Chemical Monitoring Program Research Articles

Persistent Organic Pollutants (POPs) in the European Union: Analysis of the NORMAN EMPODAT database system

EMPODAT database is a part of the NORMAN database system based on geo-referenced and biomonitoring and provides information on emerging environmental contaminants in various matrices such as air, water, soil, sewage, sludge, and biota. This database consists of data on newly emerging substances that are known to be present but not yet included in regular chemical monitoring programs. POPs are a global threat to the ecosystem and human health. POPs such as Pre and Perfluorochemicals (PFASs), Polybrominated diphenyl ethers (PBDEs), and Bisphenol A (BPA) are widely present in various environmental matrices and interfere with the normal function of the human body. The proposed research has analyzed the data from the EMPODAT NORMAN database system by focusing on PFASs, PBDEs, and BPA. The study is still ongoing. The data from 28 European countries, including international water, were retrieved and subjected to statistical analysis. The data were arranged according to their specific chemical concentration observed in respective environmental matrices and followed by a recording of fluctuations of these substances in specific time duration and environmental zone. The preliminary analysis shows the individual concentration of chemical substances retrieved from biota (fish, Molluscs, and Macrophytes), surface water (Adriatic Sea, Baltic Sea, Black Sea, Dahle, Danube, Ipel, Spree, Rhine rivers, etc.), groundwater (Adour-Garonne, Artois Picardie, Loire-Bretagne, Rhin-Meuse, Seine-Normandie, and Siverskyi Donets river basins), sediments (Adriatic Sea, Albarine, Anoia, Black sea, Cardener, Danube, North sea, Po, Scheldt estuary, Seine rivers, etc.), sewage sludge (Adour Garonne, Danube, Saronikos gulf river basins, etc.), and wastewater (Brenta, Danube, Itchen, Po, and Saronikos gulf river basins) that were reported over a period of time mostly from 2003 to 2016.

Non-targeted Screening in Environmental Monitoring Programs.

Contaminant monitoring programs have been tasked with understanding the fate and transport of toxic chemicals in the environment. Mass spectrometry based methods have traditionally beendeveloped to maximize sensitivity and accuracy of a select set of target compounds. As mass spectrometry methods have advanced, so has the breadth of questions proposed by environmental chemists. Incorporating these methods in chemical monitoring programs provides large data sets to explore the effects of complex mixtures on environmental systems.

Technical note: An anomaly in pH data in South Africa’s national water quality monitoring database – implications for future use

The South African national water quality database (Water Management System) houses data records from several environmental monitoring programmes, including the National Chemical Monitoring Programme (NCMP). The NCMP comprises an extensive surface water quality monitoring programme, managed by the Department of Water and Sanitation (DWS). The purpose of this technical note is to alert users to a systematic anomaly recently observed in the pH dataset of the NCMP, reflected in an abrupt increase between pre- and post-1990 data records. Although the cause of the anomaly in pH could not be confirmed with high confidence, an inappropriate acid rinse procedure in pre-1990 analytical methods was identified as the most likely cause, based on available evidence. This was supported by the variation in relative sensitivity when comparing the effect on waters with different buffering capacities, i.e., water with low buffering capacity (represented by total alkalinity < 10 mg/L, as CaCO3) showing the largest anomaly, compared with waters of higher buffering capacity (represented by total alkalinity > 30 mg/L, as CaCO3) showing the smallest anomaly. Historical pH data records in the NCMP (i.e. pre-1990), therefore should be used with caution, especially in more weakly buffered systems. The possibility of reconstructing data using a correction factor derived from detailed statistical analyses of the post-1990 pH characteristics at selected sites is a possible solution that could be investigated in future. A key lesson learnt is the need to be diligent in capturing detailed meta-data on sampling procedures and analytical methods in datasets spanning several generations. Availability of such information is critical in order to provide users with a means of evaluating the suitability and comparability of data records in long-term datasets. The DWS includes such meta-data in the current version of the database, dating from about 1995 onwards.

