首页> 外文会议>2011 International Conference on Remote Sensing, Environment and Transportation Engineering >Assessment of spatial-temporal variations in surface water quality of Luzhi river system in Plain River-Net Areas, Suzhou, China
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Assessment of spatial-temporal variations in surface water quality of Luzhi river system in Plain River-Net Areas, Suzhou, China

机译:苏州平原河网地区Lu支河流域地表水水质时空变化评价

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Understanding the spatial-temporal distributions and variations of water quality index are important for pollution sources identification and are essential for efficient water environment management. Reasonable designed monitoring networks of rivers and the periodical monitoring campaign can provide the water quality data to describe the spatial-temporal vision of the river water quality state. Multiple statistical methods are reliable and effective in interpreting the monitoring water quality data set. In this study, multiple statistical methods including cluster analysis (CA) and factor analysis (FA) were used to evaluate the temporal-spatial variations of water quality of Luzhi river system in Plain River-Net Areas, Suzhou, China. The results showed that: (1) water quality of Luzhi river system exists obvious temporal-spatial distribution characteristic, The sampling periods were categorized into two groups corresponding to seasonal changes in water quality, Sampling sites were classified into three groups which represented different water quality levels and pollution degrees. (2) Three factors were extracted by using FA method and they reflected nitrogen and phosphorus levels of the water, organic and physical conditions respectively. (3) The varifactors obtained from FA indicate that the parameters responsible for water quality variations of different monitoring site are mainly related to corresponding geographical location pollution source situation and the hydrodynamic characteristics. The study provided critical information for water quality management in the Luzhi river-net areas.
机译:了解水质指数的时空分布和变化对于识别污染源很重要,对于有效的水环境管理也至关重要。合理设计的河流监测网络和定期监测活动可以提供水质数据,以描述河流水质状态的时空视野。多种统计方法在解释监测水质数据集方面是可靠且有效的。在这项研究中,采用聚类分析(CA)和因子分析(FA)在内的多种统计方法来评估苏州平原河网地区Lu支河流域水质的时空变化。结果表明:(1)Lu支河流域水质存在明显的时空分布特征,根据水质的季节变化将采样期分为两类,采样点分为代表不同水质的三类。水平和污染程度。 (2)采用FA法提取了3个因子,分别反映了水体中氮和磷的含量,有机物和物理条件。 (3)FA的变量表明,不同监测点水质变化的参数主要与相应的地理位置污染源情况和水动力特性有关。该研究为provided支河网区的水质管理提供了重要信息。

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