Optimal Expansion of Water Quality Monitoring Network by Fuzzy Optimization Approach

River reaches are frequently classified with respect to various mode of water utilization depending on the quantity and quality of water resources available at different location. Monitoring of water quality in a river system must collect both temporal and spatial information for comparison with respect to the preferred situation of a water body based on different scenarios. Designing a technically sound monitoring network, however, needs to identify a suite of significant planning objectives and consider a series of inherent limitations simultaneously. It would rely on applying an advanced systems analysis technique via an integrated simulation-optimization approach to meet the ultimate goal. This article presents an optimal expansion strategy of water quality monitoring stations for fulfilling a long-term monitoring mission under an uncertain environment. The planning objectives considered in this analysis are to increase the protection degree in the proximity of the river system with higher population density, to enhance the detection capability for lower compliance areas, to promote the detection sensitivity by better deployment and installation of monitoring stations, to reflect the levels of utilization potential of water body at different locations, and to monitor the essential water quality in the upper stream areas of all water intakes. The constraint set contains the limitations of budget, equity implication, and the detection sensitivity in the water environment. A fuzzy multi-objective evaluation framework that reflects the uncertainty embedded in decision making is designed for postulating and analyzing the underlying principles of optimal expansion strategy of monitoring network. The case study being organized in South Taiwan demonstrates a set of more robust and flexible expansion alternatives in terms of spatial priority. Such an approach uniquely indicates the preference order of each candidate site to be expanded step-wise whenever the budget limitation is sensitive in the government agencies.     

海洋水质在线监测系统中硝酸盐测量方法比较

硝酸盐是海洋水质监测的重要指标,目前在海洋水质在线监测系统中搭载的硝酸盐在线分析仪的种类较多,采用的测量原理也不尽相同.选取了 3种采用不同测量方法的代表性硝酸盐分析仪[氯化钒还原比色法硝酸盐分析仪、二乙烯三胺五乙酸还原比色法(DTPA)硝酸盐分析仪、紫外分光光度法硝酸盐分析仪],结合各自的测量原理、化学试剂特性等,就...     

城市区域水污染物排放核查方法与案例研究

城市水污染物排放信息是城市水环境保护决策和管理的依据,但城市水污染控制的外部性使城市水污染物排放信息产生失真风险,需要对城市区域水污染物排放信息核查。通过高质量数据对低质量数据的核查,用基于监测的水污染物入河量数据核查基于环境统计申报与排污系数的水污染物入河量数据,完善了城市区域水污染物排放核查方法。案例分析结果显示,环境统计COD入河排放量明显偏小。建议水污染物排放统计以入河量为核心,建立入河排污口监测体系,编制核查技术规范,实施区域污染物排放核查。     

基于Internet的大气分布式实时在线可控监测网的应用

主要论述了分布式实时在线可控大气监测网的总体设计、技术要点及解决途径。通过软件的设计策略和数据流图阐明了当前大气监测控制技术向网络化、分布性和互操作性方向发展的特点，结合开发的实例介绍了网络监测技术的应用效果。     

一种基于游弋图像的水域监视鸟瞰图成像系统

针对各类水域污染日趋严重而传统水质监测方式离散、范围受限等不足,构建了基于游弋图像的水域鸟瞰图成像系统,实现大范围实时、连续监控。使用偏振设备消除水面反光,得到清晰的水面图像。设计了摄像机内外参标定的方法,在线获得状态参数;提出了自适应空洞填补的策略,消除了由透视图映射至鸟瞰图时产生的图像空洞;结合GPS信息和图像特征配准技术,获取了由船载摄像机视频序列拼合成的鸟瞰全景图像。该方法具有分辨率高、实时性强、监测范围广和使用成本低等优势。     

锅炉污染物监测中运行负荷的现场判断

简述了锅炉的风量和烟气量、锅炉燃料的消耗量以及锅炉运行负荷的估算方法。通过实例分析,用现场监测的实际风量与理论值比较,粗略估算出监测时段锅炉运行负荷,比对锅炉污染物监测时段的锅炉运行负荷标准,从而判断监测数据的准确性与有效性。     

粪大肠菌群酶底物法在环境监测中的应用研究

粪大肠菌群作为水体粪便污染的指示菌，对地表水的水质监测评价具有重要作用。采取较为精确、快速的粪大肠菌群检测方法，对控制流行疾病的发生和传播有重要的科学意义。从粪大肠菌群的检测意义、监测方法、标准化应用情况等方面进行归纳分析，提出推广和标准化酶底物法监测粪大肠菌群的迫切性。     

