• Title/Summary/Keyword: axially periodic transient storage zones

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Development of Axially Periodic Transient Storage Zone Model for the Solute Mixing in Natural Streams and Rivers with Various Bottom Boundaries (하상변화가 있는 자연하천에서의 오염물질 거동해석을 위한 주기적저장대모형 개발)

  • Cheeong, Tae Sung;Seo, Il Won
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.6B
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    • pp.623-631
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    • 2006
  • A new model, the periodic transient storage zone model, is developed to describe solute transport mixing in natural streams and rivers with various bottom boundaries. To assess the effects of storage zones structure on transient storage exchange, we analyze data from salt and dye injection experiments in a recirculating laboratory flume with four spatially periodic pool-riffle sequences characteristic of natural river systems under low flow conditions. Dye injections show that solute transport mixing controlled by surface shapes of both the bed and the side in channels. As no existing transient storage model could represent these effects, we developed a new axially periodic transient storage zone model that better represent the effects of channel characteristics in natural river systems. The new model is also fitted to data from salt tracer injection experiments in four reaches of the upper Sabin River, Texas, USA. The proposed model is in good agreement with the field experimental data.

Development of Multiple Transient Storage Model Using Particle Tracking Method (입자추적방법을 이용한 다중저장대모형 개발)

  • Cheong, Tae-Sung;Seo, Il-Won
    • Journal of Korea Water Resources Association
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    • v.37 no.4
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    • pp.257-271
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    • 2004
  • To evaluate behavior in representing solute transport in natural streams, the storage zone model of the axially periodic transient storage zones is developed. The periodic transient storage zone model and continuous storage zone model are verified using the parameters and the tracer concentration vs. time curves observed in laboratory channels. The periodic storage zone model best fit the measured concentration vs. time curves, while the continuous storage model fails to describe some fluctuations and the plateau region of the tail occurring in a discontinuous transient storage system. Dispersion data from Shingobee River, Minnesota, U. S. A. show that the concentration curves simulated by the proposed model fit the observed concentration curves well.