A geospatial model to determine patterns in river ice cover breakup and jamming behaviour

In the past, both empirical and process-based attempts have been made to predict river ice behaviour, in particular ice cover breakup and ice jamming occurrences. These methods perform with varying and limited success and tend to be site specific. A method is required which can simply estimate the p...

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Bibliographic Details
Main Author: Sagin, Jay
Format: Article in Journal/Newspaper
Language:English
Published: 2014
Subjects:
Online Access:http://nur.nu.edu.kz/handle/123456789/1247
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spelling ftnazarbayevuniv:oai:testnur.nu.edu.kz:123456789/1247 2023-05-15T16:17:50+02:00 A geospatial model to determine patterns in river ice cover breakup and jamming behaviour Sagin, Jay 2014-08 http://nur.nu.edu.kz/handle/123456789/1247 en eng Attribution-NonCommercial-ShareAlike 3.0 United States http://creativecommons.org/licenses/by-nc-sa/3.0/us/ CC-BY-NC-SA ice cover breakup ice jamming occurrences Article 2014 ftnazarbayevuniv 2019-04-02T14:35:23Z In the past, both empirical and process-based attempts have been made to predict river ice behaviour, in particular ice cover breakup and ice jamming occurrences. These methods perform with varying and limited success and tend to be site specific. A method is required which can simply estimate the predisposition of river reaches to ice breakup and jamming events. This paper introduces a geospatial modelling approach which can fulfil that task and improve the predictive power of ice cover breakup and ice jamming behaviour. The geospatial model can determine the most vulnerable sections along the studied reaches to such behaviour, which are phenomena entailing hydraulic, ice morphology and fluvial geomorphology. A geospatial model clusters hydraulic characteristics (e.g. discharge or stage), ice characteristics (e.g. ice thickness and ice type) and river geomorphological characteristics (e.g. sinuosity, slope, width, etc.) into common river features called Geomorphic Response Units (GRU). A statistical clustering technique such as principle component analysis (PCA) is used to derive these GRUs. It is assumed that certain GRUs will be more susceptible to certain ice cover behaviour, such as breakup and jamming of river ice. Data acquired along the Slave River and its delta in Canada is used to test the geospatial model. The main data sources are space-borne remote sensing MODIS imagery and traditional and local knowledge from members of the communities alongside the river, in particular Fort Resolution and Fort Smith Article in Journal/Newspaper Fort Resolution Fort Smith Slave River Nazarbayev University Repository Canada Fort Resolution ENVELOPE(-113.691,-113.691,61.049,61.049) Fort Smith ENVELOPE(-111.889,-111.889,60.004,60.004)
institution Open Polar
collection Nazarbayev University Repository
op_collection_id ftnazarbayevuniv
language English
topic ice cover breakup
ice jamming occurrences
spellingShingle ice cover breakup
ice jamming occurrences
Sagin, Jay
A geospatial model to determine patterns in river ice cover breakup and jamming behaviour
topic_facet ice cover breakup
ice jamming occurrences
description In the past, both empirical and process-based attempts have been made to predict river ice behaviour, in particular ice cover breakup and ice jamming occurrences. These methods perform with varying and limited success and tend to be site specific. A method is required which can simply estimate the predisposition of river reaches to ice breakup and jamming events. This paper introduces a geospatial modelling approach which can fulfil that task and improve the predictive power of ice cover breakup and ice jamming behaviour. The geospatial model can determine the most vulnerable sections along the studied reaches to such behaviour, which are phenomena entailing hydraulic, ice morphology and fluvial geomorphology. A geospatial model clusters hydraulic characteristics (e.g. discharge or stage), ice characteristics (e.g. ice thickness and ice type) and river geomorphological characteristics (e.g. sinuosity, slope, width, etc.) into common river features called Geomorphic Response Units (GRU). A statistical clustering technique such as principle component analysis (PCA) is used to derive these GRUs. It is assumed that certain GRUs will be more susceptible to certain ice cover behaviour, such as breakup and jamming of river ice. Data acquired along the Slave River and its delta in Canada is used to test the geospatial model. The main data sources are space-borne remote sensing MODIS imagery and traditional and local knowledge from members of the communities alongside the river, in particular Fort Resolution and Fort Smith
format Article in Journal/Newspaper
author Sagin, Jay
author_facet Sagin, Jay
author_sort Sagin, Jay
title A geospatial model to determine patterns in river ice cover breakup and jamming behaviour
title_short A geospatial model to determine patterns in river ice cover breakup and jamming behaviour
title_full A geospatial model to determine patterns in river ice cover breakup and jamming behaviour
title_fullStr A geospatial model to determine patterns in river ice cover breakup and jamming behaviour
title_full_unstemmed A geospatial model to determine patterns in river ice cover breakup and jamming behaviour
title_sort geospatial model to determine patterns in river ice cover breakup and jamming behaviour
publishDate 2014
url http://nur.nu.edu.kz/handle/123456789/1247
long_lat ENVELOPE(-113.691,-113.691,61.049,61.049)
ENVELOPE(-111.889,-111.889,60.004,60.004)
geographic Canada
Fort Resolution
Fort Smith
geographic_facet Canada
Fort Resolution
Fort Smith
genre Fort Resolution
Fort Smith
Slave River
genre_facet Fort Resolution
Fort Smith
Slave River
op_rights Attribution-NonCommercial-ShareAlike 3.0 United States
http://creativecommons.org/licenses/by-nc-sa/3.0/us/
op_rightsnorm CC-BY-NC-SA
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