DOI: 10.5593/sgem2011/s11.109


Monday 1 August 2011 by Libadmin2011

11th International Multidisciplinary Scientific GeoConference SGEM2011, www.sgem.org, SGEM2011 Conference Proceedings/ ISSN 1314-2704, June 20-25, 2011, Vol. 2, 653-660 pp


Monitoring of environmental components, in relation to changes in global biochemical
cycles and the presence of their deposition, is one of the world`s most attractive areas of
research. This area plays an important role in the sphere of crisis management. One of
the dominant components of the environment is water, in all states, especially in forms
of snow and ice. Monitoring of weight and height of snow deposition concentrations is
the main task of research projects of environmental, geographical and technical studies.
These research projects try to find out how to predict the weight of snow accurately and
how to predict and measure the percentage of water inside and percentage of
accompanying materials. The main task is to predict the amount of water in the snow
cover, based on sensors in a wireless network and small format aerial photography
SFAP). The second task is to quantify the snow weight, based on collection of data
using a set of mobile sensors (pH meters, conductivity meters, ultrasonic altimeter, and
the conversion of height and weight in extreme conditions).
Due to the increasing occurrence of the snow cover in recent years, it is necessary to
dispose the technical solutions to identify and determine the actual weight of the snow
cover in relation to building (roof) safety. The method of measuring and prediction of
the snow weight by using sensors is not common in the Czech Republic. This method
brings new possibilities in measuring of spatial distribution in real time. To verify
correctness of results, SFAP methodology will be used. The scientific benefit arises
from the combination of knowledge achieved by conventional field work and the visual
information gleaned from SFAP. In monitoring studies, temporal changes of forms and
patterns give additional clues. Connection of field data and interpretation of SFAP may
lead to a deeper understanding of geo-scientific processes.

Keywords: snow hazard, sensor network, buildings, GIS

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