试论地表水采样技术

1.采样的前期准备工作在现今条件下,全面采用自动采样器采集水样是不现实的.大多数情况下仍是采用人工采样的方式进行.现将地表水采样所必备的器具、试剂列于表1.表中所用器具及试剂的规格、长度、数量等,可根据采样点位的多少及采样位置的实际情况而自行确定.对需采集深层水样的,应增     

西藏尼洋河水环境重金属元素水平与风险评估

在西藏尼洋河流域布设13个代表性采样点采集水样,通过现场测试水样的pH值、电导率等指标和实验室分析水样中18种元素含量,并运用综合指数评价法和Pearson相关性分析法对尼洋河水环境质量状况进行评价。结果表明:尼洋河水样的pH值为8.10~8.80,呈碱性至弱碱性;元素含量基本达到《地表水环境质量标准》(GB 3838—2002)Ⅰ类标准要求;除2、3号采样点重金属元素WQI在1~2之间外,其余11个采样点的WQI均1,表明尼洋河水环境质量良好,尚未受到重金属明显影响。     

直颈双口卧式便携水样采集器

设计了一种具有结构简便、操作方便、易于清洗和采样杆可续接的直颈双口卧式便携水样采集器。该采样器不仅适合采集水层很浅水体的水样。也能用于采集江河、湖库水体的水样。     

河流监测断面垂线上分层采样的探讨

本人认为《水和废水监测分析方法》中的采样方法所采集水样的代表性欠佳,尤其在平原水网地区水流缓慢的河流上,根据水流流动的型态,加强河流监测断面垂线上的分层采样,才能使采集的水样更具有代表性.     

气相色谱/质量选择检测器测定水中ppt级硝基苯

水样经树脂(XAD-2、XAD-7)吸附,溶剂洗脱并浓缩,用气相色谱/质量选择检测器测定,对长江某些采样点水样定量分析,含量在ppt级     

浅谈地表水中石油类监测的质量控制

阐述了石油类项目监测过程中水样的采样布点，样品分析的质量保证措施，以及确保石油类监测分析全过程质量控制措施等实践经验．     

水中溶解氧在受振动影响下的保存条件

溶解氧的测定大多采用在现场加碱性碘化钾和硫酸锰(氯化锰)溶液对水样中的溶解氧进行固定后带回实验室进行滴定分析。由于固 定后的水样处于缺氧状态,加之运输工具的颠波震动,造成溶解氧采样瓶瓶塞的松动,从而形成大气对水样的复氧活动,导致水样中的溶     

半渗透膜采样技术监测城市污水处理流程中的难降解有毒有机污染物

应用新型半透膜采样技术（ＳＰＭＤ），监测某城市污水处理流程中８个点污水中两类难降解有毒有机污染物多氯联苯（ＰＣＢ）和多环芳烃（ＰＡＨ），同时同地采集水样，气相色谱质谱联机，选择性离子扫描方式对各ＰＣＢ异构体和ＰＡＨ定性定量。与水样液液萃取相比，ＳＰＭＤ采样技术显著提高了分析的准确度。根据测定的采样器中污染物浓度，推算采样期间该点污水中的平均浓度，与瞬间水样分析结果符合程度较好。半透膜采样方法可用于污水处理工艺流程中多氯联苯和多环芳烃污染物的定性和半定量监测     

污染源加密监测中采样频次的探讨

针对生产周期较长的污染源,确定加密监测的采样频次,应结合污染源废水产生工段的生产周期和废水排污周期等因素,加以综合考虑,用量少监测量,以测量最有代表水样。     

浅层地下水定深取样器的研制

介绍了新型浅层地下水定深取样器的基本结构和工作原理。应用表明，该取样器可准确采集预定深度的水样，且水样可原位直接进入采样瓶，降低交叉污染，减少样品中易挥发组分的损失。     

均权计算及其程序化实现

许多情况下 ,人们最关心一些变化量的总体情况怎么样 ,这就用到均权计算 ,均权计算一些量能更好的反映统计范围的实际情况。文章以环境监测中地表水 2 4项监测结果按水量均权计算年均值为例 ,把均权计算程序化 ,解决了年均值的代表性问题     

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.     

