Water Quality Estimation in the Kotorosl' River Basin Based on Zoobenthos Composition

Water quality and the levels of pollution in biological communities of the Kotorosl' River and its major tributaries (the Sara, Lakhost', Mogza, and Pakhma rivers) are estimated by using a considerable body of hydrobiological characteristics (the Pantle–Buck saprobity index and its modifications by Rotshain and the indices of species diversity developed by Shannon; Balushkina; Woodiwiss; Parele; Toderash; Goodnight and Whitley; and Carr, Hiltunenn, and Wright) from the data on the seasonal dynamics of macrozoobenthos. An ecological and sanitary classification of water quality that was developed for this type of rivers is presented. Indices based on the characteristics of oligochaetes, as well as on the taxonomic composition of communities and characteristics of the most indicative species, are shown to be the best choice for characterization of organic pollution prevailing in the Kotorosl' River basin.     

Information support for studying water resources of Lake Ladoga and its basin

A regional geographic information system for water resources of Lake Ladoga basin was developed as an information support for works aimed to study and practically use the water resources of Lake Ladoga and its basin. The system incorporates databases with the results of hydrochemical, hydrological, and meteorological measurements; information on water use; and an atlas of digital maps. The developed inquiry and communication system is based on web-interfaces, provides for remote access to databases, and enables interactive data exchange.     

邛海入湖河流水质及其湖区响应特征(2011—2021年)

邛海是云贵高原水域面积>25 km²的11个天然湖泊之一。基于邛海入湖河流与湖区水质监测数据,揭示入湖河流水质特征,并探究其湖区响应。结果表明:2021年,邛海入湖河流水质空间异质性显著,且分为自然型、农业型和城镇型3种类型河流。官坝河等3条自然型河流水质优良,而高仓河等8条城镇型和农业型河流(R4～R11)水质较差,污染物浓度超标严重。2011—2021年,邛海主要入湖河流(官坝河、鹅掌河、小青河)的营养盐浓度呈下降或先增加后下降趋势,水质逐渐改善。流域土地利用变化是导致邛海入湖河流水质空间异质性的主要因素,同时也是河流水质在2011—2021年改善的原因之一。受湖泊水文环境与入湖河流污染类型影响,2017—2021年邛海湖区水环境及其与河流水质响应关系差异性明显:高枧湾水域(L5)水深浅、水环境容量小,主要受纳城镇污水,因而湖区营养盐与叶绿素a浓度高,在2021年达富营养状态;官坝河、鹅掌河与小青河入湖影响区(L1～L3)与小渔村(L4)水域湖水深、水环境容量大,污染物浓度与营养状态指数低,但因汇入的河流污染类型不同,湖区营养水平与河流水质响应存在季节性...     

Developing methods for bioidentification of xenobiotics for water quality assessment

The role of bioassay in the pollution control system for water bodies is considered. Studies of the mechanisms of toxic impact of various chemical compounds on aquatic organisms were used to develop a bioindication method to give an integral estimate of water toxicity and determine some classes of chemical pollutants. The results of application of such methods to assessing water quality in Lake Ladoga are given.     

Water quality in rivers of western Switzerland: Application of an adaptable index based on benthic invertebrates

Water quality was estimated from 205 samples of benthic invertebrates collected between 1982 and 1986 in 51 rivers of western Switzerland (canton of Vaud). Each sample consisted of the combined list of taxa resulting from one spring sample pooled with one summer sample. Water quality was indicated by total number of taxa and number of taxa intolerant of pollution: i. e. Heptageniidae, Plecoptera, and Trichoptera with a case. Six classes of values were delimited for each of these two variables by cluster analysis. Values from zero to five were attributed to each class. The index of water quality was computed by adding these two values in each sample. According to this index, good water quality was indicated by 42% of samples. This index can be adapted to other rivers because its components are easily modified.     

