牛栏江流域水污染时空分布与防治对策措施研究

根据昆明市环境监测中心2004～2008年连续5年对昆明辖区牛栏江流域河道及库区水质监测的结果,对牛栏江-滇池补水工程昆明辖区流域的水环境质量现状进行了分析研究,探讨了该流域段水污染的时空分布,就此提出水污染防治对策措施建议.     

Chemical monitoring of river water bodies in an EU outermost region: examples from the Azores archipelago (Portugal)

Chemical monitoring of water quality on a total of 16 rivers in the Azores archipelago (Portugal), since 2003, made it possible to identify the major pressures and spatial geochemical variations along main course of the rivers. River water pollution is to a large extent associated to point sources, namely domestic wastewater discharges, especially in urban areas, and diffuse sources, associated with pasture land, and explain the high values on BOD(5) and nutrients (P and N). Heavy metals and metalloids, as well as hydrocarbons and pesticides, are generally under the detection limits of the analytical methods. Generally, river water reflects pollution loads according to a simple model, derived from land use in the watershed: in the upper part conditions are pristine, in the intermediate portion of the basin pasture land dominates and near the coast urban discharges are increasingly important. Results stress the role that an approach based on the watershed scale, coupled with land use management measures, are crucial to water management procedures and a successful WFD implementation in small river basin districts like the Azores. The paper also shows the need for full compliance regarding EU directives on urban wastewater and nitrate pollution due to agriculture.     

Spatial pattern assessment of river water quality: implications of reducing the number of monitoring stations and chemical parameters

The Tamsui River basin is located in Northern Taiwan and encompasses the most metropolitan city in Taiwan, Taipei City. The Taiwan Environmental Protection Administration (EPA) has established 38 water quality monitoring stations in the Tamsui River basin and performed regular river water quality monitoring for the past two decades. Because of the limited budget of the Taiwan EPA, adjusting the monitoring program while maintaining water quality data is critical. Multivariate analysis methods, such as cluster analysis (CA), factor analysis (FA), and discriminate analysis (DA), are useful tools for the statistically spatial assessment of surface water quality. This study integrated CA, FA, and DA to evaluate the spatial variance of water quality in the metropolitan city of Taipei. Performing CA involved categorizing monitoring stations into three groups: high-, moderate-, and low-pollution areas. In addition, this categorization of monitoring stations was in agreement with that of the assessment that involved using the simple river pollution index. Four latent factors that predominantly influence the river water quality of the Tamsui River basin are assessed using FA: anthropogenic pollution, the nitrification process, seawater intrusion, and geological and weathering processes. We plotted a spatial pattern using the four latent factor scores and identified ten redundant monitoring stations near each upstream station with the same score pattern. We extracted five significant parameters by using DA: total organic carbon, total phosphorus, As, Cu, and nitrate, with spatial variance to differentiate them from the polluted condition of the group obtained by using CA. Finally, this study suggests that the Taiwan EPA can adjust the surface water-monitoring program of the Tamsui River by reducing the monitoring stations to 28 and the measured chemical parameters to five to lower monitoring costs.     

Design of a new monitoring network and first testing of new biological assessment methods according to water framework directive

In most European member states, more or less completely new monitoring networks and assessment methods had to be developed as basic technical tools for the implementation of the EU Water Framework Directive (WFD). In the river basin of the Stever, the largest tributary to the river Lippe (River Rhine, Northrhine-Westphalia, Germany), a WFD-monitoring network was developed, and new German biological methods for rivers, developed for the purposes of the WFD, have been applied. Like most rivers in the German lowland areas, nearly all the river courses of the Stever system are altered by hydro-morphological degradation (straightening, bank fixation, lack of canopy etc.). In 2005 and 2006, the biological quality components of macroinvertebrates, fish and macrophytes were investigated and evaluated for the assessment of the ecological status of about 50 surface water bodies within the whole Stever system. Basic physical and chemical parameters, as well as priority substances, have been analysed in the same period. In this contribution, the design of the new monitoring network, the core principles of the German biological methods, and the most important results of the pilot monitoring will be presented. As main impacts with severe effects on the faunal and floral communities, the many migration barriers and the bad quality of the river morphology could be stated. Organic pollution is no more a severe problem in the Stever. The pilot project was successfully conducted in close collaboration with the water authorities (District Government Münster) and the water association Lippeverband.     

