A method of restoring the aerosol particle size distribution function on the set of piecewise-convex functions
Keywords:
aerosol particle size distribution function, Fredholm integral equations of the first-kind, conjugate gradient projection method, piecewise-convex functionsAbstract
The problem of restoring the aerosol particle size distribution function with the use of the measured particle extinction spectrum is considered. This problem is reduced to a Fredholm integral equation of the first-kind. The conjugate gradient method with the projection on a constraint set is applied as a minimization process of the residual functional. The constraints are chosen as piecewise-convex functions on the basis of physical features of the sought solution. An efficient scheme of regularization for the problems of such a type is proposed. This work was partially supported by the Russian Foundation for Basic Research (projects os. 11-01-00040 and 10-01-91150-NFSC).
References
Houghton J.T., Meira Filho L.G., Callander B.A., Harris N., Kattenberg A., Maskell K. Climate change 1995. Cambridge: Cambridge University Press, 1995.
Junge C.E. The size distribution and aging of natural aerosols as determined from electrical and optical data on the atmosphere // J. Meteor. 1955. N 12. 13-25.
Deirmendjian D. Electromagnetic scattering on spherical polydispersions. New York: Elsevier, 1969.
Heintzenberg J. Properties of Log-normal particle size distributions // Aerosol Sci. Tech. 1994. N 21. 46-48.
Woodcock A.H. Salt nuclei in marine air as a function of altitude and wind force // J. Meteor. 1953. N 10. 362-371.
Twomey S. Atmospheric aerosols. Amsterdam: Elsevier, 1977.
Bohren G.F., Huffman D.R. Absorption and scattering of light by small particles. New York: Wiley, 1983.
Angström A.A. On the atmospheric transmission of Sun radiation and on dust in the air // Geografiska Annaler. 1929. N 11. 156-166.
King M.D., Byrne D.M., Herman B.M., Reagan J.A. Aerosol size distributions obtained by inversion of spectral optical depth measurements // J. Atmos. Sci. 1978. N 35. 2153-2167.
Stratton J.A. Electromagnetic theory. New York: McGraw-Hill, 1941.
Twomey S. Comparison of constrained linear inversion and an iterative nonlinear algorithm applied to the indirect estimation of particle size distribution // J. Comput. Phys. 1975. N 18. 188-200.
Bockmann C., Kirsche A. Iterative regularization method for lidar remote sensing // Computer Physics Communications. 2006. N 174. 607-615.
Voutilainenand A., Kaipio J.P. Statistical inversion of aerosol size distribution data // J. Aerosol Sci. 2000. N 31. 767-768.
Wang Y.F., Fan S.F., Feng X. Retrieval of the aerosol particle size distribution function by incorporating a priori information // J. of Aerosol Science. 2007. N 38. 885-901.
Иванов В.К., Васин В.В., Танана В.П. Теория линейных некорректных задач и ее приложения. М.: Наука, 1978.
Танана В.П. Методы решения операторных уравнений. М.: Наука, 1981.
Тихонов А.Н., Леонов А.С., Ягола А.Г. Нелинейные некорректные задачи. М.: Наука, 1995.
Николаева Н.Н., Титаренко В.Н., Ягола А.Г. Оценка погрешности решения уравнения Абеля на множествах монотонных и выпуклых функций // Сибирский журнал вычислительной математики. 2003. 6. 171-180.
Карманов В.Г. Математическое программирование. М.: Наука, 1986.
Экланд И., Темам Р. Выпуклый анализ и вариационные проблемы. М.: Мир, 1979.
Магарил-Ильяев Г.Г., Тихомиров В.М. Выпуклый анализ и его приложения. М.: Эдиториал УРСС, 2000.
Васильев Ф.П., Иваницкий А.Ю. Линейное программирование. М.: Изд-во «Факториал», 1998.
Cormen T.H., Leiserson C.E., Rivest R.L., Stein C. Introduction to algorithms. New York: McGraw-Hill, 2002.
Гончарский А.В., Леонов А.С., Ягола А.Г. Обобщенный принцип невязки // Журн. вычисл. матем. и матем. физ. 1973. 13, № 2. 294-302.
Морозов В.А. Регулярные методы решения некорректно поставленных задач. М.: Наука, 1987.
Леонов А.С. Псевдооптимальный выбор параметра в методе регуляризации // Журн. вычисл. матем. и матем. физ. 1995. 35, № 7. 1034-1049.