首页|基于双浮标连续监测资料分析大亚湾西南部海域水体环境变化特征及其影响因素

基于双浮标连续监测资料分析大亚湾西南部海域水体环境变化特征及其影响因素

扫码查看
原文链接
  • NETL
  • NSTL
  • 万方数据
水质环境监测对了解海洋生态系统变化至关重要.本文利用 2022-2023年期间位于大亚湾西南部海域的 2个浮标的连续监测数据,分析了水质环境的时间序列变化.结果表明,大亚湾西南部海域的温度、盐度可能受太阳辐射与降水的影响,具有明显的季节性差异,即夏季温度高、盐度低,冬季温度低、盐度较高;而Chl a具有明显的昼夜节律,溶解氧和pH存在相似的日变化模式.在夏、秋季,大鹏澳较杨梅坑海域呈现出高温、低盐、低溶解氧、低pH和高Chl a的特点.Pearson相关性分析表明,夏、秋季的温度、盐度、溶解氧、pH和Chl a之间存在显著的相关性,且存在区域差异,湾口附近,海浪、上升流等水体运动可能是主要影响因素;近岸,径流输入可能是导致水质环境变化的主导因素.此外,本文还记录了远距离台风引起的海浪及降水事件,继而对大亚湾海域环境造成影响.解析沿海环境参数时间序列的变化特征,对海洋生态系统的演变特征研究具有重要指示作用.
Analysis of water environmental changes and influencing factors in the southwestern waters of the Daya Bay based on continuous monitoring data from dual buoys
The monitoring of water quality is very important to understand the changes in marine ecosystem.Based on the continuous monitoring data of two buoys in the southwest of the Daya Bay from 2022 to 2023,this paper analyzes the time series changes in water quality environment.The results showed that the temperature and salinity in the southwest of the Daya Bay were affected by solar radiation and precipitation,with obvious seasonal differences.The temperature and salinity were high in summer and low in winter;Chlorophyll a,dissolved oxygen and pH showed obvious diurnal changes.In summer and autumn,the Dapeng Cove was characterized by high temperature,low salinity,low dissolved oxygen,low pH,and high chlorophyll a compared with the Yangmeikeng.Pearson correlation analysis showed that there was a significant correlation among temperature,salinity,dissolved oxygen,pH,and chlorophyll a in summer and autumn,and there were regional differences.Near the bay mouth,waves,upwelling,and other water movements may be the main influencing factors;nearshore,the increase of runoff input may be the primary dominant factor causing changes of water quality.In addition,this article also recorded the impact of distant typhoons causing waves and precipitation events,thus affecting the environment of the Daya Bay.Analyzing the characteristics of the changes in the time series of coastal environmental parameters has important implications for studying the evolutionary characteristics of marine ecosystems.

Daya Baycoastal areaenvironmental parametersonline monitoringdistribution characteristic

奚琛、林宗轩、萨如拉、邓玺、刘强、倪亮、罗来才、马腾、谢智杰、陈思若、陈松泽

展开 >

中广核研究院有限公司,广东深圳 518000

海洋地球古菌组学重点实验室,南方科技大学,广东 深圳 518055

广东省深圳生态环境监测中心站,广东 深圳 518049

深圳市朗诚科技股份有限公司,广东深圳 518000

哈尔滨工程大学,黑龙江哈尔滨 150001

海洋科学与工程系,南方科技大学,广东深圳 518055

展开 >

大亚湾 近岸海域 环境参数 在线监测 分布特征

国家自然科学基金广东省基础与应用基础研究基金深圳市联合基金项目南方科技大学深圳海洋地球古菌组学重点实验室项目广东大学生科技创新培育专项资金资助项目

421410032021B1515120080ZDSYS201802081843490pdjh2022c0029

2024

10.11978/2023130

热带海洋学报
中国科学院南海海洋研究所

热带海洋学报

CSTPCD北大核心
影响因子：0.513
ISSN：1009-5470
年,卷(期)：2024.43(4)
  • 17