摘要
随着工农业的快速发展,一些企业或者人类活动可能会导致有毒污染物的排放并进一步汇入到地表水中,严重影响到人类及其他生物体的生命安全。因此,十分有必要针对地表水的水质情况展开实时监测。传统的水质监测方法是通过现场采样并对样品展开监测,然后通过人工判断实验结果。然而,较长时间间隔的取样可能使得数据没有代表性,影响到水质的监测结果,而如果频繁地采样,会耗费大量的时间以及加大检测成本。此外,人为带来的误差也是影响数据准确性的一个重要因素。因此,有必要开发出在线的智能地表水实时监测及预警系统,例如通过物联网和智能技术的结合已经展现出了良好的发展前景。在此基础上,本文回顾了当前地表水水质在线监测系统开发的传感器和系统,并提出了该技术的优势以及目前存在的一些问题及挑战。
With the development of industry and agriculture,some enterprises or human activities may lead to the discharge of toxic pollutants and further sink into surface water,which seriously affects the life safety of human beings and other organisms.Therefore,it is necessary to carry out real-time monitoring of surface water quality.The traditional method of water quality monitoring is to take samples on site and test the samples,and then judge the results manually.However,long sampling intervals may make the data unrepresentative and affect the water quality test results,while frequent sampling will consume a lot of time and increase the cost of testing.In addition,human-induced errors are also an important factor affecting data accuracy.Therefore,it is necessary to develop an online intelligent surface water real-time monitoring system,for example,through the combination of the Internet of Things and intelligent technology has shown good prospects for development.Then on this basis,this paper reviews the current sensors and systems developed for online surface water quality monitoring systems and presents the advantages of the technology as well as some of the current problems and challenges.
作者
李文敏
赵裕鑫
张翼飞
李子彤
张怡人
Li Wenmin;Zhao Yuxin;Zhang Yifei;Li Zitong;Zhang Yiren(Gansu Longnan Ecological Environment Monitoring Center,Longnan 746000,China)
出处
《广东化工》
2025年第7期70-72,13,共4页
Guangdong Chemical Industry
基金
甘肃省青年科技基金(23JRRK0003)。
关键词
地表水
在线监测
物联网
传感器
surface water
online monitoring
internet of things
sensors
作者简介
李文敏(1988-),女,甘肃武都人,高级工程师,硕士,主要研究方向为生态环境中水和废水、环境空气和废气、土壤和沉积物等污染因子的分析测试、综合评价工作。