Development of a bioanalytical test battery for water quality monitoring: Fingerprinting identified micropollutants and their contribution to effects in surface water

Surface waters can contain a diverse range of organic pollutants, including pesticides, pharmaceuticals and industrial compounds. While bioassays have been used for water quality monitoring, there is limited knowledge regarding the effects of individual micropollutants and their relationship to the overall mixture effect in water samples. In this study, a battery of in vitro bioassays based on human and fish cell lines and whole organism assays using bacteria, algae, daphnids and fish embryos was assembled for use in water quality monitoring. The selection of bioassays was guided by the principles of adverse outcome pathways in order to cover relevant steps in toxicity pathways known to be triggered by environmental water samples. The effects of 34 water pollutants, which were selected based on hazard quotients, available environmental quality standards and mode of action information, were fingerprinted in the bioassay test battery. There was a relatively good agreement between the experimental results and available literature effect data. The majority of the chemicals were active in the assays indicative of apical effects, while fewer chemicals had a response in the specific reporter gene assays, but these effects were typically triggered at lower concentrations. The single chemical effect data were used to improve published mixture toxicity modeling of water samples from the Danube River. While there was a slight increase in the fraction of the bioanalytical equivalents explained for the Danube River samples, for some endpoints less than 1% of the observed effect could be explained by the studied chemicals. The new mixture models essentially confirmed previous findings from many studies monitoring water quality using both chemical analysis and bioanalytical tools. In short, our results indicate that many more chemicals contribute to the biological effect than those that are typically quantified by chemical monitoring programs or those regulated by environmental quality standards. This study not only demonstrates the utility of fingerprinting single chemicals for an improved understanding of the biological effect of pollutants, but also highlights the need to apply bioassays for water quality monitoring in order to prevent underestimation of the overall biological effect.

Bioaccumulation of PCB-153 and effects on molecular biomarkers acetylcholinesterase, glutathione-S-transferase and glutathione peroxidase in Mytilus galloprovincialis mussels

In this study, PCB-153 bioaccumulation kinetics and concentration-response experiments were performed employing wild Mytilus galloprovincialis mussels. In addition, the activity of three enzymatic biomarkers: glutathione S-transferase (GST), glutathione peroxidase (GPx) and acetylcholinesterase (AChE), were measured in the mussel gills. The experimental data fitted well to an asymptotic accumulation model with a high bioconcentration factor (BCF) of 9324 L kg−1 and a very limited depuration capacity, described by a low excretion rate coefficient (Kd = 0.083 d−1). This study reports by first time in mussels significant inhibition of GST activity and significant induction of GPx activity as a result of exposure to dissolved PCB-153. In contrast, AChE activity was unaffected at all concentrations and exposure times tested. The effects on both enzymes are time-dependent, which stresses the difficulties inherent to the use of these biomarkers in chemical pollution monitoring programs.

Development of LC-MS/MS methodology for the detection/determination and confirmation of chloramphenicol, chloramphenicol 3-O-β-d-glucuronide, florfenicol, florfenicol amine and thiamphenicol residues in bovine, equine and porcine liver.

