Evaluation of PM₁₀ forecasting based on the artificial neural network model and intake fraction in an urban area: A case study in Taiyuan City, China

References

• Berico , M. , Luciani , A. and Formignani , M. 1997 . Atmospheric aerosol in urban area—Measurements of TSP and PM10 standards and pulmonary deposition assessments . Atmos. Environ. , 31 : 3659 – 3665 . doi: 10.1016/S1352-2310(97)00204-5
   Web of Science ®Google Scholar
• Bi , XH , Feng , YC. , Wu , JH. , Wang , YQ. and Zhu , T. 2007 . Source apportionment of PM10 in six cities of northern China . Atmos. Environ. , 41 : 903 – 912 . doi: 10.1016/j.atmosenv.2006.09.033
   Web of Science ®Google Scholar
• Boznar , M. , Lesjak , M. and Mlakar , P. 1993 . A neural network-based method for short-term predictions of ambient SO2 concentrations in highly polluted industrial areas of complex terrain . Atmos. Environ. , 27B : 211 – 230 . doi: 10.1016/0957-1272(93)90007-S
   Web of Science ®Google Scholar
• Carlton , AG , Turpin , JB. , Johnson , W. , Buckley , BT. , Simcik , M. , Eisenreich , SJ. and Porcja , RJ. 1999 . Methods for characterisation of personal aerosol exposures . Aerosol Sci. Technol. , 31 : 66 – 80 . doi: 10.1080/02786829909709777
   Web of Science ®Google Scholar
• Caselli , M , Trizio , L. , de Gennaro , G. and Ielpo , P. 2008 . A simple feed forward neural network for the PM10 forecasting: Comparison with a radial basis function network and a multivariate linear regression model . Water Air Soil Pollut. , 201 : 365 – 377 . doi: 10.1007/s11270-008-9950-2
   Web of Science ®Google Scholar
• Chaloulakou , A , Assimacopoulos , D. and Lekkas , T. 1999 . Forecasting daily maximum ozone concentrations in the Athens basin . Environ. Monit. Assess. , 59 : 97 – 112 . doi: 10.1023/A:1005943201063
   Web of Science ®Google Scholar
• Charlson , RJ and Rodhe , H. 1982 . Factors controlling the acidity of natural rain water . Nature , 295 : 683 – 685 . doi: 10.1038/295683a0
   Web of Science ®Google Scholar
• Comrie , A.C. 1997 . Comparing neural networks and regression models for ozone forecasting . J. Air Waste Manage. Assoc. , 47 : 653 – 663 . doi: 10.1080/10473289.1997.10463925
   Web of Science ®Google Scholar
• Donaldson , K , Mills , N. , MacNee , W. , Robinson , S. and Newby , D. 2005 . Role of inflammation in cardiopulmonary health effects of PM . Toxicol. Appl. Pharmacol. , 207 : 483 – 488 . doi: 10.1016/j.taap.2005.02.020
   PubMedGoogle Scholar
• Evans , JS , Wolff , SK. and Phonboon , K. 2002 . Exposure efficiency: An idea whose time has come . Chemosphere , 49 : 1075 – 1091 . doi: 10.1016/S0045-6535(02)00242-4
   PubMed Web of Science ®Google Scholar
• Greco , SL , Wilson , AM. , Spengler , JD. and Levy , JI. 2007 . Spatial patterns of mobile source particulate matter emissions-to-exposure relationships across the United States . Atmos. Environ. , 41 : 1011 – 1025 . doi: 10.1016/j.atmosenv.2006.09.025
   Web of Science ®Google Scholar
• Grivas , G and Chaloulakou , A. 2006 . Artificial neural network models for prediction of PM10 hourly concentrations, in the greater area of Athens, Greece . Atmos. Environ. , 40 : 1216 – 1229 . doi: 10.1016/j.atmosenv.2005.10.036
   Web of Science ®Google Scholar
• Intergovernmental Panel on Climate Change . 2007 . The Physical Science Basis: Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change , Geneva : Intergovernmental Panel on Climate Change .
