Modeling particulate matter emissions during mineral loading process under weak wind simulation

被引:39
|
作者
Zhang, Xiaochun [1 ,2 ]
Chen, Weiping [1 ]
Ma, Chun [2 ]
Zhan, Shuifen [2 ]
机构
[1] Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China
[2] Minist Transport, Tianjin Res Inst Water Transport Engn, Tianjin 300456, Peoples R China
关键词
Particulate matter emission; Mathematical model; Particles; Mineral loading; Wind tunnel; COAL-DUST; AEROSOLS;
D O I
10.1016/j.scitotenv.2013.01.050
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The quantification of particulate matter emissions from mineral handling is an important problem for the quantification of global emissions on industrial sites. Mineral particulate matter emissions could adversely impact environmental quality in mining regions, transport regions, and even on a global scale. Mineral loading is an important process contributing to mineral particulate matter emissions, especially under weak wind conditions. Mathematical models are effective ways to evaluate particulate matter emissions during the mineral loading process. The currently used empirical models based on the form of a power function do not predict particulate matter emissions accurately under weak wind conditions. At low particulate matter emissions, the models overestimated, and at high particulate matter emissions, the models underestimated emission factors. We conducted wind tunnel experiments to evaluate the particulate matter emission factors for the mineral loading process. A new approach based on the mathematical form of a logistical function was developed and tested. It provided a realistic depiction of the particulate matter emissions during the mineral loading process, accounting for fractions of fine mineral particles, dropping height, and wind velocity. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:168 / 173
页数:6
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