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针对海水淡化预处理系统中关于原海水水质要素动态监测较少的现状，本文提出并设计实现了基于海面多要素浮标的原海水水质同步监测系统，该系统利用海洋物联网技术将数据传输至云平台，并建立B/S架构综合信息分析系统，实现原海水溢油、浊度、PH等参数的实时采集、分析与预警。根据2022年5月青岛胶州湾定点观测试验数据，研究建立了区域悬浮物浓度检索模型，并进一步探讨近岸水体中悬浮物浓度的日变化特征。结果表明：浮标系统运行稳定，所采集的海洋环境信息准确有效；水体内悬浮物浓度日变化的平均范围在2.94～8.54 mg/L,呈现双峰结构。
Abstract：Seawater desalination, as an approach to increase water resources, has play a key role in municipal and industrial water in coastal cities. In current process of Seawater desalination, the water quality monitoring mainly concentrated in production workshop, while dynamic monitoring of raw seawater quality is less. However, the change of seawater quality, especially the unexpected disasters such as marine oil spill, will cause negative effects on desalination equipment. In order to help business department mitigate the losses caused by above, a dynamic synchronous monitoring system of raw seawater quality based on sea surface multi-factor buoy was proposed and designed. The system used the internet of things technology to transmit data to cloud platform, and established an information comprehensive analysis system based on B/S architecture to realize real-time acquisition, analysis and early warning of raw seawater oil spill, turbidity, PH and other parameters. On this basis, Through experiments near the Jiaozhou Bay offshore in May 2022, a fast model of retrieving SPM concentration from in situ turbi-dity was established, and the daily variation characteristics of SPM concentration in surface seawater were further studied. The results verify the accuracy and reliability of marine environmental quality information collection and the effectiveness of SPM model. The average daily variation of the concentration of suspended solids in surface seawater ranges from 2.94 to 8.54 mg/L, showing a bimodal structure.
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基本信息:
DOI：10.16441/j.cnki.hdxb.20220369
中图分类号:P747
引用信息:
[1]苏珮瑶,黄磊,张晓东,等.面向海水淡化的原海水水质监测与悬浮物浓度研究[J],2023,53(S1):11-18.DOI:10.16441/j.cnki.hdxb.20220369.
基金信息:
青岛海洋科学与技术试点国家实验室山东省专项经费(2022QNLM050301);; 原海水水质监测与预警平台设备购置专项(QDBF202130)资助~~