全国近岸海域水质基本保持稳定 《2016中国近岸海域环境质量公报》发布

正由环境保护部、农业部、交通运输部共同编写的《2016中国近岸海域环境质量公报》(以下简称《公报》)近日由环境保护部统一发布。《公报》显示,2016年,全国近岸海域总体水质基本保持稳定,水质级别为一般。监测结果表明,2016年,全国近岸海域优良点位(一、二类)比例为73.4%,水质级别为一般,水质基本保持稳定,主要     

海南省省控土壤环境监测基础点位布设思路与方法

为满足新时期土壤污染防治管理要求，掌握海南省土壤环境质量状况及变化趋势，海南省亟需加强省控土壤环境监测基础点位布设，完善土壤环境监测网。通过梳理海南省土壤环境监测工作基础和监测网络构建情况，形成了省控基础点位布设思路、原则和方法，并应用GIS技术完成点位布设。海南省省控土壤环境监测基础点位基本覆盖了海南省农用地主要土壤类型和成土母岩，监测结果可以反映海南省农用地土壤环境质量整体状况。     

近岸海域国控环境质量监测点位优化研究

近岸海域环境监测是掌握其环境质量状况,摸清污染来源和影响范围的必要手段。监测点位是环境监测的基础,监测点位优化是提高环境监测代表性的必要手段。按照《近岸海域环境监测点位布设技术规范》(HJ 730—2014)的要求,梳理了点位优化工作的基本流程,经过试优化,预计在全国将增设122个国控监测点位。其中,76个在原有监测点位中选择增设,46个按照规范要求新设。利用2013年监测结果进行插值分析,调整前后水质总体变化小,未出现颠覆性结论,同时提高了对陆源影响区域水质的监控能力。     

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。     

泸州市降水监测布点优化研究

在泸州市2016—2020年大气降水监测数据的基础上，借助聚类分析、多元方差分析等统计分析手段，对原有降水监测点位进行优化研究，并验证优化结果。在遵循《酸沉降监测技术规范》(HJ/T 165—2004)点位布设要求的前提下，建立了降水监测点位评价体系，从原有7个降水监测点位中优化筛选出3个。优化后的点位对监测结果的影响显著性均>0.05,表明优化前后全市降水数据无显著性差异，该优化方案不会影响区域整体代表性。     

我国例行酸雨监测网点位设置探讨

回顾了我国酸雨监测点位设置的有关规范,讨论了目前我国例行酸雨监测网络点位设置存在的问题,并对未来例行酸雨监测网络点位设置提出了建议.     

有关噪声仲裁监测中的点位布设

噪声扰民时有发生 ,提供真实可靠的噪声情况就显得尤为重要。为此 ,对噪声仲裁监测过程中点位布设的问题提出一些看法 ,供参考。( 1 )在边界噪声仲裁监测中 ,必要时应同时对被测量对象的主要噪声源和边界外的噪声敏感点分别布点 ,实施同步测量。工作中常常遇到这样情况 ,在监测时 ,经营者有时会对噪声源进行调整 ,以减少噪声。这时若不进行同步测量 ,所测结果往往难以反映实际情况。图 1为对某迪吧监测时 ,应在噪声源ｂ处和界外 1ｍａ处布点进行同步监测 ,并记录当时的工况(包括开几个音箱、音量开至何处等 )。在监测报告中应说明边界噪声是…     

土壤环境监测基础点位布设思路与方法

为适应新形势下土壤环境保护工作重点任务和要求,"十三五"期间,中国亟需构建布局合理、功能完备的土壤环境监测网,确定国控监测点位,以说清全国土壤环境质量整体状况、潜在风险状况及变化趋势。通过梳理欧美等发达国家和地区的做法和经验,针对国内土壤环境的实际情况,开展布点尺度和点位优化方法研究,提出了国家尺度上适宜布点尺度,建立了统一的历史点位优化筛选规则,在此基础上,形成了点位的布设思路、原则和方法,并给出了阶段性的布设结果,最后提出了后续进一步完善的方向。     

环境空气质量自动监测系统质量保证工作的探索

根据全国多个省市的环境空气自动监测质量保证工作的经验和做法,结合乌鲁木齐市环境空气自动监测质量保证工作实际情况,对点位设置要求、制度体系建立、仪器质量控制难点、数据审核与研判等环境空气自动监测质量保证工作的关键环节进行探索,为加强环境空气自动监测质量保证体系提供参考依据.     

