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大亚湾水质遥感监测指标分析
瞿敏1, 邢前国2*, 潘伟斌3
1. 广州市中绿环保有限公司, 广州, 510030; 2. 中国科学院南海海洋研究所LED, 广州, 510301; 3. 华南理工大学环境科学与工程学院, 广州, 510640
Parameters of monitoring Daya Bay water quality by remote sensing
QU Min1, XING Qian-guo2, PAN Wei-bin3
1. Sino Environment Engineering Co., Ltd. Guangzhou, 510300; 2. LED, South China Sea Institute of Oceanography, Chinese Academy of Science, Guangzhou, 510301; 3. School of Envrionmental Science and Engineering, South China University of Technology, Guangzhou, 510640, China
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摘要 

我国沿海经济高速发展,对近海岸水质环境影响极大。传统的近海岸水质监测手段不仅成本大,而且空间信息有限,难以对相关海域进行全面、准确的监测与评价;利用遥感的手段进行近海岸水质监测可克服这些局限。利用遥感进行水质评价,需要建立相应的指标体系。论文以大亚湾为例,分析了大亚湾的水质环境现状,讨论了具有光学敏感性或热敏感性的水质因子特性,指出水温、悬浮物及叶绿素是大亚湾水质遥感监测与评价的首选指标。讨论了悬浮物、叶绿素的污染表征物特征,以及在近海岸、湖泊及河流水质研究中的重要指示意义,同时建议将叶绿素作为常规监测指标纳入我国海水水质评价体系。

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瞿敏
邢前国
潘伟斌
关键词 水质监测遥感水温悬浮物叶绿素污染表征物    
Abstract

The coastal areas in China are experiencing rapid development, and the environment of coastal waters encountered huge impact.The traditional approaches of monitoring coastal water quality are not cost effiectively, and can not provide overall spatial information for certain coastal waters.Remote sensing is a novel approach to break these constraints.However, how to determine the monitoring parameters is a key to assess water quality by remote sensing.The situation of Daya Bay water environment was reviewed in this study, the optical or thermal actively characteristics of water quality parameters were also discussed, and it suggested that water temperature, suspended sediments and chlorophyll be the main parameters for assessing the water quality with the approach of remote sensing.Suspended sediments and chlorophyll can serve as surrogate contaminants which play an important role in remote sensing of water quality in inland lakes, rivers and coastal areas, chlorophyll was also proposed to be included in national water quality assessment system as a regular monitoring parameter.

Key wordsWater quality monitoring    Remote sensing    Water Temperature    Suspending sediments    Chlorophyll    Surrogate contaminants
收稿日期: 2006-06-25     
:  X87  
  P76  
基金资助:广东省科技创新百项工程项目(2KB06701S)
引用本文:   
瞿敏1, 邢前国2*, 潘伟斌3. 大亚湾水质遥感监测指标分析[J]. , 2006, 25(3): 262-265.
QU Min1, XING Qian-guo2, PAN Wei-bin3. Parameters of monitoring Daya Bay water quality by remote sensing. , 2006, 25(3): 262-265.
链接本文:  
 http://www.ecolsci.com/CN/Y2006/V25/I3/262
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