中文摘要：

为了研究垃圾填埋场恶臭气体硫化氢在大气中的扩散规律，以某垃圾填埋场为例，利用AERMOD空气扩散模型输出垃圾填埋场周边地区各网格点的浓度预测结果，并利用Suffer软件绘制最高浓度等值线图。根据模拟结果、浓度等值线图得到最不利气象条件下整个区域的硫化氢浓度分布。通过浓度分布图分析得出，垃圾填埋场恶臭对周边的污染主要受到气象条件、地理位置、恶臭间歇性高释放率的释放特点、恶臭释放源强等因素的影响。

英文摘要：

The present paper is intended to introduce the research on the diffusion law of odor from landfill. Hydrogen sulfide is one of the principal gases which cause the odor of landfill. Aiming to solve this problem, we have applied AERMOD dispersion model in the simulation of hydrogen sulfide concentration for the region around the landfill site. The AMS/EPA Regulatory Model （AERMOD） is an air quality dispersion modeling system available frum the U. S. Environmental Protection Agency （EPA）. This paper has selected a landfill site as the case study and a detailed investigation covering the landfill and its surrounding area has been carried out. In order to simulate the actual situation, we have adopted environmental and meteorological data to calculate the hydrogen sulfide eoneentration. The emission of odor is episodic, whieh is characterized by periods of high emission rates and interspersed with periods of low emissions. The transport of odor is affeeted by factors such as seasons, duration of day time and the atmospheric conditions which influencing the diffusion of odor. In this paper, we have used the highest average hourly concentration and the highest average daily concentration for all the grid points. Hence, the concentration distribution of hydrogen sulfide for the most adverse weather condition was obtained. With the model, the concentration of hydrogen sulfide in area surrounding the landfill site can be characterized by using the coneentration contours. We have used Surfer software to draw the contours. From the simulation results and the concentration eontours, we can conclude that the diffusion of odor from landfill could be attributed to various tactors such as meteorological condition, geographical position and odor emission rate as well as its characteristics. Finally, in comparison with the previous research, we have confirmed the model＇s applicability in the simulation of odor diffusion. Briefly, the mentioned method provides scientific basis for the planning of health protection fnr the