3-day-ahead forecasting of regional pollution index for the pollutants NO2, CO, SO2, and O3 using artificial neural networks in athens, Greece

Water, Air, and Soil Pollution

Volumn 209, Issue 1-4, 2010, Pages 29-43

  Moustris, Konstantinos P ^a   Ziomas, Ioannis C ^b   Paliatsos, Athanasios G ^a  

^a UNIVERSITY OF WEST ATTICA   (Greece)

^b NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

Author keywords

Air pollution forecasting; Artificial Neural Networks; Athens; Greece

Indexed keywords

AIR PRESSURES; ARTIFICIAL NEURAL NETWORK; ATHENS; ATHENS , GREECE; CONCENTRATION TRENDS; GREATER ATHENS AREA , GREECE; OPEN PROBLEMS; REGIONAL POLLUTION; SOLAR IRRADIANCES; STATISTICAL SIGNIFICANCE; THRESHOLD CONCENTRATIONS;

AIR QUALITY; ATMOSPHERIC PRESSURE; POLLUTION; PUBLIC WORKS; WEATHER FORECASTING;

NEURAL NETWORKS;

COBALT; NITROGEN DIOXIDE; OZONE; SULFUR DIOXIDE;

ARTIFICIAL NEURAL NETWORK; ATMOSPHERIC POLLUTION; CARBON MONOXIDE; CHEMICAL POLLUTANT; CONCENTRATION (COMPOSITION); NITROGEN DIOXIDE; OZONE; POLLUTION MONITORING; PREDICTION; SULFUR DIOXIDE; THRESHOLD; URBAN POLLUTION;

AIR POLLUTANT; AIR POLLUTION; AIR QUALITY; AMBIENT AIR; ARTICLE; ARTIFICIAL NEURAL NETWORK; ATMOSPHERIC PRESSURE; CHEMICAL ANALYSIS; CONCENTRATION (PARAMETERS); CONTROLLED STUDY; FORECASTING; GREECE; MATHEMATICAL COMPUTING; METEOROLOGICAL PHENOMENA; POLLUTION MONITORING; PREDICTION; RELIABILITY; SOLAR RADIATION;

ATHENS [ATTICA]; ATTICA; GREECE;

EID: 77952241972     PISSN: 00496979     EISSN: 15732932     Source Type: Journal    
DOI: 10.1007/s11270-009-0179-5     Document Type: Article

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