Become a Readings Member to make your shopping experience even easier. Sign in or sign up for free!

Become a Readings Member. Sign in or sign up for free!

Hello Readings Member! Go to the member centre to view your orders, change your details, or view your lists, or sign out.

Hello Readings Member! Go to the member centre or sign out.

Snow Avalanche Prediction in Grasdalen, Norway
Paperback

Snow Avalanche Prediction in Grasdalen, Norway

$154.99
Sign in or become a Readings Member to add this title to your wishlist.

This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

Snow avalanches are a common hazard in many mountainous environ ments. As such, it is often necessary to be able to predict these events. In this study detailed analysis of weather parameters in western Norway has established common triggering factors for avalanches in Grasdalen. Two large sets of weather data have been used. A number of wind drift factors have been derived, as several authors consider these to be important. Statistical procedures were applied, including cumulative probability plots and classification trees. The latter highlighted the most important weather parameters used to classify data in terms of dry avalanche days or non avalanche days. Results of these indicate important splitting factors to be various sums of precipitation and the maximum temperature. The combined wind drift factors were con sidered less important. These results are not in total agreement with previous authors, however, this study serves as a critical appraisal of current statistical methods of avalanche prediction and would be useful for avalanche forecasters and researchers.

Read More
In Shop
Out of stock
Shipping & Delivery

$9.00 standard shipping within Australia
FREE standard shipping within Australia for orders over $100.00
Express & International shipping calculated at checkout

MORE INFO
Format
Paperback
Publisher
VDM Verlag Dr. Muller Aktiengesellschaft & Co. KG
Country
Germany
Date
21 November 2008
Pages
128
ISBN
9783639071351

This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

Snow avalanches are a common hazard in many mountainous environ ments. As such, it is often necessary to be able to predict these events. In this study detailed analysis of weather parameters in western Norway has established common triggering factors for avalanches in Grasdalen. Two large sets of weather data have been used. A number of wind drift factors have been derived, as several authors consider these to be important. Statistical procedures were applied, including cumulative probability plots and classification trees. The latter highlighted the most important weather parameters used to classify data in terms of dry avalanche days or non avalanche days. Results of these indicate important splitting factors to be various sums of precipitation and the maximum temperature. The combined wind drift factors were con sidered less important. These results are not in total agreement with previous authors, however, this study serves as a critical appraisal of current statistical methods of avalanche prediction and would be useful for avalanche forecasters and researchers.

Read More
Format
Paperback
Publisher
VDM Verlag Dr. Muller Aktiengesellschaft & Co. KG
Country
Germany
Date
21 November 2008
Pages
128
ISBN
9783639071351