Source impact and contribution analysis of ambient ozone using multi-modeling approaches over the Pearl River Delta region, China

被引:31
作者
Fang, Tingting [1 ]
Zhu, Yun [1 ,2 ]
Wang, Shuxiao [3 ]
Xing, Jia [3 ]
Zhao, Bin [3 ]
Fan, Shaojia [2 ]
Li, Minhui [4 ]
Yang, Wenwei [1 ]
Chen, Ying [1 ]
Huang, Ruolin [1 ]
机构
[1] South China Univ Technol, Guangzhou Higher Educ Mega Ctr, Guangdong Prov Key Lab Atmospher Environm & Pollu, Coll Environm & Energy, Guangzhou 510006, Peoples R China
[2] Sun Yat Sen Univ, Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 519000, Peoples R China
[3] Tsinghua Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Con, Beijing 100084, Peoples R China
[4] Guangdong Prov Acad Environm Sci, Guangzhou 510006, Peoples R China
关键词
O-3; Air quality model; Response surface modeling; Source impact; Source contribution; DIRECT SENSITIVITY-ANALYSIS; ORDER DECOUPLED DIRECT; FINE PARTICULATE MATTER; SOURCE APPORTIONMENT; TROPOSPHERIC OZONE; NONLINEAR RESPONSE; EMISSION CONTROL; O-3; POLLUTION; SURFACE OZONE; CMAQ;
D O I
10.1016/j.envpol.2021.117860
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Quantification of source impacts and contributions is a key element for the design of effective air pollution control policies. In this study, O-3 source impacts and contributions were comprehensively assessed over the Pearl River Delta (PRD) region of China using brute-force method (BFM), response surface modeling with BFM (RSM-BFM) and differential method (RSM-DM) respectively, high-order decoupled direct method (HDDM), and ozone source apportionment technology (OSAT). The multi-modeling comparison results indicated that under typical nonlinear atmospheric conditions during the O-3 formation, BFM, RSM-BFM, and HDDM seemed to be appropriate for assessing the impact of single source emissions; however, the results of HDDM could deviate from those of BFM when the emission reduction ratio was higher than 50 %. Under multi-source control scenarios, the results of source contribution analyses obtained from RSM-DM and OSAT were reasonably well, but the performance of OSAT was limited by its capability in representing the nonlinearity of O-3 response to emission reductions of its precursors, particularly NOx. The results of this pilot study in the PRD showed that the RSM-DM appeared to replicate the nonlinearity of O-3 chemistry reasonably well (e.g., O-3 disbenefits due to local NOx emission reductions in Guangzhou city). Based on the source contribution results, on-road mobile (including both NO(x )and VOC emissions) and industrial process (mainly VOC emissions) sources were identified as two major contribution sectors by both RSM-DM and OSAT, contributing an average of 31.5 % and 11.4 % (estimated by RSM-DM) and 29.2 % and 13.0 % (estimated by OSAT) respectively to O-3 formation in 9 cities of the PRD. Therefore, the reinforced emission reductions on NOx and VOC from on-road mobile and industrial process sources in the central cities (i.e., Guangzhou, Foshan, Dongguan, Shenzhen, and Zhongshan) were suggested to effectively mitigate the ambient O-3 levels in the PRD.
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页数:13
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