Rock Mass Characterization and Rockfall Monitoring: Traditional Approaches
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985891%3A_____%2F23%3A00577447" target="_blank" >RIV/67985891:_____/23:00577447 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11310/23:10458170
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-031-23859-8_2" target="_blank" >http://dx.doi.org/10.1007/978-3-031-23859-8_2</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-23859-8_2" target="_blank" >10.1007/978-3-031-23859-8_2</a>
Alternative languages
Result language
angličtina
Original language name
Rock Mass Characterization and Rockfall Monitoring: Traditional Approaches
Original language description
Rock mass characterization and rockfall/rock slope stability monitoring methods are one of the fastest evolving research areas in the field of geosciences. Traditionally, simple mapping, geodetical or geotechnical methods are used. The ongoing rapid development of monitoring methods is conditioned by engineering challenges when new infrastructure is nowadays being constructed in complicated geological conditions. These are represented by mountainous areas, deep gorges with steep slopes, or even active landslide sites. Traditional methods can be used within these monitoring demanding sites and bring high-quality monitoring results, sometimes with higher precision than modern state-of-art methods. This chapter reviews traditional rock slope stability monitoring methods and discusses their advantages, applicability, and strong/weak sides. Traditional methods are compared against newly introduced, modern state-of-art methods.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
10505 - Geology
Result continuities
Project
<a href="/en/project/SS02030023" target="_blank" >SS02030023: Rock Environment and Natural Resources</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Landslides: Detection, Prediction and Monitoring
ISBN
978-3-031-23858-1
Number of pages of the result
31
Pages from-to
39-69
Number of pages of the book
419
Publisher name
Springer Natural AG
Place of publication
Cham
UT code for WoS chapter
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