ANN application for prediction of atmospheric nitrogen deposition to aquatic ecosystems

Marine Pollution Bulletin

Volumn 62, Issue 6, 2011, Pages 1198-1206

  Palani, Sundarambal ^a   Tkalich, Pavel ^a   Balasubramanian, Rajasekhar ^a   Palanichamy, Jegathambal ^b  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b RWTH AACHEN UNIVERSITY   (Germany)

Author keywords

Aquatic ecosystems; Atmospheric deposition; Eutrophication; Neural network; Nitrogen; Southeast Asia

Indexed keywords

ANN APPLICATION; AQUATIC ECOSYSTEM; ARTIFICIAL NEURAL NETWORK MODELS; ATMOSPHERIC DEPOSITION; ATMOSPHERIC DEPOSITIONS; ATMOSPHERIC NITROGEN DEPOSITION; FORECASTING TOOLS; METEOROLOGICAL PARAMETERS; MODEL INPUTS; MODEL PERFORMANCE; MULTIPLE LINEAR REGRESSION MODELS; NITROGEN SPECIES; ORGANIC NITROGEN; SOUTHEAST ASIA; TOTAL NITROGEN; TOTAL SUSPENDED PARTICULATES;

ATMOSPHERIC CHEMISTRY; ATMOSPHERICS; DEPOSITION; ECOSYSTEMS; EUTROPHICATION; LINEAR REGRESSION; METEOROLOGICAL PROBLEMS; NEURAL NETWORKS; NITROGEN;

WEATHER FORECASTING;

NITROGEN; ORGANIC NITROGEN;

AQUATIC ECOSYSTEM; ARTIFICIAL NEURAL NETWORK; ATMOSPHERIC DEPOSITION; EUTROPHICATION; HAZE; ORGANIC NITROGEN; SUSPENDED PARTICULATE MATTER;

ACCURACY; AQUATIC ENVIRONMENT; ARTICLE; ARTIFICIAL NEURAL NETWORK; ATMOSPHERIC NITROGEN DEPOSITION; CONCENTRATION (PARAMETERS); CONTROLLED STUDY; ENVIRONMENTAL MONITORING; ERROR; INTERMETHOD COMPARISON; METEOROLOGY; MULTIPLE LINEAR REGRESSION MODEL; NITROGEN DEPOSITION; POLLUTANT STANDARDS INDEX; PREDICTION; SEA POLLUTION; SEASHORE; SINGAPORE; SMOKE; SOUTHEAST ASIA; STATISTICAL ANALYSIS; SUSPENDED PARTICULATE MATTER;

AIR POLLUTANTS; AIR POLLUTION; ATMOSPHERE; COMPUTER SIMULATION; ENVIRONMENTAL MONITORING; EUTROPHICATION; LINEAR MODELS; MODELS, CHEMICAL; NEURAL NETWORKS (COMPUTER); NITROGEN; WATER POLLUTANTS, CHEMICAL; WATER POLLUTION, CHEMICAL;

SOUTHEAST ASIA;

EID: 79958766118     PISSN: 0025326X     EISSN: 18793363     Source Type: Journal    
DOI: 10.1016/j.marpolbul.2011.03.033     Document Type: Article

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