Research papers on river water quality

Similarly, metabolic activation assays, such as AhR binding assays, which are typically promiscuous in their binding specificity, are known to elucidate pleiotropic responses and are, thus, easiest to use for mixture exposure detection. Typical additional factors that determine the bioassay selection comprise rapidity, sensitivity, adequacy, statistical robustness, high reproducibility, accepted level of standardization, automated protocol, and demonstrated use for monitoring purpose, potential for inference, cost effectiveness and degree of representativeness as a biological proxy.

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Again the purpose of the study is most important, e. However, if more polar and water-soluble compounds are of concern, these assays are unlikely to detect much bioactivity. To foster the application of the bioassays applied in the case studies summarized above, one may refer to the standard operating procedures documented in the supporting information of Neale et al. Bioassay findings cannot always be explained by monitored chemicals, as demonstrated in several case study investigations in surface [ 26 , 38 , 47 , 49 ], and groundwater [ 39 ].

This is particularly true for assays indicative of more integrative effects. Whole effluent testing using bioanalytical methods, such as fish embryo, daphnia, luminescent bacteria or algae testing is performed already for wastewater surveillance in the German Waste Water Ordinance [ 32 ] under the Federal Water Act [ 31 ]. This regulation adopts the EU-WFD and provides a reference case for effect-based monitoring and assessment.

Here the lowest inhibitory dilution in an apical bioassay deemed acceptable for a specific type of effluent is defined. In SOLUTIONS, the single chemical fingerprinting and mixtures studies were used to derive bioassay-specific effect-based trigger values EBT , which would allow assessment of other effects beyond apical effect-based monitoring findings. The derived EBTs are still preliminary, because bioanalytical effect data are generally only available for chemicals with existing EQS.

More single chemical data must be obtained for the different assays before specific EBT values can be considered ready for harmonization. Eventually, when management options for water contamination are considered, the establishment of cause—effect relationships may be essential for determining appropriate actions. Strategies to establish causal relationships between multiple contaminants and deleterious biological effects in SOLUTIONS were explored in terms of different levels of biological outcomes. Secondly, we synthesized different lines of evidence LOE cf. Despite the presence of mixtures of multiple compounds in environmental media, theoretical considerations and experimental findings suggest that the overall risk to individual organisms or populations of a species may be driven by only a few mixture components [ 3 ].

Thus, identification of the most significant chemicals contributing to observed effects will help to establish the corresponding cause—effect relationships and provide focus for potential management measures. In some cases, well-known chemicals can explain observed biological responses e. However, in other cases routinely analyzed chemicals cannot explain observed biological responses e.

In these cases, bioassays provide a more comprehensive picture of the chemical burden in the aqueous environment. Efforts in the SOLUTIONS project, therefore, aimed to better understand which organic chemicals contribute to observable effects and what fraction of the effect is caused by unidentified chemicals, using a stepwise approach shown in Fig. The confirmation of candidate or suspect drivers requires an additional step.

Water quality study of Sunter River in Jakarta, Indonesia

When determining drivers of mixture toxicity using this approach, initially chemical target monitoring data should be evaluated using component-based mixture toxicity predictions. For chemicals with known effect concentrations ECs , Toxic Units TU can be calculated as the ratio between environmental concentrations and ECs for a specific water quality element e.

This can be used to identify candidate drivers of toxicity. This step may already provide a basis for a tentative prioritization of sites and rivers of concern, as well as for the identification of sensitive biological quality elements. Existing chemical monitoring data may subsequently be compared with effect-based monitoring using a panel of biological endpoints see above , that may be adapted for specific diagnostic purposes.

More recent work has shown that it may be reasonable to expect a full mass balance for specific responses, for example receptor-mediated effects. An iceberg model [ 62 ] can be used to quantify the differences between expected component-based and observed bioassay-based mixture effects. Subsequently, a full, unbiased EDA investigation can be used to investigate whether unidentified chemicals account for unexplained biological effects. The EDA methodology works without any previous information on the types and sources of pollution. The data evaluation and investigations suggested in the first step will help to decide if EDA should be applied to unravel any remaining unexplained toxicity.

Basically, EDA reduces environmental sample extracts to less complex mixtures or individual compounds by fractionation and subsequent bioassay-directed selection of subsamples, so that relevant toxicants can be isolated and identified by chemical analysis [ 9 ]. Finally, identified toxicants need to be confirmed as the cause of the measured effect.

This is carried out using analytical confirmation of identified structures as well as effect confirmation by testing neat standards and artificial mixtures. Furthermore, it may involve mixture toxicity modeling, and finally hazard confirmation, which should account for effects at higher levels of biological organization, such as populations and communities under realistic exposure conditions [ 10 ].

