城市排水系统水、气、泥监测方案优化及数据应用
Optimization and Data Application of Water,Gas,and Mud Monitoring Schemes for Urban Drainage Systems
马经纬1
作者信息
- 1. 上海市城市排水监测站有限公司,上海 200062
- 折叠
摘要
现阶段排水管理运行部门在制定年度排水系统的水、气、泥监测方案时主要以满足各项污染物排放标准为主,仅能履行监管职责,未能对排水系统本身的运行优化决策提供决定性的技术依据.文章对城市排水系统引起环境污染的情况进行了梳理,结合一系列案例及数据论证,对城市污水处理厂、防汛泵站及输送泵站对环境影响的监测方案提出优化建议,介绍了污染发生后应采取的污染源溯源排摸方法及相关特征因子的检测,提出在进行环境监测的同时可适当引入职业健康安全特征性指标监测的想法,并对监测结果数据的实际应用及排水系统运行可采取的相应改进措施进行了论述,意在为排水运行管理部门履行监管职责时提供相应思路和技术支撑,提高监测工作的实际应用价值.
Abstract
At present,the drainage management and operation department mainly focuses on meeting the emission standards of various pollutants when formulating the annual water,gas,and mud monitoring plan for the drainage system.They can only fulfill their regulatory responsibilities and fail to provide decisive technical basis for optimizing the operation of the drainage system itself.This article sorts out the situation of environmental pollution caused by urban drainage systems,and combines a series of cases and data argumentation to propose optimization suggestions for the monitoring plan of environmental impact of urban wastewater treatment plants,flood control pumping stations,and transportation pumping stations.It introduces the pollution source tracing and elimination methods that should be adopted after pollution occurs,as well as the detection of relevant characteristic factors.The idea of appropriately introducing occupational health and safety characteristic indicators monitoring while conducting environmental monitoring is proposed,and the practical application of monitoring results data and corresponding improvement measures that can be taken for the operation of drainage systems are discussed.The aim is to provide corresponding ideas and technical support for the drainage operation management department to fulfill regulatory responsibilities and improve the practical application value of monitoring work.
关键词
排水系统/污染物/环境监测/数据应用/水质溯源Key words
drainage system/pollutant/environmental monitoring/data application/water quality traceability引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据