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December 1, 1967Water Resources Research

Mathematical assessment of synthetic hydrology

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Authors

NMN. C. MatalasUnited States Geological Survey

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Implication

Mathematical assessment generates synthetic sequences in hydrology, minimizing biases in historical data estimation.

Key Points

  • The aim is to create synthetic hydrological sequences that closely mimic historical data characteristics.
  • Utilized a multivariate, weakly stationary process for sequence generation.
  • Applied maximum likelihood estimates to improve parameter accuracy.
  • Employed regionalization techniques to refine historical data estimates.
  • Synthetic sequences matched historical means and standard deviations closely.
  • Achieved consistent lag-one serial correlation values.
  • Reduced bias in parameters through maximum likelihood estimation techniques.

Cite This Study

N. C. Matalas (1967) studied this question.

synapsesocial.com/papers/6a1e13a4e5e992f6039fd241https://doi.org/10.1029/wr003i004p00937
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