环境监测中确定最佳点位的关键技术

环境监测网络设计的关键问题是确定最佳的环境监测点位 ,而最优的监测点位必须既能代表所在区域环境质量的平均水平 ,又能反映该区域环境质量的变化状况。为此提出一个兼容样本贴近与相似程度的统计量——近似度 ,不仅在理论上证明了其合理性 ,而且在厦门的应用中得到满意的结果 ,从而解决了如何确定环境监测中最佳点位的问题     

中国流域水环境生物监测体系构成和发展

分析了国外水环境生物监测体系的构成和特点;总结了中国生物监测的发展历程、基础、存在问题和发展需求;提出了体系发展的总体发展目标,即以流域为单元,以各级支流为监测区段,发展以实现流域水环境生态完整性评价为目的的综合监测体系;同时,着重介绍了重点发展内容:建立以市级站为核心的监测网络;建立包含4个板块的核心业务监测能力;开展生物监测业务标准化建设;进一步完善水环境质量评价报告。对全国监测系统生物监测体系的构成和发展提出建议:在总体发展目标指导下,完成构建水环境生物监测技术体系、构建全国水环境生物监测网络体系、建立数据管理与评价平台及建立运行保障体系4个分目标,实现中国环境管理以"污染防治"为重点到以"生态健康"为目的的转折。     

Report on EU guidance on groundwater monitoring developed under the common implementation strategy of the water framework directive

The establishment of high quality long-term monitoring programmes is essential if the implementation of the Water Framework Directive (WFD) is to be effective. It is recognised that monitoring can be very expensive and so guidance is needed to establish cost-effective, risk-based and targeted groundwater monitoring across Europe that enables WFD objectives to be met. In this context, the Groundwater Working Group (WGC) of the Common Implementation Strategy (CIS) of the WFD has developed recommendations aiming to implement consistent groundwater monitoring across Europe. This has been published on the internet in the form of a non-legally binding guidance document, which provides useful elements for the development and maintenance of networks at high standards and thereby provide the necessary information to assess (ground)water status, identify trends in pollutant concentrations, support establishment and assessment of programmes of measures and the effective targeting of economic resources. This paper presents this guidance document.     

国家地表水环境质量评价、分析与表征系统初步构建

随着国家地表水环境质量监测网络的优化调整以及水质自动监测与采测分离手工监测相结合模式的完全确立,每个月产生数百万计的监测数据。为全面支撑海量监测数据的传输、融合、处理、挖掘、分析、表征,构建了国家地表水环境质量评价、分析与表征系统。通过在多源异构数据融合、智能化数据质量控制、多层级水质评价与统计分析、地图动态数据表征等方面的技术创新,构建了包括数据来源层、数据存储层、应用支撑层、业务应用层和表征展示层5个主要部分的系统。形成了"一个融合、两个数据库、三个应用、四个中心",实现了数据集成融合、数据共享互通、数据统计分析、水质报告生成、地图空间表征、综合大屏展示等6个方面主要功能。应用于国家地表水环境监测评价业务工作,能够及时、直观、准确、全面地展现全国地表水环境质量状况,为全国地表水环境质量管理决策、业务处理、科学研究提供有效的信息支撑。     

Siting analyses for water quality sampling in a catchment

Pollution loads discharged from upstream development or human activities significantly degrade the water quality of a reservoir. The design of an appropriate water quality sampling network is therefore important for detecting potential pollution events and monitoring pollution trends. However, under a limited budgetary constraint, how to site an appropriate number of sampling stations is a challenging task. A previous study proposed a method applying the simulated annealing algorithm to design the sampling network based on three cost factors including the number of reaches, bank length, and subcatchment area. However, these factors are not directly related to the distribution of possible pollution. Thus, this study modified the method by considering three additional factors, i.e. total phosphorus, nitrogen, and sediment loads. The larger the possible load, the higher the probability of a pollution event may occur. The study area was the Derchi reservoir catchment in Taiwan. Pollution loads were derived from the AGNPS model with rainfall intensity estimated using the Thiessen method. Analyses for a network with various numbers of sampling sites were implemented. The results obtained based on varied cost factors were compared and discussed. With the three additional factors, the chosen sampling network is expected to properly detect pollution events and monitor pollution distribution and temporal trends.     

