Assessing the Drought Vulnerability of Alberta: A Deep Learning Approach for Hydro-Climatological Analysis

Vahid Nourani; Hadi Pourali; Mohammad Bejani; Aida H. Baghanam

doi:10.3390/ASEC2023-15255

Assessing the Drought Vulnerability of Alberta: A Deep Learning Approach for Hydro-Climatological Analysis

Vahid Nourani, Hadi Pourali, Mohammad Bejani, Aida H. Baghanam

Engineering

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

39 Downloads (Pure)

Abstract

This study investigates the vulnerability of Alberta province in Canada to extreme weather events, particularly drought, which has historically caused significant financial losses. Accurate simulating techniques are crucial for obtaining reliable results to identify trends and patterns in Alberta climatology. In this study, 4-monthly synoptic station data spanning 35 years (1979 to 2014) are used alongside Long Short-Term Memory (LSTM) to analyze patterns of precipitation. Additionally, the Standardized Precipitation Index (SPI) is used to identify drought severity at different time scales (3, 6, and 12 months). The results demonstrate that drought occurrences have been observed in the Southern part of Alberta, with rising tendencies in larger areas, such as Calgary agricultural areas, being prone to severe drought.

Original language	English
Pages (from-to)	1-7
Number of pages	7
Journal	Engineering Proceedings
Volume	56
Issue number	1
DOIs	https://doi.org/10.3390/ASEC2023-15255
Publication status	Published - 26 Oct 2023

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AU - Baghanam, Aida H.

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N2 - This study investigates the vulnerability of Alberta province in Canada to extreme weather events, particularly drought, which has historically caused significant financial losses. Accurate simulating techniques are crucial for obtaining reliable results to identify trends and patterns in Alberta climatology. In this study, 4-monthly synoptic station data spanning 35 years (1979 to 2014) are used alongside Long Short-Term Memory (LSTM) to analyze patterns of precipitation. Additionally, the Standardized Precipitation Index (SPI) is used to identify drought severity at different time scales (3, 6, and 12 months). The results demonstrate that drought occurrences have been observed in the Southern part of Alberta, with rising tendencies in larger areas, such as Calgary agricultural areas, being prone to severe drought.

AB - This study investigates the vulnerability of Alberta province in Canada to extreme weather events, particularly drought, which has historically caused significant financial losses. Accurate simulating techniques are crucial for obtaining reliable results to identify trends and patterns in Alberta climatology. In this study, 4-monthly synoptic station data spanning 35 years (1979 to 2014) are used alongside Long Short-Term Memory (LSTM) to analyze patterns of precipitation. Additionally, the Standardized Precipitation Index (SPI) is used to identify drought severity at different time scales (3, 6, and 12 months). The results demonstrate that drought occurrences have been observed in the Southern part of Alberta, with rising tendencies in larger areas, such as Calgary agricultural areas, being prone to severe drought.

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Assessing the Drought Vulnerability of Alberta: A Deep Learning Approach for Hydro-Climatological Analysis

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