Rchr
J-GLOBAL ID:201701011752173080
Update date: Nov. 07, 2024
KIM SANGYEOB
キム サンヨブ | KIM SANGYEOB
Affiliation and department:
Research field (3):
Atmospheric and hydrospheric science
, Civil engineering (environmental systems)
, Hydroengineering
Research keywords (10):
水環境工学
, アオコ
, 赤潮
, odor
, ダム水質
, Estuary
, Machine learning
, 数値解析
, 貧酸素水塊
, 沿岸環境
Research theme for competitive and other funds (2):
- 2021 - 2024 Assessment of the climate impact on environmental changes in coastal waters
- 2019 - 2022 雨水貯留ポテンシャルを考慮した中小都市の内水氾濫に関する気候変動適応策
Papers (18):
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Sangyeob Kim, Takuto Ando, Yasuhide Nakamura, Shohei Hayashi, Shun Kawaida. Clustering evaluation of water quality for various classes of in-flow rivers in connected brackish lakes. Environmental Monitoring and Assessment. 2024. 196. 6
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Jonathan Derot, Nozomi Sugiura, Sangyeob Kim, Shinya Kouketsu. Improved climate time series forecasts by machine learning and statistical models coupled with signature method: A case study with El Niño. Ecological Informatics. 2024. 79. 102437-102437
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Santos Daniel Chicas, Jair Gaspar Valladarez, Kiyoshi Omine, Venkataraman Sivasankar, Sangyeob Kim. Spatiotemporal distribution, trend, forecast, and influencing factors of transboundary and local air pollutants in Nagasaki Prefecture, Japan. Scientific Reports. 2023. 13. 1
-
Shohei Hayashi, Shingo Masuki, Koichi Furuta, Shinichi Doi, Sangyeob Kim, Yasushi Seike. Phylogenetic Analysis and Characterization of Odorous Compound-Producing Actinomycetes in Sediments in the Sanbe Reservoir, A Drinking Water Reservoir in Japan. Current Microbiology. 2022. 79. 11
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陸 中森, 憲吏 南, 北斗 白川, 妍卉 朱, 二朗 沖津, 奉功 大杉, 信行 東, 相曄 金, 一三 谷田, 充樹 黒田, et al. 福島県さくら湖における計量魚群探知機を用いた藍藻類の音響計測の試み. Laguna(汽水域研究). 2022
more...
MISC (1):
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安藤卓人, 瀬戸浩二, 香月興太, 仲村康秀, KIM Sangyeob, 川井田俊, 齋藤文紀. Relationship between transportation and palynofacies/palynomorph assemblage of suspended sediments in the rivers around Lake Shinji and Nakaumi Lagoon. 日本地球惑星科学連合大会予稿集(Web). 2022. 2022
Lectures and oral presentations (8):
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Analysis of water quality fluctuations in Estuary using a Random Forest
(The North Pacific Marine Science Organization (PICES) 2022)
-
令和元年度島根大学公開講座「エスチュアリー研究の最前線(2)」
(2019)
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機械学習を用いた赤潮予測への試み
(NPO法人有明海再生機構ワークショップ 2019)
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機械学習を用いた沿岸海域における密度成層の 変動に対する特徴量選択の試み
(日本海洋学会 2019年度秋季大会 2019)
-
The environmental analysis for sustainable seaweed aquaculture management in Ariake Sea, Japan.
(The North Pacific Marine Science Organization (PICES) 2018)
more...
Work history (3):
- 2023/04 - 現在 Shimane University
- 2018/10 - 2023/03 Shimane University
- 2016/12 - 2018/09 Institute of Lowland and Marine Research, Saga University Specially Appointed Assistant Professor
Association Membership(s) (4):
日本水環境学会
, 汽水域研究会
, THE OCEANOGRAPHIC SOCIETY OF JAPAN
, JAPAN SOCIETY OF CIVIL ENGINEERS
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