The power of this approach has been demonstrated, e. Parallel fractionation with different stationary phases together with testing and chemical screening of the resulting fractions was able to reduce the number of candidate peaks to very few peaks, eventually identifying and confirming the fluorescent dye coumarin 47 as the driver of the measured effect in vitro and in vivo in Medaka embryos.

Site-specific compounds from local economic and social activities, such as in this example, typically go unrecognized in chemical analyses, as well as in ecological monitoring. Effect-based monitoring combined with EDA and mixture effect experiments also support the identification and understanding of effects driven by the interaction of different compounds. This has been demonstrated by partial unraveling of mutagenic effects in the river Rhine, establishing synergistic effects of industrial aromatic amines with natural carboline alkaloids, which co-occur frequently in river water [ 46 ].

As EDA is a time- and resource-consuming approach, the problem formulation should be carried out with great care, prerequisites thoroughly checked, and the methods and approaches selected appropriately. Conducting a full EDA to identify specific toxic compounds may not be needed, if abatement options that reduce the toxic effect can be identified.

In these cases, the solution to an existing problem can be found and implemented without the final knowledge of the actual causative agents as also discussed above. Applying an EDA is meaningful if. Effects can be observed for organic extracts of environmental samples also implying the cause may be organic chemicals ;. The observed effects can be related to a specific toxicological endpoint, which can be assessed using bioassays applicable to environmental sample extracts and fractions within a reasonable time and cost scale;.

The observed effect is likely caused by a limited small number of toxicants amongst those present in a sample, i. This is mostly the case for bioassays with specific, often receptor-mediated responses. The WFD aims to ensure a good ecological status for European water bodies, as well as a good chemical status.

A major challenge hindering implementation of appropriate water management measures is to differentiate chemical-induced ecological impacts from, e. This requires that the aforementioned lines of evidence are tied together with data from biomonitoring efforts, higher tier ecotoxicological assessments and in situ studies. To tease out the causal link between the occurrence of complex chemical mixtures and ecologically relevant effects, we developed and explored a multiple LOE approach [ 6 ]. The following four LOEs were considered:.

Chemical occurrence data for the sites of interest, analyzed with predictive mixture modeling approaches to indicate potential mixture risks;. Bioanalytical data from samples and fractioned subsamples studied to establish concentration—effect relationships;. In situ functional responses, comparatively assessed at potentially polluted sites and reference situations; and. Surveys on species and trait abundance as well as population and community structure biodiversity at potentially impacted sites and reference sites.

This approach provides an adaptive and integrative method that systematically synthesizes the evidence from the different LOEs and provides optimum decision support for an ecologically oriented water management. The overall status of each of the four individual LOEs is condensed and categorized into classes that indicate clear or moderate signals of pollution-driven impacts Fig.

Results from a battery of in situ biomarkers in sentinel fish Alburnus alburnus and Neogobius sp. Finally, taxonomy- and trait-based analyses of fish and macroinvertebrate community data were performed to indicate ecological impacts [ 56 ]. A particular problem was the limited spatial overlap between sampling sites for the different LOEs.

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Results from a suite of in vitro bioassays, performed with extracts from LV-SPE and equilibrium passive sampling, were considered [ 47 ] but could not be fully included due to the spatial mismatch. An independent analysis regarding the evidence of genotoxic bioactivity was performed instead [ 61 ]. Aggregating information from different lines of evidence LOEs into a weight of evidence matrix specific for each biological quality element to support cause—effect relationships between chemical contamination and ecological effects; Spectrum of outcomes between chemistry mixture toxicity potential and ecology effects at community levels.

In situ responses can link between those ends; four main LOEs, including the elements of evidence for which additional information may be included.

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The in situ LOE includes tests from the sub-organism to the community level. Mechanistic information for different action by pollutants is conserved by differentiation among the LOEs for the different biological quality elements. Despite these constraints, the toolbox application helped to identify a number of sites in the Danube where component-based mixture risk predictions, biomarker responses and community level responses, consistently indicated a chemical-driven impact.

Many of the Danube sampling sites show clear indications of anthropogenic impacts, and in all cases the estimated toxic pressure suggests that pollutants are likely a contributing cause. However, the functional in situ responses for many sites indicate that the link from functional measures of toxic pressure to community effects is not as clear as anticipated when comparing chemical pressure and community effects. Here, biomarkers and average biomarker responses could provide additional information to support the overall evaluation of the chemical and ecological quality of water bodies.


The LOE-based approach transformed the multi-dimensional JDS3 data into a simplified matrix suitable for water managers and decision-makers, without losing crucial information. This matrix can serve as a basis for conclusive statements about the impairment of the ecological status at the various sites. It also pinpoints critical data gaps, which might stimulate and guide future chemical monitoring and ecological testing.

