کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8863860 | 1620292 | 2018 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Emission characteristics and chemical components of size-segregated particulate matter in iron and steel industry
ترجمه فارسی عنوان
خصوصیات انتشار و اجزای شیمیایی ذرات جدا شده اندازه در صنایع آهن و فولاد
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کلمات کلیدی
ذرات جامد، صنعت آهن و فولاد، اجزای شیمیایی، توزیع اندازه ذرات،
موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
علم هواشناسی
چکیده انگلیسی
As one of the highest energy consumption and pollution industries, the iron and steel industry is regarded as a most important source of particulate matter emission. In this study, chemical components of size-segregated particulate matters (PM) emitted from different manufacturing units in iron and steel industry were sampled by a comprehensive sampling system. Results showed that the average particle mass concentration was highest in sintering process, followed by puddling, steelmaking and then rolling processes. PM samples were divided into eight size fractions for testing the chemical components, SO42â and NH4+ distributed more into fine particles while most of the Ca2+ was concentrated in coarse particles, the size distribution of mineral elements depended on the raw materials applied. Moreover, local database with PM chemical source profiles of iron and steel industry were built and applied in CMAQ modeling for simulating SO42â and NO3â concentration, results showed that the accuracy of model simulation improved with local chemical source profiles compared to the SPECIATE database. The results gained from this study are expected to be helpful to understand the components of PM in iron and steel industry and contribute to the source apportionment researches.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Atmospheric Environment - Volume 182, June 2018, Pages 115-127
Journal: Atmospheric Environment - Volume 182, June 2018, Pages 115-127
نویسندگان
Jia Jia, Shuiyuan Cheng, Sen Yao, Tiebing Xu, Tingting Zhang, Yuetao Ma, Hongliang Wang, Wenjiao Duan,