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Volumn 120, Issue , 2014, Pages 325-330
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Development of variable pathlength UV-vis spectroscopy combined with partial-least-squares regression for wastewater chemical oxygen demand (COD) monitoring
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Author keywords
Chemical oxygen demand (COD); Data fusion; Partial least squares regression (PLSR); Slope derived spectroscopy; Wastewater quality monitoring
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Indexed keywords
DATA FUSION;
LEAST SQUARES APPROXIMATIONS;
MEAN SQUARE ERROR;
OXYGEN;
REGRESSION ANALYSIS;
ULTRAVIOLET VISIBLE SPECTROSCOPY;
WASTEWATER TREATMENT;
WATER QUALITY;
PARTIAL LEAST SQUARES REGRESSION;
PARTIAL LEAST SQUARES REGRESSIONS (PLSR);
PREDICTION PERFORMANCE;
PREDICTIVE ACCURACY;
ROOT MEAN SQUARE ERRORS;
WASTEWATER QUALITY;
WASTEWATER TREATMENT PROCESS;
WATER QUALITY MONITORING;
CHEMICAL OXYGEN DEMAND;
ARTICLE;
BIOCHEMICAL OXYGEN DEMAND;
CHEMICAL OXYGEN DEMAND (COD);
DATA FUSION;
METHODOLOGY;
PARTIAL-LEAST-SQUARES REGRESSION (PLSR);
REGRESSION ANALYSIS;
SEWAGE;
SLOPE-DERIVED SPECTROSCOPY;
ULTRAVIOLET SPECTROPHOTOMETRY;
WASTE WATER;
WASTEWATER QUALITY MONITORING;
WATER QUALITY;
CHEMICAL OXYGEN DEMAND (COD);
DATA FUSION;
PARTIAL-LEAST-SQUARES REGRESSION (PLSR);
SLOPE-DERIVED SPECTROSCOPY;
WASTEWATER QUALITY MONITORING;
BIOLOGICAL OXYGEN DEMAND ANALYSIS;
LEAST-SQUARES ANALYSIS;
SPECTROPHOTOMETRY, ULTRAVIOLET;
WASTE DISPOSAL, FLUID;
WASTE WATER;
WATER QUALITY;
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EID: 84891671314
PISSN: 00399140
EISSN: None
Source Type: Journal
DOI: 10.1016/j.talanta.2013.12.026 Document Type: Article |
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Times cited : (89)
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References (31)
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