@article {li2016spatial,
	title = {Spatial distribution and source analysis of SO2 concentration in Urumqi},
	journal = {International Journal of Hydrogen Energy},
	volume = {41},
	number = {35},
	year = {2016},
	pages = {15899{\textendash}15908},
	publisher = {Elsevier},
	abstract = {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\&nbsp;concentration is high. The result shows that annual mean concentration is highest in the middle of Saybagh and with the value of 44\&nbsp;μg/m3. The maximum 24-h averaged SO2\&nbsp;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\&nbsp;μg/m3. The spatial distribution of SO2\&nbsp;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 can{\textquoteright}t reflect the spatial distribution effectively. Baosteel group contributes most to the Saybagh high concentration area (37\&nbsp;μg/m3/a); China National Petroleum Corporation Urumqi petrochemical company contributes most to the Midong high concentration area (5.3\&nbsp;μg/m3/a); Houxia power plant contributes most to the Houxia high concentration area (33\&nbsp;μg/m3/a).},
	url = {https://www.sciencedirect.com/science/article/pii/S0360319916310862},
	author = {Li, Shiyao and Shaodong Xie}
}
