Publications by authors named "FuMo Yang"

Article Synopsis
  • * A machine learning model incorporating chemical mechanisms was developed to analyze two years of urban observations, helping to assess different contributions to HONO and infer important kinetic parameters.
  • * The study found that during summer, photolysis of nitric acid on surfaces is the major daytime source of HONO, highlighting the effectiveness of machine learning in understanding atmospheric chemistry.
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To mitigate the societal impact of the COVID-19 pandemic, China implemented long-term restrictive measures. The sudden liberalization at the end of 2022 disrupted residents' daily routines, making it scientifically intriguing to explore its effect on air quality. Taking Chongqing City in Southwest China as an example, we examined the impact of restriction liberalization on air quality, identified potential sources of pollutants, simulated the effects of abrupt anthropogenic control relaxation using a Random Forest Model, and applied an optimized model to predict the post-liberalization pollutant concentrations.

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Top-down estimates of fossil fuel CO (FFCO) emissions are crucial for tracking emissions and evaluating mitigation strategies. However, their practical application is hindered by limited data coverage and overreliance on NOx-to-CO emission ratios from emission inventories. We developed the Machine Learning-Driven Mapping Satellite-based XCO (ML-MSXE) model using the column-averaged dry-air mole fraction of CO enhancement (XCO) derived from OCO-2 and OCO-3 measurements to reconstruct the XCO distribution for monitoring FFCO emissions.

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Article Synopsis
  • The study focuses on the health impacts of heavy metals found in particulate matter (PM) in Kaifeng, China, particularly during winter, highlighting significant pollution levels of arsenic (As) and chromium (Cr).
  • Analysis revealed that while the overall non-carcinogenic health risk was low (HQ < 1), As and Cr presented substantial carcinogenic risks for both children and adults, necessitating serious concern.
  • The research identified industrial emissions and biomass combustion as major sources of these heavy metals, with industrial risks increasing significantly during the heating period, emphasizing the need for strategies to reduce air pollution and associated health risks.
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Air quality models (AQMs) are pivotal in forecasting air quality and shaping pollution control strategies. Nonetheless, the effectiveness of AQMs is often compromised in many cities due to the absence of accurate local emission inventories. To address this gap, this study presents a novel AQM-ready emission inventory generation technique with iterative optimization ability for city-scale applications in China.

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Emissions of nitrogen oxides (NOx) are a dominant contributor to ambient nitrogen dioxide (NO) concentrations, but the quantitative relationship between them at an intracity scale remains elusive. The Chengdu 2021 FISU World University Games (July 22 to August 10, 2023) was the first world-class multisport event in China after the COVID-19 pandemic which led to a substantial decline in NOx emissions in Chengdu. This study evaluated the impact of variations in NOx emissions on NO concentrations at a fine spatiotemporal scale by leveraging this event-driven experiment.

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The 31st FISU Summer World University Games (SWUG) was held in Chengdu, southwestern China, from July 22 to August 8, 2023. A series of control measures were carried out to ensure good air quality during the SWUG, providing an opportunity to investigate the atmospheric behaviors of light-absorbing aerosols under such a substantial disturbance caused by the control measures. To assess the impacts of emission controls on primary pollutants, a field campaign was conducted at a rural site in Chengdu to investigate the characterization of equivalent black carbon (eBC).

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Severe air pollution tends to occur under stagnant weather conditions. This study focused on the occurrence and formation of PM-bound polycyclic aromatic compounds (PACs) under stagnant weather conditions, in consideration of their adverse human health effect and ecological toxicity. The concentrations of PACs were higher under stagnant weather conditions than in other situations with averaged values of 46.

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The complex air pollution driven by both Ozone (O) and fine particulate matter (PM) significantly influences the air quality in the Sichuan Basin (SCB). Understanding the O formation during autumn and winter is necessary to understand the atmospheric oxidative capacity. Therefore, continuous in-site field observations were carried out during the late summer, early autumn and winter of 2020 in a rural area of Chongqing.

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Surface NO pollution can result in serious health consequences such as cardiovascular disease, asthma, and premature mortality. Due to the extensive spatial variation in surface NO, the spatial resolution of a NO dataset has a significant impact on the exposure and health impact assessment. There is currently no long-term, high-resolution, and publicly available NO dataset for China.

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Carbonaceous aerosols play a vital role in global climate patterns due to their potent light absorption capabilities. However, the light absorption enhancement effect (E) of black carbon (BC) is still subject to great uncertainties due to factors such as the mixing state, coating material, and particle size distribution. In this study, fine particulate matter (PM) samples were collected in Chengdu, a megacity in the Sichuan Basin, during the winter of 2020 and 2021.

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To investigate the characteristics, source apportionment, and potential source areas of carbonaceous aerosols in Chongqing during winter, PM samples were collected from January 2021 to February 2021 in the urban areas of Wanzhou (WZ), Yubei (YB), and Shuangqiao (SQ). The results showed that the average mass concentrations of PM, OC, and EC in SQ were (72.6 ±33.

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Forty-six percent of the world's population resides in rural areas, the majority of whom belong to vulnerable groups. They mainly use cheap solid fuels for cooking and heating, which release a large amount of PM and cause adverse effects to human health. PM exhibits urban-rural differences in its health risk to the respiratory system.

