scholarly journals Flood Forecasting Scheme of Nanshui Reservoir Based on Liuxihe Model

2021 ◽  
Author(s):  
Feng Zhou ◽  
Yangbo Chen ◽  
Liyang Wang ◽  
Sheng Wu ◽  
Guangzhe Shao
Keyword(s):  
Flood Forecasting

Assessment of Dual-Polarization Radar for Flood Forecasting

2015 ◽  
Vol 48 (4) ◽  
pp. 257-268
Author(s):  
Jeong-Bae Kim ◽  
◽  
Woo-Seok Choi ◽  
Deg-Hyo Bae
Keyword(s):  
Flood Forecasting ◽  
Dual Polarization

Hydrological and hydraulic model for flood forecasting in Rwanda

2021 ◽  
Author(s):  
Gisele Icyimpaye ◽  
Chérifa Abdelbaki ◽  
Khaldoon A. Mourad
Keyword(s):  
Flood Forecasting ◽  
Hydraulic Model

scholarly journals A pan-African medium-range ensemble flood forecast system

2015 ◽  
Vol 19 (8) ◽  
pp. 3365-3385 ◽  
Author(s):  
V. Thiemig ◽  
B. Bisselink ◽  
F. Pappenberger ◽  
J. Thielen
Keyword(s):  
Large Scale ◽  
Practical Implication ◽  
River Basins ◽  
Flood Forecasting ◽  
Small Scale ◽  
Flood Forecast ◽  
Flood Events ◽  
Forecast System ◽  
Pan African ◽  
Forecasting System

Abstract. The African Flood Forecasting System (AFFS) is a probabilistic flood forecast system for medium- to large-scale African river basins, with lead times of up to 15 days. The key components are the hydrological model LISFLOOD, the African GIS database, the meteorological ensemble predictions by the ECMWF (European Centre for Medium-Ranged Weather Forecasts) and critical hydrological thresholds. In this paper, the predictive capability is investigated in a hindcast mode, by reproducing hydrological predictions for the year 2003 when important floods were observed. Results were verified by ground measurements of 36 sub-catchments as well as by reports of various flood archives. Results showed that AFFS detected around 70 % of the reported flood events correctly. In particular, the system showed good performance in predicting riverine flood events of long duration (> 1 week) and large affected areas (> 10 000 km2) well in advance, whereas AFFS showed limitations for small-scale and short duration flood events. The case study for the flood event in March 2003 in the Sabi Basin (Zimbabwe) illustrated the good performance of AFFS in forecasting timing and severity of the floods, gave an example of the clear and concise output products, and showed that the system is capable of producing flood warnings even in ungauged river basins. Hence, from a technical perspective, AFFS shows a large potential as an operational pan-African flood forecasting system, although issues related to the practical implication will still need to be investigated.

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
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