TY - JOUR

T1 - Temporal variance of the ice navigation conditions within the Northern Sea Route

AU - Tretyakov, V. Yu

AU - Egovtseva, A. V.

AU - Dmitriev, V. V.

N1 - Publisher Copyright: © Published under licence by IOP Publishing Ltd.

PY - 2021/12/21

Y1 - 2021/12/21

N2 - Recognition of satellite images, composition of them and vectorization is used in AARI for ice charts production. There is discussed methodology and results of the ice charts processing by means of computer programs, which were elaborated by Dr. Tretyakov in Python. The paper demonstrates results of analysis of temporal variance of ice navigation circumstances within the buffer zone of the marine transport system from the Sabetta Port (the Yamal Peninsula, Russia) up to the Bering Strait. There are considered the variance for April and May from 1998 up to 2020. This intra-annual interval is the one with the heaviest ice circumstances for shipping. We used conditional length of various age and age and form gradations of the sea ice for the route as a whole, as an integral parameter for estimation of the navigation hardships of ice navigation. The conditional length of an ice age (thickness) diapason is result of multiplication of the diapason partial concentration at the length of the route leg with homogeneous ice characteristics. There were produced series of the conditional lengths for each ten-day periods during April and May. Then statistical homogeneity of the series was tested by various methods.

AB - Recognition of satellite images, composition of them and vectorization is used in AARI for ice charts production. There is discussed methodology and results of the ice charts processing by means of computer programs, which were elaborated by Dr. Tretyakov in Python. The paper demonstrates results of analysis of temporal variance of ice navigation circumstances within the buffer zone of the marine transport system from the Sabetta Port (the Yamal Peninsula, Russia) up to the Bering Strait. There are considered the variance for April and May from 1998 up to 2020. This intra-annual interval is the one with the heaviest ice circumstances for shipping. We used conditional length of various age and age and form gradations of the sea ice for the route as a whole, as an integral parameter for estimation of the navigation hardships of ice navigation. The conditional length of an ice age (thickness) diapason is result of multiplication of the diapason partial concentration at the length of the route leg with homogeneous ice characteristics. There were produced series of the conditional lengths for each ten-day periods during April and May. Then statistical homogeneity of the series was tested by various methods.

KW - ice navigation

UR - http://www.scopus.com/inward/record.url?scp=85122389150&partnerID=8YFLogxK

U2 - 10.1088/1755-1315/937/4/042095

DO - 10.1088/1755-1315/937/4/042095

M3 - Conference article

AN - SCOPUS:85122389150

VL - 937

JO - IOP Conference Series: Earth and Environmental Science

JF - IOP Conference Series: Earth and Environmental Science

SN - 1755-1307

IS - 4

M1 - 042095

T2 - 2021 International Scientific Conference on Fundamental and Applied Scientific Research in the Development of Agriculture in the Far East, AFE 2021

Y2 - 20 June 2021 through 21 June 2021

ER -