乌鲁木齐地表水饮用水源地水体有机氯农药健康风险评价

为了解乌鲁木齐市地表饮用水源地水体中有机氯农药(OCPs)对人体产生的潜在健康危害风险,从一号冰川、英雄桥、乌拉泊水库的9个采样点采集水样,采用液液萃取-气相色谱/质谱法对其中的有机氯农药残留状况进行了测定,水样中9种有机氯化合物的总质量浓度为15.1 ng/L～41.2 ng/L。应用美国国家环保局(US EPA)推荐的健康风险评价方法,对乌鲁木齐市地表饮用水源地水体中有机氯农药通过食用途径进入人体的危害进行了风险计算和初步评价。结果表明,各监测断面的致癌风险和非致癌风险低于ICRP和USEPA推荐的最大可接受风险水平,初步认为目前乌鲁木齐市地表饮用水源地水体中有机氯农药不会对人体产生明显的健康危害。     

Revising river water quality monitoring networks using discrete entropy theory: the Jajrood River experience

This paper aims at evaluating and revising the spatial and temporal sampling frequencies of the water quality monitoring system of the Jajrood River in the Northern part of Tehran, Iran. This important river system supplies 23% of domestic water demand of the Tehran metropolitan area with population of more than 10 million people. In the proposed methodology, by developing a model for calculating a discrete version of pair-wise spatial information transfer indices (SITIs) for each pair of potential monitoring stations, the pair-wise SITI matrices for all water quality variables are formed. Also, using a similar model, the discrete temporal information transfer indices (TITIs) using the data of the existing monitoring stations are calculated. Then, the curves of the pair-wise SITI versus distance between monitoring stations and TITI versus time lags for all water quality variables are derived. Then, using a group pair-wise comparison matrix, the relative weights of the water quality variables are calculated. In this paper, a micro-genetic-algorithm-based optimization model with the objective of minimizing a weighted average spatial and temporal ITI is developed and for a pre-defined total number of stations, the best combination of monitoring stations is selected. The results show that the existing monitoring system of the Jajrood River should be partially strengthened and in some cases the sampling frequencies should be increased. Based on the results, the proposed approach can be used as an effective tool for evaluating, revising, or redesigning the existing river water quality monitoring systems.     

Modeling trihalomethane formation for Jabal Amman water supply in Jordan

A mathematical model that expresses Total trihalomethane (TTHM) concentration in terms of initial chlorine concentration, total organic carbon, bromide ion concentration, contact time, and pH is developed for Zai water treatment plant which supplies water to Jabal Amman. The developed mathematical model is for constant temperature of 20°C. To adjust model calculated TTHM concentrations for temperatures other than 20°C, another mathematical model that expresses TTHM growth rate as function of temperature is also developed. To test the ability of the two developed models in predicting TTHM concentrations throughout water supplies, a sampling program that aimed at measuring TTHM concentrations in addition to the predictors in the two developed mathematical models namely; chlorine concentration, bromide ion concentration, total organic carbon, temperature and pH throughout Jabal Amman water supply was conducted. The two developed mathematical models and WaterCad, which was used to determine water age, were used to predict TTHM concentrations throughout Jabal Amman water supply. Predicted TTHM concentrations were compared to actual TTHM concentrations measured during the sampling program. Results showed that there is good agreement between measured and, calculated TTHM concentrations, which means that the method presented in this paper, can be used to obtain good estimates of TTHM concentrations throughout networks.     

基于POI数据的河道水质空间分布与相关分析

基于苏州古城区河道14个采样点的水质数据和兴趣点(POI)数据,分析古城河水质与周围POI类型之间的相关性.利用主成分分析计算每个采样点的综合水质指标;基于GIS空间分析技术,计算代表人类干扰强度的POI单类型点密度指数和POI多类型核密度指数;最后运用Pearson相关分析探讨POI数据对水质的影响.结果表明,水质高...     

