STUDY ON THE EFFECTS OF CLIMATE CHANGE ON BASIN-SCALE RIVER TEMPERATURE USING DEEP LEARNING
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- FUKUMARU Daichi
- 山口大学大学院 創成科学研究科
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- AKAMATSU Yoshihisa
- 山口大学大学院 創成科学研究科
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- TAKIYAMA Michihito
- 山口大学 工学部社会建設工学科
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- WATANABE Satoshi
- 京都大学防災研究所特定 気候変動リスク予測・適応研究 連携研究ユニット
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- MIYAHIRA Hideaki
- 山口大学大学院 創成科学研究科
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- MIYAZONO Seiji
- 山口大学大学院 創成科学研究科
Bibliographic Information
- Other Title
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- 深層学習を用いた気候変動が流域スケールの河川水温に及ぼす影響に関する検討
Abstract
<p> There have been growing concerns about the effects of climate changes on water quality and river ecosystems due to increased river temperature. It is necessary to predict river temperature at multiple points in a river basin from future air temperature. In this study, we developed river temperature prediction model based on air temperature using deep learning, and predicted river temperature using future air temperature from +4K warming experiment of d4PDF. The results showed the accuracy of water temperature was high at multiple points on the current climate. The prediction of future river temperature showed that the future change in river temperature in summer was smaller compared to other seasons, but the river temperature at the multiple points in the basin increased by 6℃. The results suggest that the changes of daily mean river temperature may lead to the habitat changes of fishes and the overgrowth of invasive aquatic plants.</p>
Journal
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- Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering)
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Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering) 78 (2), I_925-I_930, 2022
Japan Society of Civil Engineers
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Details 詳細情報について
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- CRID
- 1390013408148808448
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- ISSN
- 2185467X
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
- KAKEN
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- Abstract License Flag
- Disallowed