Vessel movement velocity as the integral parameter of ice navigation conditions

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Vessel movement velocity as the integral parameter of ice navigation conditions. / Tretyakov, V. Yu. ; Sarafanov, M. I. ; Fediakov, V. E. ; Frolov, S. V. .

In: IOP Conference Series: Earth and Environmental Science, Vol. 625, No. 1, 012021, 14.01.2021.

Research output: Contribution to journal › Conference article › peer-review

Author

Tretyakov, V. Yu. ; Sarafanov, M. I. ; Fediakov, V. E. ; Frolov, S. V. . / Vessel movement velocity as the integral parameter of ice navigation conditions. In: IOP Conference Series: Earth and Environmental Science. 2021 ; Vol. 625, No. 1.

BibTeX

@article{61ef5986592f477fbc1a4927730baaf1,

title = "Vessel movement velocity as the integral parameter of ice navigation conditions",

abstract = "The publication is considered methodology and preliminary results of computer processing of vector ice charts and simulation of ice navigation by empirical statistical model, which was designed in the AARI. The model is result of generalization of multi-year special ship ice observations, produced by the AARI scientists. The Institute has unique archive of ice charts, which were made by recognition of satellite images, their composition and vectorization. The archive covers the period since 1997. Average navigation velocity and total time expenditure for sailing along a route can be used as the objective indexes of the ice navigation conditions. In the article is presented detailed description of the technique for preparing data for numerical experiments with the empirical statistical model by applying the ice charts from the archive. The data preparing is processed in ArcGIS by means of specially designed computer programs. The numerical experiments simulate ice navigation of “Arctica” nuclear icebreaker. The comparison between the average navigation velocity and time expenditure for sailing along the route “Sabetta Port – Kara Gate Strait” at simulation of ice conditions in the first ten-day interval of May 1998 and the same temporal interval of 2019 indicates significant improve of the ice navigation conditions.",

keywords = "ледовые условия плавания судов",

author = "Tretyakov, {V. Yu.} and Sarafanov, {M. I.} and Fediakov, {V. E.} and Frolov, {S. V.}",

note = "Publisher Copyright: {\textcopyright} 2021 Institute of Physics Publishing. All rights reserved.; 2020 International Round Table on Modern Problems of the Arctic ; Conference date: 25-06-2020",

year = "2021",

month = jan,

day = "14",

doi = "10.1088/1755-1315/625/1/012021",

language = "English",

volume = "625",

journal = "IOP Conference Series: Earth and Environmental Science",

issn = "1755-1307",

publisher = "IOP Publishing Ltd.",

number = "1",

}

RIS

TY - JOUR

T1 - Vessel movement velocity as the integral parameter of ice navigation conditions

AU - Tretyakov, V. Yu.

AU - Sarafanov, M. I.

AU - Fediakov, V. E.

AU - Frolov, S. V.

PY - 2021/1/14

Y1 - 2021/1/14

N2 - The publication is considered methodology and preliminary results of computer processing of vector ice charts and simulation of ice navigation by empirical statistical model, which was designed in the AARI. The model is result of generalization of multi-year special ship ice observations, produced by the AARI scientists. The Institute has unique archive of ice charts, which were made by recognition of satellite images, their composition and vectorization. The archive covers the period since 1997. Average navigation velocity and total time expenditure for sailing along a route can be used as the objective indexes of the ice navigation conditions. In the article is presented detailed description of the technique for preparing data for numerical experiments with the empirical statistical model by applying the ice charts from the archive. The data preparing is processed in ArcGIS by means of specially designed computer programs. The numerical experiments simulate ice navigation of “Arctica” nuclear icebreaker. The comparison between the average navigation velocity and time expenditure for sailing along the route “Sabetta Port – Kara Gate Strait” at simulation of ice conditions in the first ten-day interval of May 1998 and the same temporal interval of 2019 indicates significant improve of the ice navigation conditions.

AB - The publication is considered methodology and preliminary results of computer processing of vector ice charts and simulation of ice navigation by empirical statistical model, which was designed in the AARI. The model is result of generalization of multi-year special ship ice observations, produced by the AARI scientists. The Institute has unique archive of ice charts, which were made by recognition of satellite images, their composition and vectorization. The archive covers the period since 1997. Average navigation velocity and total time expenditure for sailing along a route can be used as the objective indexes of the ice navigation conditions. In the article is presented detailed description of the technique for preparing data for numerical experiments with the empirical statistical model by applying the ice charts from the archive. The data preparing is processed in ArcGIS by means of specially designed computer programs. The numerical experiments simulate ice navigation of “Arctica” nuclear icebreaker. The comparison between the average navigation velocity and time expenditure for sailing along the route “Sabetta Port – Kara Gate Strait” at simulation of ice conditions in the first ten-day interval of May 1998 and the same temporal interval of 2019 indicates significant improve of the ice navigation conditions.

KW - ледовые условия плавания судов

UR - http://www.scopus.com/inward/record.url?scp=85100727756&partnerID=8YFLogxK

U2 - 10.1088/1755-1315/625/1/012021

DO - 10.1088/1755-1315/625/1/012021

M3 - Conference article

VL - 625

JO - IOP Conference Series: Earth and Environmental Science

JF - IOP Conference Series: Earth and Environmental Science

SN - 1755-1307

IS - 1

M1 - 012021

T2 - 2020 International Round Table on Modern Problems of the Arctic

Y2 - 25 June 2020

ER -

ID: 73070287