Observations of Snow–Slush–Snow Ice Transformation and Properties of Brash Ice in Ship Channels

The thickness and properties of brash ice are usually compared with the properties of the surrounding level ice. The differences between these ice types are important to understand since the consolidated brash ice layer is typically assumed to have the same properties as level ice. Therefore, signif...

Full description

Bibliographic Details
Published in:Water
Main Authors: Vasiola Zhaka, Robert Bridges, Kaj Riska, Jonny Nilimaa, Andrzej Cwirzen
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2023
Subjects:
Online Access:https://doi.org/10.3390/w15132360
id ftmdpi:oai:mdpi.com:/2073-4441/15/13/2360/
record_format openpolar
spelling ftmdpi:oai:mdpi.com:/2073-4441/15/13/2360/ 2023-08-20T04:07:54+02:00 Observations of Snow–Slush–Snow Ice Transformation and Properties of Brash Ice in Ship Channels Vasiola Zhaka Robert Bridges Kaj Riska Jonny Nilimaa Andrzej Cwirzen agris 2023-06-26 application/pdf https://doi.org/10.3390/w15132360 EN eng Multidisciplinary Digital Publishing Institute New Sensors, New Technologies and Machine Learning in Water Sciences https://dx.doi.org/10.3390/w15132360 https://creativecommons.org/licenses/by/4.0/ Water; Volume 15; Issue 13; Pages: 2360 brash ice side ridges snow ice ship channels compressive strength Text 2023 ftmdpi https://doi.org/10.3390/w15132360 2023-08-01T10:37:39Z The thickness and properties of brash ice are usually compared with the properties of the surrounding level ice. The differences between these ice types are important to understand since the consolidated brash ice layer is typically assumed to have the same properties as level ice. Therefore, significant effort in the measurement campaign during the winters of 2020–2021, 2021–2022, and 2023 was made to develop a better understanding of the full-scale brash ice channel development. The channels were located near the shore in the Bay of Bothnia, Luleå, Sweden. The main parameters investigated were the snow, slush, and total ice thicknesses, including ice formed from freezing water and from freezing slush as well as the ice microstructure and strength. To our knowledge, this is the first paper to report the influence of snow in brash ice channels. It was observed that a significant amount of snow covered the brash ice channels between the ship passages. After each ship passage, the snow was submerged and formed slush-filled voids, which thereafter transformed into snow ice (SI) clusters frozen together with columnar ice. The SI content in the brash ice and side ridges was estimated from image analyses. The analyses showed that the snow ice content was 73% in level ice in the vicinity of the ship channel, 58% in the side ridges of the channel, and 21% in the middle of the test channel, whereas in the main channel, the SI contents were 54%, 43%, and 41% in each location, respectively. Text Luleå Luleå Luleå MDPI Open Access Publishing Water 15 13 2360
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic brash ice
side ridges
snow ice
ship channels
compressive strength
spellingShingle brash ice
side ridges
snow ice
ship channels
compressive strength
Vasiola Zhaka
Robert Bridges
Kaj Riska
Jonny Nilimaa
Andrzej Cwirzen
Observations of Snow–Slush–Snow Ice Transformation and Properties of Brash Ice in Ship Channels
topic_facet brash ice
side ridges
snow ice
ship channels
compressive strength
description The thickness and properties of brash ice are usually compared with the properties of the surrounding level ice. The differences between these ice types are important to understand since the consolidated brash ice layer is typically assumed to have the same properties as level ice. Therefore, significant effort in the measurement campaign during the winters of 2020–2021, 2021–2022, and 2023 was made to develop a better understanding of the full-scale brash ice channel development. The channels were located near the shore in the Bay of Bothnia, Luleå, Sweden. The main parameters investigated were the snow, slush, and total ice thicknesses, including ice formed from freezing water and from freezing slush as well as the ice microstructure and strength. To our knowledge, this is the first paper to report the influence of snow in brash ice channels. It was observed that a significant amount of snow covered the brash ice channels between the ship passages. After each ship passage, the snow was submerged and formed slush-filled voids, which thereafter transformed into snow ice (SI) clusters frozen together with columnar ice. The SI content in the brash ice and side ridges was estimated from image analyses. The analyses showed that the snow ice content was 73% in level ice in the vicinity of the ship channel, 58% in the side ridges of the channel, and 21% in the middle of the test channel, whereas in the main channel, the SI contents were 54%, 43%, and 41% in each location, respectively.
format Text
author Vasiola Zhaka
Robert Bridges
Kaj Riska
Jonny Nilimaa
Andrzej Cwirzen
author_facet Vasiola Zhaka
Robert Bridges
Kaj Riska
Jonny Nilimaa
Andrzej Cwirzen
author_sort Vasiola Zhaka
title Observations of Snow–Slush–Snow Ice Transformation and Properties of Brash Ice in Ship Channels
title_short Observations of Snow–Slush–Snow Ice Transformation and Properties of Brash Ice in Ship Channels
title_full Observations of Snow–Slush–Snow Ice Transformation and Properties of Brash Ice in Ship Channels
title_fullStr Observations of Snow–Slush–Snow Ice Transformation and Properties of Brash Ice in Ship Channels
title_full_unstemmed Observations of Snow–Slush–Snow Ice Transformation and Properties of Brash Ice in Ship Channels
title_sort observations of snow–slush–snow ice transformation and properties of brash ice in ship channels
publisher Multidisciplinary Digital Publishing Institute
publishDate 2023
url https://doi.org/10.3390/w15132360
op_coverage agris
genre Luleå
Luleå
Luleå
genre_facet Luleå
Luleå
Luleå
op_source Water; Volume 15; Issue 13; Pages: 2360
op_relation New Sensors, New Technologies and Machine Learning in Water Sciences
https://dx.doi.org/10.3390/w15132360
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/w15132360
container_title Water
container_volume 15
container_issue 13
container_start_page 2360
_version_ 1774719847555399680