龙江河流域水环境突发事件智能监控预警系统构建研究

系统调研分析广西龙江河流域内工业企业发展情况、重点污染源排污特征及流域污染监控现状,探索该河流域水环境突发事件智能化监控预警系统构建的思路。提出以水质常规五参数、有机物指标、富营养化指标、特征性指标、生物指标等为重点监控因子,根据全流域监控与分片监控相结合的原则,在现有的河流水质自动站基础上增加建设2座水质自动站。同时,结合龙江河流域的实际情况,提出运用新一代物联网技术构建智能化监控预警系统,实现立体感知、多维数据融合、数据高速传输、信息实时发布、超标预警、可视化展示、应急决策指挥等功能。     

Conjunctive Vadose and Saturated Zone Monitoring for Subsurface Contamination

A comprehensive subsurface monitoring program should include contaminant detectors in both the vadose and saturated zones. Vadose zone detectors can provide an early warning of an impending groundwater contamination problem, and also yield information relevant to placing groundwater monitoring wells. Moisture probes, gas monitoring wells, and pore-liquid samplers deployed in the vadose zone complement groundwater detection wells. The objective(s) of a monitoring program, spatial-scales, and hydrogeology are important considerations for designing subsurface monitoring networks. Often, these networks are used to detect potential releases or characterize existing contamination beneath land-based waste storage facilities. A case study in Santa Barbara, California, U.S.A., illustrates the utility of vadose zone monitoring in characterizing a gasoline contamination problem and guiding the placement of groundwater monitoring wells.     

A Framework for the Design of Ecological Monitoring Programs as a Tool for Environmental and Nature Management

Environmental and nature management can not operate effectivelywithout reliable information on changes in the environment andon the causes of those changes. Ecological monitoring canrepresent an important source of information. However, manyoperational monitoring programs are not very effective, i.e., not very useful for decision-making. We present a conceptualframework for the development and maintenance of effectiveecological monitoring programs. In the decision-making process,two main functions for monitoring can be recognized: an earlywarning and an early control function. Both these functionsrequire a high diagnostic power. This is used as a guideline forthe design process. The design consists of choices concerningmonitoring objectives, objects and variables to be monitored,sampling strategy and design, data collection, data handling, maintenance and organization. Arguments commonly put forward inliterature and in practice to support the various choices aresubjected to a critical analysis. The framework will be helpfulin the design of effective monitoring systems as it avoidsimportant components to be overlooked, clarifies the relationbetween the different components, maximizes the exploitation ofexisting possibilities and opportunities and identifiesshortcomings in advance. This will result in monitoring programsthat should be able to live up to their expectations.     

Adaptive Consensus Principal Component Analysis for On-Line Batch Process Monitoring

As the regulations of effluent quality are increasingly stringent, the on-line monitoring of wastewater treatment processes becomes very important. Multivariate statistical process control such as principal component analysis (PCA) has found wide applications in process fault detection and diagnosis using measurement data. In this work, we propose a consensus PCA algorithm for adaptive wastewater treatment process monitoring. The method overcomes the problem of changing operating conditions by updating the covariance structure recursively. The algorithm does not require any estimation compared to typical multiway PCA models. With this method process disturbances are detected in real time and the responsible measurements are directly identified. The presented methodology is successfully applied to a pilot-scale sequencing batch reactor for wastewater treatment.     

突发性环境污染事故应急监测质量保证体系的研究

结合北京市环境保护监测中心应急监测质量保证工作的经验,提出了应急监测质量保证体系的构成、运行和质量保证措施.强调了加强应急监测质量保证工作,尤其是日常的质量保证工作,定期进行应急监测演习及案例分析,是做好应急监测工作,实现应急监测数据快速性、准确性、可靠性、代表性、时效性的重要保证.     

环境复杂河段网络站水质监测点位认证数据处理技术方法探讨

根据淮河淮南段水环境背景条件复杂状况，采用统计学和水质模型综合方法，较好解决了水质监测点位认证中数据处理，为多监测断面点位优化选择和论证提供了理论基础。     

Monitoring, assessment and modelling using water quality data in the Saale River Basin, Germany

The European Water Framework Directive (WFD) is the overall driver for this environmental study and currently requires the identification of patterns and sources of pollution (monitoring) to support objective ecological sound decision making and specific measures to enhance river water quality (modelling). The purpose of this paper is to demonstrate in a case study the interrelationship between (1) hydrologic and water quality monitoring data for river basin characterization and (2) modelling applications to assess resources management alternatives. The study deals with monitoring assessment and modelling of river water quality data of the main stem Saale River and its principal tributaries. For a period of 6 years the data, which was sampled by Environmental Agencies of the German states of Thuringia, Saxony and Saxony-Anhalt, was investigated to assess sources and indicators of pollution. In addition to the assessment a modelling exercise of the routing of different pollutants was carried out in the lower part of the test basin. The modelling is a tool to facilitate the evaluation of alternative measures to reduce contaminant loadings and improve ecological status of a water body as required by WFD. The transport of suspended solids, salts and heavy metals was modelled along a selected Saale reach under strong anthropogenic influence in terms of contaminants and river morphology between the city of Halle and the confluence with the Elbe River. The simulations were carried out with the model WASP5 which is a dynamic flood-routing and water quality model package developed by the US Environmental Protection Agency.     