Multimetric Macroinvertebrate Index Flanders (MMIF) for biological assessment of rivers and lakes in Flanders (Belgium)

The European Water Framework Directive requires that member states assess all their surface waters based on a number of biological elements, including macroinvertebrates. Since 1989, the Flemish Environment Agency has been using the Belgian Biotic Index for assessing river water quality based on macroinvertebrates. Throughout the years, the Belgian Biotic Index has proven to be a reliable and robust method providing a good indication of general degradation of river water and habitat quality. Since the Belgian Biotic Index does not meet all the requirements of the Water Framework Directive, a new index, the Multimetric Macroinvertebrate Index Flanders (MMIF) for evaluating rivers and lakes was developed and tested. This index was developed in order to provide a general assessment of ecological deterioration caused by any kind of stressor, such as water pollution and habitat quality degradation. The MMIF is based on macroinvertebrate samples that are taken using the same sampling and identification procedure as the Belgian Biotic Index. The index calculation is a type-specific multimetric system based on five equally weighted metrics, which are taxa richness, number of Ephemeroptera, Plecoptera and Trichoptera taxa, number of other sensitive taxa, the Shannon-Wiener diversity index and the mean tolerance score. The final index value is expressed as an Ecological Quality Ratio ranging from zero for very bad ecological quality to one for very good ecological quality. The MMIF correlates positively with dissolved oxygen and negatively with Kjeldahl nitrogen, total nitrogen, ammonium, nitrite, total phosphorous, orthophosphate and biochemical and chemical oxygen demand. This new index is now being used by the Flemish Environment Agency as a standard method to report about the status of macroinvertebrates in rivers and lakes in Flanders within the context of the European Water Framework Directive.     

2007年以来环太湖22条主要河流水质变化及其对太湖的影响

随着现代经济的迅速发展,太湖流域污染问题日益严重.为了解太湖湖区以及入湖河流的水质变化趋势,分析两者之间的关系,本文选取太湖湖区以及环太湖22条主要入湖河流2007-2014年水质监测资料,按行政区划分析22条主要入湖河流的氨氮、高锰酸盐指数、总磷和总氮浓度变化趋势以及其与太湖水质关系.结果显示,江苏省境内河流2007年以来污染物浓度普遍高于浙江省,但主要入湖河流总体上呈好转趋势,并且河流各指标的浓度变化与太湖的水质变化密切相关,验证了河道污染物输入作为太湖主要的污染物外源,直接影响太湖水质的变化,指出对入湖河流污染物的控制是缓解和治理太湖污染输入的重要途径.     

Assessing the environmental conditions of rivers on the northern coast of Lake Ladoga by chemical characteristics and the structure of hydrobiocenoses

The chemical features and the structure of biological communities in Lake Ladoga are considered. Comparative analysis was carried out for the species composition and biomass of phytoperiphyton, zooplankton, and zoobentbos in six Ladoga tributaries based on observational data of August 2013. The effect of natural and anthropogenic factors on the formation of the structure of river hydrobiocenoses is analyzed. The trophic status of rivers, their saprobiological state, and the significance of individual communities and biotic indices for bioindication of the ecological state of rivers are estimated.     

2009年环太湖入出湖河流水量及污染负荷通量

通过对2009年环太湖水文巡测及同步水质监测数据整理,得到2009年环太湖河流入出湖水量以及污染负荷,并将之与前期文献资料数据进行对比.结果表明,2009年环太湖河道入出湖水量分别为88.40×108 m3、93.27×108m3.入湖水量超过5×108m3的依次为陈东港、大浦港、梁溪河、太滆运河、望虞河.出湖水量最大...     

Use of Structural Characteristics of Bacterio- and Zoobenthos for Assessing the Quality of Bottom Deposits: Case Study of Water Bodies in the Upper Volga Basin

Analysis is given of the modern approaches and methods used to assess the quality of bottom deposits based on the conditions of bacterio- and zoobenthos communities. The structural characteristics of bacterio- and zoobenthos communities of small rivers in the Upper Volga basin are studied. The type of substrate is shown to have appreciable effect on the quantitative characteristics of both the communities. The analysis of these data is used to create a generalized classification of the quality of bottom deposits and assess the extent of their pollution in the examined water bodies.     

