首页> 外文期刊>Journal of Hydrology >Variations in the depth distribution of phosphorus in soil profiles and implications for model-based catchment-scale predictions of phosphorus delivery to surface waters
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Variations in the depth distribution of phosphorus in soil profiles and implications for model-based catchment-scale predictions of phosphorus delivery to surface waters

机译:磷在土壤剖面中深度分布的变化及其对基于模型的集水规模预测磷向地表水输送的影响

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The PSYCHIC process-based model for predicting sediment and phosphorus (P) transfer within catchments uses spatial data on soil-P derived from the National Soil Inventory (NSI) data set. These soil-P values are based on bulked 0-15 cm depth and do not account for variations in soil-P with depth. We describe the depth distribution of soil-P (total and Olsen) in grassland and arable soils for the dominant soil types in the two PSYCHIC study catchments: the Avon and the Wye, UK. There were clear variations in soil-P (particularly Olsen-P) concentrations with depth in untilled grassland soils while concentrations of total-P were broadly constant within the plough layer of arable soils. Concentrations of Olsen-P in arable soils, however, exhibited maximum values near the soil surface reflecting surface applications of fertilisers and manures between consecutive ploughing events. When the soil-P concentrations for the surface soil (0-5 cm average) were compared to both the profile-averaged (0-15 cm) and the NSI (0-15 cm) values, those for the surface soil were considerably greater than those for the average 0-15 cm depth. Modelled estimates of P loss using the depth-weighted average soil-P concentrations for the 0-5 cm depth layer were up to 14% greater than those based on the NSI data set due to the preferential accumulation of P at the soil surface. These findings have important implications for the use of soil-P data (and other data) in models to predict P losses from land to water and the interpretation of these predictions for river basin management. (C) 2007 Elsevier B.V. All rights reserved.
机译:基于PSYCHIC过程的模型用于预测集水区中的沉积物和磷(P)转移,使用的土壤P空间数据来自国家土壤清单(NSI)数据集。这些土壤P值是基于散装的0-15厘米深度,而不考虑土壤P随深度的变化。我们描述了两个PSYCHIC研究流域(英国的Avon和Wye)中主要土壤类型的草地和耕地土壤P的深度分布(总计和Olsen)。在耕作的土壤中,耕层土壤中的磷含量(尤其是Olsen-P)浓度随深度变化明显,而耕作土壤的耕层中总磷含量则大致恒定。但是,耕地土壤中的Olsen-P浓度在土壤表面附近表现出最大值,反映了连续耕作之间肥料和肥料的表面施用。将表层土壤的土壤P浓度(平均0-5厘米)与剖面平均值(0-15厘米)和NSI(0-15厘米)值进行比较时,表层土壤的P浓度要大得多比平均0-15厘米深度的要高。由于土壤表面磷的优先积累,使用0-5 cm深度层的深度加权平均土壤P浓度对磷损失的建模估算值比基于NSI数据集的估算值高出14%。这些发现对于在模型中使用土壤磷数据(和其他数据)来预测从土地到水的磷损失以及对流域管理的这些预测的解释具有重要意义。 (C)2007 Elsevier B.V.保留所有权利。

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