Publications by authors named "Momei Qin"

A near-explicit mechanism, the master chemical mechanism (MCMv3.3.1), coupled with the Community Multiscale Air Quality (CMAQ) model (CMAQ-MCM-SOA), was applied to investigate the characteristics of secondary organic aerosol (SOA) during a pollution event in the Yangtze River Delta (YRD) region in summer 2018.

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Article Synopsis
  • Ozone (O) has become a critical air pollutant in China, and understanding its sensitivity to volatile organic compounds (VOCs) and nitrogen oxides (NO) is essential for creating effective pollution control strategies.
  • This study evaluated three methods for determining O sensitivity during a pollution event in Nanjing: a photochemical indicator, sensitivity coefficients from a three-dimensional air quality model, and an observation-based model (OBM).
  • Results showed that while the photochemical indicator and sensitivity coefficients suggested similar patterns in O sensitivity, the OBM's accuracy was affected by data quality, leading to notable differences in the conditions identified, particularly during high pollution periods.
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In recent years, regional compound air pollution events caused by fine particles (PM) and ozone (O) have occurred frequently in economically developed areas of China, in which atmospheric oxidizing capacity (AOC) has played an important role. In this study, the WRF-CMAQ model was used to study the impacts of anthropogenic emission reduction on AOC during the COVID-19 lockdown period. Three representative cities in eastern China (Shijiazhuang, Nanjing, and Guangzhou) were selected for an in-depth analysis to quantify the contribution of meteorology and emissions to the changes in AOC and oxidants and to discuss the impact of AOC changes on the formation of secondary pollutants.

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This study applied a de-weather method based on a machine learning technique to quantify the contribution of meteorology and emission changes to air quality from 2015 to 2021 in four cities in the Yangtze River Delta Region. The results showed that the significant reductions in PM, NO, and SO emissions(57.2%-68.

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The Community Multiscale Air Quality model (CMAQv5.2) was implemented to investigate the sources and sinks of oxygenated volatile organic compounds (OVOCs) during a high O and high PM season in the Yangtze River Delta (YRD) region, based on constraints from observations. The model tends to overpredict non-oxygenated VOCs and underpredict OVOCs, which has been improved with adjusted emissions of all VOCs.

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Particulate nitrate (pNO) is now becoming the principal component of PM during severe winter haze episodes in many cities of China. To gain a comprehensive understanding of the key factors controlling pNO formation and driving its trends, we reviewed the recent pNO modeling studies which mainly focused on the formation mechanism and recent trends of pNO as well as its responses to emission controls in China. The results indicate that although recent chemical transport models (CTMs) can reasonably capture the spatial-temporal variations of pNO, model-observation biases still exist due to large uncertainties in the parameterization of dinitrogen pentoxide (NO) uptake and ammonia (NH) emissions, insufficient heterogeneous reaction mechanism, and the predicted low sulfate concentrations in current CTMs.

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Volatile chemical products (VCPs) are commonly-used consumer and industrial items that are an important source of anthropogenic emissions. Organic compounds from VCPs evaporate on atmospherically relevant time scales and include many species that are secondary organic aerosol (SOA) precursors. However, the chemistry leading to SOA, particularly that of intermediate volatility organic compounds (IVOCs), has not been fully represented in regional-scale models such as the Community Multiscale Air Quality (CMAQ) model, which tend to underpredict SOA concentrations in urban areas.

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The atmospheric oxidizing capacity (AOC), reflecting the self-cleansing capacity of the atmosphere, plays an important role in the chemical evolution of secondary fine particulate matter (PM) and ozone (O). In this work, the AOC and its relationships with PM and O were investigated with a chemical transport model (CTM) in the Yangtze River Delta (YRD) region during the four seasons of 2017. The region-wide average AOC is ~4.

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A regional ozone (O) pollution event occurred in the Yangtze River Delta region during August 17-23, 2020 (except on August 21). This study aims to understand the causes of O pollution during the event using an emission-based model (i.e.

