Risk Assessment of Encountering Killer Waves in the Black Sea

Ivanov, V. P.; Дулов, В. А.; Kuznetsov, Sergei A.; Dotsenko, S. F.; Shokurov, Mikhail; Saprykina, Yana; Malinovsky, Vladimir S.; Polnikov, V. G.

doi:10.15356/2071-9388_01v05_2012_07

Cited by 3 publications

(4 citation statements)

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“…The values of statistical moments go beyond the specified limits when abnormal waves (freak waves) are present on the surface. In these situations, the values 4  exceed 4 [16,17], the values 3  may be lower than -0.3 [18]. Measurements carried out in the field and laboratory conditions showed that 3  and 4  are not correlated with each other [19,20].…”

Section: Data For Simulationmentioning

confidence: 97%

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Simulation of sea surface elevations by the Edgeworth distribution

2023

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The possibility of reliable monitoring of processes occurring near the ocean-atmosphere boundary is determined by how fully and correctly the geometric structure of the sea surface is described. The paper analyzes the possibilities of approximating the probability density function (PDF) of sea surface elevations by truncated Edgeworth series. The possibility of increasing the truncation order by using a regression equation linking the third and fifth statistical moments is considered. It is shown that the Edgeworth distribution, as well as the Gram-Charlier distribution, allows us to correctly describe PDF only in a limited region the width of which approximately corresponds to 1.25 significant wave height.

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Section: Data For Simulationmentioning

confidence: 97%

“…It should be noted that the calculations were also carried out at 4 4 =  , which corresponds to the situation when abnormal waves are observed on the sea surface [17]. In this situation, negative values of the Edgeworth and Gram-Charlier distributions do not appear in the region 5  x .…”

Section: Negative Pdf Valuesmentioning

confidence: 99%

Simulation of sea surface elevations by the Edgeworth distribution

2023

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“…MM5 model, which was adapted to the Black Sea region in MHI, was used for retrospective studies of individual mesoscale atmospheric processes and extreme events -quasitropical cyclone of 25-30 September 2005 [Efimov et al, 2008], breeze circulation [Efimov, Barabanov, 2009], precipitation leading to extreme floods in the Crimean rivers [Ivanov et al, 2012b]. The results of MM5 and WAM models calculations were used to analyze the conditions of formation of the 12-meter rogue waves on 1 February 2003, near Gelendzhik [Ivanov et al, 2012a]. Verification of models using direct measurements in the Black Sea region was discussed in [Shokurov, 2011].…”

Section: System Of Short-term Meteorological Forecastmentioning

confidence: 99%

Sustainable Management of River Oases Along the Tarim River (P.R. China) and the Ecosystem Services Approach

Cyffka¹,

Rumbaur²,

Disse³

et al. 2013

GES

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The paper discusses a mapping method for compilation of maps for a medical-geographical Atlas of Russia "Natural Focal Diseases" and potential that this Atlas presents for assessment and monitoring of the epidemiological situation in a number of diseases. A series of analytical, integrated, and synthetic maps shows disease incidence in the population at both the national and regional levels for the last 15 years. The Atlas contains maps of the mean annual incidence of certain infections and maps of incidence dynamics and nosological profiles that allow detailed analysis of the situation for each of 83 subjects of the Russian Federation. The degree of epidemic hazard in Russia by naturally occurring is reflected in a synthetic medical-geographical map that allows one to estimate the risk of a disease manifestation in a given region.

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“…Risk assessment is the subject of many studies [e.g., Assessment and Natural Risk Management, 2003;Yelkin, 2004;Ivanov, Dulov, Kuznetsov, et. al., 2012], however, the task is still urgent.…”

Section: Introductionmentioning

confidence: 99%

Risk Assessment Based on Mathematical Morphology of Landscape Models (Case Study of Thermokarst Plains)

Victorov¹,

Kapralova²

2013

Geogr. environ. sustain.

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ABSTRACT. The paper presents a new approach for risk assessment of impact of thermokarst processes on engineering structures; it is based on the methods of mathematical morphology of landscape. The paper presents the results of the investigation of irregular (non-circular shape) thermokarst lakes. Remote sensing images of reference plots with thermokarst lakes were digitized; then, theoretical assumptions were applied and the simulation results were compared with empirical data to prove convergence. The analysis of the obtained results showed general agreement of empirical and theoretical data KEY WORDS: risk assessment, remote sensing, landscape pattern analysis, mathematical morphology of landscape

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Risk Assessment of Encountering Killer Waves in the Black Sea

Cited by 3 publications

References 0 publications

Simulation of sea surface elevations by the Edgeworth distribution

Simulation of sea surface elevations by the Edgeworth distribution

Sustainable Management of River Oases Along the Tarim River (P.R. China) and the Ecosystem Services Approach

Risk Assessment Based on Mathematical Morphology of Landscape Models (Case Study of Thermokarst Plains)

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