메뉴 건너뛰기




Volumn 44, Issue 31, 2010, Pages 3787-3796

Characterization of atmospheric contaminant sources using adaptive evolutionary algorithms

Author keywords

Dispersion modeling; Evolutionary algorithms; Monte Carlo; Source characterization

Indexed keywords

AES ALGORITHMS; ATMOSPHERIC CONTAMINANTS; ATMOSPHERIC STABILITY CLASS; DISPERSION MODELING; DISPERSION SIMULATIONS; EVOLUTIONARY STRATEGIES; FIELD EXPERIMENT; GAUSSIAN PLUME MODELS; GROUND CONCENTRATIONS; GROUND MEASUREMENTS; MASS EMISSIONS; MONTE CARLO; PRAIRIE GRASS; SOURCE CHARACTERISTICS; SOURCE CHARACTERIZATION; WIND DIRECTIONS;

EID: 77955843573     PISSN: 13522310     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2010.06.046     Document Type: Article
Times cited : (20)

References (30)
  • 1
    • 84976750819 scopus 로고
    • A method of bivariate interpolation and smooth surface fitting for irregularly distributed data points
    • Association for Computing Machinery, Inc, 148-159
    • Akima H. A method of bivariate interpolation and smooth surface fitting for irregularly distributed data points. ACM Transactions on Mathematical Software 1978, vol. 4. Association for Computing Machinery, Inc, 148-159.
    • (1978) ACM Transactions on Mathematical Software , vol.4
    • Akima, H.1
  • 2
    • 33847073334 scopus 로고    scopus 로고
    • Improving pollutant source characterization by better estimating wind direction with a genetic algorithm
    • Allen C.T., Young G.S., Haupt S.E. Improving pollutant source characterization by better estimating wind direction with a genetic algorithm. Atmospheric Environment 2007, 41(11):2283-2289.
    • (2007) Atmospheric Environment , vol.41 , Issue.11 , pp. 2283-2289
    • Allen, C.T.1    Young, G.S.2    Haupt, S.E.3
  • 4
    • 0003721508 scopus 로고
    • Project Prairie Grass, a field program in diffusion
    • Geophysical Research Paper, No. 59, Report AFCRC-TR-58-235, Air Force Cambridge Research Center
    • Barad, M., 1958. Project Prairie Grass, a field program in diffusion. Tech. Rep. Geophysical Research Paper, No. 59, Report AFCRC-TR-58-235, Air Force Cambridge Research Center, 218pp.
    • (1958) Tech. Rep , pp. 218
    • Barad, M.1
  • 5
    • 77953543708 scopus 로고    scopus 로고
    • Monte Carlo source detection of atmospheric emissions and error functions analysis
    • Cervone G., Franzese P. Monte Carlo source detection of atmospheric emissions and error functions analysis. Computers & Geosciences 2010, 36(7):902-909.
    • (2010) Computers & Geosciences , vol.36 , Issue.7 , pp. 902-909
    • Cervone, G.1    Franzese, P.2
  • 9
    • 19144367385 scopus 로고    scopus 로고
    • Use of Salt Lake City urban 2000 field data to evaluate the urban hazard prediction assessment capability (HPAC) dispersion model
    • Chang J.C., Hanna S.R., Boybeyi Z., Franzese P. Use of Salt Lake City urban 2000 field data to evaluate the urban hazard prediction assessment capability (HPAC) dispersion model. Journal of Applied Meteorology 2005, 44(4).
    • (2005) Journal of Applied Meteorology , vol.44 , Issue.4
    • Chang, J.C.1    Hanna, S.R.2    Boybeyi, Z.3    Franzese, P.4
  • 11
    • 57649148635 scopus 로고    scopus 로고
    • Source inversion for contaminant plume dispersion in urban environments using building-resolving simulations
    • Chow F., Kosović B., Chan T. Source inversion for contaminant plume dispersion in urban environments using building-resolving simulations. Journal of Applied Meteorology and Climatology 2008, 47:1553-1572.
    • (2008) Journal of Applied Meteorology and Climatology , vol.47 , pp. 1553-1572
    • Chow, F.1    Kosović, B.2    Chan, T.3
  • 14
    • 0025659219 scopus 로고
