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深圳市海域浮标监测网的站位设计和数据应用
引用本文:庞仁松,周凯,冷科明,郭翔宇,吴俊儒,钟宛蓉.深圳市海域浮标监测网的站位设计和数据应用[J].海洋开发与管理,2018,35(2):49-53.
作者姓名:庞仁松  周凯  冷科明  郭翔宇  吴俊儒  钟宛蓉
作者单位:深圳市海洋监测预报中心,深圳市海洋监测预报中心,深圳市海洋监测预报中心,深圳市海洋监测预报中心,深圳市海洋监测预报中心,深圳市海洋监测预报中心
基金项目:深圳市海域;浮标;在线监测;站位设计;数据应用
摘    要:深圳市基于不同海洋功能区环境监测的需要,充分考虑各海域环境要素,构建了由13个浮标组成的较为合理的海洋浮标监测网。文章重点介绍分布在大亚湾、大鹏湾、深圳湾和珠江口海域的13个浮标站位的具体设计情况,主要包括所在(邻近)海洋功能区、基础(选配)观测参数、数据应用方向以及监测参数和监测频率等。此外,提出海洋浮标监测系统可为海洋功能区环境评价和重要赛事提供环境数据支撑、实现重点功能区的长期在线监测以及对海洋环境灾害信息进行全过程记录,数据应用前景广阔,亟须在今后的工作中加强应用研究。

关 键 词:深圳市海域  浮标  在线监测  站位设计  数据应用

The Station Design and Data Application of Buoy Monitoring Network in Shenzhen Sea Area
PANG Rensong,ZHOU Kai,LENG Keming,GUO Xiangyu,WU Junru and ZHONG Wanrong.The Station Design and Data Application of Buoy Monitoring Network in Shenzhen Sea Area[J].Ocean Development and Management,2018,35(2):49-53.
Authors:PANG Rensong  ZHOU Kai  LENG Keming  GUO Xiangyu  WU Junru and ZHONG Wanrong
Affiliation:Marine Monitoring and Forecasting Center of Shenzhen City,Marine Monitoring and Forecasting Center of Shenzhen City,Marine Monitoring and Forecasting Center of Shenzhen City,Marine Monitoring and Forecasting Center of Shenzhen City,Marine Monitoring and Forecasting Center of Shenzhen City and Marine Monitoring and Forecasting Center of Shenzhen City
Abstract:Based on the monitoring demands in different marine functional areas and the environmental elements in each sea area,a reasonable marine monitoring network of 13 buoys has been constructed in Shenzhen sea area.The paper focused on the specific design situation of 13 buoys stations located in Daya Bay,Mirs Bay,Shenzhen Bay and Pearl River Estuary,which included marine functional area located,observation parameters,data application,monitoring parameters,monitoring frequency,etc.Besides,marine monitoring network could provide environmental evaluation of marine functional areas and major events with environmental data support,and it could carry out long term online monitoring of key marine functional areas and record information of the whole process of marine environmental disasters.The prospect of data application is promising,and further research is urgently needed.
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