The use of multivariate statistical methods for optimization of the surface water quality network monitoring in the Paraopeba river basin,Brazil

This study sought to evaluate and propose adjustments to the water quality monitoring network of surface freshwaters in the Paraopeba river basin (Minas Gerais, Brazil), using multivariate statistical methods. A total of 13,560 valid data were analyzed for 19 water quality parameters at 30 monitoring sites, over a period of 5 years (2008–2013). The cluster analysis grouped the monitoring sites in eight groups based on similarities of water quality characteristics. This analysis made it possible to detect the most relevant monitoring stations in the river basin. The principal components analysis associated with non-parametric tests and the analysis of violation of the standards prescribed by law, allowed for identifying the most relevant parameters which must be maintained in the network (thermotolerant coliforms, total manganese, and total phosphorus). The discharge of domestic sewage and industrial wastewater, that from mining activities and diffuse pollution from agriculture and pasture areas are the main sources of pollution responsible for the surface water quality deterioration in this basin. The BP073 monitoring site presents the most degraded water quality in the Paropeba river basin. The monitoring sites BP094 and BP092 are located geographically close and they measure similar water quality, so a possible assessment of the need to maintain only one of the two in the monitoring network is suggested. Therefore, multivariate analyses were efficient to assess the adequacy of the water quality monitoring network of the Paraopeba river basin, and it can be used in other watersheds.     

松花江流域水生态环境中生物与生境和化学要素间的关联 性研究

利用2012年松花江流域生物、生境和水质的调查数据,采用生物完整性指数(IBI)评价松花江流域的水生态环境质量,并着重对IBI评价结果与生境质量、水质间的关系及生物与生境和化学参数间的相关关系进行了分析。结果表明,松花江流域IBI评价结果与其生境质量存在显著正相关,与水质评价结果基本一致。生境质量及大多数生境参数均与多项生物参数间存在显著/极显著的相关关系;其次,COD、CODMn、BOD5、TN、TP等超标化学因子也与多项生物参数存在显著/极显著的相关关系,说明生境受损和有机污染压力是引起松花江流域水生态环境质量变化的主要压力。为恢复和改善松花江流域的水生态质量,研究建议针对流域生境质量和超标化学污染开展相应的保护和控制措施。     

长江流域水环境监测与智慧化管理策略

针对如何将水环境监测感知与智能信息化手段运用到长江生态质量诊断与管理之中,梳理了国内外水环境监测与智慧化管理系统的发展情况,并以长江生态环境保护修复智慧决策平台为例,介绍了长江流域水环境监测网络建设情况,以及智慧决策平台在水环境数据可视化、水环境大数据分析、污染源大数据分析、水质模拟与预测、水质成因分析、流域生态安全评...     

黄河流域水质和工业污染源研究

为科学评价黄河流域的水质状况及工业企业污染源现状,根据黄河流域2018—2019年地表水和饮用水水源地水质监测数据,建立了综合反映流域水环境质量和可定量分析排名的城市水质指数;利用大数据技术分析工业企业水污染物排放数据,研究建立了企业环境信用动态评价体系。研究结果表明:2018—2019年,黄河流域城市水环境质量得到一定程度的改善,城市地表水环境质量优和良等级数量从17个增加到19个,饮用水水源地优等级城市数量从7个增加到11个;但黄河流域中游地区水污染问题较为严重,需要重点加强水污染控制。水质污染主要以点源工业污染为主,COD和氨氮排放量较多,COD和氨氮年日均排放浓度平均值分别为51.1、3.1 mg/L,工业废水处理率偏低;山西、陕西、河南等"高"风险企业数量较多,分别达到3 047、1 630、1 442家。建议加强黄河流域上下游、左右岸、干支流协同配合,加大水污染防治工作的深度和力度。     

黄柏河流域水体污染及防治初探

当前,河道型水库水污染问题（包括水库自身及其支流）受到越来越多的关注.黄柏河是长江的一级支流,属于葛洲坝水库流域,受葛洲坝水库蓄水影响,其水体水动力条件完全改变,使水体污染日益严重,已严重影响到沿岸经济的发展.根据1998 - 2002年黄柏河河道断面水质监测资料,进行水质现状评价,分析引起流域水体污染的主要环境问题及其产生原因,提出黄柏河流域水污染综合防治措施.     

