KIM SANGYEOB ＫＩＭＳＡＮＧＹＥＯＢ

Researcher Number	50797826
Other IDs	https://orcid.org/0000-0001-7639-0664
Affiliation (Current)	2024: 島根大学, 学術研究院環境システム科学系, 助教
Affiliation (based on the past Project Information) *help	2021 – 2023: 島根大学, 学術研究院環境システム科学系, 助教 2019: 島根大学, 学術研究院環境システム科学系, 助教
Review Section/Research Field	Principal Investigator Basic Section 22040:Hydroengineering-related Except Principal Investigator Basic Section 25030:Disaster prevention engineering-related
Keywords	Principal Investigator 人工知能 / 沿岸水環境 / Randomforest / AIモデル / 水環境 / 沿岸海域 / エルニーニョ現象 / 気候変動 / 人口知能 / 水環境問題 … More Except Principal Investigator … More AI技術 / 水位予測 / 流出予測 / 気候変動 / 貯留施設 / 雨水貯留ポテンシャル / 内水氾濫 Less

Assessment of the climate impact on environmental changes in coastal watersPrincipal Investigator
- Principal Investigator
  
  KIM SANGYEOB
- Project Period (FY)
  2021 – 2023
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 22040:Hydroengineering-related
- Research Institution
  Shimane University
Climate change adaptation measures for internal flooding in small and medium-sized cities considering rainwater storage potential
- Principal Investigator
  
  YAJIMA HIROSHI
- Project Period (FY)
  2019 – 2021
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 25030:Disaster prevention engineering-related
- Research Institution
  Shimane University

All 2024 2023 2022

All Journal Article Presentation

[Journal Article] Improved climate time series forecasts by machine learning and statistical models coupled with signature method: A case study with El Ni?o2024
- Author(s)
  Derot Jonathan、Sugiura Nozomi、Kim Sangyeob、Kouketsu Shinya
- Journal Title
  
  Ecological Informatics
  
  Volume: 79 Pages: 102437-102437
- DOI
  10.1016/j.ecoinf.2023.102437
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K14251, KAKENHI-PLANNED-22H05207
[Journal Article] Clustering evaluation of water quality for various classes of in-flow rivers in connected brackish lakes2024
- Author(s)
  Kim Sangyeob、Ando Takuto、Nakamura Yasuhide、Hayashi Shohei、Kawaida Shun
- Journal Title
  
  Environmental Monitoring and Assessment
  
  Volume: 196 Issue: 6 Pages: 501-501
- DOI
  10.1007/s10661-024-12670-7
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21K14251
[Journal Article] Spatiotemporal distribution, trend, forecast, and influencing factors of transboundary and local air pollutants in Nagasaki Prefecture, Japan2023
- Author(s)
  Chicas Santos Daniel、Valladarez Jair Gaspar、Omine Kiyoshi、Sivasankar Venkataraman、Kim Sangyeob
- Journal Title
  
  Scientific Reports
  
  Volume: 13 Issue: 1 Pages: 851-851
- DOI
  10.1038/s41598-023-27936-2
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K14251
[Presentation] Analysis of water quality fluctuations in Estuary using a Random Forest2022
- Author(s)
  Sangyeob Kim, Koji Seto, Kenji Minami, Shohei Hayashi, and Yasushi Seike
- Organizer
  The North Pacific Marine Science Organization (PICES)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K14251

1. YAJIMA HIROSHI (10283970)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
2. 川池健司 (10346934)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. 吉岡有美 (40753885)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

KIM SANGYEOB ＫＩＭＳＡＮＧＹＥＯＢ

Research Projects

Research Products

Co-Researchers

Assessment of the climate impact on environmental changes in coastal watersPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Climate change adaptation measures for internal flooding in small and medium-sized cities considering rainwater storage potential

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Improved climate time series forecasts by machine learning and statistical models coupled with signature method: A case study with El Ni?o2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Clustering evaluation of water quality for various classes of in-flow rivers in connected brackish lakes2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Spatiotemporal distribution, trend, forecast, and influencing factors of transboundary and local air pollutants in Nagasaki Prefecture, Japan2023

Author(s)

Journal Title

DOI

Data Source

[Presentation] Analysis of water quality fluctuations in Estuary using a Random Forest2022

Author(s)

Organizer

Data Source

KIM SANGYEOB ＫＩＭ ＳＡＮＧＹＥＯＢ

Research Projects

Research Products

Co-Researchers

Assessment of the climate impact on environmental changes in coastal watersPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Climate change adaptation measures for internal flooding in small and medium-sized cities considering rainwater storage potential

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Improved climate time series forecasts by machine learning and statistical models coupled with signature method: A case study with El Ni?o2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Clustering evaluation of water quality for various classes of in-flow rivers in connected brackish lakes2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Spatiotemporal distribution, trend, forecast, and influencing factors of transboundary and local air pollutants in Nagasaki Prefecture, Japan2023

Author(s)

Journal Title

DOI

Data Source

[Presentation] Analysis of water quality fluctuations in Estuary using a Random Forest2022

Author(s)

Organizer

Data Source

KIM SANGYEOB ＫＩＭＳＡＮＧＹＥＯＢ