...
首页> 外文期刊>The Science of the Total Environment >Phosphorus in the catchment of high sediment load river: A case of the Yellow River, China
【24h】

Phosphorus in the catchment of high sediment load river: A case of the Yellow River, China

机译:高含沙量河流流域的磷:以中国黄河为例

获取原文
获取原文并翻译 | 示例
           

摘要

Surface sediment samples concurrently collected in the catchment of the Ningxia-Inner Mongolian reach of Yellow River (NIMYR) were analyzed to determine the phosphorus and correlated physiochemical properties of sediments. Samples were obtained from three main areas: the riverbed surface sediment (RSS), the floodplain surface sediment (FSS) and the desert surface sediment (DSS). The sequence of phosphorus-contamination level in this catchment, determined by a cumulative distribution function and multivariate statistical analysis, were FSS > RSS > DSS. Moreover, because of the impacts of anthropogenic activities, the sampling site with the highest and lowest phosphorus concentration (mg kg~(-1)) of this catchment appeared in RSS (749.40) and DSS (200.10) respectively. In addition, this is the first study to present a qualification of the effect of the sediment's physicochemical properties on phosphorus by the multivariate regression tree analysis. Co-precipitation of phosphate with calcite [ⅰ], phosphate absorbed onto ferric hydroxides [ⅱ] and grain-size effect [ⅲ] were the three main mechanisms for phosphorus distribution in the sediment of NIMYR. The contributions of these three mechanisms to RSS and FSS were, respectively, [ⅰ] > [ⅲ] > [ⅱ] and [ⅰ] > [ⅱ] > [ⅲ]. The heaviest phosphorus-contaminated group of RSS was primarily controlled by [ⅰ], whereas the heaviest phosphorus-contaminated group of FSS was controlled by [ⅰ] and [ⅱ], indicating that the FSS had a higher potential risk of releasing phosphorus from the sediment to overlying water.
机译:分析了在黄河宁夏-内蒙古河段(NIMYR)流域同时采集的地表沉积物样品,以确定沉积物中的磷及其相关的理化性质。从三个主要区域获取了样本:河床地表沉积物(RSS),洪泛区地表沉积物(FSS)和沙漠地表沉积物(DSS)。通过累积分布函数和多元统计分析确定的该流域磷污染水平的顺序为FSS> RSS> DSS。此外,由于人为活动的影响,该流域磷浓度最高和最低的采样点(mg kg〜(-1))分别出现在RSS(749.40)和DSS(200.10)中。此外,这是第一项通过多元回归树分析来鉴定沉积物的理化性质对磷的影响的研究。磷酸盐与方解石的共沉淀[ⅰ],磷酸盐吸收到氢氧化铁上的[ⅱ]和粒度效应[ⅲ]是NIMYR沉积物中磷分布的三个主要机理。这三种机制对RSS和FSS的贡献分别为[ⅰ]> [ⅲ]> [ⅱ]和[ⅰ]> [ⅱ]> [ⅲ]。 RSS中最受磷污染的组主要由[ⅰ]控制,而FSS最受磷污染的组由[ⅰ]和[ⅱ]控制,这表明FSS具有较高的从磷中释放磷的潜在风险。沉积到上覆水。

著录项

  • 来源
    《The Science of the Total Environment》 |2016年第1期|660-670|共11页
  • 作者单位

    Key Laboratory of Western China's Environmental Systems(Ministry of Education) & Gansu Key Laboratory for Environmental Pollution Prediction and Control, College of Earth ang Environmental Sciences, Lanzhou University, Lanzhou 730000, China;

    Key Laboratory of Western China's Environmental Systems(Ministry of Education) & Gansu Key Laboratory for Environmental Pollution Prediction and Control, College of Earth ang Environmental Sciences, Lanzhou University, Lanzhou 730000, China;

    Key Laboratory of Western China's Environmental Systems(Ministry of Education) & Gansu Key Laboratory for Environmental Pollution Prediction and Control, College of Earth ang Environmental Sciences, Lanzhou University, Lanzhou 730000, China;

    Key Laboratory of Western China's Environmental Systems(Ministry of Education) & Gansu Key Laboratory for Environmental Pollution Prediction and Control, College of Earth ang Environmental Sciences, Lanzhou University, Lanzhou 730000, China;

    Key Laboratory of Western China's Environmental Systems(Ministry of Education) & Gansu Key Laboratory for Environmental Pollution Prediction and Control, College of Earth ang Environmental Sciences, Lanzhou University, Lanzhou 730000, China;

    Key Laboratory of Western China's Environmental Systems(Ministry of Education) & Gansu Key Laboratory for Environmental Pollution Prediction and Control, College of Earth ang Environmental Sciences, Lanzhou University, Lanzhou 730000, China;

    Key Laboratory of Western China's Environmental Systems(Ministry of Education) & Gansu Key Laboratory for Environmental Pollution Prediction and Control, College of Earth ang Environmental Sciences, Lanzhou University, Lanzhou 730000, China;

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

    Yellow river; Phosphorus; Surface sediment; Multivariate regression tree analysis;

    机译:黄河;磷;地表沉积物;多元回归树分析;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号