Developing a new deconvolution technique to model rainfall-runoff in arid environments.

Shlomo P Neuman; S. D. Resnick; R. W. Peebles

Developing a new deconvolution technique to model rainfall-runoff in arid environments.

Shlomo P Neuman, S. D. Resnick, R. W. Peebles

Research output: Contribution to journal › Article › peer-review

Abstract

Noisy rainfall runoff records of short duration are encountered in arid environments where rainfall often occurs in short isolated bursts and the data are measured with a considerable margin of error. Known noise was superimposed on synthetic rainfall runoff data to examine the ability of the Neuman-de Marsily deconvolution method to estimate the correct impulse response of the system when the data include only a single storm event. It is demonstrated that the deconvolution model leads to reliable estimates and can be used in the presence of realistic noise levels.-from STAR, 21(17), 1983

Original language	English (US)
Journal	[No source information available]
State	Published - Jan 1 1982
Externally published	Yes

ASJC Scopus subject areas

Environmental Science(all)
Earth and Planetary Sciences(all)

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abstract = "Noisy rainfall runoff records of short duration are encountered in arid environments where rainfall often occurs in short isolated bursts and the data are measured with a considerable margin of error. Known noise was superimposed on synthetic rainfall runoff data to examine the ability of the Neuman-de Marsily deconvolution method to estimate the correct impulse response of the system when the data include only a single storm event. It is demonstrated that the deconvolution model leads to reliable estimates and can be used in the presence of realistic noise levels.-from STAR, 21(17), 1983",

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N2 - Noisy rainfall runoff records of short duration are encountered in arid environments where rainfall often occurs in short isolated bursts and the data are measured with a considerable margin of error. Known noise was superimposed on synthetic rainfall runoff data to examine the ability of the Neuman-de Marsily deconvolution method to estimate the correct impulse response of the system when the data include only a single storm event. It is demonstrated that the deconvolution model leads to reliable estimates and can be used in the presence of realistic noise levels.-from STAR, 21(17), 1983

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