Spatial distribution and source analysis of SO2 concentration in Urumqi

被引:10
|
作者
Li, Shiyao [1 ]
Xie, Shaodong [1 ]
机构
[1] Peking Univ, Coll Environm Sci & Engn, State Key Joint Lab Environm Simulat & Pollut Con, Beijing 100871, Peoples R China
关键词
Urumqi; CALPUFF; SO2; Spatial distribution; Source analysis; MODELING SYSTEM; AIR-QUALITY; WRF/CALPUFF; IMPACT; PLANT; AREA; CITY;
D O I
10.1016/j.ijhydene.2016.04.142
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
This paper applies CALPUFF model to simulate the spatial distribution of sulfur dioxide in Urumqi and analyzes the source contribution to areas where the SO2 concentration is high. The result shows that annual mean concentration is highest in the middle of Saybagh and with the value of 44 mu g/m(3). The maximum 24-h averaged SO2 concentration is highest in the junction area of the middle-west of Saybagh and the north of Urumqi county, and the highest value is 467 mu g/m(3). The spatial distribution of SO2 in January is similar to that in October, and April is similar to that in July. National monitoring stations are dense in the middle of city where the concentration is low and cant reflect the spatial distribution effectively. Baosteel group contributes most to the Saybagh high concentration area (37 mu g/m(3)/a); China National Petroleum Corporation Urumqi petrochemical company contributes most to the Midong high concentration area (5.3 mu g/m(3)/a); Houxia power plant contributes most to the Houxia high concentration area (33 mu g/m(3)/a). (C) 2016 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:15899 / 15908
页数:10
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