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We investigated the spatial distribution and trend of double high pollution (DHP), in which the daily average concentration of fine particulate matter (PM) was above 75 μg/m and the daily maximum 8-hour average ozone (MDA8 O) concentration was above 160 μg/m, in the Yangtze River Delta (YRD) region during 2015-2019, along with the meteorological and chemical characteristics during DHP and differences compared to high O pollution (HOP) and high PM pollution (HPP). In the YRD, Shanghai had the highest frequency of DHP at 7.6%, while Anhui had the least (2.

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Article Synopsis
  • The Yangtze River Delta (YRD) is a highly developed area in China facing significant air pollution issues, especially regional haze and smog.
  • A study during the EXPLORE-YRD campaign analyzed how emissions from local cities and surrounding areas contribute to fine particulate matter (PM) and ozone (O) pollution across 41 YRD cities.
  • Results show that emissions from nearby cities play a major role in pollution, with recommendations for regional cooperation in emission control, particularly focusing on cities within 184 km for PM and 94 km for O to effectively manage air quality.
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The assessment of premature mortality associated with the dramatic changes in fine particulate matter (PM) and ozone (O) has important scientific significance and provides valuable information for future emission control strategies. Exposure data are particularly vital but may cause great uncertainty in health burden assessments. This study, for the first time, used six methods to generate the concentration data of PM and O in China between 2014 and 2018, and then quantified the changes in premature mortality due to PM and O using the Environmental Benefits Mapping and Analysis Program-Community Edition (BenMAP-CE) model.

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Article Synopsis
  • Prescribed burning (PB) contributes significantly to particulate matter (PM) pollution in the southeastern US, posing health risks as demand for burning increases and regulations on other sources tighten.
  • Researchers in Southwestern Georgia use low-cost sensors to measure PM levels and compare their effectiveness against standard monitoring tools, while also utilizing a chemical transport model (CMAQ) to simulate PB's impact on air quality.
  • Results indicate that low-cost sensors can enhance the detection of PB effects, revealing significant spatial variability in PM concentrations that traditional models and regulatory sites may not capture, ultimately improving public health assessments.
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Consumer, industrial, and commercial product usage is a source of exposure to potentially hazardous chemicals. In addition, cleaning agents, personal care products, coatings, and other volatile chemical products (VCPs), evaporate and react in the atmosphere producing secondary pollutants. Here, we show high air emissions from VCP usage (≥ 14 kg person yr, at least 1.

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During the COVID-19 lockdown period (from January 23 to February 29, 2020), ambient PM concentrations in the Yangtze River Delta (YRD) region were observed to be much lower, while the maximum daily 8 h average (MDA8) O concentrations became much higher compared to those before the lockdown (from January 1 to 22, 2020). Here, we show that emission reduction is the major driving force for the PM change, contributing to a PM decrease by 37% to 55% in the four YRD major cities (i.e.

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We describe simulations using an updated version of the Community Multiscale Air Quality model version 5.3 (CMAQ v5.3) to investigate the contribution of intermediate-volatility organic compounds (IVOCs) to secondary organic aerosol (SOA) formation in southern California during the CalNex study.

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Secondary organic aerosol (SOA) is a significant component of fine particulate matter, and it has increased during past drought periods in the U.S. Here, we use the Community Multiscale Air Quality (CMAQ) model to characterize the complex effects of drought on SOA through a case study comparing a drought period (June 2011) and a wet period (June 2013) over the southeast U.

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Polycyclic aromatic hydrocarbons (PAHs), formed through incomplete combustion process, have adverse health effects. To investigate spatial distribution and sources of PAHs in North China, PAHs with passive sampling in 90 gridded sites during June to September in 2011 were analyzed. The average concentration of the sum of fifteen PAHs in North China is 220±14ng/m(3), with the highest in Shanxi, followed by Shandong and Hebei, and then the Beijing-Tianjin area.

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