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Process Based Modelling of Phosphorus Losses from Arable Land

机译:基于过程的耕地磷素流失建模

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摘要

Improved understanding of temporal and spatial Phosphorus (P) discharge variations is needed for improved modelling and prioritisation of abatement strategies that take into account local conditions . This study is aimed at developing modelling of agricultural Phosphorus losses with improved spatial and temporal resolution, and to compare the accuracy of a detailed process-based model with a rainfall-runoff coefficient-based model. The process-based SWAT model (Soil and Water Assessment Tool) was implemented for five river basins in central Sweden, and results compared with the rainfall-runoff coefficient-based model WATSHMAN (Watershed Management System) for one of these river basins. Parameter settings and attribute values were adapted to Scandinavian soil conditions, crops and management practices. Model performance regarding flow dynamics was overall satisfactory. Comparable results were achieved at several scales. The modelled P load was of high accuracy for the days when monitoring data were available for validation, generally once a month. Modelled monthly P load did not fit as well with averaged monthly monitoring load values, mainly since monthly monitoring often partly or entirely misses the peak flows. The comparison of SWAT and WATSHMAN gave slightly better results for the process-based model (SWAT). Better spatial resolution for input data such as Soil-P content and agricultural management practices will be required to reach modelling results that enable identification of measures adapted to local conditions.
机译:需要改进对时间和空间磷(P)排放变化的了解,以改善考虑当地条件的减排策略的建模和优先级划分。这项研究旨在开发具有改进的时空分辨率的农业磷素损失模型,并比较基于过程的详细模型与基于降雨径流系数的模型的准确性。在瑞典中部的五个流域实施了基于过程的SWAT模型(土壤和水评估工具),并将结果与​​其中一个流域的基于降雨-径流系数的模型WATSHMAN(流域管理系统)进行了比较。参数设置和属性值适用于斯堪的纳维亚的土壤条件,作物和管理实践。关于流动动力学的模型性能总体令人满意。在几个规模上都取得了可比的结果。在监测数据可用于验证的日子里,建模的P负载具有很高的准确性,通常每月一次。建模的每月P负荷与平均每月监测负荷值不太吻合,主要是因为每月监测常常部分或完全错过峰值流量。对于基于过程的模型(SWAT),SWAT和WATSHMAN的比较给出了稍微更好的结果。为了获得能够确定适合当地条件的措施的建模结果,将需要更好的空间分辨率来获取输入数据,例如土壤磷含量和农业管理规范。

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