   Google Scholar
• Jolliet , O and Crettaz , P. 1997 . A life cycle impact assessment methodology including fate and exposure . Int. J. Life Cycle Assess. , 2 : 104 – l10 . doi: 10.1007/BF02978768
   Google Scholar
• Jorquera , H. , Palma , W. and Tapia , J. 2000 . An intervention analysis of air quality data at Santiago, Chile . Atmos. Environ. , 34 : 4073 – 4084 . doi: 10.1016/S1352-2310(00)00161-8
   Web of Science ®Google Scholar
• Kukkonen , J. , Harkonen , J. , Karppinen , A. , Pohjola , M. , Pietarila , H. and Koskentalo , T. 2001 . A semi-empirical model for urban PM10 concentrations, and its evaluation against data from an urban measurement network . Atmos. Environ. , 35 : 4433 – 4442 . doi: 10.1016/S1352-2310(01)00254-0
   Web of Science ®Google Scholar
• Layton , D.W. 1993 . Metabolically consistent breathing rates for use in dose assessments . Health Phys. , 64 : 23 – 36 . doi: 10.1097/00004032-199301000-00003
   PubMed Web of Science ®Google Scholar
• Levy , JI , Wilson , AM. , Evans , JS. and Spengler , JD. 2003 . Estimation of primary and secondary particulate matter intake fractions for power plants in Georgia . Environ. Sci. Technol. , 37 : 5528 – 5536 . doi: 10.1021/es034484l
   PubMed Web of Science ®Google Scholar
• Longhetto , A , Giacomelli , L. , Giraud , C. and Zaramella , G. 1992 . A study of correlation among solar energy, atmospheric turbidity and pollutants in urban area . Atmos. Environ. B Urban Atmos. , 26 : 29 – 43 . doi: 10.1016/0957-1272(92)90035-Q
   Web of Science ®Google Scholar
• Marshall , JD and Behrentz , E. 2005 . Vehicle self-pollution intake fraction: Children's exposure to school bus emissions . Environ. Sci. Technol. , 39 : 2559 – 2563 . doi: 10.1021/es040377v
   PubMed Web of Science ®Google Scholar
• Marshall , JD , Teoh , SK. and Nazaroff , WW. 2005 . Intake fraction of nonreactive vehicle emission in US urban areas . Atmos. Environ. , 39 : 1363 – 1371 . doi: 10.1016/j.atmosenv.2004.11.008
   Web of Science ®Google Scholar
• Mukerjee , S. 2001 . Selected air quality trends and recent air pollution investigations in the US-Mexico border region . Sci. Total Environ. , 276 : 1 – 18 . doi: 10.1016/S0048-9697(01)00782-3
   PubMed Web of Science ®Google Scholar
• Ordieres , J. B. , Vergara , E.P. , Capuz , R.S. and Salazar , R.E. 2005 . Neural network prediction model (PM2.5) for fine particulate matter on the US-Mexico border in E1 Paso (Texas) and Ciudad Juarez (Chihuahua) . Environ. Modell. Softw. , 20 : 547 – 559 . doi: 10.1016/j.envsoft.2004.03.010
   Web of Science ®Google Scholar
• Papanastasiou , D. , Melas , D. and Kioutsioukis , I. 2007 . Development and assessment of neural network and multiple regression models in order to predict PM10 levels in a medium-sized Mediterranean city . Water Air Soil Pollut. , 182 : 325 – 334 . doi: 10.1007/s11270-007-9341-0
   Web of Science ®Google Scholar
• Pérez , P. and Trier , A. 2001 . Prediction of NO and NO2 concentrations near a street with heavy traffic in Santiago, Chile . Atmos. Environ. , 35 : 1783 – 1789 . doi: 10.1016/S1352-2310(00)00288-0
   Web of Science ®Google Scholar
• Pérez-Roa , R , Castroa , J. , Jorqueraa , H. , érez-Correaa , JR. P and Vesovic , V. 2006 . Air-pollution modeling in an urban area: Correlating turbulent diffusion coefficients by means of an artificial neural network approach . Atmos. Environ. , 40 : 109 – 125 . doi: 10.1016/j.atmosenv.2005.09.032
   Web of Science ®Google Scholar
• Sanhueza , E. 2001 . Hydrochloric acid from chlorocarbons: A significant global source of background rain acidity . Tellus , 53B : 122 – 132 . doi: 10.1034/j.1600-0889.2001.d01-11.x
   Google Scholar
• Sharda , R. 1994 . Neural networks for the OR/MS analyst: An application bibliography . Interfaces , 24 : 116 – 130 . doi: 10.1287/inte.24.2.116
   Web of Science ®Google Scholar
