTURES IN JAPAN As discussed in Section 1, the design guidelines for avalanche supporting structures in Japan are based on the Swiss Guideline. This section discusses the concept of elements associated with design load among the design conditions for Japanese snow bridges, on the basis of technical documents..1 Snow Sapporo Tokyo Sea of Okhotsk Hokkaido Fig. : Normal values for annual maximum snow depth (1971 ). (JMA, 3) Snow on a slope is calculated by using Equation (1) and Equation () (JCMA and SRC, 4) (Fig. 3). S N S H = γ s Q = S N KN a tanϕ (1) () Here, S N represents the component of snow in the line of slope per meter run of the supporting surface along the contour line (kn/m), S Q represents snow component normal to the slope per meter run of the supporting surface along the contour line (kn/m), γ s represents the unit weight of snowpack (kn/m 3 ), H represents the vertical snow height (m), K represents the creep factor, N represents the glide factor, φ represents the slope gradient, and a represents a coefficient dependent on snow type. Using the Swiss Guideline from the late 196s, snow bridges mainly have been designed and constructed in avalanche starting zones to address various snow conditions and other weather conditions. In the 198s, many snow bridges were collapsed by heavy snowfall in snowy areas of Honshu Island. After observations for reexamining the design snow for avalanche supporting structures, the design guidelines in Japan were revised in 199. The main revisions were to set the glide factor as 1.5 times the Swiss standard for wet-snow areas on Honshu. For Hokkaido, a drysnow area, the glide factor was set as equal to the Swiss standard (Tbl.1). Also, the idea of snow coefficient was introduced, to account for differences in snow between the fence ends and center. The creep factor (K) is roughly the same as that specified in the Swiss Guideline. Tbl. outlines the changes in design methods for supporting snow accumulated on a slope in Japan. Fig.4 shows the concept of snow coefficient. Snow prism H φ Fig. 3: Relationships of snow S N and S Q. S N S Q Snow bridge 115

Tbl. 1: Ground classes and glide factors. Classes Class 1 Class Class 3 Class 4 Ground conditions Coarse scree (d* 3 cm) Terrain heavily populated with smaller and larger boulders Areas covered with larger alder bushes or dwarf pine at least 1 m in height Prominent mounds covered with grass and low bushes (height of mounds over 5 cm) Prominent cow trails Coarse scree (d* ca. 1 3 cm) Short grass interspersed with low bushes (heather, rhododendron, bilberry, alder bushes and dwarf pine below approx. 1 m in height) Fine scree (d* 1 cm) alternating with grass and low bushes Smallish mounds of up to 5 cm in height covered with grass and low bushes, and also those alternating with smooth grass and low bushes Grass with shallow cow trails Smooth, long-bladed, compact grass cover Smooth outcropping rock plates with stratification planes parallel to the slope Smooth scree mixed with earth Swampy depressions Glide factor N Swiss Hokkaido Honshu Exposure Exposure WNW- N- ENE ENE- S- WNW WNW- N- ENE ENE- S- WNW 1. 1.3 1.8. 1.6 1.8.4.7..4 3. 3.6.6 3. 3.9 4.8 d* is the boulder diameter characteristic of the roughness of the ground surface. Tbl. : Changes in the design method for supporting snow accumulated on a slope in Japan. History of Implementations, Year Revisions and Improvements 1963 The Swiss Guideline is translated into Japanese. The Japanese guideline for design and installation is formulated. 198s A number of snow bridges are damaged by heavy snowfall, particularly by the heavy snowfall in 1981. 1988-199 The Public Works Research Institute of the Ministry of Construction conducts research on Honshu with a view to reexamining the design snow for avalanche supporting structures. The Civil Engineering Research Institute of Hokkaido Development Bureau performs measurements of snow acting on snow bridges. 199 The Guideline for Designing/Installing snow bridges is compiled. 1996 The Technical Guideline for Avalanche Prevention Work for Protecting Communities (draft) is compiled. 4 The 5 Handbook for Snow Removal and Snow Hazard Control is compiled and revised. Remarks It is proposed to set the glide factor for Honshu as one and half times that specified in the Swiss Guideline. The concept of snow coefficient is introduced. The glide factor specified in the Swiss Guideline is found to be appropriate in Hokkaido. It is proposed to set the glide factor as one and half times that specified in the Swiss Guideline in Honshu. The glide factor value specified in the Swiss Guideline is determined to be used as a glide factor for Hokkaido. Snow coefficients are introduced. This is based on the Guideline for Designing/Installing snow bridges in Japan. This is based on the Guideline for Designing/Installing snow bridges in Japan. 116

