淄博田庄水库水质分布特征与富营养化评价

根据田庄水库的自然地理和水文特征，作者选择7个监测点，定量监测了水库和入库河段的水质分布特征，并采用卡森水质营养状态指数法和特里指数法对水库富营养化情况进行综合评价。研究结果表明，在所有监测点中NH4^＋-N、TN、TP均严重超标，田庄水库现状水体已经达到轻度富营养化水平；从入库、库区至出库的表层水体中，TP的浓度逐渐降低；除DO外，在水库的垂直剖面上，其他指标浓度随深度的增加呈增加的趋势。     

紫坪铺水库水质及水体富营养化状况分析

为了探究紫坪铺水库水质情况和富营养化状态变化情况,于2012年1月至2016年12月每月对水库四个监测点位进行采样分析,基于《地表水环境质量标准》(GB3838—2002)水质评价、综合营养状态指数(TLI)等方法,分析水质情况和水体富营养化的时间和空间变化情况。结果表明:①年平均水质指标中:溶解氧、高锰酸盐指数、五日生化需氧量、氨氮主要为Ⅰ类、Ⅱ类水质,总氮为Ⅲ类水质,总磷除2016年为Ⅳ类水质外其余年份均为Ⅲ类水质;②TLI年均值主要呈逐年升高趋势,但最高值为29.63;③TLI值空间分布特征为:库头﹥入湖库口﹥库中﹥库尾,时间分布特征为:5月、6月、7月、8月﹥1月、2月、3月、4月、9月﹥10月、11月、12月(丰水期﹥平水期﹥枯水期)。研究显示,紫坪铺水库水质整体主要处于湖库地表水Ⅲ类水质和贫营养化状态。     

新建水库初期磷氮变化的动态模拟研究

本文首先建立磷氮时空分布模型并确定模型参数的率定方法。文章模拟了新建清平水库建库初期磷氮变化情况,得出由不稳定到稳定的过程。水库磷氮时空变化的模拟结果表明,空间分布是从库尾到大坝浓度逐渐递砬,时间分布是一年中Ｐ,Ｎ浓度七月份最高,年初年末最低,其分布央线类似高斯分布。     

基于ISM和ANP的水库水华发生影响因素分析

为提高水库水华发生预警能力,从水华形成机理着手,引入营养盐条件、水动力条件、光热条件和浮游植物生长状况,建立水库水华发生影响因素模型。首先,基于文献研究,建立水库水华发生影响因素体系,共包含10个指标;其次,利用解释结构模型(ISM)建立水库水华发生影响因素递阶结构模型;最后采用网络层次分析法(ANP)构建权重模型,并借助Super Decision(SD)软件求解。结果表明:叶绿素a浓度、悬浮物浓度、磷浓度、氮浓度、铁等微量盐浓度、水流流速、温度和溶解氧为表层直接影响因素,光照和风速为深层根本影响因素;重要度排序为:叶绿素a浓度、悬浮物浓度、磷浓度、水流流速、氮浓度和溶解氧。     

旅游活动对四川升钟水库水质的干扰度研究

运用TADI指数研究升钟水库的旅游活动对水体环境的影响,比较了旅游活动中各个环节对水体的影响程度,指数越大,对水质影响越大。结果表明：升钟水库景区旅游人均TN、TP污染物排放量分别为3.57g／d、0.59g／d,升钟水库景区7类旅游接待设施综合干扰指数排序为：住宿类渔家乐T1〉渔家乐餐厅T2〉酒店T3〉餐馆T4〉摊贩T4〉公厕T7〉博物馆T6,住宿类型渔家乐（T1）对水质干扰最大,属高度干扰型;博物馆（T6）对水质干扰最小,属低度干扰型。不同的食宿组合方式中,渔家乐住宿餐饮型的TADI指数最大,对水质的干扰最强,仅在餐馆就餐则TADI指数为最小,对水质干扰也最弱。     

黑龙滩水库生态环境及水体富营养化研究

本文以黑龙滩水库１９８９－１９９１年水质实测资料为依据，采用综合污染指数法对水库水质进行了定量分析，同时用卡森指数对水库富营养化程度进行产评价。针对库区特点及周围污染源排放现状，分析了水库水质受到的潜在威胁，提出了水源保护的措施及对策。     