A method for the detection and confirmation of organic solvent extractable residues of the neutral, acidic, and basic analytes of the amphenicol class veterinary drugs and selected metabolites was developed and validated. Using a modified QuEChERS extraction with SPE cleanup and LC-MS/MS analysis, limits of detection and confirmation for the different analytes in bovine, equine, and porcine liver ranged from 0.1ng/g for chloramphenicol to 1ng/g for florfenicol amine. Tissue homogenization with an ammonium formate/EDTA solution and subsequent analyte partitioning against 7:3 acetonitrile:isopropanol solution and mixed-mode strong-cation exchange solid-phase extraction cartridge cleanup allowed for the extraction of all compounds from tissues with mean recoveries ranging from 50% (chloramphenicol 3-O-β-d-glucuronide) to 90% (thiamphenicol). Matrix effects ranged from greater than 85% suppression for florfenicol amine to 70% matrix enhancement for chloramphenicol 3-O-β-d-glucuronide. Quantitation and confirmation were accomplished using commercially available penta-deuterated chloramphenicol as internal standard and multiple reaction monitoring (MRM) of two or three transitions per target analyte. Method accuracy was greater than 15% for all compounds except the glucuronide metabolite. Intra-lab method repeatability estimates ranged from 73% RSD for chloramphenicol 3-O-β-d-glucuronide to 14% RSD for chloramphenicol. Only chloramphenicol 3-O-β-d-glucuronide and florfenicol amine at the low end of their calibration ranges (0.25 and 1ng/g, respectively) did not meet AOAC recommended HorRatr guidelines for intra-lab repeatabilities. Preliminary tests show that the method's extraction protocol can be used to recover analytes of the β-agonists, corticosteroids, fluoroquinolones, sulfonamides, and tetracycline drug classes from the same matrices. Requirements for use in national chemical monitoring programs as a detection/confirmatory (florfenicol amine and chloramphenicol 3-O-β-d-glucuronide) and determinative/confirmatory (chloramphenicol, florfenicol, thiamphenicol) analytical methodology are met.

A new multimedia contaminant fate model for China: How important are environmental parameters in influencing chemical persistence and long-range transport potential?

We present a new multimedia chemical fate model (SESAMe) which was developed to assess chemical fate and behaviour across China. We apply the model to quantify the influence of environmental parameters on chemical overall persistence (POV) and long-range transport potential (LRTP) in China, which has extreme diversity in environmental conditions. Sobol sensitivity analysis was used to identify the relative importance of input parameters. Physicochemical properties were identified as more influential than environmental parameters on model output. Interactive effects of environmental parameters on POV and LRTP occur mainly in combination with chemical properties. Hypothetical chemicals and emission data were used to model POV and LRTP for neutral and acidic chemicals with different KOW/DOW, vapour pressure and pKa under different precipitation, wind speed, temperature and soil organic carbon contents (fOC). Generally for POV, precipitation was more influential than the other environmental parameters, whilst temperature and wind speed did not contribute significantly to POV variation; for LRTP, wind speed was more influential than the other environmental parameters, whilst the effects of other environmental parameters relied on specific chemical properties. fOC had a slight effect on POV and LRTP, and higher fOC always increased POV and decreased LRTP. Example case studies were performed on real test chemicals using SESAMe to explore the spatial variability of model output and how environmental properties affect POV and LRTP. Dibenzofuran released to multiple media had higher POV in northwest of Xinjiang, part of Gansu, northeast of Inner Mongolia, Heilongjiang and Jilin. Benzo[a]pyrene released to the air had higher LRTP in south Xinjiang and west Inner Mongolia, whilst acenaphthene had higher LRTP in Tibet and west Inner Mongolia. TCS released into water had higher LRTP in Yellow River and Yangtze River catchments. The initial case studies demonstrated that SESAMe performed well on comparing POV and LRTP of chemicals in different regions across China in order to potentially identify the most sensitive regions. This model should not only be used to estimate POV and LRTP for screening and risk assessments of chemicals, but could potentially be used to help design chemical monitoring programmes across China in the future.

