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Evaluating spatial interaction of soil property with non-point source pollution at watershed scale: The phosphorus indicator in Northeast China

机译:在流域尺度上评价土壤性质与面源污染的空间相互作用:东北地区的磷指标

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摘要

To better understand the spatial dynamics of non-point source (NPS) phosphorus loading with soil property at watershed scale, integrated modeling and soil chemistry is crucial to ensure that the indicator is functioning properly and expressing the spatial interaction at two depths. Developments in distributed modeling have greatly enriched the availability of geospatial data analysis and assess the NPS pollution loading response to soil property over larger area. The 1.5 km-grid soil sampling at two depths was analyzed with eight parameters, which provided detailed spatial and vertical soil data under four main types of landuses. The impacts of landuse conversion and agricultural practice on soil property were firstly identified. Except for the slightly bigger total of potassium (TK) and cadmium (Cr), the other six parameters had larger content in 20-40 cm surface than the top 20 cm surface. The Soil and Water Assessment Tool was employed to simulate the loading of NPS phosphorus. Overlaying with the landuse distribution, it was found that the NPS phosphorus mainly comes from the subbasins dominated with upland and paddy rice. The linear correlations of eight soil parameters at two depths with NPS phosphorus loading in the subbasins of upland and paddy rice were compared, respectively. The correlations of available phosphorus (AP), total phosphorus (TP), total nitrogen (TN) and TK varied in two depths, and also can assess the loading. The soil with lower soil organic carbon (SOC) presented a significant higher risk for NPS phosphorus loading, especially in agricultural area. The Principal Component Analysis showed that the TP and zinc (Zn) in top soil and copper (Cu) and Cr in subsurface can work as indicators. The analysis suggested that the application of soil property indicators is useful for assessing NPS phosphorus loss, which is promising for water safety in agricultural area.
机译:为了更好地了解在流域尺度上具有土壤性质的非点源(NPS)磷负荷的空间动力学,集成模型和土壤化学对于确保指标正常运行并表达两个深度的空间相互作用至关重要。分布式建模的发展极大地丰富了地理空间数据分析的可用性,并评估了NPS污染负荷对大面积土壤特性的响应。利用八个参数对两个深度的1.5 km-grid土壤采样进行了分析,提供了四种主要土地利用类型下详细的空间和垂直土壤数据。首先确定了土地利用转化和农业实践对土壤性质的影响。除了钾(TK)和镉(Cr)的总和稍大外,其他六个参数在20-40 cm的表面中的含量都比顶部20 cm的表面大。使用土壤和水评估工具来模拟NPS磷的含量。通过覆盖土地利用分布,发现NPS磷主要来自以旱地和水稻为主的子盆地。比较了两个深度的八个土壤参数与旱稻和水稻子盆地NPS磷负荷的线性相关性。有效磷(AP),总磷(TP),总氮(TN)和TK的相关性在两个深度上变化,并且还可以评估负荷。土壤有机碳(SOC)含量较低的土壤,尤其是在农业地区,存在较高的NPS磷负荷风险。主成分分析表明,表层土壤中的TP和锌(Zn)以及地下的铜(Cu)和Cr可以作为指示剂。分析表明,土壤属性指标的应用对评估NPS磷的流失是有用的,这对农业地区的水安全是有希望的。

著录项

  • 来源
    《Science of the total environment》 |2012年第15期|p.412-421|共10页
  • 作者单位

    School of Environment, State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing, 100875, China;

    School of Environment, State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing, 100875, China;

    School of Environment, State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing, 100875, China;

    School of Environment, State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing, 100875, China;

    School of Environment, State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing, 100875, China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    phosphorus loss; non-point source pollution; agri-environmental management; environmental indicator;

    机译:磷损失面源污染;农业环境管理;环境指标;
  • 入库时间 2022-08-17 13:54:46

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