Department of Watershed Management Engineering, College of Natural Resources and Marine Sciences, Tarbiat Modares University, Noor 46414-356, Iran.
Water Sci Technol. 2010;62(4):809-15. doi: 10.2166/wst.2010.092.
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%.
林地土壤侵蚀不仅影响土地生产力,还会影响下游水体。通用土壤流失方程(USLE)已广泛应用于预测旱地土壤流失。然而,基于 USLE 及其版本预测养分(P)流失的报道很少。本研究旨在评估确定性模型改良通用土壤流失方程(MUSLE)在估算伊朗北部科乔尔森林流域磷流失中的适用性。该模型使用 2008 年 7 次风暴事件中收集的精确连续 P 流失数据进行了测试和校准。原始模型模拟的逐次风暴 P 流失结果与观测数据不匹配,而模型的修订版本则能很好地模拟观测值。研究结果表明,修订后的 MUSLE 可以有效地应用于估算研究区域内逐次风暴的 P 流失,其一致性超过 93%,估计误差在 35%左右,可接受。