CURRENT STATUS OF AMBEWELA RESERVOIR OF SRI LANKA WITH SPECIALREFERENCE TO WATER POLLUTION

The water pollution trends in the Ambewela reservoir at the uppermost catchment of Kotmale River was assessed through a study on chemical and bio monitoring programme that carried out from March to October 2008.The mean average value (mean ± SD) of the nitrate, nitrite, phosphate and ammonia concentrations in Ambewela reservoir were 0.780 ± 1.386 mg/l, 0.103 ± 0.223mg/l, 0.051 ± 0.061mg/l and 0.218± 0.261 mg/l whereas values for the streams selected from Dambagasthalawa Oya were 0.985 ± 0.902 mg/l, 0.099 ± 0.207mg/l, 0.038 ± 0.026 mg/l and 0.085± 0.077 mg/l respectively. Average Chlorophyll- a values of the reservoir were 17.85 ± 17.858 mg/m3 and 8.30 ± 4.686 mg/m3for other two streams accordingly. Average BOD values of the reservoir were 8.06 ± 3.494 and 4.25 ± 2.251 for other two streams correspondingly.The bio monitoring studies also clearly showed sudden records of huge colonies of Hydra(approximately 258/cm3) in the reservoir from time to time. This phenomenon was found in relatively dry period that directly coincided with intensified use of agro chemicals. Moreover, steady population of Chironomid (average population density 208/cm3) that is commonly accepted pollution indicator was reported at Ambewela reservoir throughout the study period.Therefore, both chemical and bio monitoring studies indicate eutrophic condition in Ambewela reservoir in which long run might affect on the ecology of the entire ecosystem. Hence prompt mitigatory action should be implemented to avoid further depletion.Key Words: Ambewela Reservoir, Water Pollution, Physico-Chemical Parameters, Chlorophyll –a

Chemical monitoring strategy for the assessment of advanced water treatment plant performance

A pilot-scale plant was employed to validate the performance of a proposed full-scale advanced water treatment plant (AWTP) in Sydney, Australia. The primary aim of this study was to develop a chemical monitoring program that can demonstrate proper plant operation resulting in the removal of priority chemical constituents in the product water. The feed water quality to the pilot plant was tertiary-treated effluent from a wastewater treatment plant. The unit processes of the AWTP were comprised of an integrated membrane system (ultrafiltration, reverse osmosis) followed by final chlorination generating a water quality that does not present a source of human or environmental health concern. The chemical monitoring program was undertaken over 6 weeks during pilot plant operation and involved the quantitative analysis of pharmaceuticals and personal care products, steroidal hormones, industrial chemicals, pesticides, N-nitrosamines and halomethanes. The first phase consisted of baseline monitoring of target compounds to quantify influent concentrations in feed waters to the plant. This was followed by a period of validation monitoring utilising indicator chemicals and surrogate measures suitable to assess proper process performance at various stages of the AWTP. This effort was supported by challenge testing experiments to further validate removal of a series of indicator chemicals by reverse osmosis. This pilot-scale study demonstrated a simplified analytical approach that can be employed to assure proper operation of advanced water treatment processes and the absence of trace organic chemicals.

Chemical monitoring strategy for the assessment of advanced water treatment plant performance

A pilot-scale plant was employed to validate the performance of a proposed full-scale advanced water treatment plant (AWTP) in Sydney, Australia. The primary aim of this study was to develop a chemical monitoring program that can demonstrate proper plant operation resulting in the removal of priority chemical constituents in the product water. The feed water quality to the pilot plant was tertiary-treated effluent from a wastewater treatment plant. The unit processes of the AWTP were comprised of an integrated membrane system (ultrafiltration, reverse osmosis) followed by final chlorination generating a water quality that does not present a source of human or environmental health concern. The chemical monitoring program was undertaken over 6 weeks during pilot plant operation and involved the quantitative analysis of pharmaceuticals and personal care products, steroidal hormones, industrial chemicals, pesticides, N-nitrosamines and halomethanes. The first phase consisted of baseline monitoring of target compounds to quantify influent concentrations in feed waters to the plant. This was followed by a period of validation monitoring utilising indicator chemicals and surrogate measures suitable to assess proper process performance at various stages of the AWTP. This effort was supported by challenge testing experiments to further validate removal of a series of indicator chemicals by reverse osmosis. This pilot-scale study demonstrated a simplified analytical approach that can be employed to assure proper operation of advanced water treatment processes and the absence of trace organic chemicals.

