地表水水质自动监测预警方法初探

嵇晓燕<sup>1</sup>; 孙宗光<sup>1</sup>; 杨凯<sup>1</sup>; 姚志鹏<sup>1*</sup>等

引用本文:	嵇晓燕,孙宗光,杨凯,姚志鹏等.地表水水质自动监测预警方法初探[J].环境监控与预警,2022,14(4):24-30
	JI Xiao-yan, SUN Zong-guang, YANG Kai, YAO Zhi-penget al.Methodology of Early Warning with Surface Water Quality Automatic Monitoring Data[J].Environmental Monitoring and Forewarning,2022,14(4):24-30

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地表水水质自动监测预警方法初探
嵇晓燕,孙宗光,杨凯,姚志鹏等^1,2
1.中国环境监测总站，北京 100012;2.北京金水永利科技有限公司，北京 100012

摘要:

基于目前我国地表水水质自动监测现状，初步探讨了地表水水质自动监测预警方法体系，提出了水质自动监测预警的整体技术路线，搭建基于突变型预警和渐变型预警的多种预警模型组框架，可以实现对单因子、多因子组合，趋势、状态等不同情况的异常水质数据进行预警，保证了预警的可靠性和准确性。通过实例分析，从水质自动监测数据集成、异常数据判定清洗、预警模型建立与运行、预警信息处理等方面介绍了水质自动监测预警的实现方法。

关键词: 地表水水质自动监测预警技术路线突变型预警渐变型预警

DOI：

分类号:X84

基金项目:长江生态环境保护修复联合研究基金资助项目（2019-LHYJ-01-0301）；国家水环境监测监控及业务化平台技术研究课题（2017ZX07302002）

Methodology of Early Warning with Surface Water Quality Automatic Monitoring Data

JI Xiao-yan, SUN Zong-guang, YANG Kai, YAO Zhi-penget al^1,2

1. China National Environmental Monitoring Center, Beijing 100012, China;2. Beijing Golden Water Technology Co.,Ltd., Beijing 100012, China

Abstract:

Based on the current status of Chinas surface water quality automatic monitoring, the current paper preliminarily discussed the early warning method system of surface water quality automatic monitoring. The overall technical route of early warning on automatic water quality monitoring has been put forward, and a variety of early warning model group framework has been built based on sudden change type early warning and gradual change type early warning, which can realize the single factor, multi factor combination, trend, status and other different cases of abnormal data early warning, so as to ensure the reliability and accuracy. Finally, the implementation of early warning method of water quality automatic monitoring was introduced through the examples such as integration of the water quality automatic monitoring data, determination and cleaning of abnormal data, establishment and operation of early warning model, process of early warning information and other aspects.

Key words: Surface water quality Water quality automatic monitoring Early warning technology route Sudden change type early warning Gradual change type early warning