Qualitative simulation of bathymetric changes due to reservoir sedimentation: A Japanese case study

Research output: Contribution to journalArticle

Abstract

Sediment-dynamics modeling is a useful tool for estimating a dam's lifespan and its cost-benefit analysis. Collecting real data for sediment-dynamics analysis from conventional field survey methods is both tedious and expensive. Therefore, for most rivers, the historical record of data is either missing or not very detailed. Available data and existing tools have much potential and may be used for qualitative prediction of future bathymetric change trend. This study shows that proxy approaches may be used to increase the spatiotemporal resolution of flow data, and hypothesize the river cross-sections and sediment data. Sediment- dynamics analysis of the reach of the Tenryu River upstream of Sakuma Dam in Japan was performed to predict its future bathymetric changes using a 1D numerical model (HEC-RAS). In this case study, only annually-averaged flow data and the river's longitudinal bed profile at 5-year intervals were available. Therefore, the other required data, including river cross-section and geometry and sediment inflow grain sizes, had to be hypothesized or assimilated indirectly. The model yielded a good qualitative agreement, with an R2 (coefficient of determination) of 0.8 for the observed and simulated bed profiles. A predictive simulation demonstrated that the useful life of the dam would end after the year 2035 (±5 years), which is in conformity with initial detailed estimates. The study indicates that a sedimentdynamic analysis can be performed even with a limited amount of data. However, such studies may only assess the qualitative trends of sediment dynamics.

Details

Authors
Organisations
External organisations
  • Hohai University
  • National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety
  • Lund University
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Water Engineering
Original languageEnglish
Article numbere0174931
JournalPLoS ONE
Volume12
Issue number4
Publication statusPublished - 2017 Apr 1
Publication categoryResearch
Peer-reviewedYes