云南星云湖水质变化及其人文因素驱动力分析

星云湖目前存在水污染加重、富营养化进程加快、水体功能受损等问题.以星云湖为研究对象,根据星云湖2005-2015年的水质数据、社会经济统计数据和遥感影像图,运用目视解译、叠加分析、污染足迹模型及主成分分析法,分析了星云湖流域近10年以来水质变化趋势、入湖河流污染物污染足迹及其人文因素驱动力.结果表明:(1)水质数据趋势表明,从月变化看,3月份水质最好,9月份水质最差;从年变化看,2005-2015年间,2008年水质状况最好,2014年的水质状况最差,从2008-2014年水质持续变差,到2015年好转.(2)2015年有机物、氮和磷的污染足迹分别为583.26、705.88和494.11 km~2.污染足迹前4位的入湖河流依次为:大街河东西大河东河渔村河东西大河西河,占星云湖流域总污染足迹的66.21%.污染程度大的大街河、东西大河和渔村河周边土地利用类型为水田、旱地和村庄.(3)星云湖水质影响因素第1主成分(总人口、播种面积、农村人口、化肥使用量、农膜使用量、大牲畜存栏量)与农村生活和农业面源污染有关;第2主成分(人均GDP、第一产业产值、第二产业产值、第三产业产值)与社会经济发展有关.因此,星云湖流域水质变化的人文因素驱动力为农村生活和农业面源污染类和社会经济发展类,其中第1主成分的贡献率是84.389%,农村生活和农业面源污染是水质变化的主要驱动力.     

Macrophytes as indicators of the ecological state of small rivers in Minsk Region

The ecological state of 18 small rivers in Minsk Region was for the first time estimated by jointly used macrophyte-based characteristics, including saprobity index, biological macrophyte index for rivers, and a scale of cenotic/supercenotic organization of aquatic and coastal-aquatic plants. Rivers with relatively safe ecological status were shown to dominate, while other rivers are in a safe and satisfactory state. The proposed approach to determining the ecological quality of watercourses is based on the calculation of a complex characteristic, i.e., an integral macrophyte index of small river ecological status; this index has been developed in the context of a classification scheme of surface water quality in the National Environmental Monitoring System of the Republic of Belarus.     

巢湖富营养化的历程、空间分布与治理策略(1984-2013年)

通过文献调研,分析巢湖富营养化的历程及其与合肥市社会、经济与人口发展的关系,同时利用遥感解译和野外调查监测方法分析2012和2013年巢湖主要富营养化指标及蓝藻水华的空间分布特征,并进一步探讨各个阶段湖泊治理措施对巢湖富营养化过程的影响.研究发现:近30年间,1984-1994年是巢湖水质的主要恶化阶段,在1990s中期巢湖的富营养化达到了近30年的峰值,这主要是经济快速发展、污染治理投入有限所致;1995-2007年,巢湖的水质逐步改善,恢复到1980s中期略高的水平,这得益于"九五"和"十五"期间的大量投入,对污、废水进行处理,限制了污染物直接入湖;但是2008年以来,巢湖的水质改善效果并不明显,富营养化维持在较高水平波动,这可能是因为合肥市经济快速发展背景下,原有的污、废水处理后入湖的减排方式已经不能进一步有效削减巢湖的污染负荷.巢湖富营养化在空间分布上呈现西高东低的渐变趋势,这主要是由西部主要入湖河流污染所致.通过对比2012和2013年的空间分布数据发现,2013年主要入湖污染河流河口水质相对2012年均有所好转,其中十五里河河口的好转比南淝河河口明显.综合长期及全湖富营养化水平的变化分析,现阶段巢湖富营养化的治理亟需改变经济发展模式,调整产业结构,实施污废水尾水提标改造、畜禽养殖污染控制和面源污染控制等控源工程,以进一步降低巢湖的富营养化程度.     

