Works matching DE "AIR pollution forecasting"
Results: 77
Air pollution forecasting in Ankara, Turkey using air pollution index and its relation to assimilative capacity of the atmosphere.
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- Environmental Monitoring & Assessment, 2010, v. 166, n. 1-4, p. 11, doi. 10.1007/s10661-009-0981-y
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On the evaluation of box model results: the case of BOXURB model.
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- Environmental Monitoring & Assessment, 2009, v. 155, n. 1-4, p. 103, doi. 10.1007/s10661-008-0421-4
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Estimating Air Quality in a Traffic Tunnel Using a Forecasting Combination Model.
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- Environmental Monitoring & Assessment, 2006, v. 112, n. 1-3, p. 327, doi. 10.1007/s10661-006-1073-x
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Using Improved Neural Network Model to Analyze RSP, NO<sub>x</sub> and NO<sub>2</sub> Levels in Urban Air in Mong Kok, Hong Kong.
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- Environmental Monitoring & Assessment, 2003, v. 87, n. 3, p. 235, doi. 10.1023/A:1024819309108
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Computation of geographic variables for air pollution prediction models in South Korea.
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- Environmental Health & Toxicology, 2015, v. 30, p. 1, doi. 10.5620/eht.e2015010
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SPAIN CONFIRMS IT WILL EXCEED AIR POLLUTANT CAPS.
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- Air Quality & Climate Change, 2009, v. 43, n. 4, p. EI-3
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Hybrid Model for Urban Air Pollution Forecasting: A Stochastic Spatio-Temporal Approach.
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- Mathematical Geosciences, 2014, v. 46, n. 1, p. 75, doi. 10.1007/s11004-013-9483-0
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Trend Prediction and Decomposed Driving Factors of Carbon Emissions in Jiangsu Province during 2015–2020.
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- Sustainability (2071-1050), 2016, v. 8, n. 10, p. 1018, doi. 10.3390/su8101018
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Improvement of ozone forecast over Beijing based on ensemble Kalman filter with simultaneous adjustment of initial conditions and emissions.
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- Atmospheric Chemistry & Physics Discussions, 2011, v. 11, n. 3, p. 7811, doi. 10.5194/acpd-11-7811-2011
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Overview of the European project FUMAPEX.
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- Atmospheric Chemistry & Physics Discussions, 2005, v. 5, n. 6, p. 11679, doi. 10.5194/acpd-5-11679-2005
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Evaluation of very high-resolution simulations with the non-hydrostatic numerical weather prediction model Lokalmodell for urban air pollution episodes in Helsinki, Oslo and Valencia.
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- Atmospheric Chemistry & Physics Discussions, 2005, v. 5, n. 5, p. 8233, doi. 10.5194/acpd-5-8233-2005
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The shipping forecast.
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- Nature, 2007, v. 449, n. 7160, p. 272, doi. 10.1038/449272a
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Air pollutant emission rates and concentrations in medieval churches.
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- Journal of Atmospheric Chemistry, 2008, v. 60, n. 2, p. 169, doi. 10.1007/s10874-008-9116-z
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A back-trajectory and air mass climatology for the Northern Shenandoah Valley, USA.
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- International Journal of Climatology, 2010, v. 30, n. 4, p. 569, doi. 10.1002/joc.1896
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Forecasting SO<sub>2</sub> pollution incidents by means of quantile curves based on additive models.
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- Environmetrics, 2016, v. 27, n. 3, p. 147, doi. 10.1002/env.2384
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The inclusion of exogenous variables in functional autoregressive ozone forecasting .
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- Environmetrics, 2002, v. 13, n. 7, p. 759, doi. 10.1002/env.527
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A Spatiotemporal Prediction Framework for Air Pollution Based on Deep RNN.
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- ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 2017, v. 4, n. 4/W2, p. 15, doi. 10.5194/isprs-annals-IV-4-W2-15-2017
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Air pollution forecasting from sky images with shallow and deep classifiers.
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- Earth Science Informatics, 2018, v. 11, n. 3, p. 413, doi. 10.1007/s12145-018-0334-x
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AMFIC Web Data Base - A Satellite System for the Monitoring and Forecasting of Atmospheric Pollution.
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- Journal of Engineering Science & Technology Review, 2008, v. 1, n. 1, p. 58
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Artificial Intelligence applied in Air Pollution Forecast.
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- Petroleum - Gas University of Ploiesti Bulletin, Technical Series, 2009, v. 61, n. 3, p. 389
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What caused the extreme CO concentrations during the 2017 high-pollution episode in India?
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- Atmospheric Chemistry & Physics, 2019, v. 19, n. 6, p. 3433, doi. 10.5194/acp-19-3433-2019
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The fuzzy logic in air pollution forecasting model.
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- International Journal of Industrial Mathematics, 2017, v. 9, n. 1, p. 39
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The spatial and temporal distributions of spheroidal carbonaceous particles from sediment core samples from industrial cities in Japan and China.
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- Environmental Earth Sciences, 2011, v. 64, n. 3, p. 833, doi. 10.1007/s12665-011-0907-1
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New Categorical Metrics for Air Quality Model Evaluation.
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- Journal of Applied Meteorology & Climatology, 2007, v. 46, n. 4, p. 549, doi. 10.1175/JAM2479.1
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Skill in forecasting extreme ozone pollution episodes with a global atmospheric chemistry model.
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- Atmospheric Chemistry & Physics, 2014, v. 14, n. 5, p. 6261, doi. 10.5194/acpd-14-6261-2014
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A Bayesian inversion estimate of N<sub>2</sub>O emissions for western and central Europe and the assessment of aggregation errors.
