长江南京段水质自动监测点位优化

简述了长江南京段监测断面现状，用相关分析与聚类分析方法对水质监测数据进行了统计分析，对长江南京段水质自动监测优化布点提出了相关建议。     

我国城市噪声污染现状与特征

通过对8个大城市功能区噪声监测数据的分析,阐述了我国城市噪声主要污染区域、主要超标时段、噪声时间分布及季度变化等特征,为管理部门制定噪声防治政策提供参考.     

榆林市噪声监测昼夜等效声级聚类分析

本文应用环境统计学系统聚类分析法,对榆林市噪声监测数据进行分析检验.指出噪声监测在布点及数据获取方面的合理性.并阐明榆林市噪声的年变化规律.提出优化布点方案.为今后榆林市噪声监测和环境质量宏观控制等提供科学依据.     

大样本水环境监测数据中异常数据的筛选方法研究

在对较长时间跨度内的大样本水环境监测数据进行具体分析的基础上,提出了在水环境中污染物组分变化不大的区域,运用散点分布边界特征曲线,结合计算机程序对大样本水环境监测数据中的异常数据进行筛选的方法。以期能在保证工作质量的基础上节省大样本监测数据中异常数据筛选所需时间,并为监测数据合理性分析方法的规范化、科学化奠定基础。     

乌鲁木齐市采暖锅炉烟尘初始排放情况浅析

根据近几年的监测数据,对乌鲁木齐市采暖锅炉烟尘初始排放情况进行分析,并对其超标排放的原因提出了见解。     

绵阳市城区空气优化布点的模糊聚类分析

本文用规划网格高密度布点,通过一年的硫酸盐化速率的监测数据,进行模糊聚类分析。从而对绵阳市的空气监测点位进行优化,得到采样点位的最佳位置分布。通过检验,证明其技术路线是可行的。     

新《大气污染防治法》施行,环境监测数据面临考验

新修订的《中华人民共和国大气污染防治法》确立了超标排污违法的法律地位 ,监测数据将作为实施环境行政处罚的依据。文章从行政处罚、行政复议和行政诉讼三个方面 ,阐述了确保监测数据权威性的重要意义 ;介绍了对废气污染源排放进行监测所存在的问题 ,提出了确保监测数据权威性的建议 ,为环境行政处罚顺利实施提供准确的法律依据。     

环境监测超标数据的审核确认

环境监测数据审核是环境分析质量保证工作的一个重要环节,此项工作对监测数据是否准确可靠有一定影响。简述了环境监测超标数据审核确认的必要性以及超标数据的审核确认方式,针对目前存在的监测指标定性定量不准确、标准物质存在衰减状况、评价标准选择不准确等问题,提出,监测部门对于超标数据必须严格审核和把关,确保监测数据的真实性和准确性,真正服务于环境执法和环境管理。     

国家大气环境监测优化布点的研究(一)——选站原则及国控站数目的确定

我国尚未开展过区域性监测网的设计工作。国外,对空气监测网设计的密度及选点工作日益受到重视,但对于大区域的监测数据,一般时空相关性较差,而呈现的随机性较明显,另外,目前还没有恰当的中远距离的大气扩散模式。 本文针对国内外大气环境监测布点工作的情况和问题,通过对全国大气监测资料及社会经济、自然环境等情况进行综合分析,并考虑了监测数据的随机性质,进而采用超标率估计与控制浓度均值相结合的方法确定国控测站数目。经优化确定的国控测站为68个,统计分析表明,可以满足全国大气环境质量信息的要求,达到90％的概率保证。     

烟道气中二氧化硫监测质量控制探讨

通过对碘量法测定烟道气中二氧化硫在布点,采样,样品保存等方面的分析,找出了二氧化硫监测结果产生误差的原因,提出了改进方法,进而提高监测数据的准确性和可靠性。     

Critical Sampling Points Methodology: Case Studies of Geographically Diverse Watersheds

Only with a properly designed water quality monitoring network can data be collected that can lead to accurate information extraction. One of the main components of water quality monitoring network design is the allocation of sampling locations. For this purpose, a design methodology, called critical sampling points (CSP), has been developed for the determination of the critical sampling locations in small, rural watersheds with regard to total phosphorus (TP) load pollution. It considers hydrologic, topographic, soil, vegetative, and land use factors. The objective of the monitoring network design in this methodology is to identify the stream locations which receive the greatest TP loads from the upstream portions of a watershed. The CSP methodology has been translated into a model, called water quality monitoring station analysis (WQMSA), which integrates a geographic information system (GIS) for the handling of the spatial aspect of the data, a hydrologic/water quality simulation model for TP load estimation, and fuzzy logic for improved input data representation. In addition, the methodology was purposely designed to be useful in diverse rural watersheds, independent of geographic location. Three watershed case studies in Pennsylvania, Amazonian Ecuador, and central Chile were examined. Each case study offered a different degree of data availability. It was demonstrated that the developed methodology could be successfully used in all three case studies. The case studies suggest that the CSP methodology, in form of the WQMSA model, has potential in applications world-wide.     

