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A comparative assessment of long-term trends in temperature using high-resolution climate datasets (Case study: Ontario, Canada)
Authors: Isa Ebtehaj, Keyvan Soltani, Hossein Bonakdari
Identifier: CSBE21514
Download file: https://library.csbe-scgab.ca/docs/meetings/2021/CSBE21514.pdf
Published in: CSBE-SCGAB Technical Conferences » 5th CIGR and AGM Quebec City 2021 » Regular Sessions
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Description: In this research, the minimum, average and maximum temperature variations for the province of Ontario in Canada were studied. The data from 1983?2005 were used to calculate future temperature parameter changes, and the data from 2006?2019 were used to validate the models, and then the temperature variations up to 2099 were studied. Observational data were obtained from 14 ground stations. To study climate change in the region between 2020-2099, the data were divided into three periods, 2020-2052, 2053-2087, and 2088-2099, and the results of their variations for the four scenarios RCP 2.6, RCP 4.5, RCP 6.0, and RCP 8.5 were studied and compared with the observational values. Different scenarios give different results for greenhouse gas emissions, with the lowest temperature increase for all statistical parameters in the RCP 2.6 scenario and the highest temperature increase in the RCP 8.5 scenario, while two scenarios, RCP 4.5 and RCP 6.0., are placed between these two. Due to the importance of temperature in the basic activities of plants, using Landis MODIS satellite images in the province of Ontario, land uses were extracted, and their agricultural land and area, as well as their maximum accumulation area, were extracted. It should be noted that these changes can affect the type of crops in Ontario. Then the observed temperature-zoning map and the studied temperature variations relative to the observed values in different climate change scenarios were plotted, and the amounts of these changes were determined in the range of agricultural lands.
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Date: 2021-06-11
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Conference name: 5th CIGR International Conference and CSBE-SCGAB AGM 2021, Quebec City,QC, 11-14 May 2021.
Session name: GHG Emissions, Climate Change & Adaptation 1
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Type: Text.Abstract
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Publication type: Presentation
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Coverage: Canada
Language 1: en
Language 2:
Rights: Canadian Society for Bioengineering
Notes:
Other files:
DOI:
Description: In this research, the minimum, average and maximum temperature variations for the province of Ontario in Canada were studied. The data from 1983?2005 were used to calculate future temperature parameter changes, and the data from 2006?2019 were used to validate the models, and then the temperature variations up to 2099 were studied. Observational data were obtained from 14 ground stations. To study climate change in the region between 2020-2099, the data were divided into three periods, 2020-2052, 2053-2087, and 2088-2099, and the results of their variations for the four scenarios RCP 2.6, RCP 4.5, RCP 6.0, and RCP 8.5 were studied and compared with the observational values. Different scenarios give different results for greenhouse gas emissions, with the lowest temperature increase for all statistical parameters in the RCP 2.6 scenario and the highest temperature increase in the RCP 8.5 scenario, while two scenarios, RCP 4.5 and RCP 6.0., are placed between these two. Due to the importance of temperature in the basic activities of plants, using Landis MODIS satellite images in the province of Ontario, land uses were extracted, and their agricultural land and area, as well as their maximum accumulation area, were extracted. It should be noted that these changes can affect the type of crops in Ontario. Then the observed temperature-zoning map and the studied temperature variations relative to the observed values in different climate change scenarios were plotted, and the amounts of these changes were determined in the range of agricultural lands.
Keywords:
Résumé:
Mots-clés:
Citation:
Volume:
Issue:
Pages -
Contributor:
Date: 2021-06-11
Technical field:
Conference name: 5th CIGR International Conference and CSBE-SCGAB AGM 2021, Quebec City,QC, 11-14 May 2021.
Session name: GHG Emissions, Climate Change & Adaptation 1
Other information:
Type: Text.Abstract
Format:
Publication type: Presentation
Source:
Relation:
Coverage: Canada
Language 1: en
Language 2:
Rights: Canadian Society for Bioengineering
Notes:
Other files:
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