Predictive statistical models linking antecedent meteorological conditions and waterway bacterial contamination in urban waterways

Water Research

Volumn 76, Issue , 2015, Pages 143-159

  Farnham, David J ^a   Lall, Upmanu ^a  

^a Columbia University ^*  (United States)

Author keywords

Fecal bacteria contamination; Hierarchical Bayesian model; Urban runoff; Urban waterways; Water quality modeling

Indexed keywords

BACTERIA; CONTAMINATION; POLLUTION DETECTION; REGRESSION ANALYSIS; RIVER POLLUTION; SEWAGE; WATER QUALITY;

BACTERIA CONTAMINATION; BACTERIAL CONTAMINATION; FECAL BACTERIA; FECAL BACTERIA CONTAMINATION; HIERARCHICAL BAYESIAN MODELING; METEOROLOGICAL CONDITION; STATISTIC MODELING; URBAN RUNOFF; URBAN WATERWAYS; WATER QUALITY MODELLING;

BAYESIAN NETWORKS;

ACCURACY ASSESSMENT; BAYESIAN ANALYSIS; DRAINAGE NETWORK; HIERARCHICAL SYSTEM; MICROBIAL ACTIVITY; NUMERICAL MODEL; STATISTICAL ANALYSIS; URBAN PLANNING; WATER POLLUTION;

ARTICLE; BACTERIUM CONTAMINATION; METEOROLOGY; PRIORITY JOURNAL; RIVER; SIMULATION; STATISTICAL MODEL; UNITED STATES; URBAN AREA; WATER CONTAMINATION; BACTERIUM; BAYES THEOREM; ENTEROCOCCUS; ENVIRONMENTAL MONITORING; FECES; GROWTH, DEVELOPMENT AND AGING; ISOLATION AND PURIFICATION; MICROBIOLOGY; PROCEDURES; WEATHER;

NEW YORK [NEW YORK (STT)]; NEW YORK [UNITED STATES]; UNITED STATES;

BACTERIA (MICROORGANISMS);

BACTERIA; BAYES THEOREM; ENTEROCOCCUS; ENVIRONMENTAL MONITORING; FECES; MODELS, STATISTICAL; NEW YORK CITY; RIVERS; WATER MICROBIOLOGY; WEATHER;

EID: 84925246322     PISSN: 00431354     EISSN: 18792448     Source Type: Journal    
DOI: 10.1016/j.watres.2015.02.040     Document Type: Article

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