AN OVERVIEW ON FORECASTING ASSESSING AND MITIGATING AVALANCHE RISKS Sandeep Sushil Srivastav1 and Dr Shri Ram2 Department of Civil Engineering. Madan Mohan Malviya Uniiversity of Technology, Gorakhpur, India E-mail:,1sandeepsushilsrivastava@gmail.com, 2src_gkp@rediffmail.com ABSTRACT Avalanche events depend not only on the accumulated snow cover over the mountain slope but also the subsequent snowfall intensity. Spatial snow holding capacity of mountain slopes and the probability of initiation of snow avalanches over parts of Beas River valley, Uttarakhand, India, was attempted using maps showing terrain characteristics and satellite images along with meteorological information. Contributory factors in retaining the snowfall, snow fall variation and snow pack characteristics were ranked and assigned weight age towards the avalanche initiation based on the reported events in the region. Spatial distribution of Snow Accumulation Zone (SAZ), Snow fall Area (SFA) and Snow Pack Stability (SPS) assessment criteria was developed. Mountain forests play a crucial role in avalanche mitigation by hindering avalanche formation. Nevertheless, due to the complex interactions between ecological conditions, terrain, snowpack and meteorological parameters the protective effect of forests may be reduced. Channels, it is still the forecasters ultimate responsibility to check and modify the computer's prediction. This new way of avalanche forecasting, which we call 'computer aided avalanche forecasting'. The goal was to review past and current avalanche research, education, and forecasting efforts around the world, and based on these to provide recommendations and a roadmap for future efforts. In this paper, we present future key directions and priorities in the areas of research, education and forecasting. Our future research topics are location unique, but the results of which have worldwide implications. KEYWORDS: Forecasting, Mitigation, Avalanche risks. INTRODUCTION Avalanches are one of the major geological hazards in the Himalayan-Hindukush belt of South Asia causing enormous damage to life and property particularly in areas close to the snowline. On a global scale, the South Asian region is one of the hot spots of avalanches and associated slope failure phenomena. Masses of snow-and ice crystals admixed with air decending from mountain top at very high speed and flowing like rivers of snow and ice blocks in the valley below are known as avalanche. A avalanche is defined as a fast, down-slope moving mass of snow along-with associated debris which is capable of damaging most manmade structures such as highways, railways, houses etc. FACTORS USED FOR CLASSIFICATION OF AVALANCHES Classification Factor Classification efinition CLASSIFICATION CLASSIFICATION DEFINITION FACTOR FACTOR Avalanche Consist of snow Loose snow avalanche crystals of snow admixed with air, the loose in aggregate set in motion by snow-storms. Type of occurrence Avalanches that start to move Slab avalanche suddenly over wide areas, normally large in scale. Avalanches that contain no Dry snow avalanche water. Type of snow Avalanches that contain water. Wet snow avalanche Surface layer avalanche Slip surface exists within the snow cover Surface layer avalanche Full- depth avalanche Slip surface occurs on the ground surface CHARACTERISTIC FEATURE OF AVALANCHE MOVEMENT Powder This type avalanche often reaches a depth of several tens of meters, taking avalanche the form of snow powder moving at a high speed. These most often occur during snowfalls at low temperature. Flow avalanche This type of avalanche appears to move as a flow of water over the snow surface. These are seen as full- depth avalanche occurring when atmospheric temperature increases. Mixed avalanche Powder type and flow avalanches occurring in combination. This type avalanche can occur quickly when large quantity to snow falls over unstable snow cover. REVIEW OF LITERATURE Michaela Teich et al., (2011-12). They have given their review about the Forecasting forest avalanches. They studied about snow and weather situation as they characterized winter 2011/12 by several large snowfall events in December and January which resulted in a well above average snow depth i.e. about 1.5 to 2 times the normal snow depth in most part of Swiss alps. In mid February, the snow pack structure in open unfrosted terrain generally consisted of a well consolidated middle and lower part without significant weak layers, more snow and snowpack parameters (in addition to snow depth and new snow height) could be implemented into the model to increase its applicability for forest avalanche forecasting Krister Kristensen et al., (2011-12).They studied about the “Avalanche forecasting and risks mitigation for specific objects at risks” They assessed Objects and individuals can be exposed to different levels of avalanche hazard there is a need in Norway for both regional and local avalanche forecasting. It would be useful to discuss procedures on how to communicate danger locally and the relationship between regional and local forecast. A.Ganju and A.P.dimri (2002). They studied about Prevention and Mitigation of Avalanche Disasters in Western Himalayan Region. In this paper they discuses the cause of avalanches, the magnitude of their destruction power and the techniques followed in India by the Snow and Avalanche Study Establishment (SASE), a DRDO Laboratory, for