湟水流域水质自动监测存在的问题及建议

文章从青海环境监测管理角度出发,结合青海湟水流域水质自动监测发展现状,对流域内水质自动监测站存在的自动监测、数据传输、管理服务等方面的问题进行了总结分析,提出了适合湟水流域水质自动监测的针对性建议。     

水质自动监测站应急制度建设情况探讨

我国水质自动监测站大多分布在边远地区,通过建立以应急制度文件架构、应急监测系统基本情况介绍、监测工作安排、应急监测清单、应急设备操作规程、应急监测结果记录表、应急监测培训及应急演练等内容为主体的水质自动站应急运行制度,可显著提高应急工作效率,顺利完成水质自动监测站应急工作。水质自动监测站应急制度建设的基本要求包括:建立一套能引起领导足够重视的水质自动监测应急管理机制,建立管理人员介入水质自动监测站工作机制,编制水质自动监测站应急管理规范。     

关于我国当前水质自动监测站管理机制的探讨

随着水质自动监测站数量的不断增加，水质自动监测站的管理问题日渐突出，由于缺乏必要的管理经验和管理制度，出现了各种各样的管理模式。水质自动监测站的建成实现了间断性人工监测向连续性自动监测的转变，实现了水质监测实时远程控制的连续性，高频次的监测结果更能客观、准确地判断断面水质的质量状况，使得河流水质评价更具科学性、准确性，能更好地服务于环境管理工作。     

水质自动监测站的运行管理和质量控制

建立水质自动监测系统是继我国设置大气污染自动监测系统之后，进一步强化对江河湖海实施水质监控的重要举措。水质自动监测具有连续及时反映水质的动态变化、加强快速处理应急事件的优势，它的发展将逐步实现由人工间断监测向自动连续监测的过渡，     

双流县金马河饮用水源地水质自动监测系统介绍

为了及时、准确地掌握金马河水质状况,预警重大或流域性水质污染事件,确保饮用水水源地安全,双流县于2008年建立了县级饮用水源水质自动监测系统。本文详细介绍了水质自动监测系统的组成和特点,为其他水质自动系统的构建提供了有益的参考。     

浅谈沱江泸州大磨子水质自动监测系统的改进

本文对沱江流域泸州大磨子水质自动监测系统运行初期的部分改进进行了分析与陈述，并根据对长江流域泸州沱江二桥水质自动监测站和泸州大磨子水质自动监测站的经验，总结出该系统部分改进前后的利与弊，希望能给岷、沱江流域各水质自动监测站的管理人员和仪器设备商提供借鉴。     

环保产品检测机构名录

1.国家环境保护总局环境监测仪器质量监督检验中心 地址:北京市朝阳区安外大羊坊8号院2号楼南段四层 邮编:100012 电话:010-84933227 传真:010-84933223 检验项目: pH水质自动分析仪、化学需氧量(COD)水质在线自动监测仪、电导率水质自动分析仪、浊度水质自动分析仪、溶解氧(DO)水质自动分析仪、高锰酸盐指数水质自动分析仪、氨氮水质自动分析仪、总氮水质自动分析仪、总磷水质自动分析仪、总有机碳(TOC)水质自动分析仪、紫外吸收水质自动在线监测仪、PM10采样器、总悬浮颗粒物采样器、24小时恒温自动连续环境大气采样器、定电位电解法二氧化硫测定仪、烟气采样器、烟尘采样器、污染治理设施运行记录仪降雨自动采样器、降雨自动监测仪、固定污染源排放烟气连续监测系统.     

胶州湾水质自动站周边水质及运行效果分析

据2016年胶州湾水质自动监测的数据结果,分析了水质变化趋势,并统计和评价其水质超标情况。结果表明:2016-04—11水质自动站海域溶解氧质量浓度和pH 的日均值均达到二类海水水质标准,达标率为100%;活性磷酸盐年均值为0.023mg/L,无机氮年均值为0.154mg/L,以硝酸盐为主(64.9%);无机氮和活性磷酸盐超标率均为16.7%,而且集中在降雨量较大的8月、9月,营养盐指标超标基本与海泊河的淡水输入有关;叶绿素a质量浓度与溶解氧、pH 和浊度呈显著正相关,浮游植物光合作用对该海域表层海水的水质参数影响较大;自动站监测和人工监测的营养盐在年际变化上呈现较一致的趋势,说明运用水质自动站监测该海域的营养盐变化趋势较为准确。     

大兴新凤河流域地表水水质自动监测站的建设

文章基于新凤河项目,介绍了水质自动监测站建设规模、监测指标、站房要求、采水单元、配水分析单元、控制单元、清洗单元、辅助设施等.通过仪表分析数据与化验数据的对比可知,自动监测站测量的结果在正常偏差范围内,可满足使用要求,可为实现水质自动监测、河道运维及决策提供有效数据支撑.     