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The chemical composition of acid rain and its impact on lake water chemistry in Chongqing, China, from 2000 to 2020 were studied in this study. The regional acid rain intensity is affected jointly by the acid gas emissions and the neutralization of alkaline substances. The pH of precipitation experienced three stages of fluctuating decline, continuous improvement, and a slight correction.

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The ozone (O) pollution in China drew lots of attention in recent years, and the Sichuan Basin (SCB) was one of the regions confronting worsening O pollution problem. Many previous studies have shown that regional transport is an important contributor to O pollution. However, very few features of the O profile during transport have been reported, especially in the border regions between different administrative divisions.

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Terrain effect is challenging for understanding atmospheric environment changes under complex topography. This study targets the Sichuan Basin (SCB), a deep basin isolated by plateaus and mountains in Southwest China, by employing WRF-Chem with integrated process rates (IPR) analysis to characterize the terrain-driven seasonal variations of tropospheric ozone (O) with atmospheric physical and chemical processes. Results show that the basin terrain exerts reversed impacts on regional air quality changes by aggravating summertime and alleviating wintertime near-surface O with the relative contributions oscillating seasonally between -40% and 40% in SCB.

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Remote sensing data from the Ozone Monitoring Instrument (OMI) and the TROPOspheric Monitoring Instrument (TROPOMI) play important roles in estimating surface nitrogen dioxide (NO), but few studies have compared their differences for application in surface NO reconstruction. This study aims to explore the effectiveness of incorporating the tropospheric NO vertical column density (VCD) from OMI and TROPOMI (hereafter referred to as OMI and TROPOMI, respectively, for conciseness) for deriving surface NO and to apply the resulting data to revisit the spatiotemporal variations in surface NO for Beijing over the 2005-2020 period during which there were significant reductions in nitrogen oxide emissions. In the OMI versus TROPOMI performance comparison, the cross-validation R values were 0.

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Nitrous acid (HONO) is an established precursor of hydroxyl (OH) radical and has significant impacts on the formation of PM and O. Despite extensive research on HONO observation in recent years, knowledge regarding its sources and sinks in urban areas remains inadequate. In this study, we monitored the atmospheric concentrations of HONO and related pollutants, including gaseous nitric acid and particulate nitrate, simultaneously at a supersite in downtown Chengdu, a megacity in southwestern China during spring, when was chosen due to its tolerance for both PM and O pollution.

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Volatile organic compounds (VOCs) are significant precursors to photochemical pollution. However, reactive VOC species are easily oxidized during transportation, resulting in a systematic underestimate of the measured concentrations. To address this, we applied an improved calculation method to correct the measured VOC concentrations into photochemical initial concentrations (PICs) in Chengdu, a megacity in the Sichuan Basin, China, which is highly vulnerable to complex pollution.

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Air pollutants suspended in the atmosphere have a large impact on air quality, climate, and human health. As one of the important populated and industrialized regions in China, the Sichuan Basin (SCB) has confronted severe air pollution in recent years. Previous studies have shown that regional transport played a significant role in the formation of regional pollution in the SCB, particularly in the southern basin.

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Maternal PM exposure has been identified as a potential risk factor for preterm birth, yet the inconsistent findings on the susceptible exposure windows may be partially due to the influence of gaseous pollutants. This study aims to examine the association between PM exposure and preterm birth during different susceptible exposure windows after adjusting for exposure to gaseous pollutants. We collected 2,294,188 records of singleton live births from 30 provinces of China from 2013 to 2019, and the gridded daily concentrations of air pollutants (including PM, O, NO, SO, and CO) were derived by using machine learning models for assessing individual exposure.

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Article Synopsis
  • PM (particulate matter) poses a serious risk to human health, primarily due to its mutagenic effects that can lead to DNA mutations, but current testing methods are limited in identifying mutation sites on a large scale.
  • The study examines PM from different seasons and locations in the Chengdu-Chongqing Economic Circle, finding that specific PM samples induce varying levels of mutations, with winter samples showing the strongest impact on mutation types.
  • Results indicate that certain ethnic groups, especially the Chinese Dai from Xishuangbanna, are more susceptible to the mutagenic effects of PM, highlighting the need for targeted public health policies to protect these vulnerable populations.
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In recent years, the annual mean concentration of PM has decreased in Chengdu, China; however, atmospheric visibility has not improved accordingly. Low-visibility events occurred even when the PM mass concentrations were below the national ambient air quality secondary standard (daily mean concentration, 75 μg/m). In this study, the non-linear relationship between PM and visibility was analyzed under different NO mass fractions in PM based on 2-year field observation data.

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Nowadays, the fine particle pollution is still severe in some megacities of China, especially in the Sichuan Basin, southwestern China. In order to understand the causes, sources, and impacts of fine particles, we collected PM samples and analyzed their chemical composition in typical months from July 2018 to May 2019 at an urban and a suburban (background) site of Chengdu, a megacity in this region. The daily average concentrations of PM ranged from 5.

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To study the emission characteristics of typical construction machinery in Chengdu, 12 construction machinery (excavators, bulldozers, loaders, and forklifts) under idling mode, moving mode, and working mode, were tested using a portable emission measurement system (PEMS). Under three operating modes, the typical construction machinery in the working mode was higher in the fuel-based average emission factors of PM and NO while the fuel-based average emission factors of HC and CO were higher in idling mode. Integrated the results of investigation on ownership and activity levels of construction machinery, an exhaust emission inventory of typical construction machinery of Chengdu in 2018 was established according to the recommendation method.

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