我国河流水质评价污染因子选择方案探讨

在选用综合污染指数法进行地表水水质评价时 ,由于污染因子选择不尽一致 ,造成地表水水质评价结果不具有可比性。为了使地表水评价结果具有可比性 ,必须选择相对固定的评价因子。笔者对我国七大流域 1 990～ 2 0 0 1年水质监测数据进行了全面分析 ,提出了能够反映我国河流污染现状的污染因子选择方案。     

Statistical analyses of coastal water quality for a port and harbour region in India

A long-term study of temperature, pH, turbidity, suspended solid, salinity, dissolved oxygen, biochemical oxygen demand and ammonia nitrogen has been performed in a port and harbour region in India for four years from December 1996 to November 2000. Marine water quality results showed no regular trend. The mean monthly values of temperature, pH, turbidity, suspended solid, salinity, dissolved oxygen, biochemical oxygen demand and ammonia nitrogen were in the range of 22.64 ± 0.4 to 29.05 ± 1.37 °C; 7.65 ± 0.04 to 7.81 ± 0.13; 28.8 ± 14.7 to 64.2 ± 32.0 NTU; 283.5 ± 81.8 to 356.0 ± 159.7 mg/L; 29.78 ± 7.18 to 29.78 ± 1.04 ppt; 4.67 ± 0.50 to 6.01 ± 1.02 mg/L; 5.41 ± 1.92 to 7.56 ± 2.1 mg/L; and 0.25 ± 0.07 to 0.63 ± 0.49 mg/L, respectively. The results of correlation analysis showed that biochemical oxygen demand (BOD) was inversely correlated dissolved oxygen (DO) and poorly correlated with all other parameters. Turbidity and suspended solid were moderately correlated with each other while salinity was moderately correlated with other water quality parameters. In factor analysis, four factors were drawn out of the eight variables, which represented 74% of the variance of the original data. Factor I was related to suspended solid and turbidity. Factor II represented mainly temperature and DO showing inverse relation between these two. Factor III implied the degree of pollution at any monitoring station. Factor IV included pH and salinity. It could be concluded that the factor model represented almost all the variables.     

用活性污染指数法评价微污染水体的环境质量

针对水环境质量的均值污染指数评价方法的缺点,提出了利用活性污染指数法来评价微污染水体环境质量。随后在实例中对此方法进行了运用,并与均值污染指数法进行了比较,效果不错。     

洋河下游农灌区农作物受灾与水质污染的关系

根据情况调查设计严密而合乎逻辑的监测方案：在农灌水质标准缺乏的情况下,根据监测数据和有关资料找出致害污染物;对本次监测数据和历年常规监测数据进行分析,确定污染源;最后提出防治污染的对策。结论是致死污染物为阿特拉津和乙草胺．而高锰酸盐指数、ｐＨ和悬浮物的超标是致害的重要有关因素;致害污染物主要来源了宣化区废水;严格监控农药厂废水、兴建污水处理厂和改善农灌措施是防治污染的途径。后来的事实完全证实了本结论和对策的正确性。     

清河流域水质目标管理技术应用示范

针对清河流域三级水生态功能分区功能定位和水质保护目标,按照"分类、分区、分级、分期"理念,应用流域水质目标管理技术方法,研究清河流域控制单元污染负荷核定、水环境容量计算与分配、污染负荷削减、污染物总量控制等关键技术应用示范,完善流域水质目标管理技术,为清河流域水环境管理提供科技支撑。     

闽江流域福州过境段水体病毒污染调查分析

自1998年11月至2000年4月,监测了闽江福州段病毒污染与水质状况。肠道病毒阳性率71 1%,平均病毒浓度5 33pfu L,植物病毒检出率32 2%,阳性率水样平均浓度0 3006枯斑 升,其中三个污染控制断面肠道内病毒阳性检出率及病毒浓度显著高于对照和消减断面,揭示闽江福州段水环境病毒污染水平同福州市内河生活污水排放有直接关系,而引水内河冲污工程的实施显然又加剧了闽江水病毒污染的程度,增加了饮用水的卫生微生物学危险性。而水体环境中的植物病毒对农业生产存在着潜在的威胁。     

