Anders Bignert, Dep. of Contaminant Research 06.10.27 Randomization and stratification — a model...
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Transcript of Anders Bignert, Dep. of Contaminant Research 06.10.27 Randomization and stratification — a model...
Anders Bignert, Dep. of Contaminant Research 06.10.27
Randomization and stratification Randomization and stratification — — a model analysis at different a model analysis at different
variation scenariosvariation scenarios
Swedish Museum of Natural History
TidsserierCB-153, ug/g lipid w., guillemot egg
St Karlson(tot)=148,n(yrs)=15
0
2
4
6
8
10
12
14
16
18
88 90 92 94 96 98 00 02
m=5.15 (4.18,6.35)slope=-8.0%(-9.7,-6.3)SD(lr)=.13,2.4%,10 yrpower=1.0/.86/4.7%y(02)=2.95 (2.57,3.38)r2=.89, p<.001 *tao=-.87, p<.001 *SD(sm)=.18, n.s.
pia - 03.11.26 09:27, 153u
Timeseries
Pow
er
.0
.1
.2
.3
.4
.5
.6
.7
.8
.9
slope %
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
pia - 03.09.15 18:05, cur035a
SD(lr) = 0.35
Power as a function of slope (annual change in %) at log-linear regression analysis at a residual standard deviation on a log-scale of 0.35, assuming normally distributed residuals. The graphs, from left to right, represent sampling every, every-second, third and fourth year, respectively based on Monte Carlo simulations at 10,000 runs.
Sampling frequency
Sampling period = 12 years
Spatial monitoring
Objectives?
• Estimate mean and variance
• Regional differences
• Spatial trends
• Level in relation to class limit
Figur II. Variogram som visar hur skillnaden mellan prov (CB-118, pg/g färskvikt i strömmings muskel från Bottenhavet) ökar med ökande avstånd.
Sem
ivar
ainc
e (%
)
.0
.5
1.0
1.5
2.0
2.5
Distance (km) 0 25 50 75 100 125 150 175 200 225 250 275
pia - 06.10.21 20:13, pol
Sample variogram
< 2.5
2.5 - 5.0
5.0 - 7.5
7.5 - 10
10 - 15
Pb ug/g dry wt.
Lead, 2000
TISS - 02.09.26 13:11, pbm00
< 2.5
2.5 - 5.0
5.0 - 7.5
7.5 - 10
10 - 15
> 15
Pb ug/g dry wt.
Lead, 1990
TISS - 02.09.26 13:14, pbm90
2003, NB64P
n of
sp
ecie
s
0
2
4
6
8
10
12
14
16
18
n of stations
0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44 46 48
pia - 04.02.29 00:13, ks1
N of species – n of samples (nets)
Randomization technique
Sampling design
TISS - 05.03.20 00:58, 090100
Random design
TISS - 06.08.18 08:54, fig1b
Unaligned square lattice design
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
TISS - 02.03.16 22:51, 6aln
Sobol sequence
TISS - 06.08.17 16:06, m111
CV = 10%
1 1 1
0
10
20
30
40
50
60
70
80
90
100
0 5 10 15 20 25 30 35 0
5
10
15
20
25
0 5 10 15 20 25 30 35
pia - 06.08.17 14:48, p111
Distance to class limit:
25, 15, 10 , 5%
TISS - 06.08.17 17:10, ts111_20
CV=20%, normal distributed
CV = 20%
0
10
20
30
40
50
60
70
80
90
100
0 5 10 15 20 25 30 35 40 45 0
5
10
15
20
25
30
0 5 10 15 20 25 30 35
pia - 06.08.17 17:20, p111_20
Distance to class limit:
30, 25, 20, 15, 10%
10 > 34
TISS - 06.08.18 10:40, ts121_20
CV=20%, Log-normal distribution
CV = 20%, log-normal distr.
0
10
20
30
40
50
60
70
80
90
100
0 5 10 15 20 25 30 35 40 45 50 0
5
10
15
20
25
30
0 5 10 15 20 25 30 35 40 45 50
pia - 06.08.18 10:54, p121_20
Distance to class limit:
30, 25, 20, 15, 10%
34 > 50
TISS - 06.04.01 17:14, 090603
TISS - 06.04.10 07:24, ts1
75 > 53
N of samples vs chance to go below limit2 1 1
0
10
20
30
40
50
60
70
80
90
100
0 10 20 30 40 50 60 70
pia - 06.04.11 17:03, p211
random sampling
N of samples vs chance to go below limit2 1 3
0
10
20
30
40
50
60
70
80
90
100
0 10 20 30 40 50 60
pia - 06.04.11 16:56, p213
Sobol sequence
TISS - 06.04.11 00:56, ts101TISS - 06.04.11 13:35, ts311
N of samples vs chance to go below limit3 1 1
0
10
20
30
40
50
60
70
80
90
100
0 20 40 60 80 100
pia - 06.04.11 16:44, p311
random sampling
N of samples vs chance to go below limit3 1 3
0
10
20
30
40
50
60
70
80
90
100
0 10 20 30 40 50 60
pia - 06.04.11 16:30, p313
”Stratified” sampling
100 > 65
PCBTCDD eqv.
100 km
< 2
2 - 2.5
2.5 - 3
3 - 3.5
> 3.5
pg/g w.w.
TISS - 05.05.04 16:36, 1pqsmpol
PCBTCDD eqv.
100 km
< 2
2 - 2.5
2.5 - 3
3 - 3.5
pg/g w.w.
TISS - 06.08.18 14:11, ts411_10
0
10
20
30
40
50
60
70
80
90
100
0 5 10 15 20 25 30 35 0
5
10
15
20
25
30
35
0 5 10 15 20
pia - 06.08.18 15:33, p411
35% (normally distributed) variation were added (> total variation = 39 %)
True mean = 2.5 pg/g. Distance to 4.0, 3.5 and 3.0 pg/g (37.5%, 28%, 17%)
Tolerance limit
91 92 93 94 95 96 97 98 99 100 101 102 103 104 105
106 107 108 109 110 111 112 113 114 115 116 117 118 119 120
121 122 123 124 125 126 127 128 129 130 131 132 133 134 135
136 137 138 139 140 141 142 143 144 145 146 147 148 149 150
151 152 153 154 155 156 157 158 159 160 161 162 163 164 165
166 167 168 169 170 171 172 173 174 175 176 177 178 179 180
TISS - 04.09.23 18:50, 0502b
Afla-toxines in figs
TISS - 02.12.02 09:40, cl3dax05
PCDD/DF - TEQ
Herring, geometric mean
Muscle
TISS - 02.12.02 09:45, cl3dbx05
PCDD/DF- TEQ Herring, 95% conf. int.
Muscle
TISS - 02.12.02 09:55, cl3dcx05
PCDD/DF- TEQ Herring, 95% pop int.Muscle