四川升钟水库水质评价及污染负荷分析

选取高锰酸盐指数（CODMn）、五日生化需氧量（BOD5）、总氮（TN）、总磷（TP）4项监测指标，采用单因干评价法、综合污染指数法、内梅罗污染指数法、模糊综合评价法及水质标识指数法对升钟水库2004～2010年水污染特征进行分析与评价，结果表明：水质标识指数法比较适合升钟水库水体富营养化评价；单因子水质标识指数显示，水库主要污染物为总氮（TN）、总磷（TP），基本呈现富营养状态；2008年水质最差，2010年水质达到Ⅱ类标准；7年Iwq的平均值Ave（Iwq）=3．393，Ave（Iwq）未达到国家Ⅱ类水质标准。近7年综合水质标识指数（Iwq）在不同时点上具有高-低演化规律，总体趋向好转。通过计算2006年N、P污染负荷，TN、TP入库主要源于水产养殖，其贡献率分别为：55％、82％，升钟水库TN、TP是合理容量的1．97～2．32倍。应严格控制水库网箱肥水养殖。研究结果对指导升钟水库水污染防治与水资源管理具有重要的意义。     

基于MIKE 21的汾河水库挟沙水流水质数值模拟研究

为了揭示悬浮泥沙(SSC)对水库水质的影响规律,对汾河水库进行样品收集和长期水质监测,采用水动力模型与泥沙转移和富营养化模型相结合的方法,将这三者关联耦合,并通过实测数据对模型进行参数率定和验证,分析含沙水和不含沙水中总氮(TN)、总磷(TP)、叶绿素a(Chla)、溶解氧(DO)四项指标,得出两者对水质造成的影响。结果表明:SSC对TN、TP的去除作用明显,对Chla、DO浓度分布影响较小,并计算了污染物的释放量以及贡献率,得出TP的负荷仅为16.47t,而贡献率高达25.25%。因此在汾河的污染控制方面应侧重削减磷,进而改善汾河地区的污染现状。     

基于MIKE 21的汾河水库挟沙水流水质数值模拟研究

为了揭示悬浮泥沙(SSC)对水库水质的影响规律,对汾河水库进行样品收集和长期水质监测,采用水动力模型与泥沙转移和富营养化模型相结合的方法,将这三者关联耦合,并通过实测数据对模型进行参数率定和验证,分析含沙水和不含沙水中总氮(TN)、总磷(TP)、叶绿素a(Chla)、溶解氧(DO)四项指标,得出两者对水质造成的影响。结果表明:SSC对TN、TP的去除作用明显,对Chla、DO浓度分布影响较小,并计算了污染物的释放量以及贡献率,得出TP的负荷仅为16.47t,而贡献率高达25.25%。因此在汾河的污染控制方面应侧重削减磷,进而改善汾河地区的污染现状。     

拟开发场地的土壤重金属污染调查与评价实践

土壤污染调查乃"土壤修复"的前期。在某市郊拟开发建设的场地,按8个点分三层采集了24个土壤样品,用原子吸收光谱法测定样品中汞、铅、镉、铜、锌、镍、铬等7种重金属元素的含量,汞呈现对数正态分布,其他元素为正态分布,各元素在土壤层水平分布状态和垂直分布水平的差异性不显著,锌含量水平现状值在《土壤环境质量标准》GB15618-1995二级标准的指标限值内,汞、铅、镉、铜、镍、铬含量水平现状值均在土壤环境质量一级标准的指标限值内,且各元素浓度水平现状值均与场地所在区域土壤背景值一致。由此,本调查的场地土壤环境现状没有受到铅、汞、镉、铜、锌、镍、铬金属元素污染。     

填埋期模拟准好氧填埋场的渗滤液水质特征

采用室内试验，模拟填埋期回灌型准好氧填埋场垃圾渗滤液水质变化特征。结果显示，新鲜垃圾的定期填入使渗滤波水质产生明显波动，其主要水质指标（COD、NH3-N等）不存在如非填埋期渗滤液水质指标持续下降的变化规律，表明即使对于回灌型准好氧填埋场，当其已填埋垃圾规模较小时，其处理渗滤液的能力和抵御新填入垃圾干扰的能力均是十分有限的。本研究有助于填埋期垃圾渗滤液的合理回灌。     

