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Titolo:
Stochastic water quality analysis using reliability method
Autore:
Han, KY; Kim, SH; Bae, DH;
Indirizzi:
Kyungpook Natl Univ, Dept Civil Engn, Puk Ku, Taegu 702701, South Korea Kyungpook Natl Univ Taegu South Korea 702701 , Taegu 702701, South Korea Korea Inst Construct Technol, Water Resources & Environm Res Div, Ilsan Ku, Koyang 411712, Kyonggi Do, South Korea Korea Inst Construct Technol Koyang Kyonggi Do South Korea 411712 h Korea Changwon Natl Univ, Dept Civil Engn, Changwon City 641241, Kyongsangnam Do, South Korea Changwon Natl Univ Changwon City Kyongsangnam Do South Korea641241 Korea
Titolo Testata:
JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION
fascicolo: 3, volume: 37, anno: 2001,
pagine: 695 - 708
SICI:
1093-474X(200106)37:3<695:SWQAUR>2.0.ZU;2-I
Fonte:
ISI
Lingua:
ENG
Keywords:
river water quality; stochastic analysis; reliability;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Agriculture,Biology & Environmental Sciences
Citazioni:
23
Recensione:
Indirizzi per estratti:
Indirizzo: Han, KY Kyungpook Natl Univ, Dept Civil Engn, Puk Ku, 1370 Sankyuk Dong, Taegu 702701, South Korea Kyungpook Natl Univ 1370 Sankyuk Dong Taegu SouthKorea 702701 ea
Citazione:
K.Y. Han et al., "Stochastic water quality analysis using reliability method", J AM WAT RE, 37(3), 2001, pp. 695-708

Abstract

This study developed a QUAL2E-Reliability Analysis (QUAL2E-RA) model for the stochastic water quality analysis of the downstream reach of the main Han River in Korea. The proposed model is based on the QUAL2E model and incorporates the Advanced First-Order Second-Moment (AFOSM) and Mean-Value First-Order Second-Moment (MFOSM) methods. After the hydraulic characteristics from standard step method are identified, the optimal reaction coefficients are then estimated using the Broyden-Fletcher-Goldfarb-Shanno (BFGS) method. Considering variations in river discharges, pollutant loads from tributaries, and reaction coefficients, the violation probabilities of existing water quality standards at several locations in the river were computed from the AFOSM and MFOSM methods, and the results were compared with those from the Monte Carlo method. The statistics of the three uncertainty analysis methods show that the outputs from the AFOSM and MFOSM methods are similar to those from the Monte Carlo method. From a practical model selection perspective, the MFOSM method is more attractive in terms of its computational simplicity and execution time.

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Documento generato il 01/12/20 alle ore 08:15:17