Emission source-based ozone isopleth and isosurface diagrams and their significance in ozone pollution control strategies

In the past decade,ozone(O_(3))pollution has been continuously worsening in most developing countries.The accurate identification of the nonlinear relationship between O_(3) and its precursors is a prerequisite for formulating effective O_(3) control measures.At present,precursor-based O_(3) isopleth diagrams are widely used to infer O_(3) control strategy at a particular location.However,there is frequently a large gap between the O_(3)-precursor nonlinearity delineated by the O_(3) isopleths and the emission source control measures to reduce O_(3) levels.Consequently,we developed an emission source-based O_(3) isopleth diagram that directly illustrates the O_(3) level changes in response to synergistic control on two types of emission sources using a validated numerical modeling system and the latest regional emission inventory.Isopleths can be further upgraded to isosurfaces when co-control on three types of emission sources is investigated.Using Guangzhou and Foshan as examples,we demonstrate that similar precursor-based O_(3) isopleths can be associated with significantly different emission source co-control strategies.In Guangzhou,controlling solvent use emissions was the most effective approach to reduce peak O_(3) levels.In Foshan,co-control of on-road mobile,solvent use,and fixed combustion sources with a ratio of 3:1:2 or 3:1:3 was best to effectively reduce the peak O_(3) levels below 145 ppbv.This study underscores the importance of using emission source-based O_(3) isopleths and isosurface diagrams to guide a precursor emission control strategy that can effectively reduce the peak O_(3) levels in a particular area.

Identification of close relationship between atmospheric oxidation and ozone formation regimes in a photochemically active region

Understanding ozone(O_(3))formation regime is a prerequisite in formulating an effective O_(3)pollution control strategy.Photochemical indicator is a simple and direct method in identifying O_(3)formation regimes.Most used indicators are derived from observations,whereas the role of atmospheric oxidation is not in consideration,which is the core driver of O_(3)formation.Thus,it may impact accuracy in signaling O_(3)formation regimes.In this study,an advanced three-dimensional numerical modeling system was used to investigate the relationship between atmospheric oxidation and O_(3)formation regimes during a long-lasting O_(3)exceedance event in September 2017 over the Pearl River Delta(PRD)of China.We discovered a clear relationship between atmospheric oxidative capacity and O_(3)formation regime.Over eastern PRD,O_(3)formation was mainly in a NO x-limited regime when HO_(2)/OH ratio was higher than 11,while in a VOC-limited regime when the ratio was lower than 9.5.Over central and western PRD,an HO_(2)/OH ratio higher than 5 and lower than 2 was indicative of NO x-limited and VOC-limited regime,respectively.Physical contribution,including horizontal transport and vertical transport,may pose uncertainties on the indication of O_(3)formation regime by HO_(2)/OH ratio.In comparison with other commonly used photochemical indicators,HO_(2)/OH ratio had the best performance in differentiating O_(3)formation regimes.This study highlighted the necessities in using an atmospheric oxidative capacity-based indicator to infer O_(3)formation regime,and underscored the importance of characterizing behaviors of radicals to gain insight in atmospheric processes leading to O_(3)pollution over a photochemically active region.