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首页> 外文期刊>The Science of the Total Environment >Anthropogenic influences on the water quality of the Baiyangdian Lake in North China over the last decade
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Anthropogenic influences on the water quality of the Baiyangdian Lake in North China over the last decade

机译：近十年来人为因素对华北白洋淀水质的影响

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摘要

Baiyangdian Lake, the largest shallow lake in the North China Plain, is essential for maintaining ecosystem functioning in this highly populated region. To explore the influences of human activities on the lake's water quality, an improved Water Quality Index (WQI) method and multivariate statistical techniques were adopted to assess the temporal and spatial variations of the lake's water quality and explore the dominant factors of these variations. Datasets for 11 water quality parameters from six monitoring stations were used to evaluate the period spanning from 2006 to 2016. Assessment of the annual WQI showed that the water quality of the lake has generally improved over the past decade. Cluster analysis divided 12 months into the dry and wet periods and the six monitoring stations into those located in the western and eastern parts of the lake. Discriminant analysis demonstrated that with only two parameters (water temperature and fluoride) and six parameters (dissolved oxygen, ammonia nitrogen, total nitrogen, total phosphorus, anionic surfactant, and fecal coliform), 96.0% and 93.8% of the water quality data can be classified into the correct spatial and temporal clusters, respectively. For the principal component analysis and factor analysis, the varifactors detected for the two temporal clusters were similar, and varifactors related to pollution explained more variance in the water quality variation than the ones representing natural factors. For the two spatial clusters, the varifactors were different, indicating they are influenced by different types of anthropogenic activities. Correlation analysis between lake water level and water quality indicated that environmental water allocation to the lake generally improve water quality. These findings provide a more thorough understanding of driving mechanism of water quality and may be helpful for making environmental management decisions in Baiyangdian Lake and other large, shallow lakes in highly populated dryland regions. (C) 2019 Elsevier B.V. All rights reserved.
机译：白洋淀是华北平原最大的浅水湖泊，对于维持这个人口稠密地区的生态系统功能至关重要。为了探讨人类活动对湖泊水质的影响，采用了改进的水质指数（WQI）方法和多元统计技术来评估湖泊水质的时空变化，并探讨这些变化的主导因素。使用六个监测站的11个水质参数的数据集来评估2006年至2016年的时间段。对年度WQI的评估表明，过去十年中该湖的水质总体上有所改善。聚类分析将12个月分为干，湿期，将六个监测站分为位于湖西和东部的监测站。判别分析表明，仅使用两个参数（水温和氟化物）和六个参数（溶解氧，氨氮，总氮，总磷，阴离子表面活性剂和粪大肠菌群），可分别获得96.0％和93.8％的水质数据分别分为正确的空间和时间簇。对于主成分分析和因子分析，两个时间簇的变异因子相似，与污染相关的变异因子比代表自然因子的变异更多地解释了水质变异。对于这两个空间群，变异因子是不同的，表明它们受到不同类型的人为活动的影响。湖泊水位与水质之间的相关分析表明，向湖泊分配环境水总体上可以改善水质。这些发现提供了对水质驱动机制的更透彻的理解，并可能有助于白洋淀湖和人口稠密的干旱地区其他大型浅水湖泊的环境管理决策。 （C）2019 Elsevier B.V.保留所有权利。

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