|
|
|
|
| LEADER |
01000naa a22002652 4500 |
| 001 |
NLM118182390 |
| 003 |
DE-627 |
| 005 |
20231222182130.0 |
| 007 |
tu |
| 008 |
231222s2002 xx ||||| 00| ||eng c |
| 028 |
5 |
2 |
|a pubmed24n0394.xml
|
| 035 |
|
|
|a (DE-627)NLM118182390
|
| 035 |
|
|
|a (NLM)11936660
|
| 040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
| 041 |
|
|
|a eng
|
| 100 |
1 |
|
|a Kim, S
|e verfasserin
|4 aut
|
| 245 |
1 |
0 |
|a Genetic algorithms for the application of Activated Sludge Model No. 1
|
| 264 |
|
1 |
|c 2002
|
| 336 |
|
|
|a Text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
|
| 338 |
|
|
|a Band
|b nc
|2 rdacarrier
|
| 500 |
|
|
|a Date Completed 10.01.2003
|
| 500 |
|
|
|a Date Revised 15.11.2006
|
| 500 |
|
|
|a published: Print
|
| 500 |
|
|
|a Citation Status MEDLINE
|
| 520 |
|
|
|a The genetic algorithm (GA) has been integrated into the IWA ASM No. 1 to calibrate important stoichiometric and kinetic parameters. The evolutionary feature of GA was used to configure the multiple local optima as well as the global optimum. The objective function of optimization was designed to minimize the difference between estimated and measured effluent concentrations at the activated sludge system. Both steady state and dynamic data of the simulation benchmark were used for calibration using denitrification layout. Depending upon the confidence intervals and objective functions, the proposed method provided distributions of parameter space. Field data have been collected and applied to validate calibration capacity of GA. Dynamic calibration was suggested to capture periodic variations of inflow concentrations. Also, in order to verify this proposed method in real wastewater treatment plant, measured data sets for substrate concentrations were obtained from Haeundae wastewater treatment plant and used to estimate parameters in the dynamic system. The simulation results with calibrated parameters matched well with the observed concentrations of effluent COD
|
| 650 |
|
4 |
|a Journal Article
|
| 650 |
|
4 |
|a Research Support, Non-U.S. Gov't
|
| 650 |
|
7 |
|a Sewage
|2 NLM
|
| 700 |
1 |
|
|a Lee, H
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Kim, J
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Kim, C
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Ko, J
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Woo, H
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Kim, S
|e verfasserin
|4 aut
|
| 773 |
0 |
8 |
|i Enthalten in
|t Water science and technology : a journal of the International Association on Water Pollution Research
|d 1986
|g 45(2002), 4-5 vom: 23., Seite 405-11
|w (DE-627)NLM098149431
|x 0273-1223
|7 nnns
|
| 773 |
1 |
8 |
|g volume:45
|g year:2002
|g number:4-5
|g day:23
|g pages:405-11
|
| 912 |
|
|
|a GBV_USEFLAG_A
|
| 912 |
|
|
|a SYSFLAG_A
|
| 912 |
|
|
|a GBV_NLM
|
| 912 |
|
|
|a GBV_ILN_350
|
| 951 |
|
|
|a AR
|
| 952 |
|
|
|d 45
|j 2002
|e 4-5
|b 23
|h 405-11
|