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Analysis of rainfall erosivity factor (R) on prediction of erosion yield using USLE and RUSLE Model’s; A case study in Mayang Watershed, Jember Regency, Indonesia

SAINS TANAH - Journal of Soil Science and Agroclimatology · Vol. 21 No. 1 (2024) · hlm. 64–73

DOI
10.20961/stjssa.v21i1.63641
ISSN
2356-1424, 1412-3606
Terbit
2024-06-30
Penerbit
Universitas Sebelas Maret
Bahasa
en

Abstrak

The Rainfall erosivity has a relatively high effect on soil erosion, in addition to being very difficult to predict and control. The Universal Soil Loss Equation (USLE) and The Revised Universal Soil Loss Equation (RUSLE) model are commonly used to predict erosion yield in Indonesia. However, these models have several erosivity formulations that give different results. In this sense, identifying the sensitivity of different erosivity formulations in both models above is important. The aim of this study is to analyze soil erosion yield prediction influenced by the difference in erosivity equation on the same rainfall data used in the models while other parameters used are the same. The monthly rainfall and annual rainfall data were tested using the erosivity formulas. The (1) Bols and (2) Utomo equations were tested using monthly rainfall data, while the (3) Bols and (4) Hurni equations were tested using annual rainfall data. The results show that the prediction of soil erosion yields estimates using monthly rainfall data in both models have no significant differences. On the other hand, soil erosion estimates using annual rainfall data in the models have significant differences, whereas the USLE model estimation results in 63% erosion yield on low classification (0-15 ton ha-1 year-1). Meanwhile, the RUSLE model estimates only 59% erosion yield on low classifications. Another result is that the USLE model estimates lower erosion yield than the RUSLE model when the models use annual rainfall data, which may give significantly different recommendations for soil conservation in Indonesia, especially in reducing erosion yield at the Watershed level.

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  • Universitas Jember
  • Diponegoro University
  • Universitas Pekalongan
  • Centre de Coopération Internationale en Recherche Agronomique pour le Développement
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  • Organisasi berbeda
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Rekan penulisOrganisasiArtikel bersama
Elida NovitaUniversitas Jember2
Fariz Kustiawan AlfarisyUniversitas Jember2
Entin HidayahUniversitas Jember1
Budiyono BudiyonoDiponegoro University1
Arif FaisolAfiliasi tidak diketahui1
Mohammad HoesainUniversitas Jember1
Farchan Mushaf Al RamadhaniUniversitas Pekalongan1
Ankardiansyah Pandu PradanaUniversitas Jember1
Sri WahyuningsihUniversitas Jember1
Cahyoadi BowoUniversitas Jember1
Farid Lukman HakimUniversitas Jember1
Marga MandalaUniversitas Jember1
Fery Febrian ArifinUniversitas Jember1
Erika Ajeng Nawang LohitaUniversitas Jember1
Rufiani NadzirahUniversitas Jember1
Damien JourdainCentre de Coopération Internationale en Recherche Agronomique pour le Développement1

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Sumber metadata: OAI-PMH (metadata jurnal) https://jurnal.uns.ac.id/tanah/oai, pertama di-harvest 10 Nov 2026, terakhir terlihat 10 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">Analysis of rainfall erosivity factor (R) on prediction of erosion yield using USLE and RUSLE Model’s; A case study in Mayang Watershed, Jember Regency, Indonesia</dc:title>
	<dc:creator xml:lang="en">Andriyani, Idah</dc:creator>
	<dc:creator xml:lang="en">Indarto, Indarto</dc:creator>
	<dc:creator xml:lang="en">Soekarno, Siswoyo</dc:creator>
	<dc:creator xml:lang="en">Pradana, Masdharul Putra</dc:creator>
	<dc:subject xml:lang="en">Erodibility</dc:subject>
	<dc:subject xml:lang="en">GIS integration</dc:subject>
	<dc:subject xml:lang="en">Sensitivity analysis</dc:subject>
	<dc:subject xml:lang="en">Soil erosion</dc:subject>
	<dc:subject xml:lang="en">Watershed management</dc:subject>
	<dc:description xml:lang="en">The Rainfall erosivity has a relatively high effect on soil erosion, in addition to being very difficult to predict and control. The Universal Soil Loss Equation (USLE) and The Revised Universal Soil Loss Equation (RUSLE) model are commonly used to predict erosion yield in Indonesia. However, these models have several erosivity formulations that give different results. In this sense, identifying the sensitivity of different erosivity formulations in both models above is important. The aim of this study is to analyze soil erosion yield prediction influenced by the difference in erosivity equation on the same rainfall data used in the models while other parameters used are the same. The monthly rainfall and annual rainfall data were tested using the erosivity formulas. The (1) Bols and (2) Utomo equations were tested using monthly rainfall data, while the (3) Bols and (4) Hurni equations were tested using annual rainfall data. The results show that the prediction of soil erosion yields estimates using monthly rainfall data in both models have no significant differences. On the other hand, soil erosion estimates using annual rainfall data in the models have significant differences, whereas the USLE model estimation results in 63% erosion yield on low classification (0-15 ton ha-1 year-1). Meanwhile, the RUSLE model estimates only 59% erosion yield on low classifications. Another result is that the USLE model estimates lower erosion yield than the RUSLE model when the models use annual rainfall data, which may give significantly different recommendations for soil conservation in Indonesia, especially in reducing erosion yield at the Watershed level.</dc:description>
	<dc:publisher xml:lang="en">Universitas Sebelas Maret</dc:publisher>
	<dc:date>2024-06-30</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://jurnal.uns.ac.id/tanah/article/view/63641</dc:identifier>
	<dc:identifier>10.20961/stjssa.v21i1.63641</dc:identifier>
	<dc:source xml:lang="en">SAINS TANAH - Journal of Soil Science and Agroclimatology; Vol. 21 No. 1 (2024): June; 64-73</dc:source>
	<dc:source>2356-1424</dc:source>
	<dc:source>1412-3606</dc:source>
	<dc:source>10.20961/stjssa.v21i1</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://jurnal.uns.ac.id/tanah/article/view/63641/45747</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2024 Idah Andriyani, Indarto, Siswoyo Soekarno, Masdharul Putra Pradana</dc:rights>
</oai_dc:dc>