Chemical transport models

Improving the parameterization of processes in the atmospheric boundary layer (ABL) and surface layer, in air quality and chemical transport models. To do so, an asymmetrical, convective, non-local scheme, with varying upward mixing rates is combined with the non-local, turbulent, kinetic energy scheme for vertical diffusion (COM). For designing it, a function depending on the dimensionless height to the power four in the ABL is suggested, which is empirically derived. Also, we suggested a new method for calculating the in-canopy resistance for dry deposition over a vegetated surface. The upward mixing rate forming the surface layer is parameterized using the sensible heat flux and the friction and convective velocities. Upward mixing rates varying with height are scaled with an amount of turbulent kinetic energy in layer, while the downward mixing rates are derived from mass conservation. The vertical eddy diffusivity is parameterized using the mean turbulent velocity scale that is obtained by the vertical integration within the ABL. In-canopy resistance is calculated by integration of inverse turbulent transfer coefficient inside the canopy from the effective ground roughness length to the canopy source height and, further, from its the canopy height. This combination of schemes provides a less rapid mass transport out of surface layer into other layers, during convective and non-convective periods, than other local and non-local schemes parameterizing mixing processes in the ABL. The suggested method for calculating the in-canopy resistance for calculating the dry deposition over a vegetated surface differs remarkably from the commonly used one, particularly over forest vegetation. In this paper, we studied the performance of a non-local, turbulent, kinetic energy scheme for vertical diffusion combined with a non-local, convective mixing scheme with varying upward mixing in the atmospheric boundary layer (COM) and its impact on the concentration of pollutants calculated with chemical and air-quality models. In addition, this scheme was also compared with a commonly used, local, eddy-diffusivity scheme. Simulated concentrations of NO2 by the COM scheme and new parameterization of the in-canopy resistance are closer to the observations when compared to those obtained from using the local eddy-diffusivity scheme. Concentrations calculated with the COM scheme and new parameterization of in-canopy resistance, are in general higher and closer to the observations than those obtained by the local, eddy-diffusivity scheme (on the order of 15-22%). To examine the performance of the scheme, simulated and measured concentrations of a pollutant (NO2) were compared for the years 1999 and 2002. The comparison was made for the entire domain used in simulations performed by the chemical European Monitoring and Evaluation Program Unified model (version UNI-ACID, rv2.0) where schemes were incorporated.

Monitoring programme revision highlights long-term salinity changes in selected South African rivers and the value of comprehensive long-term data sets

Determination of data adequacy for detection of long-term salinity changes was an important task in the revision of the South African National Chemical Monitoring Programme (NCMP). The NCMP has been running for more than 30 years with several hundred active monitoring sites. Twenty-five sites on major rivers had sufficient continuous data for the estimation of salinity changes over a 25-year period and statistically significant upward or downward trends occurred at 17 of the 25 sites. Most sites were too far apart for detailed analysis of whole river systems, though an upward trend is apparent in the Lower Orange River and a downward trend in the Great Fish River. Salinity in the Tugela River remained stable, well below the 70 mS m( - 1) guideline for drinking water. The results underline the importance of long-term data sets for assessing and managing aquatic systems and provide the impetus to continue building and maintaining long-term sampling programmes.

Development of a nonlocal convective mixing scheme with varying upward mixing rates for use in air quality and chemical transport models