基于多元统计的宁夏典农河水质演替特征探究

宁夏典农河是黄河宁夏段的主要入黄排水沟之一，其水质状况对黄河宁夏-内蒙古段跨省流域水质安全至关重要。选取典农河2011—2020年10个监测点位的16项水质参数，采用综合污染指数(WPI)法，结合相关性分析、主成分分析、聚类分析等分析方法，综合分析该流域水污染特征，并对污染程度进行评估，对污染因子和污染原因进行解析，最终提出管控建议。研究结果表明：2011—2020年，影响典农河水质的主要污染因子为COD_Cr、NH₃-N、TP、TN,对应的年均浓度范围分别为22.3～71.5、0.64～9.09、0.173～0.662、2.89～21.52 mg/L,超标率分别为46%、8%、13%、85%。典农河2011—2020年WPI范围为0.59～1.74,重金属含量一直维持在较低水平。流域TN与TP年均浓度比值范围为20～84,整体呈下降趋势，且各监测点的差异性逐渐减小；BOD₅与COD_Cr浓度比值范围为0.02～0.19,反映出典农河流域水体可生化性较差。各监测断面污染物之间存在较强相关性，其中：流域C...     

Water quality indices across Europe--a comparison of the good ecological status of five river basins

The European Water Framework Directive (WFD) requires the definition of near-natural reference conditions to determine the extent of water bodies' deviation from "good ecological status" caused by stress gradients. However, the classification of ecological quality depends on the assessment method applied and the stressor concerned. While assessment methods that are generally applicable would be favourable, many European countries employ the locally developed water quality metrics that assess the impact of organic pollution (including eutrophication) and the associated decrease in dissolved oxygen. These indices do not specifically address stress from organic toxicants, such as pesticides. The aim of this study was to examine the performance of presently used assessment methods to identify reference conditions of non-contaminated streams in five selected European river basins, covering the geographical region from Spain to Finland, as a crucial prerequisite to indicate toxic gradients. The analysis comprised the Belgium biotic index (BBI), the biological monitoring working party (BMWP) scoring system and the revised German saprobic index. For comparison, we included an adaptation of the recently developed SPEAR index. In two previous field studies, this metric highly correlated with measured pesticide gradients. In this study, SPEAR was the only indicator that was generally applicable to all monitoring data and capable of determining "high ecological status" of reference conditions in all basins. Thus, based upon previous and own results, the authors suggest the species at risk (SPEAR) index to be potentially useful as a European-wide index to address deviations from "good ecological status" due to organic toxicants and recommend it for consideration in integrated water-resource evaluations under the WFD.     

Defining chemical status of a temporary Mediterranean River

Although the majority of rivers and streams in the Mediterranean area are temporary, no particular attention is being paid for such systems in the Water Framework Directive (WFD). A typical temporal Mediterranean river, draining an intensively cultivated basin, was assessed for its chemical status. Elevated concentrations of nitrates and salts in river water as well as nutrients and heavy metals in river sediments have been attributed to agricultural land uses and practices and point sources of organic pollution. A scheme for the classification of the river's chemical status (within the ecological quality classification procedure) was applied by combining pollution parameters in groups according to related pressures. In light of the temporal hydrological regime and anthropogenic impacts, sediment chemical quality elements were considered, in addition to hydrochemical ones. Despite the extensive agricultural activities in the basin, the majority of the sites examined showed a good quality and only three of them were classified as moderate. For the classification of the chemical quality of temporary water bodies, there is a need to develop ecologically relevant salinity and sediment quality standards.     

Integrating data-driven ecological models in an expert-based decision support system for water management in the Du river basin (Vietnam)

In this study, classification trees were combined with the Water Framework Directive (WFD)-Explorer, a modular toolbox that supports integrated water management in a river basin to evaluate the impact of different restoration measures on river ecology. First, the WFD-Explorer toolbox analysed the effect of different restoration options on the abiotic river characteristics based on the water and substance balance embedded in the simulation environment. Based on these abiotic characteristics, the biological index Biological Monitoring Working Party for Vietnam was then predicted by classification trees that were trained on biological and abiotic data collected in the Du river basin in northern Vietnam. The ecological status of streams in the basin ranged from nearly pristine headwaters to severely impacted river stretches. Elimination of point sources from ore extraction and decentralised domestic wastewater treatment proved to be the most effective measures to improve the ecological condition of the Du river basin. The combination of the WFD-Explorer results with data-driven models enabled model application in a situation where expert knowledge was lacking. Consequently, this approach appeared promising for decision support in the context of river restoration and conservation management.     

