AERMOD模型在大气二氧化硫空间分布格局研究中的应用
Application of AERMOD model in the study of sulfur dioxide spatial distribution pattern at county scale

整合闽清县的气象、地形、污染源等数据，综合运用分数偏差与参数估计最优化方法研究反照率、波文比及地表粗糙度3个地表参数设置对 AERMOD模式预测结果的影响程度及趋势，并在地表参数率定的基础上建立县域尺度上的AERMOD模型. 此外利用AERMOD模型模拟闽清县的SO2污染现状并作出SO2空间分布图，结合闽清县大气污染防治规划提出煤改天然气措施并进行情景模拟，以期为模型运用、大气环境评价及污染防控提供一定参考.
Based on the meteorological，topographical and pollution sources data and application of the fractional bias and optimization method for parameter estimation，this thesis had studied the influence and tendency of three land surface parameters (bowen ration，albedo and land surface roughness) setting on predicting results of AMS/EPA REGULATORY MODEL（AERMOD）. On the basis of land surface parameters calibration，the AERMOD model was established at Minqing County scale. In addition，the SO2 pollution situation and spatial distribution pattern in Minqing County were analyzed by AERMOD and the SO2 spatial distribution maps were given. At the same time，according to the air pollution prevention and control planning of Minqing County，the project of changing fuel from coal to natural gas was put forward and the scenario simulation was conducted. The results of the thesis can provide a reference for the application of AERMOD，atmospheric environmental assessment and pollution prevention and control in local scale