SCHEDULE 3 continued PART 2
8. Where any bathing water profile indicates a potential for cyanobacterial proliferation, the Agency must undertake appropriate monitoring at the bathing water at the frequency necessary to allow adequate management measures to be put in place in accordance with regulation 12.
9. Where any bathing water profile indicates a tendency for proliferation of macro-algae or marine phytoplankton, the Agency must undertake investigations at the bathing water to allow adequate management measures to be put in place in accordance with regulation 12.
10. The Agency must undertake visual inspections at every bathing water at the frequency necessary to allow adequate management measures to be put in place in accordance with regulation 12.
Regulation 11
1. The Agency must use the following standards for classification—
(1)
Colony forming units per 100 millilitres (“cfu/100 ml”). |
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(2)
Based upon a 95-percentile evaluation – see paragraph 2. |
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(3)
Based upon a 90-percentile evaluation – see paragraph 2. |
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| Parameter | “Excellent” | “Good” | “Sufficient” |
|---|---|---|---|
| Intestinal enterococci(1) | 200(2) | 400(2) | 330(3) |
| Escherichia coli(1) | 500(2) | 1,000(2) | 900(3) |
(1)
Colony forming units per 100 millilitres (“cfu/100 ml”). |
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(2)
Based upon a 95-percentile evaluation – see paragraph 2. |
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(3)
Based upon a 90-percentile evaluation – see paragraph 2. |
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| Parameter | “Excellent” | “Good” | “Sufficient” |
|---|---|---|---|
| Intestinal enterococci(1) | 100(2) | 200(2) | 185(3) |
| Escherichia coli(1) | 250(2) | 500(2) | 500(3) |
2.—(1) In this Schedule, “percentile value” is based on a percentile evaluation of the log10 normal probability density function of microbiological data used for the assessment under regulation 10.
(2) The Agency must derive a percentile value as follows—
(a) take the log10 value of all bacterial concentrations in the data sequence to be evaluated or, if a zero value is obtained, take the log10 value of the minimum detection limit of the analytical method used;
(b) calculate the arithmetic mean (“μ”) of the log10 values taken under paragraph (a);
(c) calculate the standard deviation (“σ”) of the log10 values taken under paragraph (a);
(d) derive the upper 90-percentile point of the data probability density function from the following equation: upper 90-percentile = antilog (μ + 1.282 σ); and
(e) derive the upper 95-percentile point of the data probability density function from the following equation: upper 95-percentile = antilog (μ + 1.65 σ).
3.—(1) At the end of every bathing season, the Agency must classify a bathing water as “poor” if, in the set of bathing water quality data used, the percentile values for microbiological concentrations are higher than the “sufficient” standards set out in paragraph 1.
(2) At the end of every bathing season, the Agency must classify a bathing water as “sufficient” if—
(a) in the set of bathing water quality data, the percentile values for microbiological concentrations are equal to or lower than the “sufficient” standards set out in paragraph 1; and
(b) the bathing water is not classifiable as “good” or “excellent”.
(3) At the end of every bathing season, the Agency must classify a bathing water as “good” if—
(a) in the set of bathing water quality data, the percentile values for microbiological concentrations are equal to or lower than the “good” standards set out in paragraph 1; and
(b) the bathing water is not classifiable as “excellent”.
(4) At the end of every bathing season, the Agency must classify a bathing water as “excellent” if, in the set of bathing water quality data used, the percentile values for microbiological concentrations are equal to or lower than the “excellent” standards set out in paragraph 1.