Browse Illinois Water Resources Center by Author "Chow, Ven Te"

  • Chow, Ven Te (University of Illinois at Urbana-Champaign. Water Resources Center, 1973-06)
    This report describes the development of a multiple-input stochastic hydrologic system model for the analysis of hydrologic behavior of watersheds. Various components of the hydrologic system are expressed by time series, ...

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  • Chow, Ven Te; Cortes-Rivera, Gonzalo (University of Illinois at Urbana-Champaign. Water Resources Center, 1974-01)
    This is the completion report for the second phase of a research program on advanced methodologies for water resources planning. It summarizes the various achievements accomplished during the period of the project. The ...

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  • Waterman, David M.; Garcia, Marcelo H.; Chow, Ven Te (University of Illinois at Urbana-Champaign. Water Resources Center, 2013-05-12)
    Meandering river migration over large spatial and temporal scales has traditionally been numerically simulated using a bank erosion submodel that calculates the eroding bank migration rate as the product of the near-bank ...

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  • Chow, Ven Te (University of Illinois at Urbana-Champaign. Water Resources Center, 1971-10)

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  • Waterman, David M.; Garcia, Marcelo H.; Chow, Ven Te (University of Illinois at Urbana-Champaign. Water Resources Center, 2013-05)
    Meandering river migration over large spatial and temporal scales has traditionally been numerically simulated using a bank erosion submodel that calculates the eroding bank migration rate as the product of the near-bank ...

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  • Chow, Ven Te; Kim, Dong Hee; Maidment, David R.; Ula, Taylan A. (University of Illinois at Urbana-Champaign. Water Resources Center, 1975-10)
    This report describes the development of an analytical scheme for the formulation and optimization of water resources systems. The scheme being proposed and investigated is to model the stochastic input of annual as well ...

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  • Chow, Ven Te (University of Illinois at Urbana-Champaign. Water Resources Center, 1969-12)
    Hydrologic phenomena are in reality stochastic in nature; that is, their behavior changes with the time in accordance with the law of probability as well as with the sequential relationship between the occurrences of the ...

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