.3 Unit weight of snowpack In Japan, 3.5 kn/m 3 is used as the unit weight of snowpack when snow depth is less than 4 m. In the case that the snow depth exceeds 4 m, it is suggested that the value for a unit weight of snowpack should be determined, under the assumption that the value for unit weight of snowpack is 4.5 kn/m 3 when the snow depth is 7 m (Fig. 5). Upper fence Lower fence Snow cover distribution at the time of snow coefficient examination. End Supporting surface installed at separated structures. Upper fence Lower fence Endmost Snow bridge Center Legends S: Rounded grains C: Wet grains D: Vertical height The numbers are snow coefficients End The numbers are snow coefficients Center Supporting surface of endmost fences Fig. 4: Concept of snow coefficients.. Design snow depths In Japan, the maximum snow depth in the return period of 3 years is used as the design snow depth for highway snow-control facilities. On the other hand, the greater value between the maximum snow depth in the return period of 5 years and the maximum recorded snow depth is used as the design snow depth for snow-control facilities in communities. Unit weight of snowpack (kn/m 3 ) 4.5 3.5 Fig. 5: Unit weight of snowpack..4 Snow prisms The snow prisms described in the Swiss Guideline are employed in Japan without modification. The snow prism load is considered only when the load acting on the snow bridge (fixed type) is calculated. Snow bridges of suspended type are installed per-pendicular to the slope; therefore, snow prisms do not apply a load to them (Fig. 7)..5 End-effect load Since fences are installed separated structures, the snow load generated between fences (the end-effect load ) has to be considered. However, if snow coefficients are employed, endeffect load is not considered. 3. MEASUREMENT OF SNOW PRESSURE AT SNOW BRIDGES IN HOKKAIDO 3.1 Background 1. 1.. 3. 4. 5. 6. 7. Snow depth (m) Abe et al. (1994) measured snow acting on snow bridges installed on cut slopes along highways at the two points shown in Fig. 6 (Point 1: Nakayama Pass; Point : Shumarinai) for the six winters from 1988/89 to 1993/94 winter. The maximum total snow load acting on a snow bridge for the six winters was found to be about 8 kn at Nakayama Pass and about 6 kn at Shumarinai. This proved that the glide factor specified in the Swiss Guideline is appropriate. The result is reflected in the design of snow bridges in Hokkaido (Tbl. ). Due to the impact of climate change in recent years, wet-snow avalanches are no longer isolated to Honshu; they have become more likely to occur 117

even in Hokkaido. The authors are reexamining the design snow for snow bridges that are used in Hokkaido. Point Shumarinai bridge was supported by three wire cables, to each of which the tension load cell was attached. The snow load measured by three load cells was totaled. The suspended fences installed at Nakayama Pass were 5.5 m wide and. m high, and those installed at Shumarinai were 5.5 m wide and. m high. Point1 Nakayama pass Fig. 6: Measurement points ( points). 3. Measurement locations The measurements were performed at Point 1 (Nakayama Pass; Fig. 6) from 1/13 to 13/14 winter and at Point (Shumarinai; Fig. 6) in the one of 13/14 winter. Tbl. 3 shows the characteristics of two sites. Fig. 7: Snow bridges installed on a slope along a highway in Nakayama pass. Tbl. 3: Characteristics of two sites. Point 1 Nakayama Pass Point Shumarinai Length of slope 36 m 5 m Exposure south north Gradient 1:1.1 1:1. grass-covered grass-covered Ground conditions concrete slope 1.5m-wide frames (Fig. 7) berms separated, interrupted separated, in- Structures structerrupted struc- tures tures Distance between structures in the line of slope 13m 1m Maximum snow depth in the return period of 3 years* 35 cm 6 cm *Refered to the Highway Snowstorm Countermeasure Manual (CERI, 11) Supporting surface Wire cable φ Wire cable Tension load cell 3.3 Measurement method At both locations (Nakayama Pass and Shumarinai), a tension load cell (Fig. 8) was attached to a wire cable supporting an existing snow bridge installed on the slope, and the snow load was recorded in a data logger every hour. Each snow Fig. 8: Tension load cells. 3.4 Results The changes in snow load and snow depth are shown in Fig. 9 (a) (1/13 winter) and Fig. 9 (b) (13/14 winter), and changes in snow 118

