School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou 510275, China; Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Guangzhou 510275, China.
Guangdong Ecological Meteorology Center, Guangzhou 510640, China.
Sci Total Environ. 2017 Oct 15;596-597:194-206. doi: 10.1016/j.scitotenv.2017.03.255. Epub 2017 Apr 19.
Located in the Southern China monsoon region, pollution days in Pearl River Delta (PRD) were classified into "Western type", "Central type" or "Eastern type", with a relative percentage of 67%, 24% and 9%, respectively. Using this classification system, three typical pollution events were selected for numerical simulations using the WRF-Chem model. The source sensitivity method for anthropogenic emissions of PM and its precursors was applied to identify the source-receptor relationships for PM among 9 cities in PRD. For "Western type" case, the PRD region was under control of a high-pressure system with easterly prevailing winds. The PM concentrations in the western PRD region were higher than those in the eastern region, with emissions from cities in the eastern PRD region having higher contributions. Within the PRD's urban cluster, PM in Huizhou, Dongguan and Shenzhen was mainly derived from local emissions, whereas the PM in the other cities was primarily derived from external transport. For "Eastern type" case, the PRD was influenced by Typhoon Soulik with westerly prevailing winds. Emissions from cities in the western PRD region had the highest impacts on the overall PM concentration. PM in Jiangmen and Foshan was primarily derived from local emissions. Regarding "Central type" case, the PRD region was under control of a uniform pressure field with low wind speed. PM concentrations of each city were primarily caused by local emissions. Overall, wind flows played a significant role in the transport and spatial distribution of PM across the PRD region. Ideally, local governments would be wise to establish joint prevention and control measures to reduce regional atmospheric pollution, especially for "Western type" pollution.
位于中国南方季风区的珠江三角洲（PRD），污染天气可分为“西部型”“中部型”和“东部型”，分别占 67%、24%和 9%。采用这种分类系统，利用 WRF-Chem 模式对三个典型污染事件进行了数值模拟。利用人为排放 PM 及其前体物的源敏感性方法，确定了 PRD 9 个城市之间 PM 的源-汇关系。对于“西部型”情况，PRD 地区受高压系统控制，盛行东风。西部 PRD 地区的 PM 浓度高于东部地区，东部 PRD 地区的城市排放对 PM 浓度的贡献更高。在 PRD 城市群内，惠州、东莞和深圳的 PM 主要来自本地排放，而其他城市的 PM 主要来自外部传输。对于“东部型”情况，PRD 受到台风“苏力”的影响，盛行西风。西部 PRD 地区城市的排放对整体 PM 浓度的影响最大。江门和佛山的 PM 主要来自本地排放。对于“中部型”情况，PRD 地区受均压场控制，风速较低。每个城市的 PM 浓度主要是由本地排放造成的。总的来说，风场对 PM 在 PRD 地区的传输和空间分布起着重要作用。理想情况下，地方政府应该明智地建立联合防治措施，以减少区域性大气污染，特别是针对“西部型”污染。
