我国城市间大气污染物的相互输送作用非常显著.舟山市大气污染物主要来源于长三角地区,本地源影响较小.因此,本文将以舟山市为例,应用频度统计分析方法,研究舟山市大气PM10污染演化宏观动态的统计分布规律.结果发现,舟山市大气PM10小时平均浓度的波动并非随机,而是在0.065~0.324 mg·m-3范围内具有标度不变特征,统计上服从典型的分形幂律分布.同时,为了阐明该分形幂律分布的产生动力机制,基于自组织临界理论,建立了大气PM10跨界输送模型.该模型以污染输送机制、二次颗粒物生成机制、城市内污染迁移扩散机制、大气自净机制这4个主导动力机制为核心,组建了非线性关联迭代算法.新的自组织动力模型的模拟结果定量地解释了舟山市大气PM10污染浓度的分形幂律统计分布规律的产生根源.同时,本研究结合区域风场等气象因素,深入讨论了大气PM10跨界输送的自组织行为机制.
The inter-city transport of air pollutants is significant in China. Air pollutants transported from other cities in the Yangtze River Delta contributed more significantly than local emissions to the pollution in Zhoushan City. With frequency analysis,we found that the PM10 hourly concentrations in Zhoushan city appeared to be scale-invariant within the range of 0. 065 ~ 0. 324 mg·m-3,and were characterized by a power-law distribution. In order to investigate the mechanism for such characteristics in PM10 concentrations distributions,a self-organized criticality(SOC)-based numerical sandpile model was developed. This model takes into account pollutants trans-boundary transport,the formation of secondary pollutants,pollutants intra-city diffusion and transport,and pollutants sink and decay for nonlinear recursive simulation. The impact of the regional meteorological factors such as wind field on the model was also further discussed.