WRF modeling of PM2.5 remediation by SALSCS and its clean air flow over Beijing terrain

被引：23

作者：

Cao, Qingfeng ^{[1
]}

Shen, Lian ^{[1
]}

Chen, Sheng-Chieh ^{[1
]}

Pui, David Y. H. ^{[1
]}

机构：

[1] Univ Minnesota, Dept Mech Engn, 111 Church St SE, Minneapolis, MN 55455 USA

来源：

SCIENCE OF THE TOTAL ENVIRONMENT | 2018年 / 626卷

关键词：

SALSCS; Air pollution reduction; WRF; Atmospheric simulation; Clean air; SURFACE-HYDROLOGY MODEL; CHIMNEY POWER-PLANTS; URBAN CANOPY MODEL; THEORETICAL PERFORMANCE; ATMOSPHERIC MODEL; PART II; POLLUTION; CHINA; SIMULATIONS; IMPACT;

D O I：

10.1016/j.scitotenv.2018.01.062

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Atmospheric simulations were carried out over the terrain of entire Beijing, China, to investigate the effectiveness of an air-pollution cleaning system named Solar-Assisted Large-Scale Cleaning System (SALSCS) for PM2.5 mitigation by using the Weather Research and Forecasting (WRF) model. SALSCS was proposed to utilize solar energy to generate airflow there from the airborne particulate pollution of atmosphere was separated by filtration elements. Our model used a derived tendency term in the potential temperature equation to simulate the buoyancy effect of SALSCS created with solar radiation on its nearby atmosphere. PM2.5 pollutant and SALSCS clean air were simulated in the model domain by passive tracer scalars. Simulation conditions with two system flow rates of 2.64 x 10(5) m(3)/s and 3.80 x 10(5) m(3)/s were tested for seven air pollution episodes of Beijing during the winters of 2015-2017. The numerical results showed that with eight SALSCSs installed along the 6th Ring Road of the city, 11.2% and 14.6% of PM2.5 concentrations were reduced under the two flow-rate simulation conditions, respectively. (C) 2018 Elsevier B.V. All rights reserved.

引用

页码：134 / 146

页数：13

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