Relationship Between Micro-Invertebrates and Macrophytes in a Wetland: Laguna Iberá (Corrientes, Argentina). Implications for Water Quality Monitoring

From November 2000 to September 2001, eight points in the Iberá lagoon were sampled bimonthly. At each point, pH, temperature and dissolved oxygen were measured and invertebrates were collected from the water around macrophytes by mean of a net of 180 μ m pore size. Four biotic indices were calculated and compared, given similar trends. The total number of taxa shows to be a good and simple indicator of water quality. Averaging indices across points we obtained a good positive correlation between indices and temperature. In this ecosystem, multi-habitat sampling must be used in order to obtain a good estimation of ecological integrity. The total number of taxa can be used for water quality assessment.     

Use of in vivo phycocyanin fluorescence to monitor potential microcystin-producing cyanobacterial biovolume in a drinking water source

The source water of a drinking water treatment plant prone to blooms, dominated by potential microcystin-producing cyanobacteria, was monitored for two seasons in 2007-2008. In the 2008 season, the median value for potential microcystin-producing cyanobacterial biovolume was 87% of the total phytoplankton biovolume in the untreated water of the plant. Depth profiles taken above the plant's intake identified three sampling days at high risk for the contamination of the plant's raw water with potentially toxic cyanobacteria. Chlorophyceae and Bacillariophyceae caused false positive values to be generated by the phycocyanin probe when cyanobacteria represented a small fraction of the total phytoplanktonic biovolume present. However, there was little interference with the phycocyanin probe readings by other algal species when potential microcystin-producing cyanobacteria dominated the phytoplankton of the plant's untreated water. A two-tiered method for source water monitoring, using in vivo phycocyanin fluorescence, is proposed based on (1) a significant relationship between in vivo phycocyanin fluorescence and cyanobacterial biovolume and (2) the calculated maximum potential microcystin concentration produced by dominant Microcystis sp. biovolume. This method monitors locally-generated threshold values for cyanobacterial biovolume and microcystin concentrations using in vivo phycocyanin fluorescence.     

美国EPA地表水质监测与评估的点位设计介绍

介绍了美国EPA地表水质监测与评估的点位设计。首先,指导性文件《基本水质监测方案》中的环境监测计划要求建立1个不少于1 000个点位的国家地表水质环境监测网,并提出了点位设计的标准,包括4点基本要求和针对每一类水域的具体要求。其次,另一指导性文件《准备州综合水质评估(305b报告)和电子升级:报告内容的准则》提出了1种新的对水质的综合性评估技术,要求在传统的判断点位设计的基础上增加概率统计点位设计方法。最后,全国一致的概率统计点位设计是相当有效的获知全国范围的水质情况及变化趋势的方法,EPA完全支持通过这种概率统计点位设计的方法来评估更多的水质状况。概率统计点位设计是EPA地表水质监测与评估的点位设计的发展趋势。     

Detection of seasonal variations in surface water quality using discriminant analysis

In the study, discriminant analysis (DA) was applied to water quality data set monitored in winter and summer months along 3 years to investigate seasonal variations of Tahtali Reservoir water quality. The variables were divided into two categories as “parameters naturally found in surface waters—Al, Fe, Mn, F, Ba, Cl, and SO₄” and “pollutants—biochemical oxygen demand, chemical oxygen demand, and NO₃”. Linear discriminant functions were calculated to distinguish between winter and summer samples. Results revealed that water quality variables (naturally found in surface water and also pollutants) were distinctly different between two seasons. Seasonal changes of water quality caused by anthropogenic activities should be taken into consideration by the water managers especially in summer seasons in which higher concentrations were observed. The study showed that DA can be applied successfully to establish the seasonal variation in surface water quality and make it possible to design a future temporal sampling strategy in an optimal manner.