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2019
DOI: 10.5194/nhess-19-2583-2019
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Towards an automatic early warning system of flood hazards based on precipitation forecast: the case of the Miño River (NW Spain)

Abstract: Abstract. An early warning system for flood prediction based on precipitation forecast is presented. The system uses rainfall forecast provided by MeteoGalicia in combination with a hydrologic (Hydrologic Modeling System, HEC-HMS) and a hydraulic (Iber+) model. The upper reach of the Miño River and the city of Lugo (NW Spain) are used as a study area. Starting from rainfall forecast, HEC-HMS calculates the streamflow and Iber+ is automatically executed for some previously defined risk areas when a certain thre… Show more

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Cited by 25 publications
(26 citation statements)
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References 27 publications
(31 reference statements)
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“…The impact of climate change in terms of water levels within the estuary is nonlinear [26,27]. Indeed, an increase of the present ESL of 2.9 (scenario S01) to 3.6 m (scenario S08) results in different water level rise values along the estuary, considering only the hydrodynamic behavior.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The impact of climate change in terms of water levels within the estuary is nonlinear [26,27]. Indeed, an increase of the present ESL of 2.9 (scenario S01) to 3.6 m (scenario S08) results in different water level rise values along the estuary, considering only the hydrodynamic behavior.…”
Section: Discussionmentioning
confidence: 99%
“…A specific monitoring campaign [15] involving water level measurements was carried out at six different points in 2006 (points VP1 to VP6 in Figure 1). At the locations of Tui and Goian, coincident with continuous monitoring gauge stations of Galicia, Spain [27], water level measurements for the year 2019 were used. Different calibration strategies, involving different measurement points and periods, were analyzed in order to select the strategy that leads to the minimum cost function.…”
Section: Automatic Calibration Proceduresmentioning
confidence: 99%
“…Early Warning Systems (EWSs) are one of the methods and tools to increase urban resilience to geomorphological hazards. These systems are fundamental for disaster management and adaptation, and the preparation of response strategies, and are becoming increasingly used at the national and regional scales (Chikalamo et al, 2020;Corral et al, 2019;González-Cao et al, 2019;Harilal et al, 2019;Hofmann & Schüttrumpf, 2019;Krzhizhanovskaya et al, 2011;Ma et al, 2019;Parker, 2017;Rosi et al, 2015;Segoni et al, 2018). To be useful at the urban scale, EWSs should be implemented incorporating (1) geomorphologically based mapping; (2) an assessment of landslide-flood critical areas at the basin and local scales; (3) an integrated geodatabase for the management of base data and critical area mapping; (4) IOT (internet of things) networks of urban gauge-sensors, realized by taking into consideration the overall features of the specific catchments or urban areas (e.g.…”
Section: Introductionmentioning
confidence: 99%
“…In this framework, EWSs are fundamental tools for disaster (e.g., floods, landslides) management, adaptation, and the preparation of response strategies. They can be based either on statistical analyses of rainfall conditions associated with flood events, or definition of rainfall thresholds, or rainfall forecasts [22][23][24][25], as well as on the definition of flood susceptibility [26][27][28], and on mathematical prediction models [29][30][31]. EWSs are becoming increasingly popular from the national to the regional scale (e.g., ITalert-the Italian EWS system, expected by the end of 2020; Allarmeteo Service, http: //allarmeteo.regione.abruzzo.it/; Allerta Meteo Service, https://allertameteo.regione.emilia-romagna.it/; and CFR Toscana, http://www.cfr.toscana.it/; the regional-scale EWSs for the Abruzzo, Emilia Romagna, and Toscana regions, respectively).…”
Section: Introductionmentioning
confidence: 99%