成都市大气污染物排放清单高分辨率的时空分配

传统的污染物时空分配方法由于分辨率较低而常无法满足空气质量模拟的需要.本研究根据各污染源的排放特点,确定可用于高分辨率时空分配的识别因子和建立时空分配权重的估算方法,并以成都市为例,建立了2012年成都地区高分辨率时空分配清单.结果表明,根据清单的时空分配结果,成都市的污染物排放主要集中在成都市区、成都周边的工业区(特别是东部城区)及交通流量大的高速路地区,且排放时间大部分集中在冬季和春季.这与实际的污染排放来源及环境空气质量的实际监测结果较为一致.说明本研究提出的高分辨时空分配方法较为合理可靠,可以有效降低传统方法空间分配的偏差和提高分配结果的精度,可满足后续的空气质量模拟的需要.

The high-resolution temporal and spatial allocation of emission inventory for Chengdu

The conventional approach for temporal and spatial allocation of emissions had suffered from low-resolution and usually cannot meet the requirement for air quality modeling. A temporal and spatial allocation approach with high-resolution for emission inventory was developed by identifying the key parameters to characterize the emission sources. The approach was then used for temporal and spatial allocation of emission inventory in Chengdu for the year 2012. According to the new allocations of emissions, the urban areas, the sub-urban industrial area (east part of Chengdu), and roadways with heavy traffic contribute the majority of emissions as expected, and Winter and Spring were the two seasons that are associated with relatively high emissions as reflected in the environmental monitoring data. This implies that the developed approach was feasible and plausible and can be used to reduce the biases and improve the precision as compared to the conventional allocation method. Grid-based emission inventory developed by this approach is suitable for air quality modelling.