Estimation of RUSLE EI30 based on 10 min interval rainfall data and GIS-based development of rainfall erosivity maps for Hitotsuse basin in Kyushu Japan

Purnama B. Santosa, Yasuhiro Mitani, Hiro Ikemi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Land erosion is regarded as one of the most important phenomenon causes land degradation. In revised universal soil loss equation (RUSLE) erosion model, rainfall erosivity factor (R) is one of the important parameters. Ideally, the calculation of EI30 (R factor) uses breakpoint rainfall intensity data which is calculated manually from graphical charts that are generated by continuously recording rain gauges. However, due to limited availability of breakpoint rainfall data, many simple methods for estimating EI30 have been developed by using yearly, monthly and daily rainfall data. In this research, due to limited data availability, pluviograph data at 10 minute interval from eight stations in Hitotsuse basin were used to compute EI 30 (R factor) for RUSLE. The approach used in this research is based on storm rainfall and duration data from 1990 to 2009. This method is based on the calculation of rainfall energy per unit depth of rainfall, total storm kinetic energy (E), rainfall intensity for a particular increment of a rainfall, and maximum 30 minute rainfall intensity. Furthermore, EI30 were computed, and then GIS method was used to create rainfall erosivity maps. The annual rainfall erosivity values prediction model was developed based on MFI values.

Original languageEnglish
Title of host publication2010 18th International Conference on Geoinformatics, Geoinformatics 2010
DOIs
Publication statusPublished - Oct 25 2010
Event2010 18th International Conference on Geoinformatics, Geoinformatics 2010 - Beijing, China
Duration: Jun 18 2010Jun 20 2010

Publication series

Name2010 18th International Conference on Geoinformatics, Geoinformatics 2010

Other

Other2010 18th International Conference on Geoinformatics, Geoinformatics 2010
CountryChina
CityBeijing
Period6/18/106/20/10

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Geography, Planning and Development

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    Santosa, P. B., Mitani, Y., & Ikemi, H. (2010). Estimation of RUSLE EI30 based on 10 min interval rainfall data and GIS-based development of rainfall erosivity maps for Hitotsuse basin in Kyushu Japan. In 2010 18th International Conference on Geoinformatics, Geoinformatics 2010 [5568195] (2010 18th International Conference on Geoinformatics, Geoinformatics 2010). https://doi.org/10.1109/GEOINFORMATICS.2010.5568195