Asymmetrical convective non-local scheme (CON) with varying upward mixing rates is developed for simulation of vertical turbulent mixing in the convective boundary layer in air quality and chemical transport models. The upward mixing rate form the surface layer is parameterized using the sensible heat flux and the friction and convective velocities. Upward mixing rates varying with height are scaled with an amount of turbulent kinetic energy in layer, while the downward mixing rates are derived from mass conservation. This scheme provides a less rapid mass transport out of surface layer into other layers than other asymmetrical convective mixing schemes. In this paper, we studied the performance of a nonlocal convective mixing scheme with varying upward mixing in the atmospheric boundary layer and its impact on the concentration of pollutants calculated with chemical and air-quality models. This scheme was additionally compared versus a local eddy-diffusivity scheme (KSC). Simulated concentrations of NO(2) and the nitrate wet deposition by the CON scheme are closer to the observations when compared to those obtained from using the KSC scheme. Concentrations calculated with the CON scheme are in general higher and closer to the observations than those obtained by the KSC scheme (of the order of 15-20%). Nitrate wet deposition calculated with the CON scheme are in general higher and closer to the observations than those obtained by the KSC scheme. To examine the performance of the scheme, simulated and measured concentrations of a pollutant (NO(2)) and nitrate wet deposition was compared for the year 2002. The comparison was made for the whole domain used in simulations performed by the chemical European Monitoring and Evaluation Programme Unified model (version UNI-ACID, rv2.0) where schemes were incorporated.

Biomarkers: a strategic tool in the assessment of environmental quality of coastal waters

Ecosystems are under the pressure of complex mixtures of contaminants whose effects are not always simple to assess. Biomarkers, acting as early warning signals of the presence of potentially toxic xenobiotics, are useful tools for assessing either exposure to, or the effects of these compounds providing information about the toxicant bioavailability. In fact, it has been argued that a full understanding of ecotoxicological processes must consider an integrated multi-level approach, in which molecular impact is related with higher-order biological consequences at the individual, population and community levels. Monitoring programs should make use of this tool to link contaminants and ecological responses fulfilling strategies like those launched by OSPAR (Commissions of Oslo and Paris) Convention on the protection of the marine environment of the North-East Atlantic and the International Council for the Exploration of the Sea (ICES). An overview of the work done in the past few years using biomarkers as in situ tools for pollution assessment in Portuguese coastal waters is presented as a contribution to the set up of a biomonitoring program for the Portuguese coastal zone. Considering the data set available the biomonitoring proposal should include the analysis of biomarkers and effects at individual levels. The aim of the program will include a spatial and temporal characterization of the biomarkers acetyl-cholinesterase, metallothioneins, DNA damage, adenylate energy charge and scope-for-growth levels. The investigation of the spatial variation of biomarkers is crucial to define sites for long term monitoring, which will be integrated with a chemical monitoring program. This framework will be a major contribution to the implementation of a national database for the use of biomarkers along the Portuguese coast.

Using the expert model PERPEST to translate measured and predicted pesticide exposure data into ecological risks

An important topic in the registration of pesticides and the interpretation of monitoring data is the estimation of the consequences of a certain concentration of a pesticide for the ecology of aquatic ecosystems. Solving these problems requires predictions of the expected response of the ecosystem to chemical stress. Up until now, a dominant approach to come up with such a prediction is the use of simulation models or safety factors. The disadvantage of the use of safety factors is a crude method that does not provide any insight into the concentration–response relationships at the ecosystem level. On the other hand, simulation models also have serious drawbacks like that they are often very complex, lack transparency, their implementation is expensive and there may be a compilation of errors, due to uncertainties in parameters and processes. In this paper, we present the expert model prediction of the ecological risks of pesticides (PERPEST) that overcomes these problems. It predicts the effects of a given concentration of a pesticide based on the outcome of already performed experiments using experimental ecosystems. This has the great advantage that the outcome is more realistic. The paper especially discusses how this model can be used to translate measured and predicted concentrations of pesticides into ecological risks, by taking data on measured and predicted concentrations of atrazine as an example. It is argued that this model can be of great use to evaluate the outcome of chemical monitoring programmes (e.g. performed in the light of the Water Framework Directive) and can even be used to evaluate the effects of mixtures.

