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Titolo:
MODELING OF NITRATE DISAPPEARANCE AND SLUDGE RISING IN A SETTLING COLUMN SYSTEM
Autore:
KIM MH; ALGHUSAIN IA; HAO OJ; LIM BS;
Indirizzi:
UNIV MARYLAND,DEPT CIVIL ENGN COLL PK MD 20742 UNIV MARYLAND,DEPT CIVIL ENGN COLL PK MD 20742 KUWAIT UNIV,DEPT CIVIL ENGN SAFAT 13060 KUWAIT TAEJON UNIV,DEPT ENVIRONM ENGN TAEJON 300716 SOUTH KOREA
Titolo Testata:
Water research
fascicolo: 9, volume: 28, anno: 1994,
pagine: 1861 - 1872
SICI:
0043-1354(1994)28:9<1861:MONDAS>2.0.ZU;2-F
Fonte:
ISI
Lingua:
ENG
Soggetto:
ANOXIC-AEROBIC DIGESTION; WASTE ACTIVATED-SLUDGE; BATCH SEDIMENTATION; DENITRIFICATION;
Keywords:
ENDOGENOUS NITRATE RESPIRATION; SIMULATION; SLUDGE RISING; SLUDGE SETTLING; SLUDGE STABILITY INDEX;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Science Citation Index Expanded
Science Citation Index Expanded
Citazioni:
21
Recensione:
Indirizzi per estratti:
Citazione:
M.H. Kim et al., "MODELING OF NITRATE DISAPPEARANCE AND SLUDGE RISING IN A SETTLING COLUMN SYSTEM", Water research, 28(9), 1994, pp. 1861-1872

Abstract

The determination of different rates of endogenous nitrate respiration due to biomass stratification throughout the depth of a sludge blanket is essential to assess the factors affecting the sludge rising in secondary clarifiers. In this study, an extension of the solids flux theory in conjunction with nitrate mass balance was used to model the fate of nitrate in a sludge settling column. The model-predicted nitrateconcentrations agree well with those experimentally determined. A newterm, sludge stability index, was introduced to reflect the sludge rising time and the corresponding critical nitrate concentration necessary for causing sludge rising. The model predicted well the observed sludge rising times occurring under batch settling column experiments with initial biomass and nitrate concentration ranging from 2000 to 5000mg 1(-1) and 10 to 30 mg-N1(-1), respectively. Furthermore, simulation results indicated that both the sludge rising time and CNC are significantly affected by k(ENR).

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Documento generato il 12/07/20 alle ore 06:50:38