Abiotic influences on dissolved oxygen in a riverine environment

Ecological Engineering

Volumn 37, Issue 11, 2011, Pages 1804-1814

  He, Jianxun ^a   Chu, Angus ^a   Ryan, M Cathryn ^a   Valeo, Caterina ^a   Zaitlin, Beryl ^a  

^a UNIVERSITY OF CALGARY   (Canada)

Author keywords

Abiotic factor; Data driven modeling; Dissolved oxygen; Periphyton; Statistical analysis

Indexed keywords

ABIOTIC FACTORS; AQUATIC ENVIRONMENTS; BIOTIC FACTORS; CLIMATIC CONDITIONS; DATA-DRIVEN MODELING; FLEXIBLE ARCHITECTURES; LINEAR APPROACH; MACROPHYTES; MAJOR FACTORS; MULTIPLE LINEAR REGRESSIONS; NONLINEAR APPROACH; NUTRIENT LOADING; PERCEPTRON NEURAL NETWORKS; PERIPHYTON; PERIPHYTONS; PHYSICALLY BASED MODELS; SIGNIFICANT IMPACTS; STATISTICAL DATA ANALYSIS; TIME-SCALES; WASTEWATER EFFLUENTS; WATER TEMPERATURES;

DATA REDUCTION; DISSOLUTION; EFFLUENTS; LINEAR REGRESSION; NETWORK LAYERS; NEURAL NETWORKS; NUTRIENTS; RIVERS; STATISTICAL METHODS; WASTEWATER;

DISSOLVED OXYGEN;

AQUATIC ENVIRONMENT; ARTIFICIAL NEURAL NETWORK; BIOMASS; CLIMATE MODELING; DATA SET; DISSOLVED OXYGEN; ECOSYSTEM HEALTH; EFFLUENT; ENVIRONMENTAL FACTOR; HYDROMETRY; MACROPHYTE; NUMERICAL MODEL; NUTRIENT ENRICHMENT; PERIPHYTON; PREDICTION; REGRESSION ANALYSIS; WASTEWATER; WATER TEMPERATURE;

EID: 80052086585     PISSN: 09258574     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecoleng.2011.06.022     Document Type: Article

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