...
首页> 外文期刊>Environmental Geology >Spatial-temporal characteristics of surface water quality in the Taihu Basin, China
【24h】

Spatial-temporal characteristics of surface water quality in the Taihu Basin, China

机译:太湖流域地表水水质时空特征

获取原文
获取原文并翻译 | 示例

摘要

Taihu Basin is one of the most developed and industrialized regions in China. In the last two decades, rapid development of economy as well as an increase in population has resulted in an increase of pollutants produced and discharged into rivers and lakes. Much more attention has been paid on the serious water pollution problems due to high frequency of algal blooming. The dataset, obtained during the period 2001-2002 from the Water Resources Protection Bureau of the Taihu Basin, consisted of eight physicochemical variables surveyed monthly at 22 sampling sites in the Taihu Basin, China. Principal component analysis (PCA) and cluster analysis (CA) were used to identify the characteristics of the surface water quality in the studied area. The temporal and spatial variations of water quality were also evaluated by using the fuzzy synthetic evaluation (FSE) method. PCA extracted the first two principal components (PCs), explaining 86.18% of the total variance of the raw data. Especially, PCI (73.72%) had strong positive correlation with DO, and was negatively associated with CODMn, COD, BOD, NH4+-N, TP and TN. PC2 (12.46%) was characterized by pH. CA showed that most sites were highly polluted by industrial and domestic wastewater which contributed significantly to PCI. The sites located in the west of Lake Taihu were influenced by farmland runoff which may contribute to nitrogen pollution of Lake Taihu, whereas the monitoring sites in the eastern of Lake Taihu demonstrated that urban residential subsistence and domestic wastewater are the major contaminants. FSE indicates that there is no obvious variance between 2001 and 2002 among most sites. Only several sites free from point-source pollution appear to exhibit good water quality through the studied period.
机译:太湖流域是中国最发达,工业化程度最高的地区之一。在过去的二十年中,经济的快速发展以及人口的增加导致产生和排放到河流和湖泊中的污染物的增加。由于藻华大量发生,严重的水污染问题引起了人们的更多关注。该数据集是在2001年至2002年期间从太湖流域水资源保护局获得的,该数据集由每月在中国太湖流域的22个采样点进行的8个理化变量组成。使用主成分分析(PCA)和聚类分析(CA)来确定研究区域的地表水水质特征。还使用模糊综合评价(FSE)方法评价了水质的时空变化。 PCA提取了前两个主成分(PC),解释了原始数据总方差的86.18%。尤其是PCI(73.72%)与DO有很强的正相关,与CODMn,COD,BOD,NH4 + -N,TP和TN呈负相关。用pH表征PC2(12.46%)。 CA显示,大多数场所都受到工业和生活废水的高度污染,这对PCI产生了重大影响。太湖西部的场地受到农田径流的影响,可能导致太湖的氮污染,而太湖东部的监测点表明,城市居民的生活和生活污水是主要污染物。 FSE指出,在2001年和2002年之间,大多数站点之间没有明显的差异。在研究期间,只有几个不受点源污染的地点似乎表现出良好的水质。

著录项

  • 来源
    《Environmental Geology 》 |2011年第3期| p.809-819| 共11页
  • 作者单位

    Institute of Soil and Water Conservation, Chinese Academy and Sciences and Ministry of Water Resources, P.O. Box 26, Yangling 712100, Shannxi, People's Republic of China ,Department of Hydrology and Water Resources Management, Institute of Natural Resources Conservation, Kiel University, Olshausenstr. 75, 24118 Kiel, Germany;

    Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, People's Republic of China;

    College of Water Resources and Architectural Engineering, Northwest A & F University, Yangling 712100, People's Republic of China;

    State Key Laboratory of Hydro-Science and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing, People's Republic of China;

    State Key Laboratory of Hydro-Science and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing, People's Republic of China;

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

    surface water quality; principal component analysis; cluster analysis; fuzzy synthetic evaluation; taihu basin;

    机译:地表水水质;主成分分析;聚类分析;模糊综合评价;太湖盆地;

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