College of Transport and Communications, Shanghai Maritime University, Shanghai 201306, China.
College of Transport and Communications, Shanghai Maritime University, Shanghai 201306, China.
Mar Pollut Bull. 2023 Aug;193:115169. doi: 10.1016/j.marpolbul.2023.115169. Epub 2023 Jun 22.
Bohai Bay, as a significant economic bay area in China, has experienced considerable ecological consequences during its rapid economic development. One of the major environmental challenges is the emission of air pollutants from ships, which has had a severe impact on regional air quality and the health of residents. To assess the influence of pollutants on the air quality around the Bohai Bay area, a Weather Research and Forecasting and Community Multiscale Air Quality (WRF-CMAQ) model was established using a 9 km × 9 km high-resolution ship emission gridded inventory from 2018. The WRF-CMAQ model was employed to compare two scenarios: vessel emissions and non-vessel emissions, in order to evaluate the impact of ship emissions. By analyzing the pollutant concentrations in Bohai Bay and the degree of change in pollutant concentration in six cities under these two scenarios, significant differences were observed. Furthermore, a comparison of the hourly concentration contributions of ship emissions between port cities and inland cities within the same region revealed that inland cities were less affected by ship emissions. The main contributing factors to this disparity were identified as wind direction and wind speed.
渤海湾是中国重要的经济湾区，在其快速经济发展过程中经历了相当大的生态后果。其中一个主要的环境挑战是船舶污染物的排放，这对区域空气质量和居民健康造成了严重影响。为了评估污染物对渤海湾地区空气质量的影响，建立了一个使用 2018 年的 9km×9km 高分辨率船舶排放网格化清单的天气研究和预测与社区多尺度空气质量（WRF-CMAQ）模型。WRF-CMAQ 模型用于比较两种情景：船舶排放和非船舶排放，以评估船舶排放的影响。通过分析渤海湾的污染物浓度和这两种情景下六个城市的污染物浓度变化程度，观察到了显著的差异。此外，对同一地区港口城市和内陆城市的船舶排放每小时浓度贡献的比较表明，内陆城市受船舶排放的影响较小。造成这种差异的主要因素是风向和风速。
