Researchers

KIMURA Masaomi

KIMURA Masaomi
Associate Professor
Faculty Department of Environmental Management
Researchmap https://researchmap.jp/masaomi

Education and Career

Education

  • - 2006/03 , The University of Tokyo, Faculty of Agriculture,
  • 2006/04 - 2011/03 , The University of Tokyo, Graduate School of Agricultural and Life Sciences,

Academic & Professional Experience

  • Apr. 2023 - Today , Kindai University Faculty of Agriculture Department of Environmental Management Associate Professor
  • Apr. 2020 - Mar. 2023 , Kindai University Faculty of Agriculture Department of Environmental Management Lecturer
  • Apr. 2019 - Mar. 2020 , Cabinet Office, Government of Japan Council for Science, Technology and Innovation Policy Analyst for Energy and Environment
  • Apr. 2015 - Mar. 2020 , The University of Tokyo Graduate School of Agricultural and Life Sciences Assistant Professor
  • Sep. 2013 - Mar. 2015 , The University of Tokyo Graduate School of Agricultural and Life Sciences Assistant Professor
  • May. 2011 - Aug. 2013 , The University of Tokyo Graduate School of Agricultural and Life Sciences Researcher
  • Apr. 2011 - Apr. 2011 , The University of Tokyo Graduate School of Agricultural and Life Sciences Researcher

Research Activities

Research Areas

  • Environmental science/Agricultural science, Social-ecological systems
  • Environmental science/Agricultural science, Rural environmental engineering and planning

Published Papers

  1. Mapping wild boar capture likelihood using public surveillance records: A Maxent-based case study in Northern Nara, Japan
    Masaomi Kimura; Yuki Katayama; Atsushi Okayama; Atsushi Yamamoto; Yutaka Matsuno
    Engineering, Technology & Applied Science Research  16  (4)  , 38324-38331, Aug. 2026  , Refereed
  2. Interpretable machine learning for groundwater-level prediction incorporating pumping-well power consumption
    Sheng-Wei Wang; Masaomi Kimura; Andreas Wunsch; Yen-Yu Chen; Wen-Chi Chen
    Applied Water Science  16  (8)  , 241-, Aug. 2026  , Refereed
  3. Estimating the nutrient load balance and wetland purification function in the urbanizing Mak Hiao River basin in Vientiane, Laos
    Masaomi Kimura; Keigo Noda; Yohei Asada; Somphasith Douangsavanh; Keoduangchai Keokhamphui; Hiromasa Hamada; Yutaka Matsuno; Tasuku Kato
    Hydrological Sciences Journal  71  (6)  , 1225-1241, May. 2026  , Refereed

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Books etc

  1. Hydrology and Water Resources Handbook 2nd Edition , Japan Society of Hydrology and Water Resources (ed.) , 14.4.2 水に関する我が国の取組 (14.4 SDGs) , Asakura Publishing Co., Ltd. , Sep. 2022

Conference Activities & Talks

  1. A physics-informed deeplearning framework for modeling vertical lake temperature dynamics , Wenpeng Xie; Masaomi Kimura; Hongmei Li , AOGS 2026 , 6, Aug. 2026
  2. Evaluating freshwater carbon sequestration: a pH-based assessment of reservoir metabolism , Yuening Peng; Keisuke Nakayama; Hibiki Yoneda; Hiroyuki Maeta; Satoshi Watanabe; Masaomi Kimura , AOGS 2026 , 3, Aug. 2026
  3. Metabolic response to pH variation in freshwater reservoirs , Yuening Peng; Keisuke Nakayama; Hibiki Yoneda; Hiroyuki Maeta; Satoshi Watanabe; Masaomi Kimura , 25th IAHR-APD Congress , 22, Jul. 2026

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MISC

  1. 中山間地の分散型農地における双方向灌漑制御システムの開発－奈良県五條吉野地域のカキ栽培を対象に－ , 岡山 貴史; 山本 純之; 木村 匡臣; 松野 裕 , 畑地農業 , 808 , 1 , 6 , Mar. 2026
  2. Computational thermal analysis for health monitoring of concrete dam structures using shadow modeling and deep learning , Kazuma Shibano; Masaomi Kimura; Kentaro Ohno; Ninel Alver; Tetsuya Suzuki , Computational Modelling of Concrete and Concrete Structures , 622 , 630 , Mar. 2026
  3. Evaluation of Subsurface Damage for In-Service Concrete Dam by Time-Series Deep Learning with Three-Dimensional Shadow Modeling , Kazuma Shibano; Taiki Hagiwara; Tetsuya Suzuki; Kentaro Ohno; Masaomi Kimura; Ninel Alver , e-Journal of Nondestructive Testing , 30 , 10 , Oct. 2025

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Awards & Honors

  1. Oct. 2025, International Society of Paddy and Water Environment Engineering, 2025 Paper Award
  2. Nov. 2023, International Commission on Irrigation and Drainage, Best Paper Award 2023
  3. Aug. 2023, The Japanese Society of Irrigation, Drainage and Rural Engineering, 2023年度 研究奨励賞

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Research Grants & Projects

  1. Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Estimation of Carbon Dioxide Sequestration in Freshwater Carbon Ecosystem , Kobe University
  2. Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Assessment of Ecosystem Services and Future Potential of Taro Patch Systems in Palau , Kindai University
  3. Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Development of a Disaster Risk Assessment Method based on Damage Detection for Agricultural Concrete Dams , Niigata University

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