Data on 33 years of erroneous usage of rainfall erosivity equations

Bezak, Nejc (author), Lebar, Klaudija (author), Huang, Yu-Chieh (author), Chen, Walter (author)

This paper describes the data gathered for a paper published in Earth-Science Reviews (DOI: 10.1016/j.earscirev.2023.104339) to address the problem of studies using incorrect equations to calculate rainfall erosivity (R factor), which can lead to issues related to land degradation, soil productivity loss, and biodiversity loss. The aim was to locate articles containing the incorrect equations and create a relational database that could be used to perform an in-depth analysis of the errors. Because the search target is an equation, it is impossible to directly query any literature database for the articles that contain the incorrect R equations. Therefore, a manual search of multiple databases was conducted. Subsequently, the literature search was broadened to identify the origin of the misuse of the R equations, and SQL (Structured Query Language) queries were formulated to understand why the errors continued to persist for a minimum of 33 years. The resulting entity-relationship-based Microsoft Access database was determined to be a valuable tool for performing in-depth analysis. It can be used to add incorrect studies and perform further analysis. It is suggested that further research should be conducted to determine the extent of the impact of these errors on soil erosion, ecosystems, and the environment.

• Language: English
• Keywords: relational database, empirical R equation, rainfall erosivity, land degradation, climate change, environmental education, soil erosion
• Work type: Article
• Typology: 1.03 - Other scientific articles
• Organization: FGG - Faculty of Civil and Geodetic Engineering
• Publication status: Published
• Publication version: Version of Record
• Year: 2023
• Number of pages: 4 str.
• Numbering: Vol. 8, iss. 5, art. 75
• PID: 20.500.12556/RUL-146468
• UDC: 556.5
• ISSN on article: 2306-5729
• DOI: 10.3390/data8050075
• COBISS.SI-ID: 150793987
• Publication date in RUL: 02.06.2023

Record is a part of a journal

• Title: Data
• Shortened title: Data
• Publisher: MDPI AG
• ISSN: 2306-5729
• COBISS.SI-ID: 526325273

Licences

• License: CC BY 4.0, Creative Commons Attribution 4.0 International
• Link: http://creativecommons.org/licenses/by/4.0/
• Description: This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

• Language: Slovenian
• Keywords: hidrologija, baza podatkov, empirična R enačba, erozivnost padavin, degradacija tal, sprememba podnebja, okoljska vzgoja, erozija tal

Projects

• Funder: ARRS - Slovenian Research Agency
• Project number: P2-0180
• Name: Vodarstvo in geotehnika: orodja in metode za analize in simulacije procesov ter razvoj tehnologij

• Funder: ARRS - Slovenian Research Agency
• Project number: J6-4628
• Name: Vrednotenje hibridne infrastrukture za zmanjševanje ogroženosti pod vplivom podnebnih sprememb