Hydrological Modelling of River Flow Forecasting in Cold Regions and Its Application over the Athabasca River ...
Floods are disasters that represent a growing threat to the communities living close to rivers. To maximize community resilience, the main objective was to formulate a transferable framework for river flow forecasting in cold and poorly gauged/ungauged regions. First, the literature was reviewed, su...
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Online Access: | https://dx.doi.org/10.11575/prism/40807 https://prism.ucalgary.ca/handle/1880/115958 |
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ftdatacite:10.11575/prism/40807 2023-11-05T03:40:20+01:00 Hydrological Modelling of River Flow Forecasting in Cold Regions and Its Application over the Athabasca River ... Belvederesi, Chiara 2023 https://dx.doi.org/10.11575/prism/40807 https://prism.ucalgary.ca/handle/1880/115958 en eng Schulich School of Engineering University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission. ungauged cold hydrology review empirical Athabasca River Basin Engineering Engineering--Environmental article doctoral thesis CreativeWork Other 2023 ftdatacite https://doi.org/10.11575/prism/40807 2023-10-09T11:06:44Z Floods are disasters that represent a growing threat to the communities living close to rivers. To maximize community resilience, the main objective was to formulate a transferable framework for river flow forecasting in cold and poorly gauged/ungauged regions. First, the literature was reviewed, summarizing the recent findings in river flow forecasting in these regions. Here, hydrological processes greatly vary seasonally and annually, translating into increased model uncertainty. Regionalization, spatial calibration, and other methods were implemented into process-based and empirical models. Although process-based models provided a wide understanding of a watershed’s hydrology, they were often complex and computationally demanding. Empirical models produced fewer calibration parameters although generated biased results when insufficient descriptors were available. The results from this review highlighted some efforts necessary to improve river flow forecasting, including: coping with limited data; ... Article in Journal/Newspaper Athabasca River DataCite Metadata Store (German National Library of Science and Technology) |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
language |
English |
topic |
ungauged cold hydrology review empirical Athabasca River Basin Engineering Engineering--Environmental |
spellingShingle |
ungauged cold hydrology review empirical Athabasca River Basin Engineering Engineering--Environmental Belvederesi, Chiara Hydrological Modelling of River Flow Forecasting in Cold Regions and Its Application over the Athabasca River ... |
topic_facet |
ungauged cold hydrology review empirical Athabasca River Basin Engineering Engineering--Environmental |
description |
Floods are disasters that represent a growing threat to the communities living close to rivers. To maximize community resilience, the main objective was to formulate a transferable framework for river flow forecasting in cold and poorly gauged/ungauged regions. First, the literature was reviewed, summarizing the recent findings in river flow forecasting in these regions. Here, hydrological processes greatly vary seasonally and annually, translating into increased model uncertainty. Regionalization, spatial calibration, and other methods were implemented into process-based and empirical models. Although process-based models provided a wide understanding of a watershed’s hydrology, they were often complex and computationally demanding. Empirical models produced fewer calibration parameters although generated biased results when insufficient descriptors were available. The results from this review highlighted some efforts necessary to improve river flow forecasting, including: coping with limited data; ... |
format |
Article in Journal/Newspaper |
author |
Belvederesi, Chiara |
author_facet |
Belvederesi, Chiara |
author_sort |
Belvederesi, Chiara |
title |
Hydrological Modelling of River Flow Forecasting in Cold Regions and Its Application over the Athabasca River ... |
title_short |
Hydrological Modelling of River Flow Forecasting in Cold Regions and Its Application over the Athabasca River ... |
title_full |
Hydrological Modelling of River Flow Forecasting in Cold Regions and Its Application over the Athabasca River ... |
title_fullStr |
Hydrological Modelling of River Flow Forecasting in Cold Regions and Its Application over the Athabasca River ... |
title_full_unstemmed |
Hydrological Modelling of River Flow Forecasting in Cold Regions and Its Application over the Athabasca River ... |
title_sort |
hydrological modelling of river flow forecasting in cold regions and its application over the athabasca river ... |
publisher |
Schulich School of Engineering |
publishDate |
2023 |
url |
https://dx.doi.org/10.11575/prism/40807 https://prism.ucalgary.ca/handle/1880/115958 |
genre |
Athabasca River |
genre_facet |
Athabasca River |
op_rights |
University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission. |
op_doi |
https://doi.org/10.11575/prism/40807 |
_version_ |
1781696359405977600 |