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Impact of Disdrometer Types on Rainfall Erosivity Estimation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F20%3A00341064" target="_blank" >RIV/68407700:21110/20:00341064 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.3390/w12040963" target="_blank" >https://doi.org/10.3390/w12040963</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/w12040963" target="_blank" >10.3390/w12040963</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Impact of Disdrometer Types on Rainfall Erosivity Estimation

  • Original language description

    Soil erosion by water is affected by the rainfall erosivity, which controls the initial detachment and mobilization of soil particles. Rainfall erosivity is expressed through the rainfall intensity (I) and the rainfall kinetic energy (KE). KE–I relationships are an important tool for rainfall erosivity estimation, when direct measurement of KE is not possible. However, the rainfall erosivity estimation varies depending on the chosen KE–I relationship, as the development of KE–I relationships is affected by the measurement method, geographical rainfall patterns and data handling. This study investigated how the development of KE–I relationships and rainfall erosivity estimation is affected by the use of different disdrometer types. Rainfall data were collected in 1-min intervals from six optical disdrometers at three measurement sites in Austria, one site in Czech Republic and one site in New Zealand. The disdrometers included two disdrometers of each of the following types: the PWS100 Present Weather Sensor from Campbell Scientific, the Laser Precipitation Monitor from Thies Clima and the first generation Parsivel from OTT Hydromet. The fit of KE–I relationships from the literature varied among disdrometers and sites. Drop size and velocity distributions and developed KE–I relationships were device-specific and showed similarities for disdrometers of the same type across measurement sites. This hindered direct comparison of results from different types of disdrometers, even when placed at the same site. Thus, to discern spatial differences in rainfall characteristics the same type of measurement instrument should be used.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10503 - Water resources

Result continuities

  • Project

    <a href="/en/project/GF17-33751L" target="_blank" >GF17-33751L: Kinetic energy of rainfall as driving force of soil detachment and transport</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Water

  • ISSN

    2073-4441

  • e-ISSN

    2073-4441

  • Volume of the periodical

    12

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    18

  • Pages from-to

  • UT code for WoS article

    000539527500040

  • EID of the result in the Scopus database

    2-s2.0-85086802155