Design of on-line river water quality monitoring systems using the entropy theory: a case study

The design of a water quality monitoring network is considered as the main component of water quality management including selection of the water quality variables, location of sampling stations and determination of sampling frequencies. In this study, an entropy-based approach is presented for design of an on-line water quality monitoring network for the Karoon River, which is the largest and the most important river in Iran. In the proposed algorithm of design, the number and location of sampling sites and sampling frequencies are determined by minimizing the redundant information, which is quantified using the entropy theory. A water quality simulation model is also used to generate the time series of the concentration of water quality variables at some potential sites along the river. As several water quality variables are usually considered in the design of water quality monitoring networks, the pair-wise comparison is used to combine the spatial and temporal frequencies calculated for each water quality variable. After selecting the sampling frequencies, different components of a comprehensive monitoring system such as data acquisition, transmission and processing are designed for the study area, and technical characteristics of the on-line and off-line monitoring equipment are presented. Finally, the assessment for the human resources needs, as well as training and quality assurance programs are presented considering the existing resources in the study area. The results show that the proposed approach can be effectively used for the optimal design of the river monitoring systems.     

国家水环境质量监测网络发展历程与展望

阐述了水环境质量监测的定义和目的，介绍了构成国家水环境质量监测网络的6个子网，即地表水环境质量监测网、地表水环境质量自动监测网、地下水环境质量监测网、饮用水源地环境质量监测网、水污染防治专项规划水体环境质量监测网和锰三角地区水环境质量监测网的发展历程与现状。指出了目前该网络存在的不足，提出建立水环境质量监测网络设计技术体系、扩大监测网覆盖面、扩展监测项目等建议。     

我国流域水生态完整性评价方法构建

流域水生态完整性评价是指通过对水生态系统中不同水生态指标(生物和非生物)的监测以及由数学方法综合形成的综合评价指数,来反映水生态系统完整性状况。近年来,世界各国水环境管理政策发生了变化,开始强调生态保护,重视水体的生态质量。中国现行的常规理化监测指标(如COD、氨氮、BOD5)很难满足水环境管理的需求,难以全面准确地反映水环境质量变化的趋势。因此,在借鉴欧美发达国家流域水生态完整性评价方法的基础上,结合中国目前监测现状以及流域水环境管理需求,构建了包括物理生境指标、理化指标、水生生物指标在内的流域水生态完整性监测与评价方法,以期为中国流域水质目标管理技术体系的业务化运行提供可资借鉴的技术支撑,实现从单一的化学指标监测转向综合的水生态系统监测,实现流域水生态完整性的监测与评价。     

A water quality monitoring network design methodology for the selection of critical sampling points: Part II

In order to resolve the spatial component of the design of a water quality monitoring network, a methodology has been developed to identify the critical sampling locations within a watershed. This methodology, called Critical Sampling Points (CSP), focuses on the contaminant total phosphorus (TP), and is applicable to small, predominantly agricultural-forested watersheds. The CSP methodology was translated into a model, called Water Quality Monitoring Station Analysis (WQMSA). It incorporates a geographic information system (GIS) for spatial analysis and data manipulation purposes, a hydrologic/water quality simulation model for estimating TP loads, and an artificial intelligence technology for improved input data representation. The model input data include a number of hydrologic, topographic, soils, vegetative, and land use factors. The model also includes an economic and logistics component. The validity of the CSP methodology was tested on a small experimental Pennsylvanian watershed, for which TP data from a number of single storm events were available for various sampling points within the watershed. A comparison of the ratios of observed to predicted TP loads between sampling points revealed that the model's results were promising.     

A Water Quality Monitoring Network Design Methodology for the Selection of Critical Sampling Points: Part I

The principal instrument to temporally and spatially manage water resources is a water quality monitoring network. However, to date in most cases, there is a clear absence of a concise strategy or methodology for designing monitoring networks, especially when deciding upon the placement of sampling stations. Since water quality monitoring networks can be quite costly, it is very important to properly design the monitoring network so that maximum information extraction can be accomplished, which in turn is vital when informing decision-makers. This paper presents the development of a methodology for identifying the critical sampling locations within a watershed. Hence, it embodies the spatial component in the design of a water quality monitoring network by designating the critical stream locations that should ideally be sampled. For illustration purposes, the methodology focuses on a single contaminant, namely total phosphorus, and is applicable to small, upland, predominantly agricultural-forested watersheds. It takes a number of hydrologic, topographic, soils, vegetative, and land use factors into account. In addition, it includes an economic as well as logistical component in order to approximate the number of sampling points required for a given budget and to only consider the logistically accessible stream reaches in the analysis, respectively. The methodology utilizes a geographic information system (GIS), hydrologic simulation model, and fuzzy logic.