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The effect of wind speed and direction on the distribution of sewage‐associated bacteria
Author(s) -
Smith P.,
Carroll C.,
Wilkins B.,
Johnson P.,
Gabhainn S. Nic,
Smith L. P.
Publication year - 1999
Publication title -
letters in applied microbiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.698
H-Index - 110
eISSN - 1472-765X
pISSN - 0266-8254
DOI - 10.1046/j.1365-2672.1999.00507.x
Subject(s) - outfall , wind direction , environmental science , sewage , wind speed , salinity , sampling (signal processing) , sample (material) , hydrology (agriculture) , biology , ecology , meteorology , environmental engineering , geology , geography , chemistry , physics , geotechnical engineering , chromatography , detector , optics
A study of the relationship between wind and the distribution of sewage‐associated bacteria was undertaken at a location where the sewage was discharged into the sea adjacent to the mouth of a river. The numbers of presumptive Escherichia coli were determined in 149 sea‐water samples taken from three locations at distances of 1·9, 2·4 and 4·3 km from the outfall. On each sampling occasion, data on the wind speed and direction in the 3 h prior to collection of the samples were also collected. Analysis of these data demonstrated a significant role for wind speed and direction. With respect to wind direction, the numbers of presumptive E. coli present in a sample were significantly higher when the sample site lay downwind of the outfall. Wind speed was shown to have an influence on the numbers of presumptive E. coli only when the sample site was downwind of the outfall. In an analysis of 61 samples, an inverse correlation ( r 2 = 0·73) between salinity and log presumptive E. coli numbers was demonstrated. These data demonstrate that wind speed and direction at the time of sampling significantly influence the numbers of presumptive E. coli detected in any sea‐water sample. It is argued that failure to pay sufficient attention to these parameters in the design of monitoring programmes may result in the generation of data that could provide a seriously distorted picture of the microbiological status of a water body.