Spatio-temporal patterns and source apportionment of coastal water pollution in eastern Hong Kong.
Spatio-temporal patterns and source apportionment of coastal water pollution in eastern Hong Kong.
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DOI：
10.1016/j.watres.2007.04.022
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发表时间：
2007-08
期刊：
影响因子：
12.8
通讯作者：
F. Zhou;Gordon H. Huang;Huaicheng Guo;Wei Zhang-;Zejia Hao
中科院分区：
文献类型：
--
作者：
F. Zhou;Gordon H. Huang;Huaicheng Guo;Wei Zhang-;Zejia Hao
综合应用不同的多元方法和地理信息系统(GIS)，对香港东部沿岸水污染的时空格局和污染源解析进行了评价。从2000年到2004年，每月对27个地点的14个变量进行了调查。经过数据预处理后，聚类分析将12个月分为6-9月和剩余月份两组，并将整个区域划分为两个部分，代表不同的污染水平。判别分析表明，NO3--N、DO、温度和TN、SD、PO43--P和VSS是影响时空变化的显著变量，正确率分别为84%和90%。通过旋转主成分分析，每个部位识别出5个潜在污染源，分别解释了总方差的71%和68%。基于受体的来源解析表明，大多数变量主要受土壤风化和有机污染、养分污染(或农业径流)和矿物污染的影响。此外，地理信息系统进一步促进和支持了多变量分析结果。
The comprehensive application of different multivariate methods and geographic information systems (GIS) was used to evaluate the spatio-temporal patterns and source apportionment of coastal water pollution in eastern Hong Kong. Fourteen variables were surveyed at 27 sites monthly from 2000 to 2004. After data pretreatment, cluster analysis grouped the 12 months into two groups, June–September and the remaining months, and divided the entire area into two parts, representing different pollution levels. Discriminant analysis determined that NO3-–N, DO, and temperature and TN, SD, PO43-–P, and VSS were significant variables affecting temporal and spatial variations with 84% and 90% correct assignments, respectively. Five potential pollution sources were identified for each part by rotated principal component analysis, explaining 71% and 68% of the total variances, respectively. Receptor-based source apportionment revealed that most of the variables were primarily influenced by soil weathering and organic pollution, nutrient pollution (or agricultural runoff), and mineral pollution. Furthermore, GIS further facilitated and supported multivariate analysis results.