A recently developed open source tool kit named the Trajectory based Potential Source Apportionment (TraPSA) was used to identify the sources of respirable particulates at Kochi, India. Using 24-h average particulate matter data from samples collected at five regulatory monitoring stations over the five-year period from January 2011 to October 2016, local and regional scale analyses were made. Concentration field analysis was performed using back trajectories generated by Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model with inputs from atmospheric reanalysis data. Conditional bivariate probability function analyses were made using local meteorology data to identify the influence of local sources. Most of the stations indicated the contribution from local traffic activities during low wind conditions and from a nearby industrial area especially during high speed winds. Back trajectory analysis identified potential source areas in Kerala as well as in nearby state of Tamil Nadu as contributing to the air quality at Kochi. Arabian sea on the western side was also observed to be a potential source area for Kochi. The study demonstrated the utility of TrapSA as a tool for deriving information about the potential source areas affecting particulate matter mass concentrations.

最近开发了一种名为基于轨迹的潜在源分配（TraPSA）的开源工具包，用于识别印度高知的可吸入颗粒物来源。使用2011年1月至2016年10月这5年期间从五个监管监测站收集的样本中的24小时平均颗粒物数据，进行了本地和区域规模分析。使用混合单粒子拉格朗日综合轨迹（HYSPLIT）模型生成的反向轨迹并使用大气再分析数据的输入来进行浓度场分析。使用当地气象数据进行了条件双变量概率函数分析，以确定当地来源的影响。大多数台站都表明在低风条件下以及附近工业区，特别是在高速风期间当地交通活动的贡献。反向轨迹分析确定了喀拉拉邦以及附近泰米尔纳德邦州的潜在污染源区域，这对高知的空气质量有所贡献。还观察到西侧的阿拉伯海是高知的潜在来源地区。这项研究证明了TrapSA作为一种工具的实用性，可用于获取有关影响颗粒物质量浓度的潜在源区域的信息。还观察到西侧的阿拉伯海是高知的潜在来源地区。这项研究证明了TrapSA作为一种工具的实用性，可用于获取有关影响颗粒物质量浓度的潜在源区域的信息。还观察到西侧的阿拉伯海是高知的潜在来源地区。这项研究证明了TrapSA作为一种工具的实用性，可用于获取有关影响颗粒物质量浓度的潜在源区域的信息。