Modeling of nitrobenzene in the river with ice process in high-latitude regions

To deal with the accidental release of pollutants into frozen rivers, those rivers in high-latitude regions should be treated differently. Pollutants could be stored up in the ice and released when the ice melts in spring, perhaps resulting in secondary pollution in the river. A water quality model of nitrobenzene has been developed in this paper to assess the influence on river water quality due to the freezing process. The model is made up of three modules: thermodynamic module, hydrodynamic module and water quality module. The thermodynamic module considers the complex heat exchange processes between the water body and the atmosphere, the water body and the river bed, the water body and the ice cover, and so on. The growth of the ice cover is simulated in a simplified form whilst taking consideration of heat balance. The hydrodynamic model uses the Saint-Venant equations in non-constant flow and the influence of the ice cover is measured. The degradation, diffusion, absorption and desorption, and the influence of the freezing process are incorporated in the water quality module and the concept of Continuously Stirred Tanked Reactors (CSTRs) model is applied in the model construction. The model has been applied to supporting the management of accidental pollution in the Songhua River. The model was calibrated and validated with monitored data. Regional sensitivity analysis based on a task-based Hornberger-Spear-Young (HSY) algorithm was carried out to examine the model structure and the result showed that the model could describe the system very well. Then the conditioned model was applied to predicting the concentration of nitrobenzene in the water when the ice melted in spring. The predictive result showed that the release of pollutants in the ice could lead to an increase in the concentration of pollutants in the water, but the increase would be very small because there was only a small amount of pollutants stored in the ice. A secondary pollution could therefore be avoided. Also, with necessary modifications, the model established in this study could be applied to the water quality management in rivers that freeze in winter.     

考虑空间尺度效应的云南异龙湖流域主要入湖河流污染源解析

定量解析污染源对水质影响的贡献是水环境精细化管理的重要基础。目前多通过水质和土地利用类型的关系以解析水体污染源的研究,忽略了空间尺度的差异性,引发景观配置不合理的后果。为此,本研究依据考虑空间尺度效应的污染源解析方法,基于异龙湖流域3条主要入湖河流的入湖口监测断面对雨季和旱季的水质数据进行研究。同时利用绝对主成分—多元线性回归模型(APCS-MLR)和bioenv分析揭示河道不同尺度缓冲区的土地利用变化对水质的影响并解析河流主要污染源。研究结果表明:(1)异龙湖主要入湖河流水质表现出季节性差异,旱季期间3条主要入湖河流的浊度、化学需氧量(COD_Cr)、氨氮(NH₃-N)、总磷(TP)和总氮(TN)浓度平均值相比于雨季减幅分别为39.53%、39.93%、94.48%、38.29%和1.72%。其中,入湖河流水体中的TN在旱季和雨季的超标率分别为58%和74%,成为首要污染物;(2)在旱季,20 m缓冲区尺度内河流水质受耕地和裸地占比影响较大,随着空间尺度的扩大,至50～300 m缓冲区尺度时建设用地、林地及水体占比对水质的影响增加;在雨季,C...     

滆湖氮、磷平衡研究

通过１９９２￣１９９３年千岛湖水质、底质、生物和污染源调查,对其水环境质量和污染物输入作了综合评价。结果表明,千岛湖水质状况良好;但局部水域水质污染逐年加重,湖泊已属中营养状态。非点源输入量占入湖污染总量的９５％,其中５０％来自上游安徽来水。建立了对流扩散模型并进行水质预测,提出了千岛湖水环境保护对策。     