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- Atmospheric Chemistry & Physics, 2011, v. 11, n. 7, p. 3443, doi. 10.5194/acp-11-3443-2011
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Projections of air pollutant emissions and its impacts on regional air quality in China in 2020.
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- Atmospheric Chemistry & Physics, 2011, v. 11, n. 7, p. 3119, doi. 10.5194/acp-11-3119-2011
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Impact of model grid spacing on regional- and urban- scale air quality predictions of organic aerosol.
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- Atmospheric Chemistry & Physics, 2011, v. 11, n. 7, p. 3107, doi. 10.5194/acp-11-3107-2011
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Comparison of OMI NO<sub>2</sub> tropospheric columns with an ensemble of global and European regional air quality models.
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- Atmospheric Chemistry & Physics, 2010, v. 10, n. 7, p. 3273, doi. 10.5194/acp-10-3273-2010
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The impact of biogenic carbon sources on aerosol absorption in Mexico City.
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- Atmospheric Chemistry & Physics, 2009, v. 9, n. 5, p. 1537, doi. 10.5194/acp-9-1537-2009
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Valuation of Urban Air Pollution: A Case Study of Kanpur City in India.
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- Environmental & Resource Economics, 2008, v. 41, n. 3, p. 315, doi. 10.1007/s10640-008-9193-0
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Low-carbon scenario analysis on urban transport of one metropolitan in China in 2020.
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- Journal of Industrial Engineering & Management, 2012, v. 5, n. 2, p. 344, doi. 10.3926/jiem.640
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Combination of artificial neural network models for air quality predictions for the region of Annaba, Algeria.
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- International Journal of Environmental Studies, 2012, v. 69, n. 1, p. 79, doi. 10.1080/00207233.2012.644900
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Emissions inventory, ISCST, and neural network modelling of air pollution in Kuwait.
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- International Journal of Environmental Studies, 2009, v. 66, n. 2, p. 181, doi. 10.1080/00207230902859929
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Daily ambient air mean NO concentration modeling and forecasting based on the elliptic-orbit model with weekly quasi-periodic extension: a case study.
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- Stochastic Environmental Research & Risk Assessment, 2015, v. 29, n. 2, p. 547, doi. 10.1007/s00477-014-0895-2
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One-day-ahead prediction of maximum carbon monoxide concentration in urban environments.
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- Stochastic Environmental Research & Risk Assessment, 2013, v. 27, n. 2, p. 561, doi. 10.1007/s00477-012-0601-1
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The Nature, Theory, and Modeling of Atmospheric Planetary Boundary Layers.
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- Bulletin of the American Meteorological Society, 2011, v. 92, n. 2, p. 123, doi. 10.1175/2010BAMS2797.1
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The Forecasting of Air Pollution in an Ecological Landfill for Urban Waste.
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- Bulletin of the University of Agricultural Sciences & Veterinary Medicine Cluj-Napoca. Agriculture, 2010, v. 67, n. 2, p. 33, doi. 10.15835/buasvmcn-agr:5177
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FEATURE SELECTION FOR THE PREDICTION OF TROPOSPHERIC OZONE CONCENTRATION USING A WRAPPER METHOD.
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- Intelligent Automation & Soft Computing, 2011, v. 17, n. 4, p. 403, doi. 10.1080/10798587.2011.10643157
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Atmospheric Scale Interaction on Wintertime Intermountain West Low-Level Inversions.
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- Weather & Forecasting, 2010, v. 25, n. 4, p. 1196, doi. 10.1175/2010WAF2222380.1
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Projection of CO<sub>2</sub> emissions in Malaysia.
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- Environmental Progress & Sustainable Energy, 2011, v. 30, n. 4, p. 658, doi. 10.1002/ep.10512
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Computational Intelligence-based PM<sub>2.5</sub> Air Pollution Forecasting.
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- International Journal of Computers, Communications & Control, 2017, v. 12, n. 3, p. 365, doi. 10.15837/ijccc.2017.3.2907
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Markov Weighted Fuzzy Time-Series Model Based on an Optimum Partition Method for Forecasting Air Pollution.
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- International Journal of Fuzzy Systems, 2020, v. 22, n. 5, p. 1468, doi. 10.1007/s40815-020-00841-w
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The Cost of Keeping Our Cool.
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- Current History, 2007, v. 106, n. 703, p. 384, doi. 10.1525/curh.2007.106.703.384
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Can the World Wean Itself from Fossil Fuels?
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- Current History, 2007, v. 106, n. 703, p. 376, doi. 10.1525/curh.2007.106.703.376
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Intercity transferability of land use regression models for estimating ambient concentrations of nitrogen dioxide.
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- Journal of Exposure Science & Environmental Epidemiology, 2009, v. 19, n. 1, p. 107, doi. 10.1038/jes.2008.15
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Forecasting SO<sub>2</sub> Pollution Incidents by means of Elman Artificial Neural Networks and ARIMA Models.
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- Abstract & Applied Analysis, 2013, p. 1, doi. 10.1155/2013/238259
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RCP 8.5-A scenario of comparatively high greenhouse gas emissions.
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- Climatic Change, 2011, v. 109, n. 1/2, p. 33, doi. 10.1007/s10584-011-0149-y
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Using grey Holt-Winters model to predict the air quality index for cities in China.
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- Natural Hazards, 2017, v. 88, n. 2, p. 1003, doi. 10.1007/s11069-017-2901-8
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A Novel Approach of Weighted Support Vector Machine with Applied Chance Theory for Forecasting Air Pollution Phenomenon in Egypt.
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- International Journal of Computational Intelligence & Applications, 2018, v. 17, n. 1, p. -1, doi. 10.1142/S1469026818500013
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