城市智慧排水管控中多元监测体系构建研究
Construction of Multi-dimensional Monitoring System in Urban Intelligent Drainage Control
孙连鹏 1徐一凡 1林健新 2朱津君 1李险峰 3祝新哲1
作者信息
- 1. 中山大学环境科学与工程学院,广东 广州 510006
- 2. 广东爱科环境科技有限公司,广东 中山 528400
- 3. 澳门科技大学计算机科学与工程学院,中国 澳门 999078
- 折叠
摘要
城市河流与排水管网污染溯源的时效性差与监测体系空间覆盖不平衡等仍是城市水环境管理的突出问题.随着无人机、物联网、水质在线监测、高精度定位等技术的发展,实现快速污染溯源的多元监测体系正逐步实现.该研究通过对中山市濠头涌区域的排水管网关键节点与河流关键断面安装分布式检测仪表,并应用无人监测船对城市河流进行地形测量、水质监测,完成了监测体系的构建和多元监测数据的获取,实现了分布式仪表与无人监测船的优势互补.此外,基于电导率与氨氮相关性系数大于0.92的结果及氨氮作为主要污染物的现状,验证了电导率作为主要水质实时监测指标的合理性.
Abstract
The poor timeliness of pollution traceability of urban rivers and drainage networks and the imbalance of spatial coverage of the monitoring system are still outstanding problems in urban water environment management.With the develop-ment of technologies such as drones,Internet of Things,online water quality monitoring,and high-precision positioning,the construction of a multifaceted monitoring system that rapidly conducts pollution traceability is gradually being realized.The distributed detection instruments were installed at key nodes of the drainage network and key sections of the river in Haotouchong area of Zhongshan City,while unmanned surface vehicle was applied to conduct topographic measurement and wa-ter quality monitoring on the urban river.Thereafter,the monitoring system was completed and used for multivariate monitoring data,which suggested the complementary advantages of the distributed instruments and the unmanned monitoring boat.In addi-tion,based on the result that the correlation coefficient between conductivity and NH3-N was not less than 0.92,and the current situation of ammonia nitrogen as the main pollutant,it verifies the rationality of it as the main water quality monitoring index.
关键词
智慧排水管控/多元监测体系/无人监测船/分布式检测仪表/电导率Key words
intelligent drainage control/multiple monitoring system/unmanned surveillance ship/distributed detection in-strument/electric conductivity引用本文复制引用
基金项目
国家重点研发计划(2019YFE0111400)
澳门科学技术发展基金(0079/2019/AMJ)
出版年
2024
NETL
NSTL
万方数据