(a) This section contains two alternative
methods for calculating the annual trigger. One method shall be proposed by the
applicant to be approved and applied by the Department for a remining
permit.
(b) Method 1 for calculating
and applying an annual trigger (T) is accomplished by completing the following
steps:
(1) Calculate M and
M
1 of the baseline loading data as described under
Method 1 for the single observation trigger in §
87.212(b)
(relating to procedure for calculating and applying a single-observation
(monthly) trigger).
(2) Calculate
M-1 as the median of the baseline data which are less
than or equal to the sample median M.
(3) Calculate the interquartile range, R =
(M1 - M-1).
(4) The annual trigger for baseline (Tb) is
calculated as
Tb=M+(1.815*R)/SQRT(n)
where n is the number of baseline loading
observations.
(5) To compare
baseline loading data to observations from the annual monitoring period, repeat
the steps in paragraphs (1)-(3) for the set of monitoring observations. Label
the results of the calculations M' and R'. Let m be the number of monitoring
observations.
(6) The subtle
trigger (Tm) of the monitoring data is calculated as
Tm=M'-(1.815*R')/SQRT(m)
(7) If Tm > Tb, the median loading of the
monitoring observations has exceeded the baseline loading.
(c) Method 2 for calculating and applying an
annual trigger (T) is accomplished by completing the following steps:
(1) Let n be the number of baseline loading
observations taken, and let m be the number of monitoring loading observations
taken. To sufficiently characterize pollutant loadings during baseline
determination and during each annual monitoring period, it is required that at
least one sample result be obtained per month for a period of 12 months.
(2) Order the combined baseline
and monitoring observations from smallest to largest.
(3) Assign a rank to each observation based
on the assigned order: the smallest observation will have rank 1, the next
smallest will have rank 2 and so forth, up to the highest observation, which
will have rank n + m. If two or more observations are tied (have the same
value), then the average rank for those observations should be used.
(4) Sum all the assigned ranks of the n
baseline observations, and let this sum be Sn.
(5) Obtain the critical value (C) from Table
1.
(6) Compare C to
Sn. If Sn is less than C, then
the monitoring loadings have exceeded the baseline loadings.
(7) Critical values for the
Wilcoxon-Mann-Whitney test are as follows:
(i)
When n and m are less than 21, use Table 1. To find the appropriate critical
value, match column with correct n (number of baseline observations) to row
with correct m (number of monitoring observations).
Table 1-Critical Values (C) of the
Wilcoxon-Mann-Whitney Test (for a one-sided test at the 0.001 significance
level)
|
nm
|
10 |
11 |
12 |
13 |
14 |
15 |
16 |
17 |
18 |
19 |
20 |
| 10 |
66 |
79 |
93 |
109 |
125 |
142 |
160 |
179 |
199 |
220 |
243 |
| 11 |
68 |
82 |
96 |
112 |
128 |
145 |
164 |
183 |
204 |
225 |
248 |
| 12 |
70 |
84 |
99 |
115 |
131 |
149 |
168 |
188 |
209 |
231 |
253 |
| 13 |
73 |
87 |
102 |
118 |
135 |
153 |
172 |
192 |
214 |
236 |
259 |
| 14 |
75 |
89 |
104 |
121 |
138 |
157 |
176 |
197 |
218 |
241 |
265 |
| 15 |
77 |
91 |
107 |
124 |
142 |
161 |
180 |
201 |
223 |
246 |
270 |
| 16 |
79 |
94 |
110 |
127 |
145 |
164 |
185 |
206 |
228 |
251 |
276 |
| 17 |
81 |
96 |
113 |
130 |
149 |
168 |
189 |
211 |
233 |
257 |
281 |
| 18 |
83 |
99 |
116 |
134 |
152 |
172 |
193 |
215 |
238 |
262 |
287 |
| 19 |
85 |
101 |
119 |
137 |
156 |
176 |
197 |
220 |
243 |
268 |
293 |
| 20 |
88 |
104 |
121 |
140 |
160 |
180 |
202 |
224 |
248 |
273 |
299 |
(ii) When n or m is greater than 20 and there
are few ties, calculate an approximate critical value using the following
formula and round the result to the next larger integer. Let N = n + m.
Critical Value=0.5*n*(N+1)-3.0902*SQRT(n*m(N+1)/12)
(iii) When n or m is
greater than 20 and there are many ties, calculate an approximate critical
value using the following formula and round the result to the next larger
integer. Let S be the sum of the squares of the ranks or average ranks of all N
observations. Let N = n + m.
Critical Value=0.5*n*(N+1)-3.0902*SQRT(V)
In the preceding formula, calculate V using:
V=(n*m*S)/(N*(N-1)-(n*m*(N+1)2/(4*(N-1))