秦皇岛市“十一五”期间环境质量变化趋势及成因分析

"十一五"期间,秦皇岛市环境质量总体趋于好转。环境空气质量Ⅱ级以上天数始终保持在350天以上,综合污染指数明显下降;城市集中式饮用水源地水质达标率100%;地表水河流Ⅲ类断面比例提高了43.8%;劣Ⅴ类断面比例降低了35.7%。近岸海域海水水质达标率100%,海水浴场水质良好。但存在局部空气污染严重、部分河段水质恶化等主要环境问题,针对上述问题提出了总量减排、污染物联控等对策建议。     

福州城市排污规划布局的水环境影响研究

以闽江下游福州城区段为研究区间,分析了闽江下游福州段的水环境质量现状,采用二维水动力-水质耦合模型研究了枯水期城市排污口布局和排污强度规划对水环境质量的影响。研究结果表明,感潮河段排污存在明显的污染物上溯现象,在东南区水厂至马尾水厂备用水源地之间形成高浓度污染团,洋里和连坂排污口对东南区水厂水源地水质影响最为显著,高潮时刻的高锰酸盐指数增量将达1.0mg/L,氨氮增量将达约0.15mg/L,叠加本底值后水质已接近Ⅲ类标准限值。建议逐步将取水口向城市上游淮安段转移,更换取消东南区水厂的取水口。     

Developing a sustainable energy strategy for a water utility. Part I: A review of the UK legislative framework

Increasing political effort to improve water quality across the UK and Europe has led to water and sewerage companies investing heavily in high-tech wastewater treatment plants capable of producing high quality effluents. Consequently, amounts of bought-in electricity used for wastewater treatment has and will continue to increase significantly over coming years, while greater provision of enhanced sewage treatment also produces greater volumes of sewage sludge requiring treatment and disposal. Over the same period, tougher controls on the quality of biosolids applied to agricultural land have also been introduced, while there has been an international attempt to reduce the use of fossil-fuel derived power sources because of concerns over global warming. The latter has brought about the introduction of financial instruments, such as the Climate Change Levy, to curb energy use, promote energy efficiency and encourage the development of renewable energy technologies. These factors are set to drive-up the costs of providing adequate sewage treatment services, while at the same time, a tough regulatory line taken to control profits on regional monopolies held by the UK water companies will significantly reduce their revenues over the period 2000-05. The result is that, financially, UK water and sewerage companies face their most challenging period since privatisation in 1989. This paper briefly outlines the current regulations relating to water quality and energy use that will affect water company operations over coming years.     

主成分分析法在三江交汇处水质分析中的应用

本文应用主成分分析法，利用三江交汇处的三个断面从1984年到1998年的监测资料对交汇处的水质做分析，分析前先对量化数据标准化处理，处理后提取主成分，并且计算其贡献率和累计贡献率，再由相应的特征向量得到主成分的线性表达式。结果表明：五项影响因素中，三个断面桔水期均受亚硝酸盐氮的影响比较大，丰水期和平水期均受悬浮物和化学需氧量的影响比较大。交汇前，小南门断面的水质综合污染最严重，凉姜沟断面的水质综合污染最轻；交汇后，三江口断面的水质在两者的缓冲下，水质综合污染居中。则说明主成分分析法为河流的综合治理提供了科学依据。     

Application of best subset method for river water quality modeling: A study on Godavari River,India

