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2017 Fiscal Year Annual Research Report

Modelling "non-wedge-shaped" groundwater-seawater interactions under climate change and urbanization impacts and its implications for coastal development at the inner Tokyo Bay Area

Research Project

Project/Area Number 17J03852
Research InstitutionThe University of Tokyo

Principal Investigator

Liu Jiaqi  東京大学, 新領域創成科学研究科, 特別研究員(DC1)

Project Period (FY) 2017-04-26 – 2020-03-31
KeywordsRevised / Numerical Model / Niijima Island / Kujukuri Plain / Coastal Progradation / Conceptual Model
Outline of Annual Research Achievements

Project 1: Aiming at improving the reliability of the modeling results, the 2-D numerical model that developed in the previous work was revised. The 2-D model simulated tsunami-induced seawater intrusion and aquifer recovery process in Niijima Island.
Project 2: A vertical 2-D numerical model of the coastal groundwater system at the Kujukuri Plain was developed. Assuming the coastal progradation during 5 ka to 4 ka completed instantly, the numerical model simulated the dynamics of GSIs during this period.
Project 3: A vertical conceptual numerical model with a field scale of 300 m × 20 m (length × height) was developed. A total number of 89 simulation cases under various conditions were designed and simulated.

Current Status of Research Progress
Current Status of Research Progress

2: Research has progressed on the whole more than it was originally planned.

Reason

The objectives are: 1) to understand the formation mechanism of nws-GSIs (non-wedge-shaped groundwater-seawater interactions) in the Tokyo Bay Area; 2) to assess the impacts of GSIs dynamics on future coastal development. To analyze nws-GSIs, first it is necessary to establish an adequate understanding of each single factor. Therefore, two coastal areas in Japan were selected as the representative cases for studying the two factors: the Niijima Island for the factor of tsunami disasters (Project 1), and the Kujukuri Plain for the factor of coastal progradation (Project 2). Also, a conceptual model of variable density flow and mass transport in an unsaturated-saturated aquifer was developed (Project 3).

Strategy for Future Research Activity

Project 1: The lack of information on the groundwater salinity distribution at the coastal areas limits the reliability of the numerical model. To obtain the groundwater salinity data, a resistivity survey on the Niijima Island has been planned to be carried out during June 16-22, 2018. The data obtained from this survey is also expected to be used for confirming the bedrock surface elevation. The 3-D model in the previous work will be revised.
Project 2: A 3-D numerical model is planned to be developed to analyze the influence of tidal activities on GSIs in the next year of funding;
Project 3: A manuscript of this project is now under preparation and is planned to be submitted for publication in the next fiscal year.

  • Research Products

    (5 results)

All 2017

All Presentation (3 results) (of which Int'l Joint Research: 3 results) Funded Workshop (2 results)

  • [Presentation] Numerical Modeling of Variable Density Flow and Mass Transport in the Unsaturated-Saturated Aquifer under Ambient Groundwater Flow Conditions2017

    • Author(s)
      LIU Jiaqi
    • Organizer
      JpGU-AGU Joint Meeting 2017
    • Int'l Joint Research
  • [Presentation] Variable density Flow and Mass Transport in an Unsaturated-Saturated Aquifer under Horizontal Groundwater Flow Conditions: a 2-D Numerical Modeling Study of Flow Regimes and Parameter Sensitivity2017

    • Author(s)
      LIU Jiaqi
    • Organizer
      AGU Fall Meeting 2017
    • Int'l Joint Research
  • [Presentation] Predicting Groundwater Salinization and Aquifer Recovery Processes under Future Tsunami Disaster Scenarios: A Numerical Modeling Study at the Niijima Island, Japan2017

    • Author(s)
      LIU Jiaqi
    • Organizer
      AOGS-EGU Joint Conference on Natural Hazards
    • Int'l Joint Research
  • [Funded Workshop] AGU Fall Meeting 20172017

  • [Funded Workshop] AOGS-EGU Joint Conference on Natural Hazards2017

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Published: 2018-12-17  

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