Supplementary material
Sequential dynamic artificial neural network modeling of a full-scale coking
wastewater treatment plant with fluidized-bed reactors
Hua-Se OU1, *, Chao-Hai WEI2, Hai-Zhen WU3, Ce-Hui MO1, Bao-Yan HE1
(1. Key Laboratory of Water/Soil Toxic Pollutants Control and Bioremediation of
Guangdong Higher Education Institutions, School of Environment, JiNan University,
Guangzhou, 510632, China. 2. Key Lab of Pollution Control and Ecosystem Restoration
in Industry Clusters, Ministry of Education, College of Environment and Energy, South
China University of Technology, Guangzhou, 510006, China. 3.School of Bioscience and
Bioengineering, South China University of Technology, Guangzhou, 510006, China)
*Corresponding authors:
Hua-Se OU
Tel: + 86-020-85226615;
E-mail: touhuase@jnu.edu.com;
Postal address: The Second Science and Technology Building, JiNan University, 601
Huangpu Avenue West, Guangzhou, China.P.C. 510632.
Table S1 Weights matrix of the 7:5:6:1 model for CODin
Neuron
Input
Output
pHin (t)
CODin (t-1)
volatile phenolin (t)
cyanidein (t)
sulfidein (t)
1
1.3833
-1.1823
0.5714
0.0639
1.9685
2
3.5711
-1.7340
-1.1275
1.2936
3
3.4170
-1.4757
-0.7497
4
2.2161
2.7972
-0.3758
5
1.6542
1.8425
-0.8649
-0.3461
+-N
NH4
flow ratein (t)
CODin (t)
2.0754
1.6485
-2.1564
0.5128
-2.1509
-0.0154
0.5416
0.1603
2.8902
-1.8070
-0.8745
-1.5481
-0.2143
0.7270
3.2644
0.4875
0.0567
-0.6152
1.6425
0.5164
3.2154
in
(t)
Table S2 Weights matrix of the 7:4:4:1 for volatile phenolin
Neuron
Input
Output
volatile
volatile
cyanidein (t)
sulfidein (t)
NH4+-Nin (t)
flow ratein (t)
0.6594
0.6597
-0.1548
0.1564
1.6597
0.6254
0.8498
-4.6587
0.0458
0.1457
-0.6695
-1.2584
0.0158
2.2264
-0.1548
2.2648
-1.2546
-2.4658
2.5648
0.1485
-2.2264
1.1645
-0.8462
1.2554
0.8948
-1.4872
0.8210
0.0326
1.4258
+-N
pHin (t)
CODin (t)
1
0.4215
0.2659
2
-1.2644
3
4
phenolin (t-1)
phenolin (t)
Table S3 Weights matrix of the 7:3:4:1 for cyanidein
Neuron
Input
Output
pHin (t)
CODin (t)
volatile phenolin (t)
cyanidein (t-1)
sulfidein (t)
1
0.1254
0.8457
0.2646
0.0845
1.5664
2
0.6325
-2.2648
0.3478
-0.0546
3
-1.2544
1.4254
-0.1584
1.6448
NH4
flow ratein (t)
cyanidein (t)
-0.2658
-0.7548
0.2564
3.6548
2.6582
1.5484
1.5787
-1.2654
1.0145
3.2548
-0.6545
in
(t)
Table S4 Weights matrix of the 7:5:6:1 for NH4+-Nin
Neuron
Input
Output
+-N
flow ratein (t)
NH4+-Nin (t)
1.5462
0.3656
3.2644
-4.6548
2.1087
-1.2645
0.2604
3.6448
-0.2641
-2.2687
-0.2969
0.0645
-1.4651
0.9548
pHin (t)
CODin (t)
volatile phenolin (t)
cyanidein (t)
sulfidein (t)
NH4
1
-1.5464
0.0165
-0.4219
-2.3651
-0.2654
2
0.5468
3.4870
2.2604
-1.1652
-1.6468
3
-3.6258
0.9987
-1.6658
-0.0256
0.5548
4
0.0265
-2.2258
-0.0265
4.2659
2.1048
5
-1.2651
-0.0365
0.0685
0.9875
-1.2564
0.0265
in
(t-1)
Table S5 Weights matrix of the 9:8:10:1 for CODef
Neuron
Input
pHin (t)
Output
estimated
volatile
CODin (t)
phenolin (t)
cyanidein (t)
sulfidein (t)
NH4+-Nin (t)
flow
ratein (t)
DO1 (t)
DO2 (t)
CODef (t)
1
-0.2678
0.2546
0.9871
0.0656
0.6594
1.0265
-1.5648
1.6598
0.6959
-2.6542
2
0.0406
0.0056
-0.2644
