地表水状态实时监测与重金属污染物特征分布研究  

Real-time Monitoring of Surface Water Status and Analysisof Heavy Metal Pollutant Distribution Characteristics

作　　者：黎文辉 Li Wenhui(GDAES Environmental Technology Co.,Ltd.,Guangzhou 510000,China)

机构地区：[1]广东环科院环境科技有限公司,广东广州510000

出　　处：《环境科学与管理》2024年第5期143-146,共4页Environmental Science and Management

摘　　要：为了更有效地改善地表水环境,给予防治措施更可靠的实施依据,基于窄带物联网技术设计了一种地表水状态实时监测技术。以窄带物联网为技术支持,建立感知层、传输层及应用层,结合电源、微控制器构成实时监测平台,采集、传输地表水状态信息的同时完成对地表水状态的监测。在通过瞬时采样法采集监测点处的地表水样本后,利用电感耦合等离子体质谱法等方法,分析各污染物的特征分布状况。测试结果表明:随水流方向,所选研究区域内地表水中的重金属污染物呈现出显著的空间分布差异性,且平均含量超出Ⅴ类水标准,属重度污染。In order to effectively improve the surface water environment and provide more reliable implementation basis for prevention and control measures,a real-time monitoring technology for surface water status was designed based on narrowband Internet of Things technology.With narrowband Internet of Things as technical support,the paper establishs a perception layer,transmission layer,and application layer,combined with power supply and microcontroller to form a real-time monitoring platform to collect and transmit surface water status information while completing surface water status monitoring.After collecting surface water samples at monitoring points through instantaneous sampling,the characteristic distribution of various pollutants was analyzed using methods such as inductively coupled plasma mass spectrometry.The test results show that with the direction of water flow,there is a significant spatial distribution difference of heavy metal pollutants in the surface water of the selected research area,and the average content exceeds the Class V water standard,indicating severe pollution.

关 键 词：地表水 窄带物联网技术 物理状态实时监测 重金属污染物 污染物特征分布 

分 类 号：X522[环境科学与工程—环境工程]