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深圳东部近岸海域溶解氧的时空分布特征
引用本文:庄晓珊,桓清柳,彭莹,王节亮,庞仁松,周凯. 深圳东部近岸海域溶解氧的时空分布特征[J]. 热带海洋学报, 2018, 37(5): 98-105. DOI: 10.11978/2018021
作者姓名:庄晓珊  桓清柳  彭莹  王节亮  庞仁松  周凯
作者单位:1. 深圳市朗诚科技股份有限公司, 广东 深圳 5180002. 特拉华大学, 纽瓦克 特拉华 美国 197163. 深圳绿微康生物工程有限公司, 广东 深圳 5180004. 深圳市海洋环境与资源监测中心, 广东 深圳 518000
基金项目:深圳市海洋局资助项目(301200800174-01)
摘    要:根据2012—2016年的9个浮标自动监测数据, 分析了深圳东部近岸海域溶解氧浓度的时空分布特征及其与主要水质参数的相关关系。结果表明, 大亚湾海域溶解氧浓度含量在2.15~14.86mg·L-1之间, 平均值为7.31mg·L-1, 大鹏湾海域整体表层溶解氧浓度范围为1.43~15.61mg·L-1, 平均值为7.13mg·L-1; 在时间分布上, 深圳东部海域溶解氧含量呈现白天高于夜间, 春、夏、秋季低, 冬季高的趋势; 在空间分布上, 深圳东部海域溶解氧含量呈现出夏秋季大亚湾高于大鹏湾, 春冬季大亚湾和大鹏湾相差不大的特点。Pearson相关性分析表明, 该海区溶解氧含量与温度、盐度、浊度及叶绿素a存在显著的线性相关性, 且相关关系呈现出随季节变化的差异性。

关 键 词:深圳  近岸海域  在线监测  溶解氧  分布特征  
收稿时间:2018-02-27
修稿时间:2018-06-04

Spatial and temporal distribution of dissolved oxygen in the coastal waters of eastern Shenzhen
Xiaoshan ZHUANG,Qingliu HUAN,Ying PENG,Jieliang WANG,Rensong PANG,Kai ZHOU. Spatial and temporal distribution of dissolved oxygen in the coastal waters of eastern Shenzhen[J]. Journal of Tropical Oceanography, 2018, 37(5): 98-105. DOI: 10.11978/2018021
Authors:Xiaoshan ZHUANG  Qingliu HUAN  Ying PENG  Jieliang WANG  Rensong PANG  Kai ZHOU
Affiliation:1. Shenzhen Lightsun Industry Co. Ltd, Shenzhen 518000, China2. University of Delaware, Newark 19716, USA3. Shenzhen Leveking Bio-engineering Co. Ltd, Shenzhen 518000, China4. Marine Monitoring & Forecasting Center of Shenzhen, Shenzhen 518000, China;
Abstract:In the present work, we analyzed the spatial and temporal distribution of dissolved oxygen (DO) and the relationships between DO and water quality parameters of coastal waters in the eastern Shenzhen area. The data were collected from nine automated monitoring buoy platforms from 2012 to 2016. The results showed the ranges of DO in Daya Bay and Mirs Bay were from 2.15 to 14.86 mg·L-1 and from 1.43 to 15.61 mg·L-1, respectively. The mean DO in Daya Bay and Mirs Bay were 7.31 and 7.13 mg·L-1, respectively. Analysis showed the DO during daytime was higher than in nighttime, and the DO was higher during winter than in the other seasons. For comparison between locations, the DO in Daya Bay was higher than Mirs Bay in fall and summer but showed no difference in spring and winter. Pearson’s correlation analysis revealed the DO exhibited seasonally dependent linear relationships with temperature, salinity, turbidity, and chlorophyll-a concentration, respectively.
Keywords:Shenzhen  nearshore  online monitoring  dissolved oxygen  temporal and spatial distributions  
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