Review of methods of spatio-temporal evaluation of rainfall erosivity and their correct application

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F22%3A43921726" target="_blank" >RIV/62156489:43210/22:43921726 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1016/j.catena.2022.106454" target="_blank" >https://doi.org/10.1016/j.catena.2022.106454</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.catena.2022.106454" target="_blank" >10.1016/j.catena.2022.106454</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Review of methods of spatio-temporal evaluation of rainfall erosivity and their correct application

Popis výsledku v původním jazyce

Rainfall erosivity factor (R) is the key part of both the Universal Soil Loss Equation (USLE) and the Revised Universal Soil Loss Equation (RUSLE). Its accuracy is related to the rainfall kinetic energy equation, the number of rain gauge stations, spatial distribution of rain gauge stations network, type of rain gauges, recording temporal resolution, the time step of rainfall intensity used, used time period, type of interpolation method, used covariates for determination of R values at unmeasured places, and way of regionalisation of R values or its determination for a given locality. These aspects are described, compared and discussed, including several common discrepancies and distortions. All approaches to R factor computation and estimation are presented with a focus on central Europe. The approaches were divided into two groups: the first low temporal resolution approach (yearly - daily rainfall totals), and the second high temporal resolution approach (1-60 min rainfall totals). The relationship between the spatio-temporal distribution of R- and cover-management factor (C) values is described, including other methods of C-factor estimation. Several methods of R- and C-factor estimation and calculation were developed due to the lack of optimal data required by the original methodology or due to incorrect interpretation of given parameters or criteria. Also, inappropriate integration with the geographical information system (GIS) tools and Remote Sensing (RS) data may cause many simplifications and distortions of the original principles of the USLE/RUSLE. This review should help to choose the appropriate methodology of R- and C- factor calculation in the field of water erosion risk assessment and help to reach a more appropriate allocation of financial expenses of erosion control measures.

Název v anglickém jazyce

Review of methods of spatio-temporal evaluation of rainfall erosivity and their correct application

Popis výsledku anglicky

Rainfall erosivity factor (R) is the key part of both the Universal Soil Loss Equation (USLE) and the Revised Universal Soil Loss Equation (RUSLE). Its accuracy is related to the rainfall kinetic energy equation, the number of rain gauge stations, spatial distribution of rain gauge stations network, type of rain gauges, recording temporal resolution, the time step of rainfall intensity used, used time period, type of interpolation method, used covariates for determination of R values at unmeasured places, and way of regionalisation of R values or its determination for a given locality. These aspects are described, compared and discussed, including several common discrepancies and distortions. All approaches to R factor computation and estimation are presented with a focus on central Europe. The approaches were divided into two groups: the first low temporal resolution approach (yearly - daily rainfall totals), and the second high temporal resolution approach (1-60 min rainfall totals). The relationship between the spatio-temporal distribution of R- and cover-management factor (C) values is described, including other methods of C-factor estimation. Several methods of R- and C-factor estimation and calculation were developed due to the lack of optimal data required by the original methodology or due to incorrect interpretation of given parameters or criteria. Also, inappropriate integration with the geographical information system (GIS) tools and Remote Sensing (RS) data may cause many simplifications and distortions of the original principles of the USLE/RUSLE. This review should help to choose the appropriate methodology of R- and C- factor calculation in the field of water erosion risk assessment and help to reach a more appropriate allocation of financial expenses of erosion control measures.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10503 - Water resources

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

Catena

ISSN

0341-8162

e-ISSN

1872-6887

Svazek periodika

217

Číslo periodika v rámci svazku

October

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

9

Strana od-do

106454

Kód UT WoS článku

000824441600003

EID výsledku v databázi Scopus

2-s2.0-85132761675