Matches in SemOpenAlex for { <https://semopenalex.org/work/W2010358532> ?p ?o ?g. }
- W2010358532 endingPage "102" @default.
- W2010358532 startingPage "88" @default.
- W2010358532 abstract "Water erosion has been considered as the most important worldwide environmental problem, being especially caused by intense rainfall events. The potential of rain to generate soil erosion is known as rainfall erosivity and its estimation is fundamental for the understanding of climatic vulnerability of a given region. This work aims to develop models for estimating mean annual rainfall erosivity for Brazilian regions based on multiple linear regression, using latitude, longitude and altitude as predictors for the models. Equations for rainfall erosivity estimations as function of the Modified Fournier Index (MFI) were acquired from 54 Brazilian pluviographic stations (termed as “Main Stations” in this work) to generate the database for this study. These equations were applied to estimate mean annual rainfall erosivity for 773 different rain gauges taking into account historical series with at least 15 consecutive years of daily precipitation and considering the similarity of the Precipitation Concentration Index (PCI). These rain gauges contain only pluviometric records, thus allowing the rainfall erosivity calculation in function of MFI in accordance with the order of PCI. The goodness-of-fit of each model was evaluated taking into account the adjusted coefficient of determination and the significance level of each variable. Moreover, the mean absolute error, bias of estimation, and the residual probability distribution were evaluated for other 155 rain gauges which were used exclusively for validation. All the adjusted multivariate models presented acceptable values for the statistical coefficients, being possible to estimate the mean annual rainfall erosivity for any location in Brazil using only its geographical coordinates and altitude. An annual rainfall erosivity map was created for Brazil based on the multivariate models and ordinary kriging map for residuals derived from the models (regression-kriging technique). It can be concluded that this map resulted in a spatial distribution of EI30 better than the former map and, in addition, it can be considered an important update related to the rainfall erosivity study in Brazil since more representative data sets were used." @default.
- W2010358532 created "2016-06-24" @default.
- W2010358532 creator A5020698511 @default.
- W2010358532 creator A5044634066 @default.
- W2010358532 creator A5047092414 @default.
- W2010358532 creator A5047446353 @default.
- W2010358532 date "2013-07-01" @default.
- W2010358532 modified "2023-10-02" @default.
- W2010358532 title "Multivariate models for annual rainfall erosivity in Brazil" @default.
- W2010358532 cites W1216681937 @default.
- W2010358532 cites W1546521836 @default.
- W2010358532 cites W1913986727 @default.
- W2010358532 cites W1968572151 @default.
- W2010358532 cites W1971487124 @default.
- W2010358532 cites W1973554488 @default.
- W2010358532 cites W1975410837 @default.
- W2010358532 cites W1978920219 @default.
- W2010358532 cites W1980575719 @default.
- W2010358532 cites W1984240952 @default.
- W2010358532 cites W1984347445 @default.
- W2010358532 cites W1988489804 @default.
- W2010358532 cites W1994074733 @default.
- W2010358532 cites W1997336853 @default.
- W2010358532 cites W1997345476 @default.
- W2010358532 cites W1998370199 @default.
- W2010358532 cites W1999499611 @default.
- W2010358532 cites W2007169365 @default.
- W2010358532 cites W2008949826 @default.
- W2010358532 cites W2016213500 @default.
- W2010358532 cites W2020668460 @default.
- W2010358532 cites W2022751767 @default.
- W2010358532 cites W2023380448 @default.
- W2010358532 cites W2028233827 @default.
- W2010358532 cites W2028995354 @default.
- W2010358532 cites W2030247242 @default.
- W2010358532 cites W2032722321 @default.
- W2010358532 cites W2033947751 @default.
- W2010358532 cites W2038372526 @default.
- W2010358532 cites W2039240409 @default.
- W2010358532 cites W2041065975 @default.
- W2010358532 cites W2046682258 @default.
- W2010358532 cites W2049472359 @default.
- W2010358532 cites W2051690261 @default.
- W2010358532 cites W2067119462 @default.
- W2010358532 cites W2069327465 @default.
- W2010358532 cites W2072469528 @default.
- W2010358532 cites W2073586657 @default.
- W2010358532 cites W2077528518 @default.
- W2010358532 cites W2082539879 @default.
- W2010358532 cites W2089656701 @default.
- W2010358532 cites W2089666820 @default.
- W2010358532 cites W2107223722 @default.
- W2010358532 cites W2110975168 @default.
- W2010358532 cites W2116075925 @default.
- W2010358532 cites W2123601199 @default.
- W2010358532 cites W2133460506 @default.
- W2010358532 cites W2136611782 @default.
- W2010358532 cites W2142585837 @default.
- W2010358532 cites W2144064225 @default.
- W2010358532 cites W2145390719 @default.
- W2010358532 cites W2160153909 @default.
- W2010358532 cites W2166419395 @default.
- W2010358532 doi "https://doi.org/10.1016/j.geoderma.2013.03.009" @default.
- W2010358532 hasPublicationYear "2013" @default.
- W2010358532 type Work @default.
- W2010358532 sameAs 2010358532 @default.
- W2010358532 citedByCount "96" @default.
- W2010358532 countsByYear W20103585322014 @default.
- W2010358532 countsByYear W20103585322015 @default.
- W2010358532 countsByYear W20103585322016 @default.
- W2010358532 countsByYear W20103585322017 @default.
- W2010358532 countsByYear W20103585322018 @default.
- W2010358532 countsByYear W20103585322019 @default.
- W2010358532 countsByYear W20103585322020 @default.
- W2010358532 countsByYear W20103585322021 @default.
- W2010358532 countsByYear W20103585322022 @default.
- W2010358532 countsByYear W20103585322023 @default.
- W2010358532 crossrefType "journal-article" @default.
- W2010358532 hasAuthorship W2010358532A5020698511 @default.
- W2010358532 hasAuthorship W2010358532A5044634066 @default.
- W2010358532 hasAuthorship W2010358532A5047092414 @default.
- W2010358532 hasAuthorship W2010358532A5047446353 @default.
- W2010358532 hasConcept C105795698 @default.
- W2010358532 hasConcept C107054158 @default.
- W2010358532 hasConcept C120961793 @default.
- W2010358532 hasConcept C122523270 @default.
- W2010358532 hasConcept C123157820 @default.
- W2010358532 hasConcept C127313418 @default.
- W2010358532 hasConcept C13280743 @default.
- W2010358532 hasConcept C151730666 @default.
- W2010358532 hasConcept C153294291 @default.
- W2010358532 hasConcept C161584116 @default.
- W2010358532 hasConcept C187320778 @default.
- W2010358532 hasConcept C205649164 @default.
- W2010358532 hasConcept C2524010 @default.
- W2010358532 hasConcept C2780554747 @default.
- W2010358532 hasConcept C33923547 @default.
- W2010358532 hasConcept C39432304 @default.