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 |
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ASJC Scopus subject areas
- Environmental Science(all)
- Earth and Planetary Sciences(all)
Cite this
Developing a new deconvolution technique to model rainfall-runoff in arid environments. / Neuman, Shlomo P; Resnick, S. D.; Peebles, R. W.
In: [No source information available], 01.01.1982.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Developing a new deconvolution technique to model rainfall-runoff in arid environments.
AU - Neuman, Shlomo P
AU - Resnick, S. D.
AU - Peebles, R. W.
PY - 1982/1/1
Y1 - 1982/1/1
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
AB - 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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M3 - Article
AN - SCOPUS:85040844873
JO - [No source information available]
JF - [No source information available]
ER -