阳澄湖入湖河道分类、污染特征分析及治理策略

为进一步揭示阳澄湖入湖河道的污染物来源,提出相应的治理对策,以2017—2021年阳澄湖入湖河道水质监测数据为基础进行分析讨论。依据入湖水量选取10条主要入湖河道进行分析,其中位于阳澄湖东岸的白曲港在七浦塘拓浚工程建成之前主导流向为出湖,工程建成后,通过Pearson相关分析证实了其流向与七浦塘引水时的水力关系,因此白曲港被选为主要入湖河道。采用距平系数法、系统聚类法和物元分析法将阳澄湖主要入湖河道分为3个类别:第1类别包括白荡、蠡塘河、北河泾、永昌泾4条河道,第2类别包括渭泾塘、界泾和施家斗港3条河道,第3类别包括南消泾、七浦塘和白曲港3条河道。使用因子分析法进行因子分析,第1类别河道的因子为高锰酸盐指数(CODMn)、氨氮(NH3-N)、溶解氧(DO)和总磷(TP),第2类别河道的污染因子为NH3-N、总氮(TN)、pH、TP和DO,第3类别河道的污染因子为pH、TP、TN和DO。通过对上游河道水质情况分析、文件研究以及实地调查等方式得出第1类别河道区域的污染源主要为工业污染源和生活污染源,第2类别河道区域污染源主要为工业污染源与种植业污染源,第3类别河道污染源主要为陆地水产养殖污...     

太湖流域"零点"行动的环境效果分析

太湖流域点源污染治理的“零点”行动对减轻太湖及流域水质的污染具有积极的作用。削减COD量占入湖COD总量的19．1％,1998年主要入湖河道COD监测浓度年平均值比1997年平均值下降26．7％,1998年太湖湖水COD年平均浓度比1997年的平均浓度下降了21．2％,这在一定的程度上遏制了太湖水质恶化的趋势。但若从根本上改善太湖水质,尚需结合流域地区内其它污染治理措施,形成综合治理。     

太湖流域地表水资源分质评价及水质型缺水形势分析

太湖流域水资源供需矛盾主要体现为"水质型缺水"问题,如何对"水质型缺水"进行定量描述,在太湖流域是一个难题.本文提出了"分质水资源量"的概念,以流域水资源四级分区为单元,以分区水质监测资料结合水资源量进行分析,分别统计分区分质水资源量.分析表明:太湖流域142×10⁸ m³的地表水资源量中,Ⅲ类以上的适合于饮用水源和一般工业用水的优质水为35.8×10⁸ m³,占25.2%;适合于电力冷却用水、农业灌溉的Ⅳ-Ⅴ类水为46.4×10⁸ m³,占32.6%;不可利用的劣Ⅴ类水有59.9×10⁸ m³,占42.2%.流域内优于Ⅴ类(含Ⅴ类)的地表水资源量为82.2×10⁸ m³,占地表水总资源量的57.8%.而浅层地下水己基本被污染.需要指出,Ⅰ-Ⅲ类优质水虽仍有35.8×10⁸ m³,但目前流域内对Ⅰ-Ⅲ类水的需求量己达60.6×10⁸ m³,如将此两数对比,则优质水缺额为24.8×10⁸ m³,但实际上,优质水的需求主要集中在流域中下游,而可供优质水水源则主要集中在流域上游地区山区水库和中游太湖湖心区、东部湖区和太浦河,供需两者的空间分布有较大出入,因此优质水资源缺额将更大,由此可见太湖流域水质型缺水形势十分严峻.     

Allochthonous and autochthonous organic matter in surface waters in Karelia

A relationship between indirect chemical indices of organic matter content of surface waters and light absorption in the visible and ultraviolet ranges is discussed. The allochthonous and autochthonous types of organic matter are found to essentially differ in the rate of light absorption. Techniques are proposed for the calculation of the concentrations of allochthonous and autochthonous organic matter by the integral rate of light consumption in the visible region and the bichromate oxidability of water, as well as by three indirect indices: chemical oxygen demand, permanganate oxidability, and water color index. The mean concentrations of allochthonous and autochthonous organic matter in large lakes (Ladoga, Onega, and Baikal) and in rivers and smaller water bodies in Karelia (>300 water objects) are analyzed. Allochthonous organic matter was found to predominate in most surface waters of Karelia (>80%), while allochthonous organic matter predominates only in lakes with a small specific catchment area (supposedly, <5) and in highly eutrophic lakes.