scholarly journals Warning System Options for Landslide Risk: A Case Study in Upper Austria

Resources ◽  
2017 ◽  
Vol 6 (3) ◽  
pp. 37 ◽  
Author(s):  
Anna Scolobig ◽  
Monika Riegler ◽  
Philipp Preuner ◽  
JoAnne Linnerooth-Bayer ◽  
David Ottowitz ◽  
...  
Keyword(s):  
Warning System ◽  
Landslide Risk ◽  
Upper Austria

scholarly journals A Participatory Process to Develop a Landslide Warning System: Paradoxes of Responsibility Sharing in a Case Study in Upper Austria

Resources ◽  
2017 ◽  
Vol 6 (4) ◽  
pp. 54 ◽  
Author(s):  
Philipp Preuner ◽  
Anna Scolobig ◽  
JoAnne Linnerooth Bayer ◽  
David Ottowitz ◽  
Stefan Hoyer ◽  
...  
Keyword(s):  
Warning System ◽  
Participatory Process ◽  
Upper Austria

Effectiveness of Truck Rollover Warning Systems

2001 ◽  
Vol 1779 (1) ◽  
pp. 134-140 ◽  
Author(s):  
Derek Baker ◽  
Rob Bushman ◽  
Curtis Berthelot
Keyword(s):  
North America ◽  
Warning System ◽  
Warning Systems ◽  
Commercial Vehicles ◽  
Decision Criteria ◽  
Warning Messages ◽  
System A ◽  
Different Types ◽  
Rollover Warning

Different types of intelligent rollover system deployed by road agencies across North America are investigated. The importance of weight is addressed for maximum effectiveness of rollover warning messages for commercial vehicles in a potential rollover situation on sharp curves or exit ramps. The type of information that may be used to activate a rollover is discussed to analyze the number of correctly warned vehicles compared with the number of false warnings generated by the rollover warning system. A case study of the effectiveness of an intelligent rollover system is presented. On the basis of this case study, it was found that speed-based rollover warning systems generated anywhere from 44 percent to 49 percent more false rollover warnings for commercial vehicles than did rollover warning systems that employed weight information in the rollover decision criteria.

Landslide Risk Level Assessment Based on Erosion-Induced Landslide: A Case Study at Uitm Campus, Selangor

2017 ◽  
pp. 29-40
Author(s):  
Mohd Fozi Ali ◽  
Muhammad Solahuddeen Mohd Sabri ◽  
Khairi Khalid ◽  
Nor Faiza Abd Rahman
Keyword(s):  
Risk Level ◽  
Landslide Risk

scholarly journals Application of data-based mechanistic modelling for flood forecasting at multiple locations in the Eden catchment in the National Flood Forecasting System (England and Wales)

2013 ◽  
Vol 17 (1) ◽  
pp. 177-185 ◽  
Author(s):  
D. Leedal ◽  
A. H. Weerts ◽  
P. J. Smith ◽  
K. J. Beven
Keyword(s):  
Warning System ◽  
Open Shell ◽  
Flood Forecasting ◽  
Mechanistic Modelling ◽  
Forecasting Models ◽  
Forecasting System ◽  
Environment Agency ◽  
The Uk ◽  
Modelling Approach

Abstract. The Delft Flood Early Warning System provides a versatile framework for real-time flood forecasting. The UK Environment Agency has adopted the Delft framework to deliver its National Flood Forecasting System. The Delft system incorporates new flood forecasting models very easily using an "open shell" framework. This paper describes how we added the data-based mechanistic modelling approach to the model inventory and presents a case study for the Eden catchment (Cumbria, UK).

scholarly journals ADAS Acceptability Improvement Based on Self-Learning of Individual Driving Characteristics: A Case Study of Lane Change Warning System

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 81370-81381 ◽  
Author(s):  
Qinyu Sun ◽  
Hongjia Zhang ◽  
Zhen Li ◽  
Chang Wang ◽  
Kang Du
Keyword(s):  
Warning System ◽  
Lane Change ◽  
Self Learning

scholarly journals Understanding of landslide risk through learning by doing: case study of Koroška Bela community, Slovenia

Landslides ◽  
2018 ◽  
Vol 16 (9) ◽  
pp. 1681-1690
Author(s):  
Mateja Jemec Auflič ◽  
Špela Kumelj ◽  
Tina Peternel ◽  
Jernej Jež
Keyword(s):  
Learning By Doing ◽  
Landslide Risk

scholarly journals Probabilistic landslide risk assessment: Case study of Bujumbura

2018 ◽  
Vol 251 ◽  
pp. 06011
Author(s):  
Gervais Shirambere ◽  
Maurice O. Nyadawa ◽  
Jean pierre Masekanya ◽  
Timothy Nyomboi
Keyword(s):  
Risk Assessment ◽  
Monte Carlo Simulation ◽  
Landslide Risk ◽  
Cell Level ◽  
Monte Carlo Simulation Technique ◽  
Mapping Model ◽  
Coulomb Failure ◽  
Landslide Risk Assessment ◽  
Coulomb Failure Criterion

A spatial probabilistic landslide risk assessment and mapping model has been applied in a data scare region. The probabilistic model is based on a physical model based on Mohr coulomb failure criterion. A Monte Carlo simulation technique is applied to field collected data. The results are integrated and a probability of landslide is obtained at each cell level. The results are compared to a prepared landslide inventory. The overall accuracy of the model is 79.69%.

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