System of the Ecological Monitoring in the Sivash Bay in the Modern Conditions

Sovga, Elena; Eremina, E. S.; Dyakov, Nikolay

doi:10.22449/2413-5577-2018-2-22-38

Cited by 4 publications

(4 citation statements)

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“…The Sivash is connected with the Sea of Azov by the shallow and narrow Genichesk Strait, which is located near the northern part of the Arabat Spit (Figure 3). The length of the strait is 5 km, the width is 80-120 m, and the depth is about 2.0-3.5 m. The area of the Sivash is about 2500 km 2 [15].…”

Section: Research Areamentioning

confidence: 99%

Surface Water Salinity Evaluation and Identification for Using Remote Sensing Data and Machine Learning Approach

Borovskaya

Krivoguz

Chernyi

et al. 2022

JMSE

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Knowledge of the spatio-temporal distribution of salinity provides valuable information for understanding different processes between biota and environment, especially in hypersaline lakes. Remote sensing techniques have been used for monitoring different components of the environment. Currently, one of the biggest challenges is the spatio-temporal monitoring of the salinity level in water bodies. Due to some limitations, such as the inability to be located there permanently, it is difficult to obtain these data directly. In this study, machine learning techniques were used to evaluate the salinity level in hypersaline East Sivash Bay. In total, 93 in situ data samples and 6 Sentinel-2 datasets were used, according to field measurements. Using linear regression, random forest and AdaBoost models, eight water salinity evaluation models were built (six with simple, one with random forest and one with AdaBoost). The accuracy of the best-fitted simple linear regression model was 0.8797; for random forest, it was equal, at 0.808, and for AdaBoost, it was −0.72. Furthermore, it was found that with an increase in salinity, the absorbing light shifts from the ultraviolet part of the spectrum to the infrared and short-wave infrared parts, which makes it possible to produce continuous monitoring of hypersaline water bodies using remote sensing data.

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Section: Research Areamentioning

confidence: 99%

Surface Water Salinity Evaluation and Identification for Using Remote Sensing Data and Machine Learning Approach

Borovskaya

Krivoguz

Chernyi

et al. 2022

JMSE

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“…2). This determines the special structure of the fields of oceanological elements in the coastal waters of the Sivash Bay, characterized by pronounced inhomogeneities [9,10].…”

Section: F I Gmentioning

confidence: 99%

“…In terms of morphometric characteristics and hydrological regime, the western coast of the Sivash significantly differs from the eastern one. The Crimean rivers Pobednaya, Salgir, Bulganak, Subash flow into the water area of the western part of the Sivash Bay [9] (Fig. 1).…”

Section: F I Gmentioning

confidence: 99%

Features of the Oceanological Values Fields in the Sivash Bay (The Sea of Azov)

Ломакин¹

2021

PhO

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The study is aimed at revealing the structural regularities and variability of the fields of temperature, salinity, the colored dissolved organic matter and total suspended matter concentrations, and also the factors that form them in the Sivash Bay. Besides, the results obtained are to be compared with the already known features of the fields of the values under investigation which are typical of the Azov-Black Sea coastal zone; and the response in the considered fields to the North Crimean Canal damming is to be assessed. Methods and Results. Based on the data of 8 expeditions carried out by M arine Hydrophysical Institute in 2013-2016, the structural regularities and variability of the fields of temperature, salinity, the colored dissolved organic matter and total suspended matter concentrations, and the factors that form the fields of these values in the Sivash Bay were revealed. The quantitative indicators of changes in the fields of the considered values, which arose after the North Crimean Canal was dammed, are represented. Conclusions. In the region under study, a number of constantly acting factors that determine formation of special, not typical of the coastal area features of the oceanological values fields are identified, namely: the influence of the Azov Sea and the North Crimean Canal waters, the rivers inflowing to the water area of the Sivash western coast, the isolated lakes, the swampy shallow bays and the isolated relatively deep parts of the coastline. Three years after the North Crimean Canal was dammed, in the northwestern Sivash salinity increased by 20 PSU. The opinion that Sivash is not a typical sea bay, but a connected with the Azov Sea reservoir with the signs of a salt swamp is confirmed.

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“…В настоящее время, в период климатических изменений, а также интенсивного антропогенного вмешательства, исследованием экосистемы залива Сиваш занимаются сотрудники ведущих научных учреждений Крыма. Так, изменениям в заливе факторов среды обитания водных биоценозов посвящены работы [1][2][3], непосредственно водному балансу и его составляющим, а также водообмену с Азовским морем -работы [4][5][6][7], исследованию изменений ресурсного потенциала -работы [8,9], методам оценки и системе экологического мониторинга в современных условиях -работы [10,11]. Использование современных дистанционных методов в изучении Сиваша рассматривается в работах [12,13].…”

Section: Introductionunclassified

Ecological State of the Eastern Sivash Waters in Early Summer of 2020

Borovskaya¹,

Zhugaylo²,

Krivoguz³

et al. 2021

EBPSZM

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The paper studies the ecosystem of the Eastern Sivash in the context of natural and anthropogenic influence. The data collected during the expedition of the Azov-Black Sea Branch of the FSBSI “VNIRO” conducted in early summer 2020 were used as original empirical evidence. Specific features of hydrological and hydrochemical conditions, as well as species composition, distribution, and abundance of ichthyoplankton were indicated. It was shown that the values of pH, nitrates, nitrites, and phosphates did not exceed MPCs established for fishery water bodies within the entire water area under study; the range of dissolved oxygen content was wide: 3.63–9.13 mg/dm3 . By comparison of the environmental status of the biocoenoses during early summer 2020 with the data collected during a similar survey in 2019, it was found that the water temperature at site 4 is lower by 1.9–2.7 °C. Further salinization of the Sivash was recorded: the lowest salinity in 2019 ranged within 32–38 ‰ and the highest one ranged within 83–86 ‰; in 2020, these values were 36–43 ‰ and 91–97 ‰, respectively. In terms of spatial distribution, the range of the increase in salinity was 4.36–16.69 ‰, with the highest value being recorded at site 2 (11.51–16.69 ‰) and the eastern part of site 3 (13.22 ‰). To a lesser extent (by 4.36–6.26 ‰), an increase in salinity was recorded at site 4 and the western part (5.27 ‰) of site 3. The results of plankton net surveys showed that ichthyoplankton was represented almost exclusively by larvae of big-scale send smelt, which had the densest distribution at site 1 at a salinity of 89 ‰, and on the border between sites 2 and 3 at a salinity of 74 ‰. The upper limit of salinity at which this fish reproduction is possible lies within the range 75–90 ‰. The absence of so-iuy mullet eggs and juveniles at a salinity higher than 32–36 ‰ in May – June of 2019–2020 during the peak of so-iuy mullet spawning does not provide a reason to include the Sivash Bay among the Azov Sea areas important for reproduction of this fish species

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System of the Ecological Monitoring in the Sivash Bay in the Modern Conditions

Cited by 4 publications

References 1 publication

Surface Water Salinity Evaluation and Identification for Using Remote Sensing Data and Machine Learning Approach

Surface Water Salinity Evaluation and Identification for Using Remote Sensing Data and Machine Learning Approach

Features of the Oceanological Values Fields in the Sivash Bay (The Sea of Azov)

Ecological State of the Eastern Sivash Waters in Early Summer of 2020

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