Assessment of CSO loads - Based on UV/VIS-spectroscopy by means of different regression methods

Water Science and Technology

Volumn 54, Issue 6-7, 2006, Pages 239-246

  Hochedlinger, Ma ^a,b   Kainz, H ^a   Rauch, W ^c  

^a GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

^b Linz AG Waste Water   (Austria)

^c UNIVERSITY OF INNSBRUCK   (Austria)

Author keywords

Absorbance; Combined sewer overflow (CSO); Online sewer measurements; Regression methods; UV VIS spectroscopy

Indexed keywords

ALGORITHMS; MATHEMATICAL MODELS; OPTIMIZATION; REGRESSION ANALYSIS; ULTRAVIOLET SPECTROSCOPY; VECTORS; WATER QUALITY;

COMBINED SEWER OVERFLOW; ONLINE SEWER MEASUREMENTS;

COMBINED SEWERS;

OXYGEN;

ALGORITHMS; COMBINED SEWERS; MATHEMATICAL MODELS; OPTIMIZATION; REGRESSION ANALYSIS; ULTRAVIOLET SPECTROSCOPY; VECTORS; WATER QUALITY;

ABSORBANCE; REGRESSION ANALYSIS; SEWER NETWORK; SPECTROSCOPY; WATER QUALITY;

ACCURACY; ALGORITHM; ANALYTIC METHOD; ANALYTICAL PARAMETERS; ARTICLE; AUSTRIA; CHEMICAL OXYGEN DEMAND; CONCENTRATION (PARAMETERS); CONTROLLED STUDY; CORRELATION ANALYSIS; INFORMATION PROCESSING; INTERMETHOD COMPARISON; LINEAR REGRESSION ANALYSIS; MACHINE; MULTIVARIATE ANALYSIS; ONLINE ANALYSIS; PROCESS OPTIMIZATION; SEQUENTIAL ANALYSIS; STATISTICAL MODEL; SUSPENDED PARTICULATE MATTER; ULTRAVIOLET SPECTROSCOPY; WASTE WATER MANAGEMENT; WASTE WATER TREATMENT PLANT; WATER FLOW; WATER QUALITY;

DRAINAGE, SANITARY; ENVIRONMENTAL MONITORING; MODELS, STATISTICAL; REGRESSION ANALYSIS; SEWAGE; SPECTROPHOTOMETRY, ULTRAVIOLET; WATER POLLUTION;

EID: 33751054457     PISSN: 02731223     EISSN: None     Source Type: Book Series    
DOI: 10.2166/wst.2006.629     Document Type: Article

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