Evaluation of Discrepancies in Spatial Distribution of Rainfall Erosivity in the Czech Republic Caused by Different Approaches Using GIS and Geostatistical Tools

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F17%3A73403" target="_blank" >RIV/60460709:41330/17:73403 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.17221/176/2015-SWR" target="_blank" >http://dx.doi.org/10.17221/176/2015-SWR</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.17221/176/2015-SWR" target="_blank" >10.17221/176/2015-SWR</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Evaluation of Discrepancies in Spatial Distribution of Rainfall Erosivity in the Czech Republic Caused by Different Approaches Using GIS and Geostatistical Tools

Popis výsledku v původním jazyce

The study presents all approaches of rainfall erosivity factor (R) computation and estimation used in the Czech Republic (CR). A lot of distortions stem from the difference in erosive rainfall criteria, time period, tipping rain gauges errors, low temporal resolution of rainfall data, the type of interpolation method, and inappropriate covariates. Differences in resulting R values and their spatial distribution caused by the described approaches were analyzed using the geostatistical method of Empirical Bayesian Kriging and the tools of the geographic information system (GIS). Similarity with the highest temporal resolution approach using 1 min rainfall data was analyzed. Different types of covariates were tested for incorporation to the cokriging method. Only longitude exhibits high correlation with R and can be recommended for the CR conditions. By incorporating covariates such as elevation, with no or weak correlation with R, the results can be distorted even by 81 percent. Because of sign

Název v anglickém jazyce

Evaluation of Discrepancies in Spatial Distribution of Rainfall Erosivity in the Czech Republic Caused by Different Approaches Using GIS and Geostatistical Tools

Popis výsledku anglicky

The study presents all approaches of rainfall erosivity factor (R) computation and estimation used in the Czech Republic (CR). A lot of distortions stem from the difference in erosive rainfall criteria, time period, tipping rain gauges errors, low temporal resolution of rainfall data, the type of interpolation method, and inappropriate covariates. Differences in resulting R values and their spatial distribution caused by the described approaches were analyzed using the geostatistical method of Empirical Bayesian Kriging and the tools of the geographic information system (GIS). Similarity with the highest temporal resolution approach using 1 min rainfall data was analyzed. Different types of covariates were tested for incorporation to the cokriging method. Only longitude exhibits high correlation with R and can be recommended for the CR conditions. By incorporating covariates such as elevation, with no or weak correlation with R, the results can be distorted even by 81 percent. Because of sign

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10508 - Physical geography

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název periodika

Soil and Water Research

ISSN

1801-5395

e-ISSN

—

Svazek periodika

12

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

11

Strana od-do

117-127

Kód UT WoS článku

000399433900006

EID výsledku v databázi Scopus

2-s2.0-85018701413