mitigating avalanche disasters in Western Himalayan Region for the defense forces. The authors suggest that an integrated plan for mitigating the avalanche disasters should be set up at national level, involving defense forces and state governments. There is also a requirement for improving the accuracy of avalanche forecasting by developing avalanche-forecasting models for different areas. If models are to produce accurate results, there is a need to enlarge the observatory network (Automatic Weather Station based). For projected weather conditions there is a requirement to develop a Quantitative Precipitation Forecast (QPF) model. And finally, there should be some national policy for creating well equipped and trained Avalanche Safety and Rescue Organization Omer Murat Yavas et al., (2009). They studied about Avalanche Disasters in Turky. Their study For decreasing the losses and damages because of snow avalanches, using of avalanche risk Map which creates from avalanche maps is best method. Par avalanche structures will project according to these maps. This will provide financial benefit. Maps are used in selection of resettlement areas because of natural disasters. This will provide safe settlement against avalanche. Jurg Schweizer et al., (2009).They studied about On forecasting large and infrequent snow avalanches. They have analysed the avalanche activity for the well documented Salezertobel avalanche path near Davos (Switzerland) for the period 1950–1951 to 2007–2008. The return period for an avalanche to the road level (now protected by a shed) was 5 years. For the analysis, they used snow and weather data from two locations, one representative for the starting zone , the other for the run-out zone. The data collected at the valley bottom were as useful as the data from the elevation of the starting zone. Forecasting based on data from Weissfluhjoch—though highly correlated with large avalanche events — caused more false alarms than when the data from Davos were used. Though the conditions at the elevation of the starting zone are undoubtedly better captured with automatic stations at this elevation, the data might not be appropriate for forecasting extreme events due to their inherent low predictability. G.B.Crosta et al., (2006). They studied about Forecasting hazard scenarios and implications for the evaluation of countermeasure efficiency for large debris avalanches. They assessed the design criteria for passive counter measures are lacking, and very often the working conditions are also unknown. Regardless of the uncertainties and variations, the most important parameters necessary to the reasonable design for all mitigation structures are those of a kinematic type are debris moving velocity, maximum discharge or hydrograph and volume. Also, designs of mitigation structures are very site specific and must include both the character of the subject event, and the runout path and deposition zone. One of the important tools for mitigation structure evaluation is a mobility analysis of the entire runout process, which may not be used to estimate the hazard zones in potential debris released areas and the dynamic parameters during runout. Markus Eckerstofer et al., (2013).They studied about Avalanche research, education and forecasting in Svalbard, Norway – A roadmap provided by an expert workshop in Longyearbyen, April 2013. Using the research efforts undertaken to date as starting point, the three interrelated topics of, avalanche research, education and forecasting were discussed during the expert workshop. This was complimented with several field trips into the local surroundings to help the participants familiarize themselves with the local issues and snow and avalanche setting Future avalanche research, avalanche education, avalanche forecasting to improve climate and snow observations K.Srinivasan et al., (2005). They studied about Usefulness of mesoscale weather forecast for avalanche forecasting. Qualitative and site-wise prediction of avalanches as well as integrated avalanche forecast models require precise weather forecast. Ideally speaking, the numerical forecast of the following weather elements up to 7 km altitude at least 24 h in advance, preferably 3 days in advance, is required for the purpose of avalanche forecasting or for the use of avalanche forecast models. Peter Carter et al., (2004). They studied about “Evaluating the stuff block ant tilt board snowpack stability tests as snow avalanche forecasting tools”. Result indicates during the winter there were eight major avalanche cycles with each cycle producing numerous natural avalanches outside the ski area. MAJOR CAUSES OF SNOW AVALANCHES ITEM DESCRIPTION Topographic factors Prime factor Vegetation factors Weather factors Exciting factor Other factors AVALANCHES PRONE AREAS IN INDIA The snowbound belt of Western and Central Himalaya and to some extent in Eastern Himalaya known as avalanche prone area. Indian Himalaya stretches from east to west for about 2500 km across 72°E to 96°E long. And 26°N to 37°N lat. From the main Himalayan belt, the main mountain system is divided into three principle zones. These are the Great Himalaya, Lesser Himalaya and the Outer Himalaya. The Himalaya have about 43,000 km2 of permanent ice bound area. The Himalayas are well known for the occurrence of snow avalanches particularly Western Himalayas I .e. the snowy regions of Jammu and Kashmir, Himachal