Tsunami Forecasting and Warning

2011 ◽  
Keyword(s):  
Tsunami Forecasting ◽  
Forecasting And Warning

scholarly journals The Norwegian forecasting and warning service for rainfall- and snowmelt-induced landslides

2018 ◽  
Vol 18 (5) ◽  
pp. 1427-1450 ◽  
Author(s):  
Ingeborg K. Krøgli ◽  
Graziella Devoli ◽  
Hervé Colleuille ◽  
Søren Boje ◽  
Monica Sund ◽  
...  
Keyword(s):  
Flood Forecasting ◽  
Landslide Risk ◽  
Public Agencies ◽  
Positive Feedbacks ◽  
Public Road ◽  
Landslide Forecasting ◽  
Close Cooperation ◽  
Forecasting And Warning ◽  
Main Components ◽  
Recent Evaluation

Abstract. The Norwegian Water Resources and Energy Directorate (NVE) have run a national flood forecasting and warning service since 1989. In 2009, the directorate was given the responsibility of also initiating a national forecasting service for rainfall-induced landslides. Both services are part of a political effort to improve flood and landslide risk prevention. The Landslide Forecasting and Warning Service was officially launched in 2013 and is developed as a joint initiative across public agencies between NVE, the Norwegian Meteorological Institute (MET), the Norwegian Public Road Administration (NPRA) and the Norwegian Rail Administration (Bane NOR). The main goal of the service is to reduce economic and human losses caused by landslides. The service performs daily a national landslide hazard assessment describing the expected awareness level at a regional level (i.e. for a county and/or group of municipalities). The service is operative 7 days a week throughout the year. Assessments and updates are published at the warning portal http://www.varsom.no/ at least twice a day, for the three coming days. The service delivers continuous updates on the current situation and future development to national and regional stakeholders and to the general public. The service is run in close cooperation with the flood forecasting service. Both services are based on the five pillars: automatic hydrological and meteorological stations, landslide and flood historical database, hydro-meteorological forecasting models, thresholds or return periods, and a trained group of forecasters. The main components of the service are herein described. A recent evaluation, conducted on the 4 years of operation, shows a rate of over 95 % correct daily assessments. In addition positive feedbacks have been received from users through a questionnaire. The capability of the service to forecast landslides by following the hydro-meteorological conditions is illustrated by an example from autumn 2017. The case shows how the landslide service has developed into a well-functioning system providing useful information, effectively and on time.

A deterministic framework for selecting a flood forecasting and warning system at watershed scale

2014 ◽  
Vol 8 (4) ◽  
pp. 356-367 ◽  
Author(s):  
S. Golian ◽  
J. Yazdi ◽  
M.L.V. Martina ◽  
S. Sheshangosht
Keyword(s):  
Warning System ◽  
Flood Forecasting ◽  
Watershed Scale ◽  
Forecasting And Warning ◽  
Deterministic Framework

Near-field tsunami forecasting from cabled ocean bottom pressure data

2009 ◽  
Vol 114 (B6) ◽  
Author(s):  
Hiroaki Tsushima ◽  
Ryota Hino ◽  
Hiromi Fujimoto ◽  
Yuichiro Tanioka ◽  
Fumihiko Imamura
Keyword(s):  
Near Field ◽  
Ocean Bottom ◽  
Bottom Pressure ◽  
Pressure Data ◽  
Ocean Bottom Pressure ◽  
Tsunami Forecasting

Food Safety Test Information System Design

2012 ◽  
Vol 241-244 ◽  
pp. 2737-2740 ◽  
Author(s):  
Kai Chen ◽  
Hong Tan ◽  
Hong Bo Yang
Keyword(s):  
Food Safety ◽  
Warning System ◽  
Information Management System ◽  
Scientific Basis ◽  
Information System Design ◽  
Knowledge Database ◽  
Test Information ◽  
Safety Test ◽  
System Requirements ◽  
Forecasting And Warning

Informatization of food safety supervision overviews in China and some other countries were studied. With the combination of food safety supervision characteristics in Guizhou and quality system requirements for national food inspection laboratory, information management system for food safety in Guizhou was proposed. A knowledge database for categorizing determination factors of food hazard was established. This system was implemented in the food safety supervision of circulation links in Guizhou for 3 years (2009-2011). It solved problems such as quality control for massive sampling inspections and data analysis. Besides improving work efficiency, it provided scientific basis for decision making of food safety supervision to government as well as data support for food safety forecasting and warning system.

Flood Forecasting and Warning on the River Rhine

2000 ◽  
Vol 14 (1) ◽  
pp. 39-44 ◽  
Author(s):  
G. Steinebach ◽  
K. Wilke
Keyword(s):  
Flood Forecasting ◽  
River Rhine ◽  
Forecasting And Warning
Sign in / Sign up

Export Citation Format

Share Document