Evaluation of the impact of different sewage treatment processes on shellfishery pollution using a geographic information system (GIS)

• Published in: Water science and technology 1998, Vol.38 (12), p.15-22
• Main Authors: Lee, R.J., Glover, R.J.O.
• Format: Article
• Language: English
• Subjects: Animal aquaculture; Animal productions; Animal, plant and microbial ecology; Applied ecology; Biological and medical sciences; Bivalvia; Clams; Cockles; Computer software; Contamination; Data; Discharge; Ecotoxicology, biological effects of pollution; Evaluation; Fundamental and applied biological sciences. Psychology; Gastroenteritis; Geographic information systems; Geographical information systems; GIS; Harvesting; Health risks; Hepatitis; Hygiene; Information systems; Invertebrate aquaculture; Marine molluscs; Microorganisms; Mollusca; Mollusks; Monitoring; Mussels; Oysters; Pathogens; Policies; Reduction; Remote sensing; Satellite navigation systems; Sewage; Sewage disposal; Sewage treatment; Shellfish; Shellfish fisheries; Techniques; Wastewater treatment; Water pollution; Water quality
• ISSN: 0273-1223; 1996-9732
• DOI: 10.1016/S0273-1223(98)00794-X

Filter-feeding bivalve molluscs such as oysters, clams, mussels and cockles can concentrate microorganisms, including pathogens, from contaminated waters. Consumption of shellfish contaminated by human sewage may then result in illness such as viral gastroenteritis or infectious hepatitis. Under the EC Shellfish Hygiene Directive (91/492/EEC) controls are placed on the commercial harvesting of shellfish from such areas in order to reduce the risk of infection. Reduction of contamination should result in a reduction of the risk of illness and should also increase the commercial potential of harvesting areas. Predicting the effect of change in sewage treatment type on the extent of contamination of nearby shellfisheries is more difficult than predicting the effect on water quality. A geographic information system (GIS) was used to relate microbiological data obtained from shellfish monitoring to the type and size of sewage discharges in the vicinity of harvesting areas. Data extracted using the GIS were further analysed using a statistical software package. The generic relationships obtained using this method were tested against shellfish monitoring data obtained from the vicinity of individual sewage improvement schemes. The results are discussed in relation to the most appropriate policy for capital investment on discharge schemes impacting molluscan shellfisheries.