环保部要求近岸海域水质自动监测数据实时公布

正7月3日,环保部表示将向社会发布《中国近岸海域环境质量公报》及公开近岸海域国控监测站位水质监测信息。环保部要求,建有近岸海域水质自动监测系统的应当公布水质自动监测实时数据。环保部表示,将要发布的近岸海域环境监测信息包括,近岸海域海水水质监测信息,入     

INTEGRATION OF WATER QUALITY MODELING,REMOTE SENSING,AND GIS1

ABSTRACT: Water quality modeling has been developed for more than three quarters of a century, but is limited to the study of trends instead of making accurate short-term forecasts. A major barrier to water quality forecasting is the lack of an efficient system for water quality monitoring. Traditional water quality sampling is time-consuming, expensive, and can only be taken for small sizes. Remote sensing provides a new technique to monitor water quality repetitively for a large area. The objective of this research is to use remotely sensed data in a water quality model - QUAL2E - in a case study of the Te-Chi Reservoir in Taiwan. The water quality variables developed from the simulations are displayed in map form. The developed forecasting system is designed to predict water quality variables using remote sensing data as an input to initialize and update water quality conditions.     

An online water quality monitoring and management system developed for the Liming River basin in Daqing, China

This paper describes an online water quality monitoring and management system that was developed by combining a chemical oxygen demand sensor with an artificial neural network technology and a virtual instrument technique. The system was used to model the hydrological environment of the Liming River basin in Daqing City, China, in an effort to maintain the water quality in this basin at a level compatible with the status of Daqing City as a scenic resort. Operation of the system during the past 2 years has shown that an optimal allocation of water (including water released from an environmental reservoir to mitigate pollution events) could be achieved for the basin using the information gathered by the system; using mathematic models established for this system, the quantity of water released from the reservoir is adequate to improve the overall water environment. The results demonstrate that the system provides an effective approach to water quality control for environmental protection.     

湖泊蓝藻水华数字化预警系统构建探讨

构造湖泊蓝藻水华数字化预警系统是我国湖泊水环境管理的一个重要方向。本文探讨了构建湖泊蓝藻水华数字化预警系统的若干技术问题，包括：（1）数字化预警数学模式。提出需重视流域尺度的氮磷营养物和沉积动态输入以及营养物、沉积物对水生态结构动力过程的影响，建立非点源模型和湖泊生态结构动力学模型相耦合的预警数学模型模式；在此基础上提出了各种数学模型的可借鉴模式。（2）湖泊蓝藻水华预警监测技术。总结了常规水质监测的数据筛选方法，探讨了遥感技术和实时传输监测技术在水质监测中的应用模式，提出了实时监测和遥感监测需解决的技术难题和实现方法。（3）湖泊蓝藻数字化预警系统的设计。提出了数学模型系统、水质监控系统的网络化集成设计模式，提出了基于网络化地理信息系统的计算机应用软件实现模式。     

REGULATORY WATER QUALITY MONITORING: A SYSTEMS PERSPECTIVE1

ABSTRACT: Regulatory water quality monitoring has evolved to the point where it is a rather complex system encompassing many monitoring purposes and involving many monitoring activities. Lack of a system's perspective of regulatory monitoring hinders the development of effective and efficient monitoring programs to support water quality management. In this paper the regulatory water quality monitoring system is examined in a total systems context. The purposes of regulatory monitoring are reviewed and categorized according to their legal evolution. The activities of regulatory monitoring are categorized and organized into a system which follows the flow of information through the monitoring program. The monitoring purposes and activities are combined to form a monitoring system matrix - a framework within which the total regulatory water quality monitoring system is defined. The matrix, by defining the regulatory monitoring system and clarifying many interactions within the system, provides a basis upon which a more thorough approach to managing, evaluating, and eventually optimizing regulatory monitoring can be developed.     