    • Uncertainties in source emission rate estimates using dispersion models
    • A
    • Hanna S.R., Chang J.C., Strimaitis G.D. Uncertainties in source emission rate estimates using dispersion models. Atmospheric Environment 1990, 24A(12):2971-2980.
    • (1990) Atmospheric Environment , vol.24 , Issue.12 , pp. 2971-2980
    • Hanna, S.R.1    Chang, J.C.2    Strimaitis, G.D.3
  • 16
    • 27544460592 scopus 로고    scopus 로고
    • A demonstration of coupled receptor/dispersion modeling with a genetic algorithm
    • Dec
    • Haupt S.E. A demonstration of coupled receptor/dispersion modeling with a genetic algorithm. Atmospheric Environment Dec. 2005, 39(37):7181-7189.
    • (2005) Atmospheric Environment , vol.39 , Issue.37 , pp. 7181-7189
    • Haupt, S.E.1
  • 17
    • 58249134580 scopus 로고    scopus 로고
    • A genetic algorithm method to assimilate sensor data for a toxic contaminant release
    • Haupt S.E., Young G.S., Allen C.T. A genetic algorithm method to assimilate sensor data for a toxic contaminant release. Journal of Computers 2007, 2(6):85-93.
    • (2007) Journal of Computers , vol.2 , Issue.6 , pp. 85-93
    • Haupt, S.E.1    Young, G.S.2    Allen, C.T.3
  • 20
    • 53749103468 scopus 로고    scopus 로고
    • Dynamic bayesian models via monte carlo - an introduction with examples -
    • UCRL-TR-207173, Lawrence Livermore National Laboratory.
    • Johannesson, G., Hanley, B., Nitao, J., 2004. Dynamic bayesian models via monte carlo - an introduction with examples - Tech. Rep. UCRL-TR-207173, Lawrence Livermore National Laboratory.
    • (2004) Tech. Rep
    • Johannesson, G.1    Hanley, B.2    Nitao, J.3
  • 22
    • 57649240795 scopus 로고    scopus 로고
    • Synthetic event reconstruction experiments for defining sensor network characteristics
    • UCRL-TR-217762, Lawrence Livermore National Laboratory.
    • Lundquist, J.K., Kosović, B., Belles, R., 2005. Synthetic event reconstruction experiments for defining sensor network characteristics. Tech. Rep. UCRL-TR-217762, Lawrence Livermore National Laboratory.
    • (2005) Tech. Rep
    • Lundquist, J.K.1    Kosović, B.2    Belles, R.3
  • 25
    • 34748824184 scopus 로고    scopus 로고
    • Source estimation methods for atmospheric dispersion
    • Rao S.K. Source estimation methods for atmospheric dispersion. Atmospheric Environment 2007, 41(33):6964-6973.
    • (2007) Atmospheric Environment , vol.41 , Issue.33 , pp. 6964-6973
    • Rao, S.K.1
  • 26
    • 0003502414 scopus 로고
    • Evolutionstrategie - optimierung technischer systeme nach prinzipien der biologischen evolution
    • Ph.D. thesis, Technical University of Berlin.
    • Rechenberg, I., 1971. Evolutionstrategie - optimierung technischer systeme nach prinzipien der biologischen evolution. Ph.D. thesis, Technical University of Berlin.
    • (1971)
    • Rechenberg, I.1
  • 28
    • 0007958081 scopus 로고
    • Numerische optimierung von computer-modellen
    • Ph.D. thesis, Technical University of Berlin.
    • Schwefel, H.-P., 1974. Numerische optimierung von computer-modellen. Ph.D. thesis, Technical University of Berlin.
    • (1974)
    • Schwefel, H.-P.1
  • 29
    • 53749094775 scopus 로고    scopus 로고
    • Stochastic event reconstruction of atmospheric contaminant dispersion using Bayesian inference
    • Senocak I., Hengartner N., Short M., Daniel W. Stochastic event reconstruction of atmospheric contaminant dispersion using Bayesian inference. Atmospheric Environment 2008, 42(33):7718-7727.
    • (2008) Atmospheric Environment , vol.42 , Issue.33 , pp. 7718-7727
    • Senocak, I.1    Hengartner, N.2    Short, M.3    Daniel, W.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.