کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5025323 1470582 2017 36 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Application of an improved artificial bee colony algorithm to inverse problem of aerosol optical constants from spectral measurement data
ترجمه فارسی عنوان
استفاده از یک الگوریتم کلونی بهبودی مصنوعی زنبور عسل به مسئله معکوس کنتورهای نوری آئروسل از داده های اندازه گیری طیفی
کلمات کلیدی
الگوریتم کلونی زنبور عسل مصنوعی، آئروسل، ثابت نوری، مشکل تابش معکوس،
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی (عمومی)
چکیده انگلیسی
An improved Artificial Bee Colony (IABC) algorithm is introduced to obtain the optical constants of aerosols from the spectral measurement data of the aerosol dispersion medium. The direct problem solved using the Finite Volume Method (FVM) combined with Mie scattering theory is used to study the radiative transfer process in the aerosol dispersion medium. Compared with standard Artificial Bee Colony (ABC) algorithm, the IABC can avoid local optima and improve convergence accuracy. Based on the IABC, the optical constants of aerosols over Harbin, China are retrieved under different random measurement errors. Results indicate that there is acceptable retrieval accuracy without errors, and the retrieval accuracy reduces if errors increase. To improve retrieval accuracy, two improved inverse models, namely as double-concentration and double-layer inverse models, are proposed. The investigation reveals that the improved inverse models, especially double-concentration inverse model, can give more accurate predictions even with errors. Finally, the optical constants of aerosols over Beijing available on the website of AERONET are also reconstructed by IABC satisfactorily. All the results show that the IABC is a potential and effective optimal algorithm to retrieve the optical constants of aerosols, especially under improved inverse models.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Optik - International Journal for Light and Electron Optics - Volume 145, September 2017, Pages 316-329
نویسندگان
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