...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>The Science of the Total Environment >Eutrophication and heavy metal pollution patterns in the water suppling lakes of China's south-to-north water diversion project
【24h】

Eutrophication and heavy metal pollution patterns in the water suppling lakes of China's south-to-north water diversion project

机译：中国南水北调工程富水湖泊富营养化和重金属污染格局

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This study used non-supervised machine learning self-organizing maps (SOM) in conjunction with traditional multivariate statistical techniques (e.g., hierarchical cluster analysis, principle component analysis, Pearson's correlation analysis) to investigate spatio-temporal patterns of eutrophication and heavy metal pollution in the water supplying lakes (i.e., the Gao-Bao-Shaobo Lake, GBSL) of the eastern route of China's South-to-North Water Diversion Project (SNWDP-ER). A total of 28 water quality parameters were seasonally monitored at 33 sampling sites in the GBSL during 2016 to 2017 (i.e., 132 water samples were collected in four seasons). The results indicated that: 1) spatially, the western and south-western GBSL was relatively more eutrophic and polluted with heavy metals: and 2) temporally, the lakes suffered from high risks of heavy metal contamination in spring, but eutrophication in summer while water quality in winter was the best among the four seasons. Two main potential sources of pollution and transport routes were identified and discussed based on the pollution patterns. These findings contributed considerably to providing in-depth understanding of water pollution patterns, as well as potential pollution sources in the water-supplying region. Such understanding is crucial for developing pollution control and management strategies for this mega inter-basin water transfer project.
机译：这项研究使用非监督机器学习自组织图（SOM）结合传统的多元统计技术（例如，层次聚类分析，主成分分析，皮尔森相关分析），调查了富营养化和重金属污染的时空格局。中国南水北调工程（SNWDP-ER）东部路线的供水湖泊（即高宝-邵伯湖，GBSL）。 2016年至2017年期间，GBSL共有33个采样点对28个水质参数进行了季节性监测（即在四个季节中采集了132个水样）。结果表明：1）在空间上，西部和西南部的GBSL相对富营养化，并被重金属污染;和2）在时间上，湖泊在春季遭受重金属污染的高风险，而在夏季则遭受富营养化，而水冬季质量是四个季节中最好的。根据污染模式，确定并讨论了两个主要的潜在污染源和运输路线。这些发现大大有助于深入了解水污染模式以及供水区域的潜在污染源。这种理解对于为这个大型跨流域调水项目制定污染控制和管理策略至关重要。

著录项

  • 来源
    《The Science of the Total Environment》 |2020年第1期|134543.1-134543.10|共10页
  • 作者

  • 作者单位

    State Key Laboratory of Freshwater Ecology and Biotechnology Institute of Hydrobiology Chinese Academy of Sciences Wuhan Hubei 430072 China;

    State Key Laboratory of Freshwater Ecology and Biotechnology Institute of Hydrobiology Chinese Academy of Sciences Wuhan Hubei 430072 China University of Chinese Academy of Sciences Beijing 100049 China;

    Cao-Bao-Shaobo Lake Fisheries Management Committee of Jiangsu Province Yangzhou Jiangsu 225009 China;

    Department of Civil and Environmental Engineering West Virginia University Morgantown WV 26506-6103 USA;

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

    Self-organizing Map; Heavy metals; Eutrophication; Multivariate analysis; South-to-North Water Diversion Project; Water quality safety;

    机译：自组织图;重金属;富营养化多变量分析;南水北调工程;水质安全;

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