Monitoring nekton as a bioindicator in shallow estuarine habitats

Long-term monitoring of estuarine nekton has many practical and ecological benefits but efforts are hampered by a lack of standardized sampling procedures. This study provides a rationale for monitoring nekton in shallow (<#60; 1 m), temperate, estuarine habitats and addresses some important issues that arise when developing monitoring protocols. Sampling in seagrass and salt marsh habitats is emphasized due to the susceptibility of each habitat to anthropogenic stress and to the abundant and rich nekton assemblages that each habitat supports. Extensive sampling with quantitative enclosure traps that estimate nekton density is suggested. These gears have a high capture efficiency in most habitats and are small enough (e.g., 1 m²) to permit sampling in specific microhabitats. Other aspects of nekton monitoring are discussed, including spatial and temporal sampling considerations, station selection, sample size estimation, and data collection and analysis. Developing and initiating long-term nekton monitoring programs will help evaluate natural and human-induced changes in estuarine nekton over time and advance our understanding of the interactions between nekton and the dynamic estuarine environment.     

Monitoring Changes in Freshwater Macroinvertebrate Communities Along a Salinity Gradient Using Artificial Substrates

Scientists strive to develop efficient sampling protocols, reducing both the number of samples and processing time required, which can be adapted for use in a broad range of ecosystems. We investigated the accuracy and usefulness of artificial substrates in monitoring the impact of rising salinity on freshwater macroinvertebrate communities. We sampled seven sites along a salinity gradient (from 0.2gL^-1 to 2.6gL^-1) over a 19-km stretch of the Meurthe River, in northeastern France. All other parameters remained stable in this section of the river. Artificial substrate samples, each consisting of six liters of pebbles, were removed from the river at one-month intervals and examined. Results obtained indicated the same qualitative impairments as those found in samples collected using a Surber net. The use of artificial substrates was found to be a viable alternative method for assessing biological changes in river quality due to increasing salinity disturbance when Surber sampling cannot be performed.     

基于VOCs浓度反演的地下水中含油物质泄漏原位在线监测方法的建立及应用

石油石化企业的含油物质泄漏进入地下水,会对生态环境造成负面影响。通过构建地下水井模型,比选不同原理的挥发性有机物(VOCs)检测传感器,建立了基于VOCs浓度反演的地下水中含油物质泄漏原位实时在线监测方法。研究发现,常规水质六参数传感器对含油物质泄漏的响应会产生滞后现象,在实时预警监测地下水井中含油物质时可不安装常规水质六参数传感器,节约企业污染防控监测成本。将该方法应用于企业现场进行原位实时监测,当实时监测值超过数据监控平台预警阈值时,系统会发出警报,实现了地下水井中含油物质泄漏实时预警监测。该监测方法具有响应速度快、准确性高、成本低、监测过程简单等优势,将帮助企业实时掌握地下水污染状况,提高地下水污染防控预警效率。     

基于通量守恒原理的水质监测非统计不确定性研究

水环境动态监测过程中,结果存在非统计不确定性.以北京市密云水库曹家路小流域安达木河部分汇流河段为研究对象,结合水质和流量数据,分析了单次监测中水质存在的偶然误差下限值,去除其粗大值,以其均值表征动态监测过程中的非统计不确定性.由于研究的汇流河段尺度小,水流经过时间短,迁移转化过程可以忽略,建立的基于通量守恒原理的非统计...     

江苏省水质全要素代表性监测体系的设计

为了评价并进行城市水环境质量考核排名,介绍了江苏省组织开展涵盖地表水、饮用水、地下水、近岸海域和城市内河5种类型"全要素、代表性"水质监测断面(点位)体系建设工作的情况以及全要素断面设置的基本原则和做法。分苏南、苏北、苏中3个区域,对全省地表水监测代表性进行了量化计算,结果表明,调整后全省水质综合指数极差从41.07降至7.17,标准差从3.16降为0.49;采用德尔斐层次分析法分析,设计了水质代表性指数,含1项一级指标、5项二级指标、12项三级指标,计算表明,调整前全省水质代表性指数得分为69.1分,调整后为88.7分。将调整结果进行论证后再与各市环保主管部门交换意见,取得最终一致后正式实施。