2011
DOI: 10.5194/nhess-11-2061-2011
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Rainfall threshold definition using an entropy decision approach and radar data

Abstract: Abstract. Flash flood events are floods characterised by a very rapid response of basins to storms, often resulting in loss of life and property damage. Due to the specific spacetime scale of this type of flood, the lead time available for triggering civil protection measures is typically short. Rainfall threshold values specify the amount of precipitation for a given duration that generates a critical discharge in a given river cross section. If the threshold values are exceeded, it can produce a critical sit… Show more

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Cited by 46 publications
(33 citation statements)
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“…In the field of rainfallrunoff analysis, Pechlivanidis et al (2010) proposed an entropy-based measure for the rainfall-runoff model diagnostic, and Pechlivanidis et al (2012) extended the work evaluating the non-dynamical information contained in streamflow analysis; Montesarchio et al (2011) and Ridolfi et al (2013) defined rainfall threshold values minimizing a risk function based on the entropy concept. Weijs et al (2010) proposed a theoretical framework based on relative entropy involving the analysis of a divergence score measure to evaluate the quality of hydrological forecasts.…”
Section: Introductionmentioning
confidence: 99%
“…In the field of rainfallrunoff analysis, Pechlivanidis et al (2010) proposed an entropy-based measure for the rainfall-runoff model diagnostic, and Pechlivanidis et al (2012) extended the work evaluating the non-dynamical information contained in streamflow analysis; Montesarchio et al (2011) and Ridolfi et al (2013) defined rainfall threshold values minimizing a risk function based on the entropy concept. Weijs et al (2010) proposed a theoretical framework based on relative entropy involving the analysis of a divergence score measure to evaluate the quality of hydrological forecasts.…”
Section: Introductionmentioning
confidence: 99%
“…To solve the problems of multi-attribute decision making under uncertainty, Yang et al [37] first proposed their expected utility-entropy (EU-E) model. Although the EU-E model has been applied in different fields, such as a decision-making model for large consumers on a smart grid [38], rainfall threshold analysis [39], stock selection [40], etc., few people could question the rationality of the EU-E model itself. Fischera [41] commented on Yang's model and pointed out its deficiencies, such as the impact of consequences was not considered for uncertainty analysis, however, it does not propose a reasonable alternative framework or model, but simply thinks that the EU model is enough to solve decision-making problems under uncertainty.…”
Section: Scheme Selection Under Multi-source Attributesmentioning
confidence: 99%
“…Allahverdyan et al [35] derived a measure of risk similar to the EU-E measure of risk and concluded that their risk measure has normative features. The EU-E model has also been applied in other fields, such as a decision-making model for large consumers on a smart grid [36] and in rainfall threshold analysis [37].…”
Section: Introductionmentioning
confidence: 99%