• Smith , KR and Ahuja , DR. 1990 . Toward a greenhouse equivalence index: The total exposure analogy . Climatic Change , 17 : 1 – 7 . doi: 10.1007/BF00148996
   Web of Science ®Google Scholar
• Smith , KR. 1993 . Fuel combustion, air pollution exposure, and health: The situation in developing countries . Annu. Rev. Environ. Resour. , 18 : 529 – 566 . doi: 10.1146/annurev.energy.18.1.529
   Web of Science ®Google Scholar
• 2009 . Evaluation of the European population intake fractions for European and Finnish anthropogenic primary fine particulate matter emissions . Atmos. Environ. , 43 : 3052 – 3059 . Tainio M., Sofiev M., Hujo M., Tuomisto JT., Loh M., Jantunen MJ., Karppinen A., Kangas L., Karvosenoja N., Kupiainen K., Porvari P., Kukkonen, J.doi:10.1016/j.atmosenv.2009.03.030
   Web of Science ®Google Scholar
• Thompson , KM and Evans , JS. 1997 . The value of improved national explore information for perchloroethylene: A case study for dry cleaners . Risk Anal. , 17 : 253 – 271 . doi: 10.1111/j.1539-6924.1997.tb00864.x
   Web of Science ®Google Scholar
• Tiittaa , P. , Raunemaa , T. , Tissari , J. , Yl-Tuomi , T. , Leskinen , A. , Kukkonen , J. , Harkonen , J. and Karppinen , A. 2002 . Measurements and modeling of PM2.5 concentrations near a major road in Kuopio, Finland . Atmos. Environ. , 36 : 4057 – 4068 . doi: 10.1016/S1352-2310(02)00309-6
   Web of Science ®Google Scholar
• U.S. Environmental Protection Agency, Office of Air and Radiation, Office of Air Quality Planning and Standards . 1997 . Fact Sheet—EPA's Recommended Final Ozone and Particulate Matters Standards , Research Triangle Park , NC : U.S. Environmental Protection Agency .
   Google Scholar
• Vahidinasab V, Jadid S, Kazemi A . 2008 . Day-ahead price forecasting in restructured power systems using artificial neural networks . Electr. Pow. Syst Res. , 78 : 1332 – 1342 . doi: 10.1016/j.epsr.2007.12.001
   Web of Science ®Google Scholar
• van Zelm , R. , Huijbregts , M.A.J. den Hollander , H.A. 2008 . European characterization factors for human health damage of PM10 and ozone in life cycle impact assessment . Atmos. Environ. , 42 : 441 – 453 . doi: 10.1016/j.atmosenv.2007.09.072
   Web of Science ®Google Scholar
• Wang , GH , Huang , LM. and Gao , SX. 2002 . Measurements of PM10 and PM2.5 in urban area of Nanjing, China and the assessment of pulmonary deposition of particle mass . Chemosphere , 48 : 689 – 695 . doi: 10.1016/S0045-6535(02)00197-2
   PubMed Web of Science ®Google Scholar
• Wang , HL , Zhuang , YH. and Wang , Y. 2008 . Long-term monitoring and source apportionment of PM2.5/PM10 in Beijing, China . J. Entomol. Sci. , 20 : 1323 – 1327 . doi: 10.1016/S1001-0742(08)62228-7
   Google Scholar
• Wang , SX , Hao , JM. , Ho , MS. , Li , J. and Lu , YQ. 2006 . Intake fractions of industrial air pollutants in China: Estimation and application . Sci. Total Environ. , 354 : 127 – 141 . doi: 10.1016/j.scitotenv.2005.01.045
   PubMed Web of Science ®Google Scholar
• Wolff , SK. 2000 . Evaluation of fine particle exposures, health risks, and control options , Doctoral dissertation .
   Google Scholar
• Wu , JH , Zhu , T. , Feng , YC. , Bi , XH. and Li , JP. 2008 . Analytic studies on source of TSP and PM10 in environmental air of Taiyuan City [in Chinese] . Urban Environ. Urban Ecol. , 21 : 40 – 43 .
   Google Scholar
• Zhang , DS , Aunan , K. and Seip , HM. 2010 . The assessment of health damage caused by air pollution and its implication for policy making in Taiyuan, Shanxi, China . Energy Policy , 38 : 491 – 502 . doi: 10.1016/j.enpol.2009.09.039
   Web of Science ®Google Scholar
• Zhou , Y , Levy , JI. , Evans , JS. and Hammitt , JK. 2006 . The influence of geographic location on population exposure to emissions from power plants throughout China . Environ. Int. , 32 : 365 – 373 . doi: 10.1016/j.envint.2005.08.028
   PubMed Web of Science ®Google Scholar