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On the reliability of gamma distributed dsds for modelling kinetic energy of rainfall(dagger)

Mineo, C. (author)
Univ Roma La Sapienza, Dipartimento Ingn Civile Edile & Ambientale, Rome, Italy.
Ridolfi, Elena (author)
Uppsala universitet,Luft-, vatten- och landskapslära,Uppsala Univ, Dept Earth Sci, Uppsala, Sweden.;Ctr Nat Hazards & Disaster Sci CNDS, Uppsala, Sweden.
Moccia, B. (author)
Univ Roma La Sapienza, Dipartimento Ingn Civile Edile & Ambientale, Rome, Italy.
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Napolitano, F. (author)
Univ Roma La Sapienza, Dipartimento Ingn Civile Edile & Ambientale, Rome, Italy.
Russo, F. (author)
Univ Roma La Sapienza, Dipartimento Ingn Civile Edile & Ambientale, Rome, Italy.
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Univ Roma La Sapienza, Dipartimento Ingn Civile Edile & Ambientale, Rome, Italy Luft-, vatten- och landskapslära (creator_code:org_t)
2020-07-22
2020
English.
In: Irrigation and Drainage. - : WILEY. - 1531-0353 .- 1531-0361. ; 69:5, s. 1176-1191
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • To retrieve the gamma drop size distribution (DSD) parameters from observed drop spectra, the most common approach is the method of moments (MM). However, the goodness of this method is still disputed. To assess its reliability, the aims of this paper are: (i) estimation of empirical values of rainfall rate (I) and kinetic energy (KE) from DSD measurements collected by a laser-optical disdrometer; (ii) estimation of gamma DSD parameters by MM and another widespread method, i.e. maximum likelihood (ML); (iii) evaluation of theoretical values of rainfall rate and KE and comparison between these values and measured ones. The novelty of this work is the assessment of both MM and ML using the rainfall intensity measured by the disdrometer as a benchmark, rather than the KE or a statistical test as done in common practice. The assessment of the goodness of the estimates was performed on variables most investigated in soil erosion studies (i.e.Iand KE). Results show that smaller error values are associated with ML and that MM does not provide reliable estimations ofI.On the other hand, both methods substantially underestimate KE with increasing rainfall intensity. (c) 2020 John Wiley & Sons, Ltd.

Subject headings

NATURVETENSKAP  -- Geovetenskap och miljövetenskap -- Oceanografi, hydrologi och vattenresurser (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences -- Oceanography, Hydrology and Water Resources (hsv//eng)

Keyword

disdrometer
drop size distribution
rainfall intensity
rainfall kinetic energy
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Mineo, C.
Ridolfi, Elena
Moccia, B.
Napolitano, F.
Russo, F.
About the subject
NATURAL SCIENCES
NATURAL SCIENCES
and Earth and Relate ...
and Oceanography Hyd ...
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Irrigation and D ...
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Uppsala University

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