The utilization of water quality analysis to inform optimal decision-making is imperative to achieve sustainable management of river water quality. A multitude of research works in the past has focused on river water quality modeling. Despite being a precise statistical regression technique that allows for fitting separate models for all potential combinations of predictors and selecting the optimal subset model, the application of best subset method in river water quality modeling is not widely adopted. The current research aims to validate the use of best subset method in evaluating the water quality parameters of the Godavari River, one of the largest rivers in India, by developing regression equations for different combinations of its physicochemical parameters. The study involves in formulating best subset regression equations to estimate the concentrations of river water quality parameters while also identifying and quantifying their variations. A total of 17 water quality parameters are analyzed at 13 monitoring sites using 13 years (1993–2005) of observed data for the monsoon (June–October) period and post-monsoon (November–February) period. The final subset model is selected among model combinations that are developed for each year's dataset through widely used statistical criteria such as R², F value, adjusted R²_a, AIC_c, and RSS. The final best subset model across all parameters exhibits R² values surpassing 0.8, indicating that the models possess the ability to account for over 80% of the variations in the concentrations of dependent parameters. Therefore, the findings demonstrated the appropriateness of this method in evaluating the water quality parameters in extensive rivers. This work is very useful for decision-making and in the management of river water quality for its sustainable use in the study area.     

城市化水平测度及其与水环境质量关联性分析

中国城市化正处在快速发展时期,城市化进程对水环境质量产生了重要影响.在对合肥城市化水平进行测度的基础上,利用灰色关联分析法对合肥城市化与巢湖水环境质量进行了关联分析.结果显示：合肥市产业结构对巢湖西半湖水环境质量的影响较大;在城市化发展初期,第二产业成为影响水质的主要因素;近年随着产业结构调整,第三产业比重逐步提高,成为水质改善的驱动力.因此,在合肥城市化进程中第二、三产业比重对水环境的影响不容忽视,应加强产业结构调整,促进城市化与水环境质量的协调发展.     

A critical review of the water quality classification system in Turkey: A case study on Meric Basin

An 11-year period of water quality data, collected by the Directorate of Sate Water Works of Turkey are thoroughly analyzed for the purpose of implementing water quality classes to water resources in the Meric Basin, located on the European land mass of Turkey. Water quality parameters are divided into four groups as physical, organic, inorganic, and bacteriological. The quality class of each group is evaluated by taking into account the poorest quality of any parameter in the group, after which a quality rank is assigned to the sampling station and the waterbody in question. This method of water quality classification imposed by the Turkish Water Quality Act, is then criticized with respect to a statistical approach.     

水质基准与标准对我国环保产业的拉动分析

水质基准与标准是国家环境保护工作的根本,是进行环境管理的重要技术依据。随着我国水环境形势的变化和管理目标的改变,为准确、客观地反映我国当前的地表水环境状况,强化水污染防治,有效引导水环境质量改善的方向,提高水环境管理的效率,要求基于水质基准研究开展《地表水环境质量标准》的修订工作,以满足新的管理需求。预测表明,"十三五"期间我国环保投资将达到约6.8万亿,为达到修订《标准》后的目标,我国水污染防治至少需投资2.04万亿。另外,修订《标准》,将带动工业和城镇水污染防治投资超过一万亿元,能够加快环保产业的技术成果转化与应用推广。水质基准与标准对环保产业创新和社会经济发展具有积极促进作用,将在我国水环境质量改善和科技进步促进方面产生重大而深远的影响。     

EFFECTS OF CLIMATE VARIABILITY ON RIVERS: CONSEQUENCES FOR LONG TERM WATER QUALITY ANALYSIS1

ABSTRACT: Associations between the El Nino Southern Oscillation (ENSO) climate pattern and temporal variability in flow and 12 water quality variables were assessed at 77 river sites throughout New Zealand over a 13‐year period (1989 through 2001). Trends in water quality were determined for the same period. All 13 variables showed statistically significant linear regression relationships with values of the Southern Oscillation Index (SOI). The strongest relationships were for water temperature (mean R²= 0.20), dissolved reactive phosphorus (0.18), and oxidized nitrogen (0.17). The association with SOI varied by climate region. The observed patterns were generally consistent with known ENSO effects on New Zealand rainfall and air temperature. Trends in water quality variables for the periods 1989 through 1993, 1994 through 1998, and 1989 through 1998 were reasonably consistent with trends in SOI, even when the influence of river flow was removed from the data. This suggests that SOI effects on water quality are not necessarily a direct consequence of changes in flow associated with rainfall variation. In addition, both Baseline (32 upstream) and Impact (45 downstream) sites showed similar trends, indicating that changes in management were not directly responsible. We conclude that interpretation of long term water quality datasets in rivers requires that climate variability be fully acknowledged and dealt with explicitly in trend analyses.