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流沙湾海域水质的综合评价与分析
引用本文:谢群,张瑜斌,孙省利.流沙湾海域水质的综合评价与分析[J].中国环境监测,2011,27(1):77-83.
作者姓名:谢群  张瑜斌  孙省利
作者单位:广东海洋大学海洋资源与环境监测中心,广东,湛江,524088
摘    要:以流沙湾2008年4个航次水质监测数据资料为依据,选择具有代表性的9种监测指标,分别采用模糊综合评价法和模糊贴近度法进行海水水质评价比较与分析,得出流沙湾海域水质评价等级。研究结果表明,流沙湾海域冬夏季节的水环境质量差于春秋两季,其中夏季水质最差。将整年水质监测指标平均值进行综合评价,结果表明,流沙湾各站位均符合二类水质标准。以模糊贴近度法作为主要评价方法、以模糊综合评价法作为辅助评价方法进行综合评价,更有利于流沙湾海域水质的整体分析。研究结果可作为流沙湾海域水产养殖规划和整治的参考依据,为将来合理开发利用流沙湾海域提供科学依据。

关 键 词:流沙湾    模糊综合评价    模糊贴近度    水质评价
收稿时间:2010/1/20 0:00:00
修稿时间:2010/5/21 0:00:00

Seawater Quality Comprehensive Evaluation and Analysis in Liusha Bay
XIE Qun.Seawater Quality Comprehensive Evaluation and Analysis in Liusha Bay[J].Environmental Monitoring in China,2011,27(1):77-83.
Authors:XIE Qun
Institution:Monitoring Center for Marine Resources and Environments,Guangdong Ocean University, Zhanjiang 524088, China;Monitoring Center for Marine Resources and Environments,Guangdong Ocean University, Zhanjiang 524088, China;Monitoring Center for Marine Resources and Environments,Guangdong Ocean University, Zhanjiang 524088, China
Abstract:Based on the monitoring data of seawater quality about four voyages in Liusha Bay in 2008,we selected nine representative monitoring indicators. The result of seawater quality evaluation was compared and analyzed by the fuzzy comprehensive evaluation method and the fuzzy nearness degree method. The seawater quality appraisal was graded. Research findings show that the seawater quality in summer and winter was worse than spring and autumn in Liusha bay,the worst seawater quality was in summer. The evaluation result of the average value of seawater quality monitoring data shows that the seawater quality of every stations reached the second seawater quality standard. The result was more credible when the fuzzy nearness degree method was used as the major evaluation method and the fuzzy comprehensive evaluation method used as a complementary method. The research findings can be used as a basis for aquaculture planning and remediation and provide useful data for the reasonable exploration of seawater resources in Liusha bay.
Keywords:Liusha bay  Fuzzy comprehensive evaluation  Fuzzy nearness degree  Water quality evaluation
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