Identification of anthropogenic effects and seasonality on water quality in Daya Bay, South China Sea

Identification of anthropogenic effects and seasonality on water quality in Daya Bay, South China Sea
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DOI:
10.1016/j.jenvman.2009.04.017
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发表时间:
2009-07-01
影响因子:
8.7
通讯作者:
Han, Shu-Hua
Han, Shu-Hua
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Wu, Mei-Lin;Wang, You-Shao;Han, Shu-Hua

文献摘要

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摘要收集了2003年南海大亚湾12个监测站的13个水质参数,研究了气候和人为活动对水质的影响。根据结果建立了数据矩阵,并采用模糊c均值聚类(FCM)和聚类分析(CA)对结果进行了分析。该分析确定了人为影响和水质的季节特征。FCM和CA显示了干湿季节特征,降水和东南亚季风(10月至次年4月的东北季风和5月至9月的西南季风)对大亚湾水质也有重要影响。在空间格局上,FCM和CA可划分为2个类群。类群1由位于大亚湾西部和北部海岸的S3、S8、S10和S11站点组成。第一类主要与人为活动有关,如养鱼。第二组由大亚湾中部、东部和南部的其余站点组成。第二组主要与南海的海水输入有关。因此,模糊c均值聚类和聚类分析可以成为成功表征区域尺度水质的重要工具。2009爱思唯尔有限公司版权所有。
Thirteen water quality parameters from 12 monitoring stations were collected to study the effects caused by climate and anthropogenic activities on water quality in 2003 in Daya Bay, South China Sea. The data matrix has been built according to the results, which were analyzed by fuzzy c-mean cluster (FCM) and cluster analysis (CA). This analysis has identified anthropogenic effects and seasonal characters of water quality. The dry and wet seasonality have been demonstrated with FCM and CA. The precipitation and the Southeast Asian monsoons, northeasterly from October to the next April and southwesterly from May to September have also an important influence on water quality in Daya Bay. In the spatial pattern, two groups have been classified with FCM and CA. Cluster I consisted of the sites S3, S8, S10 and S11 in the west and north coastal parts of Daya Bay. Cluster I is mainly related to anthropogenic activities such as fish-farming. Cluster II consisted of the rest of the stations in the center, east and south parts of Daya Bay. Cluster II is mainly related to seawater input from South China Sea. Thus, fuzzy c-mean cluster and cluster analysis can be an important tool for the successful characterization of regional-scale water quality. (C) 2009 Elsevier Ltd. All rights reserved.