-0.4219
-1.1587
0.0165
0.5646
0.2659
1.5062
0.1245
3
0.5648
1.0887
-0.6505
2.2654
0.6348
-3.0879
0.1025
0.8498
-4.6518
-0.2568
4
1.3604
-0.6448
0.0568
-1.6658
1.2154
0.0487
0.0265
-0.1548
0.0654
0.2589
5
-0.6788
-0.2998
-0.0051
-1.1265
2.9754
-2.1158
-1.2654
-0.8462
-2.1687
0.0254
6
0.5108
-1.4605
-1.2608
0.5685
-2.3509
-0.0165
0.0659
5.2646
1.2265
-4.6545
7
2.3268
1.2648
-2.6598
-0.0154
-1.8070
2.6559
1.0266
-0.2659
3.2654
0.6584
8
-1.0154
-0.2654
4.6586
-0.2654
3.2644
6.2654
-1.0156
-0.2184
-0.2654
0.3625
Table S6 Weights matrix of the 9:7:10:1 for volatile phenolef
Neuron
Input
Output
estimated
pHin (t)
CODin (t)
volatile
cyanidein (t)
sulfidein (t)
NH4+-Nin (t)
flow
ratein (t)
DO1 (t)
DO2 (t)
phenolin (t)
volatile
phenolef (t)
1
0.8497
0.6958
1.2564
0.9656
-0.0554
2.0658
1.0648
3.2614
0.6594
-5.6502
2
0.0065
-3.2658
-2.6958
0.7819
-1.9987
3.2815
-5.1984
-0.6468
-1.9506
0.5654
3
-0.5254
1.6998
0.6548
-2.0554
3.6348
-0.0879
-0.8725
1.5158
-4.1588
0.9984
4
0.0154
-0.6584
-2.6255
-1.6585
0.9609
0.0065
4.0158
-0.2156
1.0065
1.2654
5
-1.8498
0.2605
0.1298
1.5954
5.2070
3.6549
-0.0268
1.6655
0.3261
-0.6995
6
0.6694
0.9984
0.1586
0.6554
3.2205
-1.8844
-3.2615
-0.2698
-2.2685
4.6528
7
-0.3264
-3.2654
-1.5648
-3.9548
1.6682
0.1845
0.9874
-3.0025
-1.1059
-2.6158
Table S7 Weights matrix of the 9:6:6:1 for cyanideef
Neuron
Input
Output
pHin (t)
CODin (t)
1
-1.5484
2
volatile
estimated
sulfidein (t)
NH4+-Nin (t)
Flow
ratein (t)
DO1 (t)
DO2 (t)
cyanideef (t)
phenolin (t)
cyanidein (t)
-0.2651
-2.2658
0.6985
-5.2641
1.9533
-5.2654
-0.3659
-1.2654
0.4679
0.2656
3.3625
-2.6544
0.9015
1.0698
-3.9511
0.9598
1.0123
1.1101
-3.2654
3
0.2154
0.6927
-0.6654
2.5008
0.3265
3.0470
-0.2681
3.8740
0.0215
-2.4673
4
-0.0548
0.8558
-3.2654
3.8872
-3.2654
-1.0661
0.9598
2.4757
3.2611
1.0024
5
1.0098
-1.0846
0.2124
-1.7510
-1.2543
2.2650
0.3265
-2.2072
-2.2658
-1.2465
6
3.6654
0.8168
0.9847
-0.5012
0.1101
0.2265
0.0226
-1.8425
-1.8494
0.2456
Table S8 Weights matrix of the 9:7:8:1 for NH4+-Nef
Neuron
Input
pHin (t)
1
Output
CODin (t)
-1.2798
1.0362
2
0.0124
3
-3.6456
4
volatile
phenolin (t)
cyanidein (t)
estimated
sulfidein (t)
+-N
NH4
in
(t)
flow
ratein (t)
DO1 (t)
DO2 (t)
NH4+-Nef (t)
0.0028
-1.2656
-0.2115
0.0268
0.3467
0.4672
-0.1565
-1.5478
0.3697
0.7251
3.1564
-1.5064
-1.2654
-3.9598
0.3659
0.0269
-2.0554
0.2648
-4.2567
4.5416
2.1158
0.0959
0.0026
-2.0253
-3.6332
-1.6585
-1.0625
-1.6055
-0.6658
-1.6681
-0.6578
1.9956
0.2518
-0.8740
-2.0644
1.5954
5
2.2654
3.5118
-3.6412
0.6167
-2.0465
-2.8156
-0.4484
-3.4117
3.6545
0.6554
6
0.2635
1.8360
1.4653
3.2187
-0.1298
-6.0858
-5.6598
2.8052
-1.5164
-3.9548
7
-1.9875
-2.6519
0.5689
1.2546
0.9286
-1.2654
0.2656
-0.8115
0.6427
0.0115
Fig. S1 Importance (%) of the input variables on the CODin (A), volatile phenolin (B),
cyanidein (C), and NH4+-Nin(D).
Fig. S2 Importance (%) of the input variables on the CODef (A), volatile phenolef (B),
cyanideef (C), and NH4+-Nef (D).
Fig. S3 Residual distribution of the predicted values of CODef (A), volatile phenolef (B),
cyanideef (C), and NH4+-Nef (D).