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Application of MUSLE for the prediction of phosphorus losses.

机译:MUSCLE在预测磷损失中的应用。

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摘要

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%.
机译:林地的水土流失不仅影响土地生产力,还影响下游的水体。通用土壤流失方程(USLE)已广泛用于预测旱地土壤流失。但是,关于基于USLE及其版本的营养素(P)损失预测的报道很少。本研究旨在评估确定性模型修正的通用土壤流失方程(MUSLE)在估算伊朗北部Kojor森林流域的磷损失中的适用性。使用在2008年的7次暴风雨事件中收集的准确的连续P损失数据对模型进行了测试和校准。原始模型对暴风雨P损失的模拟结果与观察到的数据不匹配,而模型的修订版可以模仿观察到的数据价值观很好。研究结果批准了修订后的MUSLE在估计研究区域的暴风雨P损失方面的有效应用,其一致程度超过93%,可接受的估计误差约为35%。

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