참고문헌
- Bishop, C.M. (1995) Neural Networks for Pattern Recognition, Clarendon Press, Oxford, New York
-
Boznar, M., M. Lesjak, and P. Mlakar (1993) A neural network-based method for short-term predictions of ambient
$SO_2$ concentrations in highly polluted industrial areas of complex terrain, Atmospheric Environment, 27(2), 221-230 - Chang, J.C. and S.R. Hanna (2004) Air quality model performance evaluation, Meteorology and Atmospheric Physics, 87, 167-196
- Chelani, A.B., C.V. Chalapati Rao, K.M. Phadke, and M.Z. Hansan (2002) Prediction of sulfur dioxide concentration using artificial neural networks, Environmental Modeling & Software, 17, 161-168
- Choi, H.J., H.W. Lee, and K.H. Sung (2007) Air quality modeling of ozone concentration according to the roughness length on the complex terrain, J. KOSAE, 23(4), 430-439 https://doi.org/10.5572/KOSAE.2007.23.4.430
- Christine, A. and M. John (2001) The importance of meteorological data for modeling air pollution using ADMS-Urban, Meteorological Application, 8, 345-350 https://doi.org/10.1017/S1350482701003103
- Collet, R.S. and K. Oluyemi (1997) Air quality modeling: a technical review of mathematical approaches, Meteorological Applications, 4, 235-246 https://doi.org/10.1017/S1350482797000455
- Comrie, A.C. (1997) Comparing neural networks and regression models for ozone forecasting, Journal of Air and Waste Management, 47, 653-663 https://doi.org/10.1080/10473289.1997.10463925
- Gardner, M.W. and S.R. Dorling (1998) Artificial neural networks (the multilayer perception)-A review of applications in the atmospheric science, Atmospheric Environment, 32, 2627-2636 https://doi.org/10.1016/S1352-2310(97)00447-0
- Hanna, S.R., B.A. Egan, C.J. Vaudo, and A.J. Curreri (1984) A complex terrain dispersion model for regulatory applications at the WESTVACO LUKE mill, Atmospheric Environment, 18(4), 685-699 https://doi.org/10.1016/0004-6981(84)90255-5
- Hanna, S.R., B.A. Egan, J. Purdum, and J. Wagler (2001) Evaluation of the ADMS, AERMOD, and ISC3 dispersion models with the OPTEX, Duke Forest, Kincaid, Indianapolis and Lovett field datasets, International Journal of Environment and Pollution, 16(1-6), 301-314 https://doi.org/10.1504/IJEP.2001.000626
- Hormik, K., M. Stinchcombe, and H. White (1989) Multilayer feedforward networks are universal approximators, Neural Networks, 2(5), 395-366 https://doi.org/10.1016/0893-6080(89)90024-5
- James, O.P., G.P. Steven, and J.B. Donna (1992) CTDMPLUS: A dispersion model for sources near complex topography. Part II: performance characteristics, Journal of Applied Meteorology, 31, 646-660 https://doi.org/10.1175/1520-0450(1992)031<0646:CADMFS>2.0.CO;2
- Kim, Y.G. and C.B. Lee (1994) Development of neural network model for prediction of daily maximum ozone concentration in Summer, J. KAPRA, 10(4), 224-232
- Lyon, W.A. and H.S. Cole (1973) Fumigation and plume trapping on the shores of Lake Mishigan during stable onshore flow, Journal of Applied Meteorology, 12, 494-510 https://doi.org/10.1175/1520-0450(1973)012<0494:FAPTOT>2.0.CO;2
-
Mok, K.M. and S.C. Tam (1998) Short-term prediction of
$SO_2$ concentration in Macau with artificial neural networks, Energy and Building, 28, 279-286 https://doi.org/10.1016/S0378-7788(98)00024-3 - Park, O.H. and C.H. Kim (1984) Prediction of urban air pollution using a simple urban dispersion model combined with statistical method, Journal of Korean Society of Environmental Engineers, 6(2), 1-12
- Park, O.H. and M.G. Seok (2007) Selection of an appropriate model to predict plume dispersion in coastal area, Atmospheric Environment, 41, 6095-6101 https://doi.org/10.1016/j.atmosenv.2007.04.010
- Rege, A.R. and R.W. Tock (1996) A simple neural network for estimating emission rates of hydrogen sulfide and ammonia from single point sources, Journal of Air and Waste Management Association, 46, 953-962 https://doi.org/10.1080/10473289.1996.10467530
- Sin, J.Y. (2006) Thesis for Masters in Eng., Pusan National University
- Tamada, T., S. Bunker, and M. Moss (1992) Numerical simulations of atmospheric transport and diffusion over coastal complex terrain, Journal of Applied Meteorology, 31, 565-578 https://doi.org/10.1175/1520-0450(1992)031<0565:NSOATA>2.0.CO;2
- US EPA (2000) Requirements for preparation, adoption, and submittal of state implementation plans (Guideline on Air Quality Models); proposed rule, Federal Register 65(28), 21505-21546
- van Dop, H., R. Steenkist, and F.T. Nieuwstadt (1979) Revised estimates for continuous shoreline fumigation, Journal of Applied Meteorology, 18, 133-137 https://doi.org/10.1175/1520-0450(1979)018<0133:REFCSF>2.0.CO;2
- Yi, J. and V.R. Prybutok (1996) A neural network model forecasting for prediction of daily maximum ozone concentration in an industrialized urban area, Environmental Pollution, 92, 349-357 https://doi.org/10.1016/0269-7491(95)00078-X
-
Zannettii, P., P. Melli, and E. Runca (1976) Meteorological factor affecting
$SO_2$ pollution levels in Venice, Atmospheric Environment, 11, 605-616 -
Zawar-Rezam, P., S. Kimgham, and J. Pearce (2005) Evaluation of a year-long dispersion modeling of
$PM_{10}$ using the mesoscale model TAPM for Christchurch, New Zealand, Science of Total Environment, 349, 249-259 https://doi.org/10.1016/j.scitotenv.2005.01.037 - Ziomas, I.C., P. Tzoumaka, and D. Balis (1998) Ozone episodes in Athens, Greece. A modeling approach using data from the medcaphot-trace, Atmospheric Environment, 32, 2313-2321 https://doi.org/10.1016/S1352-2310(97)00414-7