Abstract:
In many regions of the world, untreated wastewater is discharged directly into rivers
containing sanitary determinands including ammonia, nitrite and organic matter which
places a demand on dissolved oxygen in the water. The wastewater may also contain
chemical ingredients of home and personal care products. When sewage treatment is
lacking, often in developing regions, these sanitary determinands and down-the-drain
chemicals may be present at high concentrations in surface waters which may
adversely impact the ecological communities present downstream of the effluent
outfall. Some studies have studied these ecological effects by sampling the taxa
present at regular intervals downstream of an wastewater outfall, from which a
common pattern in terms of macroinvertebrate species richness, dominance and
diversity throughout the impact zone is evident. The aim of the project was to develop
a conceptual model in order to predict the ecological composition downstream of an
effluent outfall, as a result of multiple stressors’ concentration gradients. The model
combines water quality data and toxicity data of the stressors on aquatic organisms, in
the form of species sensitivity distributions (SSDs) to predict this impact. The model
was based on selected stressors: ammonia, nitrite and dissolved oxygen which are
present, in particular, in untreated wastewater; and two chemical ingredients used in
home and personal care products which are washed down-the-drain. The model was
applied to data from a field study on the South Elkhorn Creek in Kentucky, USA.
Predicted effects on taxonomic composition were in line with field observations,
although further enhancements to the model could incorporate more environmental
realism. This was a useful step in the direction to creating a conceptual model of the
impact zone ecology in rivers.