地表水自动与常规监测评价结果一致性对比分析

选择分布在不同流域的15个与自动监测站位置一致性较好的断面,对其进行为期1年的“同时同点位”对比监测。分析数据发现:由于采样时间和位置的偏差,自动监测月均值与常规手工监测数据的可比性并不理想。采用以下4种方法评价水质:自动5项、手动5项、手动21项、自动5项+手动16项。比较第1和第2种方法,水质评价类别相同与变化一类(发生一个水质类别变化)的占比之和在85%左右;比较第1和第3种方法,类别相同与变化一类的占比之和在80%左右;比较第3和第4种方法,类别相同与变化一类的占比之和接近90%,因此该组合是更合理的地表水水质评价方法。     

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.     

Spatial�Ctemporal assessment and redesign of groundwater quality monitoring network: a case study

Assessment of groundwater quality monitoring networks requires methods to determine the potential efficiency and cost-effectiveness of the current monitoring programs. To this end, the concept of entropy has been considered as a promising method in previous studies since it quantitatively measures the information produced by a network. In this study, the measure of transinformation in the discrete entropy theory and the transinformation?Cdistance (T?CD) curves, which are used frequently by other researchers, are used to quantify the efficiency of a monitoring network. This paper introduces a new approach to decrease dispersion in results by performing cluster analysis that uses fuzzy equivalence relations. As a result, the sampling (temporal) frequency determination method also recommends the future sampling frequencies for each location based on certain criteria such as direction, magnitude, correlation with neighboring stations, and uncertainty of the concentration trend derived from representative historical concentration data. The proposed methodology is applied to groundwater resources in the Tehran?CKaradj aquifer, Tehran, Iran.     

烟气林格曼数监测新探

讨论了烟气格曼数与监测时间选择和计算取值方面存在的问题。认为在一个加煤燃烧周期内按一定间隔时间取值，然后取量大值与平均值之和和１／２作为监测结果有一定意义。并提出了一个表达方式，时时－林格曼数Ｂ＝１／ＴΣ（ｎ，ｉ＝１）。     

烟气中SO_2监测质量控制的研究

本文针对烟气中ＳＯ２手工采样监测的质量控制,如采样管的温度、采样流量、样品保存等进行了研究,并对原监测方法提出改进措施,提高了方法的准确度和精密度,从而保证了监测数据的准确性和可靠性。     

对大气采样误差的理论研究

环境监测数据是环境保护工作的基础,监测仪器设备的精良及监测方法的科学性则是获得优质数据的保障工具.本文运用数学方法对目前广泛使用的采样仪器进行了采样误差的分析研究,指出了改善仪器和改善监测方法去获取更精确数据的途径.     

Statistical determination of the optimal sample size of secondary effluent BOD5 and SS

A statistical technique is presented for determining the optimal sample size required to estimate the true geometric mean with an allowable error at a desired level of confidence. Attention is focused on its application in the monitoring of secondary effluent BOD₅ and SS. It is concluded that continuous monitoring of effluent BOD₅ or SS throughout the year may generate much more data than are required for practical purposes. This statistical method may be used by operators or regulatory agencies to formulate cost-effective monitoring schemes. Records of the sample size data of secondary effluent BOD₅ and SS across Canada are also discussed.     

地下水采样方法比对研究

选取3种地下水采样方法开展方法比对研究。通过系统分析监测数据,指出了3种方法所采水样在基本水质参数、无机离子、金属、挥发性有机物以及感官类指标等项目监测上的显著差异,指出了各种方法的适用性并分析原因。结果表明:与贝勒管法、潜水泵法相比,低流速法有效地解决了采样操作过程中易产生的曝气问题;对井内水体扰动较小,降低了水样浊度;减小了井内水位的大幅度泄降,避免了不同层位间污染物的迁移及周边水和井内滞水的交叉污染;节约了场地操作时间和后期污水处理所需花费。因此,低流速法在采取代表性水质样品方面更具方法优势。     

Groundwater monitoring plans at small-scale sites--an innovative spatial and temporal methodology

An innovative methodology for improving existing groundwater monitoring plans at small-scale sites is presented. The methodology consists of three stand-alone methods: a spatial redundancy reduction method, a well-siting method for adding new sampling locations, and a sampling frequency determination method. The spatial redundancy reduction method eliminates redundant wells through an optimization process that minimizes the errors in plume delineation and the average plume concentration estimation. The well-siting method locates possible new sampling points for an inadequately delineated plume via regression analysis of plume centerline concentrations and estimation of plume dispersivity values. The sampling frequency determination method recommends the future frequency of sampling for each sampling location based on the direction, magnitude, and uncertainty of the concentration trend derived from representative historical concentration data. Although the methodology is designed for small-scale sites, it can be easily adopted for large-scale site applications. The proposed methodology is applied to a small petroleum hydrocarbon-contaminated site with a network of 12 monitoring wells to demonstrate its effectiveness and validity.