大亚湾水质遥感监测指标分析  

Parameters of monitoring Daya Bay water quality by remote sensing

作　　者：瞿敏 邢前国[2] 潘伟斌[3] 

机构地区：[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

出　　处：《生态科学》2006年第3期262-265,共4页Ecological Science

基　　金：广东省科技创新百项工程项目(2KB06701S)

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。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.

关 键 词：水质监测 遥感 水温 悬浮物 叶绿素 污染表征物 

分 类 号：X87[环境科学与工程—环境工程]