Given the dynamics of chemical innovation, production, consumption, use, disposal, and consequent emission into the aquatic environment, the challenge for a successful amendment and implementation of the European Water Framework Directive [ 29 ] is to define more specific strategies for protecting and enhancing the status of aquatic ecosystems. In particular, strategies for identifying river basin specific pollutants, improvements in the diagnostics of ecological impacts and more powerful approaches for establishing causal links between chemical and ecological assessments are required.

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By synthesizing the developments within the SOLUTIONS project in terms of water sampling techniques, chemical analytical and effect-based methods and describing their application to various case studies, we can now offer advanced approaches for water quality monitoring and assessment. In particular, we can overcome the focus on a few selected pollutants that is so obviously inadequate to achieve the goals of the WFD.

Instead of disconnected environmental assessment of compounds and products for pesticidal, biocidal, pharmaceutical, industrial and other uses, a more comprehensive assessment approach is now a realistic option. In the field of economic instruments, well-developed and moderately priced bioassays could also serve in a modernization of, e.

Some European countries have already implemented effluent charges [ 21 ]. One perspective could be to replace one bioassay—BOD—with another bioassay, e. Such a shift could be designed to be cost-neutral to the current situation in the setting of new tariffs. This would mark a change in the focus from impacts related to direct oxygen depletion often a solved issue to toxicity-related impacts an emerging issue and provide an incentive for WWTP managers to reduce such emissions.

Given the technological accomplishment made with the joint efforts of the SOLUTIONS consortium and other efforts in the last years, it is now possible to consider mixture occurrence and mixture toxicity in aquatic organisms and ecosystems. The real impact on improving water quality will ultimately be measured by policy uptake for amending monitoring demands in a revised Water Framework Directive.

We believe that more balanced generation and utilization of exposure and effect data helps to foster evidence-based water quality assessments. Moreover, we are convinced that such an improved knowledge base will help to i develop more streamlined approaches to link chemical and ecological status monitoring and ii focus resources on major management tasks. Application of the advanced tools developed for comprehensive chemical fingerprinting and toxicity profiling, to test the proposed strategy, is still required.

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Kelly et al. Affiliation s. Water pollution results from adverse changes in physical, chemical, bacteriological, radioactive and ecological features of water sources. Water pollution is a quality change which not only disturb economical stability and but also restrict usage as a result of anthropogenic impacts. FAO is defined as mixing some substances that is harmful and hazardous to living resources and human health, injuring water quality into the water [1] [2]. Water quality is a very significant issue of critical importance in various nations and especially Turkey there is cause for concern.

Naturally, it is expected that freshwater supplies will dwindle in the near future and thus this requires careful examination and monitoring. There are also some obstacles that prevent the migration of the fish and also decrease the quality of water. In the past, the river was a precious source of water for drinking for the people living around, and for fishing. Nowadays, on the other hand, it is not possible to be used for irrigation due to the low quality and the influences of the abovementioned factors.

In Turkey, there are many regulations that are being constantly updated as related to water and the effects of pollution on this source. This regulation is mainly concerned with the fundamental principles to prevent contamination of water resources and their safe usage. The water resources include both freshwater and groundwater resources. Furthermore, the Turkish Standard TS regulates the water use for human consumption.

The fish populations in years and were compared Table 1 [4] [5]. Borders of the basin which constitutes 3. With km, it is the longest river in the Aegean Region. The majority of small tributaries dry out in summer. Table 1. It is also a very important river basin in terms of biodiversity, being subject to the effects of both the Mediterranean and continental climates. The locations of the eight stations selected for this study are shown in Figure 1. The stations were chosen deliberately to identify the degradation of the quality of the water as a result of the urban pollution observed in the area.

Station 2 is constituted by the Yenice Regulator. Station 4 is the Feslek Regulator. Figure 1. Cine and İkizdere streams. The temperature, pH and conductivity values were measured in the stations. The samples to be used for the measurements were brought to the laboratories as soon as possible to start the analyses. A Mercury Thermometer with 0. The Jenway conductometer was used to measure the electrical conductivity.

Multivariate Statistical Anlaysis in Water Quality

In order to analyze the results, the international algorithmic processes were implemented [6]. The measurements were made between the years and , in the months of February, April, and then June, August, October as well as December. The distribution of the data was shown by using the Box-Plot Graphs. The results were given in Tables Table 2. Table 3. Table 4.

The temperature value was the lowest in the Yenice Regulator The temperature was the lowest The pH was measured as the lowest 7. Figure 2. Figure 3. The Electrical Conductivity EC level was measured as the lowest The electrical conductivity EC is usually used for indicating the total concentration of charged ionic species in water [7]. The Chloride was measured as the lowest Figure 4. Figure 5.