水质监测领域报表工具的研究与应用

水质报表是水环境监测领域内系统的重要组成部分,为加快水质报表的开发,增强水质报表的可维护性,设计独立于系统并且符合水质报表特性的报表工具。该报表工具分为报表设计器和报表服务器两部分,设计器提供可视化的报表编辑界面,允许用户自己设计报表函数,服务器负责报表的调用和解析并且采用缓存机制提高报表的运行效率,将该报表工具应用于水质环境监测及分析系统以验证其实用性,结果证明,该水质报表工具具有较高的灵活性和可扩展性。     

污水在线监测系统的建设与使用

文章介绍了在线监测系统的仪器配备、测量原理、设备特点及使用情况。污水在线监测系统通过对COD、氨氮、悬浮物、水中油、硬度五种监测仪器的组合,实现了油田污水再利用方面水质化验的简化工序,对水质污染物进行实时监测。运行经验表明,依靠该系统测量的数据可有效提高污水的监测水平,使之达到生产要求,对监测不合格的污水及时调整和处理,并可进行远输、传控。     

小流域水质评价方法对比研究

为分析小流域水质评价方法的准确度和适应度,以小安溪流域2017年和2018年的监测数据为基础,利用单因子评价法、综合指数评价法、内梅罗污染指数法和加拿大水质指数法进行水质评价,利用等标水质分析的思想对比了四种方法的评价准确度。评价结果显示:单因子评价法更适合评价水质分布较均匀的流域,内梅罗污染指数法要更为客观一些,加拿大水质指数法更适合较大的、评价指标较多的流域。综合指数评价法是最适合小流域水质评价的。其结果为小流域水质评价方法选择提供了借鉴。     

Risk assessment of aquifer storage transfer and recovery with urban stormwater for producing water of a potable quality

The objective of the Parafield Aquifer Storage Transfer and Recovery research project in South Australia is to determine whether stormwater from an urban catchment that is treated in a constructed wetland and stored in an initially brackish aquifer before recovery can meet potable water standards. The water produced by the stormwater harvesting system, which included a constructed wetland, was found to be near potable quality. Parameters exceeding the drinking water guidelines before recharge included small numbers of fecal indicator bacteria and elevated iron concentrations and associated color. This is the first reported study of a managed aquifer recharge (MAR) scheme to be assessed following the Australian guidelines for MAR. A comprehensive staged approach to assess the risks to human health and the environment of this project has been undertaken, with 12 hazards being assessed. A quantitative microbial risk assessment undertaken on the water recovered from the aquifer indicated that the residual risks posed by the pathogenic hazards were acceptable if further supplementary treatment was included. Residual risks from organic chemicals were also assessed to be low based on an intensive monitoring program. Elevated iron concentrations in the recovered water exceeded the potable water guidelines. Iron concentrations increased after underground storage but would be acceptable after postrecovery aeration treatment. Arsenic concentrations in the recovered water continuously met the guideline concentrations acceptable for potable water supplies. However, the elevated concentration of arsenic in native groundwater and its presence in aquifer minerals suggest that the continuing acceptable residual risk from arsenic requires further evaluation.     

YX-WQMS在左卫国控点水质自动监测站的应用

官厅水系左卫国控点水质自动监测站的YX-WQMS系统，由采水系统、配水系统、在线水质分析仪器、PLC控制和数据采集举统、数据处理和传输系统，监测站房和配套设备六个部分组成。表文重点介绍了该自动监测系统的关键技术和分析权的特点。     

EVALUATION OF WATER QUALITY AND MONITORING IN THE ST. LUCIE ESTUARY,FLORIDA1

ABSTRACT: The St. Lucie River and its tributaries form a major estuarine system on the southeast coast of Florida. This system is strongly affected by anthropogenic influences, including controlled releases of freshwater from Lake Okeechobee through the St. Lucie Canal and an extensive artificial drainage and irrigation system in the watershed. In the present study, three years of biweekly water quality monitoring data from the estuary were examined. The major stresses to the system stem from high variability of the salinity, frequent low dissolved oxygen (DO) events, and light limitation due to high levels of humic substances brought into the system with the fresh water. Nutrient levels also are high. Management goals for the system, including improvement of DO and water clarity, will require reduction in quantity and variability of freshwater releases.