Electrochemical Generation of Perchlorate Ions in Chlorinated Drinking Water

Abstract A scheduled, uncontrolled chemical monitoring program conducted by the Texas Rural Water Association during the spring of 2002 discovered perchlorate contamination in an elevated drinking water storage tank. The contaminated elevated storage tank (EST) was part of the Levelland, Texas municipal water distribution system. Subsequent investigations revealed that the most likely source of the perchlorate contamination was the impressed current corrosion protection system, which generated the perchlorate electrochemically in situ from the chlorinated drinking water stored in the tank. As a part of the authors' investigation into this phenomenon, batch scale laboratory experiments were designed and used to produce perchlorate ions in chlorinated tap water using an imposed electrical (direct current [DC]) current. This in situ generation process was found to follow an autocatalytic mechanism with respect to perchlorate ion concentration. Moreover, in parallel experiments, double-distilled water spiked ...

Augmentation of a Long-term Monitoring Program for Lake George, NY by Citizen Volunteers

ABSTRACT Drinking water standards and recreational demands on lakes and ponded waters place a high priority on the management of water quality. As stakeholders, volunteer citizen monitors can provide considerable assistance to state agencies and research organizations charged with monitoring freshwater resources by accumulating valuable data for water quality evaluation and lake assessment. The Lay Monitoring Program on Lake George (NY) was initiated in 1980 concomitant with the establishment of a long-term chemical monitoring program. By 2002, 23 years of Secchi transparency and surface temperature data had been collected. Results have revealed potential relationships between variations in Secchi transparency and trophic indicators (chlorophyll a and total phosphorus) and have assisted in evaluating the potential influences of both increased recreational use and precipitation regime. Lay monitor participation provides a valuable and cost effective enhancement for ongoing lake chemical and biotic effect studies. The integration of lay monitor Secchi data improves the breadth and consistency of long-term datasets, thereby increasing the program effectiveness in detecting incremental changes in water quality.

The Mussel Watch approach and its applicability to global chemical contamination monitoring programmes

Although the use of biological monitors has become a standard practice in different national and international programmes over the past two decades, there are several complicating factors that need to be taken into account when sampling over large geographical extensions. Species availability, physiological conditions, and climatic variables encountered over large areas of study are a few of the factors that need to be considered in order to produce data that are meaningful and comparable. Thus, the applicability of the Mussel Watch concept to global chemical contamination monitoring programmes requires careful planning and design of a sampling strategy to try to minimise the effects of these factors.

Comparison of chemical concentrations in mussels and oysters from the United States and France

Results from two ''Mussel Watch''-type monitoring programs were compared: the Reseau National d'Observation de la qualite du milieu marin (RNO), the French monitoring network, and the Mussel Watch Project of the U.S. National Status and Trends (NS&T) Program. 80 RNO sites (47 for mussels and 33 for oysters) and 89 NS&T sites (45 for mussels and 44 for oysters) provided a basis for the comparison of median concentrations of commonly measured trace metals (mercury, lead, zinc, cadmium and copper) and organic chemicals. Lower lead and lindane concentrations in the U.S. were explained by their respective history of use. Differences in Zn and Cu, essential elements for both mussels and oysters, could be due to specific internal regulation processes. Higher cadmium concentrations in the U.S. are possibly related to U.S. coastal areas being richer in nutrients or to a lesser use of this element as a general anticorrosive in France. We could not find any plausible explanation for higher mercury concentrations in France. This first attempt of a comparison of national chemical monitoring programs raises the need for deeper understanding of possible contamination sources.

Chemical monitoring in Sullom Voe: the SOTEAG and statutory programmes

SynopsisTwo chemical monitoring programmes have operated in Sullom Voe since 1978, a statutory programme which measures levels of contaminants in the area of the diffuser outfall and the SOTEAG programme which measures contamination in the wider area of Sullom Voe and Yell Sound. Both programmes were in place prior to the operation of the terminal and had gathered useful information. The subsequent information provided annually by the two monitoring programmes during the operations of the terminal has allowed accurate assessment of the levels of contamination in the area of operation and has shown that the contamination from heavy metals and hydrocarbons in the Sullom Voe area is at the lower end of the range of levels encountered in mainland estuarine regions.