太浦河界标断面水质达标综合治理对策

简述了太浦河界标断面2020年水质考核目标以及区域水污染现状。指出,界标断面水质主要超标因子为DO和TP,农业面源污染、工业污染、生活污水处理相对滞后、内源污染、部分黑臭河道河段清淤不彻底是导致区域水污染的主要因素。提出,要推进农业面源污染治理,强化工业污染源治理,加强区域性污染物控制以及生活污染源整治,促进河湖生态系统恢复,加强自动监测站管理工作。     

古泊善后河水质污染特征及污染来源调查

以2016—2020年古泊善后河国家和省级地表水监测网水质例行监测数据为依据,采用水质指数法(WQI)对古泊善后河水质污染状况进行综合评价;基于水质评价结果,选取影响最大的两项指标COD_Mn和TP,于2020年10月对古泊善后河开展加密监测,调查分析污染来源。结果表明,2016—2020年古泊善后河水质波动变化较大,汛期降雨对水质下降影响明显,COD_Mn、TP、COD_Cr、氟化物和BOD₅是影响古泊善后河水质的主要指标;加密监测期间,古泊善后河干流水质COD_Mn和TP指标浓度分别升高28.9%、38.3%,其中宿迁段升幅显著高于连云港段;支流水质超Ⅲ类比例为22.9%,劣Ⅴ比例为6.3%;部分乡镇生活污水直排和持续降雨将农田中高浓度污染物冲刷进河流支浜,是导致水质下降的主要原因。     

淮河流域淮安段着生藻类群落结构特征分析

于2021年5月对淮安境内淮河主要干支流8个点位的水质状况和着生藻类群落结构采样调查，应用3种多样性指数模型评价区域水生态健康状况，并探究影响着生藻类多样性的因素。结果表明：采样期间淮河流域淮安市域共检出着生藻类3门23科32属（种），由硅藻门、蓝藻门和绿藻门组成，硅藻门占绝对优势；多样性指数计算结果显示，流域水生态状况良好，整体表现为清洁-轻污型水体，淮河上游水质稍差于其他水域；结合水质监测数据与卫星遥感影像分析，认为生境状况是影响着生藻类群落分布的主要因素。     

岷江流域水质状况评价及变化趋势分析

通过岷江断面水质监测数据,利用内梅罗污染指数法进行水质评价,分析了2009—2013年岷江干流水质情况及其变化趋势。阐述了2013年岷江流域水质空间分布、月季变化情况。提出了流域水质污染防治建议。结果表明,岷江干流上游水质较好、中游较差、下游略有好转,体泉河等部分岷江支流水质较差。2013年全年来看,4—5月份水质较差,7—10月相对较好。     

塔里木河流域的生态环境质量综合评价研究

采用切实可行的指标体系综合评价塔里木河流域生态环境质量,对流域的近期综合治理以及其它环境建设工程都具有很强的参考和指导意义。本文结合已有的研究成果,首次运用RS／GIS技术,参考2003年中国环境监测总站颁布的《生态环境质量评价方法》。以塔里木河流域的42个县(市)为评价单元,对塔里木河流域生态环境质量进行综合评价。结果表明,整个塔里木河流域的生态环境质量属较差和差级,其中干流上游与四源流经地区环境质量略好于其它地区。天山南麓、环塔里木盆地北部及西部绿洲区的生态环境状况优于环塔里木盆地南缘的和田地区,评价结果符合实际情况。     

长江流域下游水体中药品和个人护理品赋存、分布、溯源及风险评估研究进展

药品和个人护理品（PPCPs）作为一类新污染物,种类繁多,且广泛存在于自然水体中。长江流域下游地区由于人口稠密,产业发达,PPCPs对于水体的污染问题尤为突出。简述了2010—2021年长江流域下游水体中PPCPs的赋存状况、时空分布及溯源分析情况,并对PPCPs的生态环境风险评估研究进展进行总结,揭示了近10年来长江流域下游水体中PPCPs的污染状况及变化态势,提出了未来PPCPs监测、溯源和风险评估的发展趋势,以期为水环境中PPCPs污染物的预警和管控提供参考依据。