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On the reliability ...
On the reliability of gamma distributed dsds for modelling kinetic energy of rainfall(dagger)
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- Mineo, C. (author)
- Univ Roma La Sapienza, Dipartimento Ingn Civile Edile & Ambientale, Rome, Italy.
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- Ridolfi, Elena (author)
- Uppsala universitet,Luft-, vatten- och landskapslära,Uppsala Univ, Dept Earth Sci, Uppsala, Sweden.;Ctr Nat Hazards & Disaster Sci CNDS, Uppsala, Sweden.
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- 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.
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- 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.
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In: Irrigation and Drainage. - : WILEY. - 1531-0353 .- 1531-0361. ; 69:5, s. 1176-1191
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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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
- Resume
Publication and Content Type
- ref (subject category)
- art (subject category)
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