Pradesh, Sikkim and Uttarakhand Uttarakhand - Parts of Tehri Garhwal and Chamoli districts are vulnerable areas. Jammu and Kashmir - Higher reaches of Kashmir and Gurez valleys, Kargil and Ladakh and some of the major roads. FACTOR • Inclination of slope • Shape of slope • Orientation of slope • Vegetation cover and height of trees • Vegetation cover and its thickness • Depth of snow cover • Wind velocity • Atmospheric and snow temperatures • Increase in weight of snow cover because of snow • Dropping from cornices or snow covers Himachal Pradesh - Chamba, Kullu- Spiti and Kinnaur vulnerable areas. AVALANCHE ZONES Red Zone - The most dangerous zone where snow avalanches are most frequent and have an impact pressure of more than 3 tonnes per square metre. Blue Zone - Where the avalanche force is less than 3 tonnes per square metre and where living and other activities may be permitted with connection of safe design but such areas may have to be vacated on warning. Yellow Zone - Where snow avalanche occur only occasionally. AVALANCHES OCCURRENCE When the weight of the snowpack exceeds the shear strength within it and the mass of snow slides down slope. When a large slab of snow breaks free from the layers beneath and starts moving downward with a relatively high velocity – it accounts for around 90 percent of avalanche-related fatalities. When a snowpack becomes saturated with water and tends to spread out from a point. TYPES OF DAMAGE Damage to roads caused by avalanches the scale of damage can differ depending on the scale and type of avalanche traffic blocked by snow deposited on road surface avalanches damage road structures, such as retaining walls, overturned as well structures damaged by an avalanche during construction of roads occur most frequently. AVALANCHE INCIDENTS IN INDIA DURING PAST YEARS Catastrophic snowstorm and avalanches played havoc in the Himalayan State of Uttarakhand, a snow avalanche triggered from the Gomukh glacier area caused the death of one person and injured nine persons on 3 June 2008. Among the injured, one tourist was from the United Kingdom and three were from the United States.The area attracts thousands of pilgrims and tourists every year who visit the Gomukh glacier and the shrine at Gangotri. In another incident on 24 June 2008, an avalanche triggered by heavy precipitation near the Hemkund Sahib shrine in Rudraprayag district of Uttrakhand killed six pilgrims on the spot and injured more than 40 people. In another event on 21 September 2008, 3 persons were killed in a snow storm and another 37 persons were rescued from Kalindi-Badrinath track in the Garhwal Himalaya, Uttarakhand. In Himachal Pradesh on 22 September 2008, an avalanche triggered from the snow covered peaks wrecked havoc along the Manali-Leh Highway in Mandi district by killing seven persons and twelve persons went missing. In Jammu and Kashmir during the first half of February 2008. More than 30 persons were killed in avalanches during 8-9 February 2008 particularly in Doda, Ramban and Kishtwar districts of the state, village of Ramban district, six persons of a family were buried when an avalanche struck their house. In another fatal incident in Jammu and Kashmir on 18 November 2008, six army personnel were killed. INDIAN INITIATIVES TO MITIGATE AVALANCHE RISKS In India, the Snow and Avalanche Study Establishment (SASE), is an unique agency dedicated to the study of avalanche related hazards and their mitigation. It was set up in 1969 near Manali to combat the hazards of snow and avalanches. SASE was initially assigned the task of studying snow and avalanche problems along certain mountain highways in the snowbound belt of Indian Himalayas. This was subsequently extended to encompass various other roads. SASE’s major activities and achievements include Avalanche mapping, in which a number of highways and lateral road axes in Jammu and Kashmir, Himachal Pradesh and Uttarakhand have been studied for identification and registration of snow avalanche paths, snow drift deposition and ice formation sites, frequency and severity of avalanche activity, and the extent up to which highways are affected. SASE’s produced an avalanche atlas with details such as frequency of occurrence of avalanches, magnitude of damage, proposed control measures, etc. Automatic Weather Stations (AWS) network has been established in high altitude regions of Jammu and Kashmir, Himachal Pradesh and Uttarakhand for acquiring uninterrupted snow and meteorological data. The data from all the stations are received at RDC SASE.An observatory network has been set up for acquiring snow and meteorological data which aids in avalanche forecasting, also high altitude manned observatories have been set up in Jammu and Kashmir, Himachal Pradesh and Uttarakhand. Avalanche forecasting programmes have been initiated which include issuing of avalanche warning bulletins for generating awareness amongst the users and reduce casualty rates, snow bulletins for selected regions of Jammu and Kashmir, Himachal Pradesh and Uttarakhand are given to the media and also broadcast on All India Radio (AIR). Artificial triggering of avalanches by different methods has been experimented and the methodology for De-icing of roads has been developed. Recent Initiatives towards avalanche risk mitigation, a Memorandum of Understanding (MoU) was signed on 1 May 2008 by the Indian Space Research Organisation (ISRO) with the Snow and Avalanche Study Establishment (SASE) of the Defence Research and Development Organisation (DRDO) for the installation of two Doppler Weather Radars in the Himalayan region for climate studies. The indigenously developed Doppler Weather Radar (DWR) operate in the S band and are capable of monitoring clouds, precipitation systems and winds over large areas of more than 400 km from the radar location. ASSESSMENT OF HAZARDOUS SLOPES Advise residents of avalanche risk areas using published maps. Afforestation programmes for areas where there is risk of avalanches. Trap avalanches by control measures. Dispose avalanche potential snow packs by artificial triggering. Predict occurrence of avalanches through stability analysis and issue warnings as and when necessary. Guide residents to emergency evacuation shelters. MITIGATION OF AVALANCHE HAZARDS Strategy One way of coping with the hazard of avalanche is to reduce their intensity and destructiveness by raising barriers or such engineering structures in their paths, or diverting their course. The snow and Avalanche Study Establishment roads has achieved considerable success in forecasting the occurrence of avalanche on strategic roads. When stressed, the crystals of ice and snow, characterized by microscopic fractures, emit supersonic signals which can be detected and monitored as warning signals. Pre-emptive artificial triggering This experiment has been used for avalanche of small size by repeatedly hurling explosive projectiles on the snowy slopes, blowing off the overhanging cornices and releasing potential avalanche avalanches without allowing them to grow to an unmanageable size. Avalanche – Preventing In the upper part of the slope where avalanches commonly develop and are triggered, structures normal to the slope direction are constructed. The retaining structures in the upper part of the slope prevent buildup of stresses in snow masses in the formation zone and thus prevent avalanche occurrence. Retaining walls of steel and concrete help avert rupturing of snow heels that give rise to slab avalanches. Below the tree line the snow drift control structures include snow bridges or snow rakes of timber or aluminum, or steel tubes and pre-stressed concrete, or snow nets of wire or nylon ropes. railroad project, questions often arise on the forecasting of the danger to specific objects at risk. highlights possible improvements of the tested approach for forest avalanche forecasting. To strengthen our assumptions, further investigations of the snowpack in forests and the comparison with its development in open unforested terrain as well as reanalyzing existing snow profiles recorded in forests would be highly valuable. Based on such investigations, more snow and snowpack parameters (in addition to snow depth and new snow height) could be implemented into the model to increase its applicability. Avalanche ramps allow passage over installations and buildings. Avalanche wedges deflect the snow, break the speed of descending masses of snow and ice and thus provide protection to buildings and installations. This is being done to protect the temples of Badrinath. Underground construction is the best measure against avalanche chronically affected areas. The Banihal tunnel on the jammu-srinagar highway was constructed to avoid endemic avalanches on the slope of Pir Panjal Range. CONCLUSIONS Extraordinary avalanche events result from unusual snowpack’s, unusual storm events, or both.. Avalanche activity was notable throughout the region, and resulted in considerable damage to buildings and forests, disruption of recreational facilities and transportation corridors, and several fatalities. Damage and death tolls during a similar event in the future might be much higher since the mountain ranges of the Himalaya are coming under increasing development pressure, thereby increasing the human exposure to avalanches. DISCUSSION Using the research efforts undertaken to date as starting point, the three inter related topics of, Avalanche research, education and forecasting were discussed during the expert workshop. This was complimented with several field trips into the local surroundings to help the participants familiarize themselves with the local issues and snow and avalanche setting during a highway or a REFERENCES [1] Anderson, J. and Anderson, S.: A Monte Carlo Implementation of the Nonlinear Filtering Problem to Produce Ensemble Assimilations and Forecasts, Mon. Weather Rev., 2741–2758, 1999. [2] Bebi, P., Kienast, F. and Schönenberger, W., 2001.Assessing structures in mountain forests as abasis for investigating the forests Diversionary Structures dynamics and protective function. Forest Ecology and Management 145, 3–14. [3] Calvetti, F., Crosta, G., Tatarella, M., 2000. Numerical simulation of dry granular flows: from the reproduction of smallscale experimentsto the prediction of rock avalanches. Rivista Italiana diGeotecnica A.G.I. 21 (2), 21– 38. [4] Kristensen, K., Kronholm K. and Bjørdal, N.H. 2008.Avalanche Characterization for Regional Road Forecasting. Proc. ISSW’08. Whistler, Canada. [5] McClung, D.M. and Schaerer, P. 2006. The Avalanche Handbook. 3rd ed. The Mountaineers Books. Seattle WA USA.342 p. [6] Iverson, R.M., Denlinger, R., 2001. Flow of variably fluidized granular masses across three-dimensional terrain: 1. Coulomb mixture theory. Journal of Geophysical Research 106 (B1),537–552.