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Assessment of Meteorological Impact and Emergency Plan for a Heavy Haze Pollution Episode in a Core City of the North China Plain

机译:华北平原核心城市重霾天气的气象影响评估与应急预案

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The Beijing-Tianjin-Hebei region, characterized by frequent episodes of severe haze pollution during winter, is recognized as one of the key regions requiring air pollution control. To reduce the effects of severe pollution, early warning and emission reduction measures should be executed prior to these haze episodes. In this study, the efficacy of emission reduction procedures during severe pollution episodes was evaluated using the Weather Research and Forecasting model coupled with chemistry (WRF-Chem). To provide feedback and optimize emergency emission reduction plans, a pollution episode that occurred during the period of December 20–26, 2015, which was characterized by a high warning level, long warning period, and integrated pollution process, was selected as a case study to determine the influence of meteorological conditions and the effects of mitigation measures on heavy haze pollution episodes. Adverse meteorological conditions were found to increase PM_(2.5) concentrations by approximately 34% during the pollution episode. Moreover, the largest contributor to the episode was fossil fuel combustion, followed by dust emission and industrial processes; the first two factors play a significant role in most districts in Tianjin, whereas the third more strongly affects the adjoining districts and Binhai District. Emission reduction for industrial sources and domestic combustion more obviously decreases PM_(2.5) concentrations during the pollution dissipation stage than the pollution accumulation stage. Thus, different mitigation measures should be adopted in different districts and during different pollution stages. An approximate decrease of 18.9% in the PM_(2.5) concentration can be achieved when an emergency plan is implemented during the red alert period for heavy haze pollution episodes.
机译:北京-天津-河北地区以冬季经常出现严重的霾污染为特征,被认为是需要控制空气污染的重点地区之一。为了减少严重污染的影响,应在这些霾事件之前执行预警和减排措施。在这项研究中,使用天气研究和预测模型结合化学(WRF-Chem)评估了严重污染事件期间减排程序的有效性。为了提供反馈并优化应急减排计划,我们选择了一个案例,该案例以2015年12月20日至26日发生的污染事件为特征,该事件以高警告级别,长警告周期和综合污染过程为特征确定气象条件的影响和缓解措施对重度霾污染事件的影响。在污染事件期间,不利的气象条件使PM_(2.5)浓度增加了约34%。此外,造成这一事件的最大因素是化石燃料燃烧,其次是粉尘排放和工业过程。前两个因素在天津大部分地区中发挥着重要作用,而第三个因素对毗邻地区和滨海地区的影响更大。与污染积累阶段相比,在污染消散阶段,工业源和家庭燃烧的排放减少显着降低了PM_(2.5)浓度。因此,在不同地区和不同污染阶段应采取不同的缓解措施。当在严重雾霾严重事件的红色预警期间实施紧急计划时,可实现PM_(2.5)浓度大约降低18.9%。

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