are shown in Fig. 1 (a) (1/13 winter) and Fig. 1 (b) (13/14 winter). It should be noted that snow depths obtained at the road telemeter and the AMeDAS (Automated Meteorological Data Acquisition System) stations of the Japan Meteorological Agency in the vicinity of the measurement points were used as measurement points. In addition, the snow (kn/m) in Fig. 1 indicates the snow load per meter width of fence. The measurements indicate that the maximum snow load is obtained in March and April, when snowmelt begins; this is consistent with the findings of Kurokawa et al. (199). The maximum snow load measured at Nakayama Pass was 79.4 kn for the 1/13 winter and 8.5 kn for the 13/14 winter, and the maximum snow load measured at Shumarinai was 58.5 kn (13/14 winter). The values were found to be almost the same as those for maximum snow load measured by Abe et al. (1994) (Nakayama Pass: about 8 kn; Shumarinai: about 6 kn). It should be noted, however, that the maximum snow load obtained by Abe et al. was obtained from measurements performed for six winters. In this measurement, the maximum value for every measurement case was almost the same as that recorded in the past. Additionally, the design snow at the fence installation point calculated by using Equation (3). R = S N + S Q Here, R is resultant snow. The results were 4.4 kn/m at Nakayama Pass and 18.6 kn/m at Shumarinai, which were found to be much greater than those obtained in this measurement. (3) Snow load of Nakayama Pass (Point 1) Snow load of Shumarinai (Point ) Snow depth of Nakayama Pass (Point 1) Snow depth of Shumarinai (Point ) Snow of Nakayama Pass (Point 1) Snow of Shumarinai (Point ) Design snow of Nakayama Pass (Point 1) Design snow of Shumarinai (Point ) Snow load (kn) Snow load (kn) 1 (a) 1/13 winter 3 8 4 6 18 4 1 6 1/1 1/31 1/3 3/1 3/31 4/3 (b) 13/14 winter 1 3 8 4 6 18 4 1 6 1/1 1/31 1/3 3/1 3/31 4/3 Fig. 9: Changes in snow load and snow depth. Snow depth (cm) Snow depth (cm) Snow (kn/m) Snow (kn/m) (a) 1/13 winter 5 4 4.4KN/m 3 1 1/1 1/31 1/3 3/1 3/31 4/3 (b) 13/14 winter 5 4 4.4KN/m 3 18.6KN/m 1 1/1 1/31 1/3 3/1 3/31 4/3 Fig. 1: Changes in snow. 119

4. CONCLUSION This paper outlined changes in Japanese design standards for avalanche supporting structures and regional characteristics, and it discussed snow measurements performed in Hokkaido in two winters. In Japan, avalanche supporting structures are designed based on standards specified in the Swiss Guideline developed in 1961. However, the weather conditions in Japan differ from those in Switzerland. This is particularly true for Honshu, where the temperatures are higher, the snow tends to be wet and the snowfall amounts tend to be great. Despite this variation, snow bridges mainly have been designed and constructed in avalanche starting zones. In the 198s, many snow bridges were damaged by heavy snowfall. Hence, the glide factor was changed to 1.5 times the previous glide factor for Honshu, since the snow there tends to be wet. In contrast, in Hokkaido, the glide factor was set as equal to the Swiss standard. Climate changes in recent years have made wetsnow avalanches more likely to occur even in Hokkaido, and not just on Honshu. In light of this, the design snow for the snow bridges that are currently used in Hokkaido is being reexamined. In the past two years, the snow acting on snow bridges has been measured, as a result of which it was found that the maximum measured values were almost the same as those obtained during the six winters from 1988 to 1993. Also, the measured snow was lower than the current design snow. In the future, measurements will be performed on snow acting on the supporting surface of snow bridges as well as on snow load acting on the main cables. In addition, data on creep and glide velocities, snow density and weather conditions must be accumulated. On the basis of the obtained results and data, further examinations will be made toward clarifying whether the snow load has increased in recent years in Hokkaido and determining whether the design standard needs to be reevaluated. Japan Construction Mechanization Association (JCMA) and Snow Research Center (SRC), 4: Avalanche protection. 5 Handbook for Snow Removal and Snow Hazard Control, 143-46. [In Japanese] Japan Meteorological Agency (JMA), 3: Climatic Atlas of Japan for the Period of 1971-. Kurokawa K. and T. Meike, 199: Results of measurements of snow acting on snow bridges. Proceedings of the 35 th Technology/Research Conference of Hokkaido Regional Development Bureau. [In Japanese] Ministry of Construction and Snow Research Center (SRC), 1996: Technical Guideline for Avalanche Prevention Work for Protecting Communities (draft). 17 pp. [In Japanese] Niigata Nadare Kenkukai (NNK), 8: Nadare no hanashi (The story of Avalanches). Niigata Nippo Jigyousha Corp., 18-19. [In Japanese] SLF, 7: Defense structures in avalanche starting zones. 134 pp. Snow Research Center (SRC), 199: The Guideline for Designing/Installing snow bridges in Japan. 113 pp. [In Japanese] REFERENCES Abe H., K. Ishimoto, K. Kurokawa, 1994: Measuring results of Snow Pressure and distribution to Guy Supported Fence in Hokkaido. Cold Region Technology Conference,1, 1-4. [In Japanese] Civil Engineering Research Institute for Cold Region, 11: Highway Snowstorm Countermeasure Manual (Revised Edition 11), 1-4-18. [In Japanese] 1