Technogenically Рrovoked Seepage Activity in the Northwestern Part of the Black Sea According to Data from Space

Ivanov, A. Yu.; Matrosova, Ekaterina

doi:10.18412/1816-0395-2019-8-57-63

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…Now we are to consider an example of the implementation of the proposed approach for monitoring a non-biogenic origin FP (natural oil and gas manifestations, ship and coastal discharges, spills at offshore oil and gas platforms, leaks of subsea pipelines) in the Black Sea northern part in the period from 01.01.2019 to 31.12.2019. This area was well studied earlier [4,11,14,16,17], which makes it possible to assess the adequacy of the results obtained in our study. The choice of the site was also determined by a significant number of non-biogenic origin FP sources (shipping routes, oil and gas seeps) located within its boundaries [12,[18][19][20].…”

Section: Resultsmentioning

confidence: 66%

“…Another problem is related to obtaining the quantitative estimates of the results of FP detection. Usually [2], the study is reduced to the formation of generalized map-schemes of the detected and type-classified FP, as well as to the comparison of these diagrammatic maps with a situational map using geoinformation technologies [9][10][11][12]. This approach provides a significant advance in the analysis of the features and causes of the detected FPs.…”

Section: Introductionmentioning

confidence: 99%

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Quantitative Approach to Studying Film Pollution of the Sea Surface Using Satellite Imagery

Zamshin¹,

Matrosova²,

Khodaeva³

et al. 2021

PhO

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Purpose. Numerous studies of various film pollutions (oil spills, surfactants etc.) are performed by means of satellite monitoring of seas and oceans. However, the problem of formal ranking the water areas of the regions under study by frequency and intensity of pollution is still unsolved. The conditions and periodicity of satellite survey can differ greatly depending on the monitoring region that determines both spatial variability of the probability of film pollution detection and the need to take this feature into consideration. Here we attempt to develop a quantitative approach to studying the sea surface film pollutions based on processing of large volumes of satellite optical and radar imagery. Methods and Results. The concept “index of sea surface exposure to film pollutions”, dfpMON, and the method for calculating its quantitative value on a regular spatial grid are proposed. The value of dfpMON is defined as a ratio of the pollution area observed at the site to the area of the analyzed resolution elements (where detection of film pollution is theoretically possible). Within the framework of this approach, the already existing methods for analyzing the results of long-term satellite seawater pollution monitoring were improved due to taking into account the meteorological conditions and the spatial distribution of the observation amount. Having been applied, the proposed approach permitted to study spatial distribution of the non-biogenic film pollutions in the northern part of the Black Sea; they were detected resulting from interpretation of 4428 satellite images obtained in 2019 by the Landsat-8, Sentinel-2A/B and Sentinel-1A/B satellites (2499 cases of pollution processed). The average value of the dfpMON index was 0.012%. Three regions, where the dfpMON values exceeded the average one by more than 30 times were identified. Conclusions. The example of a site in the northern Black Sea has shown the possibility of obtaining representative information products of satellite oceanography, which quantitatively characterize spatial variability of the sea surface film pollution recorded during the long-term episodes of satellite monitoring.

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Section: Resultsmentioning

confidence: 66%

Section: Introductionmentioning

confidence: 99%

Quantitative Approach to Studying Film Pollution of the Sea Surface Using Satellite Imagery

Zamshin¹,

Matrosova²,

Khodaeva³

et al. 2021

PhO

View full text Add to dashboard Cite

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Optimization design of shearer drum height adjusting mechanism based on particle swarm optimization algorithm

Li,

Jia,

Ren

2024

jour

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The underground working environment of the shearer is complex and the working conditions are relatively poor. It is necessary to continuously adjust the height of the rocker arm during the operation, improve the operation efficiency, and improve the ability of the shearer to adapt to the more complex coal seam working environment. In order to optimize the structure of the shearer adjustment mechanism, the strength and strength of the adjustment mechanism are improved by increasing the size and angle of the adjustment mechanism and reducing the size and angle. Therefore, an optimized particle group design method is proposed to optimize the drum adjustment mechanism of the shearer. Seven parameters such as large lever, small lever and maximum swing angle are selected as design variables. Under the condition of limiting mining height and rocker length, an optimization model with rolling angle and cylinder stress as objective functions is established. The working characteristics of each part of the coal machine height adjustment mechanism are analyzed. The particle swarm optimization algorithm is used to optimize the key parameters, and the optimization results are verified to ensure their accuracy. The optimization results are compared with the original parameters. The results show that compared with the pre-optimization, the cylinder stroke is shortened by 17.9%, the cylinder length is shortened by 8.94%, the rolling angle is reduced by 2.83%, the cylinder tension is reduced by 12.1%, and the rocker bending moment is increased by 6.83 %, which meets the original design goal. Therefore, the research provides a reference for the optimal design of the coal machine height adjustment system.

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Technogenically Рrovoked Seepage Activity in the Northwestern Part of the Black Sea According to Data from Space

Abstract: It is shown that satellite monitoring can not only successfully help to control the marine environment, but also to detect dangerous natural processes caused by exploration and production of oil and gas.

Cited by 2 publications

References 2 publications

Quantitative Approach to Studying Film Pollution of the Sea Surface Using Satellite Imagery

Quantitative Approach to Studying Film Pollution of the Sea Surface Using Satellite Imagery

Optimization design of shearer drum height adjusting mechanism based on particle swarm optimization algorithm

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