Application of USLE for the prediction of nutrient losses in soil erosion processes

Mihara, Machito; Yamamoto, Naoyuki; Ueno, Takashi

doi:10.1007/s10333-005-0006-6

Cited by 15 publications

(14 citation statements)

References 3 publications

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“…Many researches indicated that the losses of particulate nutrient components in surface runoff from upland fields were much higher than dissolved ones, and sediment and suspended solids transported the nitrogen and phosphorus components (Mihara et al 2005;Ide et al 2008). Therefore, convenient erosion and sediment models can apply to doi: 10.2166/wst.2010.092 predict P losses.…”

Section: Introductionmentioning

confidence: 99%

Application of MUSLE for the prediction of phosphorus losses

Noor

Mirnia

Fazli

et al. 2010

Water Science and Technology

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Soil erosion in forestlands affects not only land productivity but also the water body down stream. The Universal Soil Loss Equation (USLE) has been applied broadly for the prediction of soil loss from upland fields. However, there are few reports concerning the prediction of nutrient (P) losses based on the USLE and its versions. The present study was conducted to evaluate the applicability of the deterministic model Modified Universal Soil Loss Equation (MUSLE) to estimation of phosphorus losses in the Kojor forest watershed, northern Iran. The model was tested and calibrated using accurate continuous P loss data collected during seven storm events in 2008. Results of the original model simulations for storm-wise P loss did not match the observed data, while the revised version of the model could imitate the observed values well. The results of the study approved the efficient application of the revised MUSLE in estimating storm-wise P losses in the study area with a high level of agreement of beyond 93%, an acceptable estimation error of some 35%.

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Section: Introductionmentioning

confidence: 99%

Application of MUSLE for the prediction of phosphorus losses

Noor

Mirnia

Fazli

et al. 2010

Water Science and Technology

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“…The most important consequence of erosion is sediment yield from the watershed, which causes siltation of canals, loss of storage volume in reservoirs, nutrient pollution, flooding, etc. (Vanoni 1982;Morgan et al 1998;Mihara et al 2005;Sadeghi et al 2007a). This affects not only the downstream environment, but also the socioeconomic development of the entire region.…”

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confidence: 99%

Calibration and validation of the Modified Universal Soil Loss Equation for estimating sediment yield on sloping plots: A case study in Khun Satan catchment of Northern Thailand

Pongsai¹,

Vogt²,

Shrestha³

et al. 2010

Can. J. Soil. Sci.

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. 2010. Calibration and validation of the Modified Universal Soil Loss Equation for estimating sediment yield on sloping plots: A case study in Khun Satan catchment of Northern Thailand. Can. J. Soil Sci. 90: 585Á596. In this study, model testing, calibration, and validation of the Modified Universal Soil Loss Equation (MUSLE) model were carried out in Khun Satan catchment, Thailand, for the estimation of sediment yield in plots of different slopes using the S factor from the classic Universal Soil Loss Equation (USLE) and the McCool model, as the calibration parameter. In situ experimental plots were established with five different inclinations (9, 16, 25, 30, and 35%), with the other model parameters (e.g., erodibility, conservation practice, etc) being treated as constants. Sediment yields were recorded from 27 rainfall events between July and October 2003. It was found that both the classic USLE and the McCool models over-estimated sediment yields at all slope angles. However, the classic USLE produced a smaller relative error (RE) than the McCool model at plots with slopes of 9 and 16%, while the McCool model performed better at plots with slopes over 16% inclination. The calibration of the model using the S factor was then made for two slope range intervals, and the slope algorithm was later modified. The calibrated S factors were used in the prototype model for slope ranges of 9 to 16% using classic USLE and for slopes from 16 to 35% using the McCool model. The results revealed that an acceptable accuracy can be obtained through model calibration. The model validation based on paired t-test, on the other hand, showed that there was no difference (a 00.05) between measured and estimated sediment yield using both models. This result indicates that if data on various slope gradients are limited, MUSLE needs to be calibrated before application, especially with respect to topographic factors, in order to obtain an accurate estimate of the sediment yield from individual rainfall events.Key words: Model calibration, MUSLE, Northern Thailand, sediment yield, soil erosion, steep slope Pongsai, S., Schmidt Vogt, D., Shrestha, R. P., Clemente, R. S. et Eiumnoh, A. 2010. É talonnage et validation du mode`le MUSLE pour estimer la production de se´diments sur les parcelles en pente: la zone de captage de Khun Satan, dans le nord de la Thaı¨lande. Can. J. Soil Sci. 90: 585Á596. Les auteurs ont e´tudie´, teste´, e´talonne´et valide´le mode`le MUSLE dans la zone de captage de Khun Satan, en Thaı¨lande, afin d'estimer la production de se´diments sur des parcelles de pente variable, en utilisant comme parame`tre d'e´talonnage le coefficient S du mode`le classique USLE et du mode`le de McCool. Des parcelles expe´rimentales ont e´te´ame´nage´es sur les lieux selon cinq de´clivite´s (9, 16, 25, 30 et 35%), les autres parame`tres (a`savoir, e´rodabilite´, me´thode de conservation, etc.) e´tant conside´re´s comme des constantes. La production de se´diments a e´teé nregistre´e apre`s 27 pre´cipitations, de juillet a`octobre 2003....

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“…USLE sudah lama digunakan dan terus digunakan pada berbagai kasus. Di beberapa negara, integrasi USLE dan GIS telah digunakan untuk perencanaan dan perumusan konservasi tanah untuk pertanian, misalnya di Amerika bagian barat (Renard et al, 1991), di Denmark (Olsen et al, 1998), di Jepang (Mihara et al, 2005), di Turki (Baskan et al, 2009), di India (Bera, 2017), di Afrika Selatan (Smith, 1999) dan di Malaysia (Baban et al, 2001).…”

Section: Latar Belakangunclassified

Prediksi Erosi di Wilayah Jawa Timur

Taslim¹,

Mandala²,

Indarto

2019

J. Ilmu Lingk.

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Erosion is an event of eroding soil that occurs naturally. However, human activities that change land use from natural (forestry, plantation, rural areas) to urban features can alter the erosion processes. Rapid calculation of erosion level for the wide area is necessary for the management and conservation planning. This research aims to analyze the erosion level in East Java area using USLE (Universal Soil Loss Equation) and GIS. The erosivity factor (R) is calculated from rainfall data. Vegetation factor (C) and the conservation factor (P) estimated from land use map. The length and slope factor (LS) are calculated from the ASTER GDEM2, and the erodibility factor (K) is obtained from interpretation of soil map. Furthermore, all factors were analysed to calculate erosion rate. The result shows that the average erosion rate in East Java regions is 10,30 tons/ha/year. The result also show that 78,71% area of East Java is classified as very low erosion rate (0-15 tons/ha/year); 10,75% classified as low erosion rate (15-60 tons/ha/year); 6,39% classified as moderate erosion rate (60-180 tons/ha/year); and 2,83% is severe type (180-480 tons/ha/year). Only 1,31% from the total area is classified as very severe erosion rate (>480 tons/ha/year). The result also shows that USLE can be used to facilitate rapid erosion prediction for wide area.

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Application of USLE for the prediction of nutrient losses in soil erosion processes

Cited by 15 publications

References 3 publications

Application of MUSLE for the prediction of phosphorus losses

Application of MUSLE for the prediction of phosphorus losses

Calibration and validation of the Modified Universal Soil Loss Equation for estimating sediment yield on sloping plots: A case study in Khun Satan catchment of Northern Thailand

Prediksi Erosi di Wilayah Jawa Timur

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