ABOUT THE PROJECT OF THE RUSSIAN FEDERAL PROPERTY FUND “REGULARITIES OF FORMATION OF DANGEROUS COASTAL PROCESSES IN THE SEA OF AZOV AND SOCIO-ECONOMIC CONSEQUENCES THEIR MANIFESTATIONS”

The article is devoted to one of the most urgent problems of modern Oceanology – marine litter. The purpose of this work was to study the distribution of marine litter on the coast of the sea of Azov. The article presents the results of field expeditions, during which observations were made on an wide network of points covering various parts of the coast, which differ both in the type and direction of coastal processes, as well as in recreational load and economic development. All marine litter was divided into 12 classes and an assessment of the occurrence of various classes was performed. The regularities of the distribution of various classes of marine debris are considered and information about their quantity in different areas is provided. There is a widespread contamination of the coast of the sea of Azov with mounting foam, which is potentially dangerous in the context of microplastic pollution of the marine environment.

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USING A DYNAMIC APPROACH FOR ZONING THE COAST OF THE SEA OF AZOV

Ecology Economy Informatics System analysis and mathematical modeling of ecological and economic systems ◽

10.23885/2500-395x-2020-1-5-207-213 ◽

2020 ◽

Vol 1 (5) ◽

pp. 207-213

Author(s):

A.E. Tsygankova ◽

◽

L.A. Bespalova ◽

O.V. Ivlieva ◽

A.A. Magaeva ◽

...

Keyword(s):

Coastal Zone ◽

River Flow ◽

Geological Structure ◽

Anthropogenic Factors ◽

Coastal Processes ◽

Coastal Protection ◽

Sea Of Azov ◽

Dynamic Approach ◽

The Sea Of Azov ◽

Geological Conditions

The purpose of this work is to comprehensively study the ecological and geological conditions and results of monitoring studies of the coastal territories of the Bay of Taganrog and the Sea of Azov to identify indicators for assessing natural risks. The object of research is a complex system of the coastal zone, consisting of subsystems of land, sea and coast. The subject of the study is the assessment of the risk of loss of territory as a result of various natural factors, both constant over time (geological structure, height of the coastal cliff) and changing (dynamics of the level, waves, wind conditions). Within this framework, we show the use of a dynamic approach for zoning the shores of the Sea of Azov, performed based on a comprehensive analysis of natural and anthropogenic factors that determine the development of dangerous coastal processes (DCP). All factors divided into two groups: those that increase the intensity of coastal processes and those that contribute to reducing their manifestations. It established that hydrodynamic factors in the development of DCP are the determining factors. Anthropogenic impact can be associated with both global and regional impacts, through ecosystem changes, regulation of river flow, environmental pollution, and local – irrational coastal protection, industrial and agricultural activities in the coastal zone, unauthorized removal of beach material, etc.

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ACTIVE, PASSIVE AND STABLE SHORES OF THE SEA OF AZOV

Ecology Economy Informatics System analysis and mathematical modeling of ecological and economic systems ◽

10.23885/2500-395x-2021-1-6-178-184 ◽

2021 ◽

Vol 1 (6) ◽

pp. 178-184

Author(s):

A.E. Tsygankova ◽

L.A. Bespalova ◽

A.A. Magaeva ◽

E.V. Bespalova ◽

D.A. Podkolzina

Keyword(s):

Geological Structure ◽

Coastal Processes ◽

Type I ◽

Sea Of Azov ◽

Natural Factor ◽

The Sea Of Azov ◽

Type Iv ◽

Geological Conditions ◽

Structure Height ◽

The Impact

The purpose of this work is to comprehensively study the ecological and geological conditions and the results of monitoring studies of the coastal territories of the Taganrog Bay and the Sea of Azov to identify the degree of manifestation of dangerous coastal processes (DCP). The subject of the study is to assess the degree of manifestation of DCP under the influence of various natural factors, both constant in time (geological structure, height of the coastal cliff), and changing (dynamics of the level, waves, wind regime) and the impact of man-made causes. The performed factor analysis allows us to assert that the main natural factor of the intensification of DCP is the extreme surge levels (adverse end dangerous events: AE and DE). The types of shores are constant, but with different degrees of manifestation of DCP, they change significantly. As a result, according to these studies, maps were constructed for the average long-term (1980), intensive manifestation (2013–2014) and the period with a relatively calm manifestation of the intensity of DCP (2018–2020). According to the activity, the manifestations of DCP are divided into 4 types: type I – with a very high c (>4 m/year), type II – with a high (2–4 m/year), type III – with an average (1–2 m/year), type IV – with a weak rate (<1 m/year) of abrasions, which include subtypes of banks formed by exogenous processes (abrasive, abrasive-landslide, accumulative), indicating the conditions of their formation and the reasons for the isolation of the danger of coastal processes.

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BAYESIAN NETWORK FOR RISK ASSESSMENT OF ABRASION PROCESSES IN THE COASTAL AREA OF THE SEA OF AZOV

Ecology Economy Informatics System analysis and mathematical modeling of ecological and economic systems ◽

10.23885/2500-395x-2021-1-6-40-46 ◽

2021 ◽

Vol 1 (6) ◽

pp. 40-46

Author(s):

V.V. Kulygin ◽

Keyword(s):

Risk Assessment ◽

Bayesian Network ◽

Coastal Zone ◽

Probabilistic Method ◽

Coastal Processes ◽

Sea Of Azov ◽

Land Area ◽

Study Region ◽

The Sea Of Azov ◽

Abrasion Rate

The coast of the Sea of Azov is characterized by a high population density and economic development. At the same time, a significant part of the sea coast is subject to abrasion. High coastal cliff retreat rates determine the relevance of assessing possible losses in this region. The aim of the work is to develop a model for assessing the risk of abrasion processes in the coastal zone of the Sea of Azov. Bayesian networks, which are often used to study coastal processes, were selected as a model toolkit. To assess the abrasion hazard in the coastal zone of the Sea of Azov, a network, consisting of two subnets, is proposed. The “Hazard Assessment” subnet describes the effect of exogenous factors on the abrasion rate. The “Risk Assessment” subnet is designed to determine the consequences (the magnitude of expected losses) of the abrasion process. The main attention is paid to the characteristics of the Bayesian network nodes. In the model, the risk from hazardous coastal processes is expressed in natural terms: the lost land area and the number of damaged facilities located on the coast. The Bayesian model is coupled with a geographic information system on base of the geospatial representation of the study region. An example of assessment the lost land area for a part of the Taganrog Bay coast is considered. Comparison of the losses estimates based on Bayesian network and average abrasion rate is given. Proposed probabilistic method provide additional information, enriching the decision-making process.

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