内陆水环境污染监测的多时相遥感信息模型

介绍了遥感水质监测的基本原理,对遥感技术在水质监测领域的国内外发展现状进行了归纳分析,并论述了建立多时相、通用型内陆水环境污染遥感监测模型的可行性,最后以湘江长沙段为研究区域,创建了适用于DO、CODCr、CODMn、BOD和TN的水污染遥感因子和相应的多时相遥感信息模型。     

水中硫化物突发性污染事故应急监测方法研究

水中硫化物不稳定,最好是现场即时测定。本文旨在研究现场快速测定水中的硫化物。本研究运用比色分析的朗伯-比尔定律和真空工艺设计,将复杂繁琐的实验室测试方法和操作程序有机的融合在测试管中。该测试管具有快速、简便和价格低廉等特点,测定范围0.1～10mg/L。     

安徽省淮河流域水污染分析与环境目标可达性探讨

介绍了安徽省淮河流域水污染的历史与现状,分析了淮河流域水污染的特点,对实现《淮河流域水污染防治“十五”计划》的可能性进行了探讨。     

基于SPSS软件分析上海市金山区地表水污染特征

运用SPSS统计分析软件全面分析2006-2010年上海市金山区26个地表水监测断面上的水质变化趋势过程,发现大部分断面超标污染物之间存在着高度相关性,且水质越差的监测断面上超标污染物指标间有显著意义相关性项目越多.在此基础上,根据研究样本基本满足因子分析要求的特点,进一步运用SPSS软件进行深入分析,并根据因子综合得分,对地表水域进行聚类,揭示出上海市金山区地表水超标污染物构成特征与水域分类.分类结果符合区域内河流污染分布实际,可作为环境管理部门实施水环境综合整治与水质规划管理的重要参考.     

Determination of heavy metal pollution with environmental physicochemical parameters in waste water of Kocabas Stream (Biga, Canakkale, Turkey) by ICP-AES

Waste water pollution of industrial areas can answer for the serious consequences of one of the most important environmental threats to the future. In this study, inductively coupled plasma-atomic emission spectrometry method (ICP-AES) is proposed to determine heavy metals (Pb, Cu, Cd, Cr, Zn, Al, Fe, Ni, Co, Mn) and major elements (Ca, Mg) in waste water of Kocabas Stream. The concentration of metals in the waste water samples taken from 9 different stations (St.) in Biga-Kocabas Stream in November 2004 (autumn period) were determined after simple pretreatment of samples by the proposed ICP-AES method. An analysis of a given sample is completed in about 15 min for ICP-AES the method. The results of heavy metals concentrations in waste water were found between 0.00001–77.69610 mg l⁻¹ by the ICP-AES technique. The concentrations of Pb, Cd, Cu, Zn, Cr, Al, Fe, Mn, Ni, Co, Mg and Ca 0.00001 (St.3,6,7) – 0.0087 mg l⁻¹ (St.9), 0.00001 (St.4-7) – 0.0020 mg l⁻¹ (St.8), 0.00001 (St.1,3-7,9) – 0.0041 mg l⁻¹ (St.2), 0.0620 (St.2) – 0.2080 mg l⁻¹ (St.3), 0.0082 (St.6) – 0.2290 mg l⁻¹ (St.8), 0.3580 (St.2) – 1.7400 mg l⁻¹ (St.3), 0.2240 (St.1) – 0.6790 mg l⁻¹ (St.3), 0.0080 (St.1) – 1.5840 mg l⁻¹ (St.3), 0.0170 (St.3) – 0.0640 mg l⁻¹ (St.2), 0.0010 (St.1,4,5,8) – 0.0080 mg l⁻¹ (St.3), 5.0640 (St.9) – 5.2140 mg l⁻¹ (St.1) and 43.3600 (St.2) – 77.6961 mg l⁻¹ (St.9), respectively. Also we measured environmental physicochemical parameters such as temperature, salinity, specific conductivity, total dissolved solid (TDS), pH, oxidation and reduction potential (ORP), and dissolved oxygen (DO) in the waste water at sampling stations.