Estimation of real-time N load in surface water using dynamic data-driven application system

Ecological Engineering

Volumn 37, Issue 4, 2011, Pages 616-621

  Ouyang, Y ^a   Luo, S M ^b   Cui, L H ^b   Wang, Q ^c   Zhang, J E ^b  

^a USDA FOREST SERVICE   (United States)

^b SOUTH CHINA AGRICULTURAL UNIVERSITY   (China)

^c UNIVERSITY OF FLORIDA   (United States)

Author keywords

DDDAS; Nutrients; Real time; River; Water quality

Indexed keywords

ALGAL BLOOMS; BACK FLOW; COMPUTER SCREENS; DDDAS; DYNAMIC DATA; FIELD MEASUREMENT; HUMAN HEALTH; LABORATORY ANALYSIS; MICROSOFT WINDOWS; QUALITY INFORMATION; REAL-TIME; RIVER DISCHARGE; TIME VARIATIONS; US GEOLOGICAL SURVEY; VISUAL BASIC; WATER ECOSYSTEMS; WIRELESS SENSOR;

CHLOROPHYLL; ESTIMATION; EUTROPHICATION; HYDROGEOLOGY; NUTRIENTS; RIVERS; WATER POLLUTION; WATER QUALITY;

ECOSYSTEMS;

ALGAL BLOOM; CHLOROPHYLL; COST-BENEFIT ANALYSIS; ESTIMATION METHOD; ESTUARINE ENVIRONMENT; EUTROPHICATION; INDUSTRIALIZATION; NITROGEN; NUTRIENT UPTAKE; PUBLIC HEALTH; REAL TIME; RIVER POLLUTION; SOFTWARE; SURFACE WATER; WATER QUALITY;

ALGAE;

EID: 79951671294     PISSN: 09258574     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecoleng.2010.12.023     Document Type: Article

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