A5060258089- Vehicle emissions and performance
- Air Quality and Health Impacts
- Air Quality Monitoring and Forecasting
- Atmospheric chemistry and aerosols
- Environmental Impact and Sustainability
- Energy, Environment, and Transportation Policies
- COVID-19 impact on air quality
- Catalytic Processes in Materials Science
- Advanced Combustion Engine Technologies
- Urban Heat Island Mitigation
- Atmospheric and Environmental Gas Dynamics
- Environmental Justice and Health Disparities
- Environmental Policies and Emissions
- Transportation Planning and Optimization
- Wind and Air Flow Studies
- Electrochemical Analysis and Applications
- Oil Palm Production and Sustainability
- Environmental Toxicology and Ecotoxicology
- Metal-Organic Frameworks: Synthesis and Applications
- Transition Metal Oxide Nanomaterials
- Biodiesel Production and Applications
- Pesticide and Herbicide Environmental Studies
- Aviation Industry Analysis and Trends
- Plant Water Relations and Carbon Dynamics
- Traffic Prediction and Management Techniques
State Key Joint Laboratory of Environment Simulation and Pollution Control
2016-2025
Beijing Normal University
2025
Tsinghua University
2016-2025
University of California, Los Angeles
2024
Northeast Agricultural University
2023
China Agricultural University
2022
The pandemic of coronavirus disease 2019 (COVID-19) resulted in a stringent lockdown China to reduce the infection rate. We adopted machine learning technique analyze air quality impacts COVID-19 from January April 2020 for six megacities with different durations. Compared scenario without lockdowns, we estimated that reduced ambient NO2 concentrations by 36-53% during most restrictive periods, which involved Level-1 public health emergency response control actions. Several cities lifted...
Abstract. China is facing the challenge of synergistic reduction air pollutants and CO2 emissions. However, studies on its historical progress future priorities are insufficient. This study compiled China's emission inventory from 2005 to 2021 (ABaCAS-EI v2.0 dataset) based a unified emission-source framework by considering influences activity level, technology evolution, control policies. The characteristics emissions were comprehensively analyzed multiple dimensions such as time, space,...
Ammonia (NH3) plays a vital role in the formation of fine particulate matter (PM2.5). Prior studies have primarily focused on control agricultural NH3 emissions, dominant source anthropogenic emissions. The air quality impact from vehicular which could be particularly important urban areas, has not been adequately evaluated. We developed high-resolution emission inventories for Beijing and Shanghai based detailed link-level traffic profiles conducted atmospheric simulations ambient PM2.5...
Significance We capitalize on large variations of urban air quality during the COVID-19 pandemic and real-time observations traffic, meteorology, pollution in Los Angeles to develop a machine-learning prediction model. Such model can adequately account for nonlinear relationships between emissions, atmospheric chemistry, meteorological factors. Moreover, this enables us identify key drivers air-quality assess effect future traffic-emission controls quality. unambiguously demonstrate that...
Vehicle emissions in China have been decoupled from rapid motorization owing to comprehensive control strategies. China's increasingly ambitious goals for better air quality are calling deep emission mitigation, posing a need develop an up-to-date inventory that can reflect the fast-developing policies on vehicle control. Herein, large-sample measurements were collected update inventory. For instance, ambient temperature correction modules developed depict remarkable regional and seasonal...
Air pollution poses a critical public health threat around many megacities but in an uneven manner. Conventional models are limited to depict the highly spatial- and time-varying patterns of ambient pollutant exposures at community scale for megacities. Here, we developed machine-learning approach that leverages dynamic traffic profiles continuously estimate community-level year-long air concentrations Los Angeles, U.S. We found introduction real-world data significantly improved spatial...
China's advancements in addressing air pollution and reducing CO2 emissions offer valuable lessons for collaborative strategies to achieve diverse environmental objectives. Previous studies have assessed the mutual benefits of climate policies control measures on one another, lacking an integrated assessment synergistic attributed refined measures. Here, we comprehensively used coupled emission inventory response models evaluate synergy degrees various pollutants China during 2013–2021....
From 2013 to 2019, a series of air pollution control actions significantly reduced PM2.5 in China. Control included changes activity levels, structural adjustment (SA) policy, energy and material saving (EMS) end-of-pipe (EOP) several sources, which have not been systematically studied previous studies. Here, we integrate an emission inventory, chemical transport model, health impact assessment scenario analysis quantify the contribution each action across range major sources concentrations...
Promising applications of metal-organic frameworks (MOFs) in various fields have raised concern over their environmental fate and safety upon inevitable discharge into aqueous environments. Currently, no information regarding the transformation processes MOFs is available. Due to presence repetitive π-bond structure semiconductive property, photochemical transformations are an important process that affects performance practical applications. In current study, generation reactive oxygen...
Abstract. On-road ammonia (NH3) emissions play a significant role in fine particulate matter (PM2.5) formation urban areas, posing severe risks for human health. Limited studies have depicted the spatial and temporal variations of on-road NH3 emissions, particular lacking detailed quantification their contributions within densely populated areas. In this study, we established comprehensive vehicular emission model compiled gridded inventory with high (3 km × 3 km) (monthly) resolution...
Real-world heavy-duty diesel trucks (HDTs) were found to emit far more excess nitrogen oxides (NOX) and black carbon (BC) pollutants than regulation limits. It is essential systematically evaluate on-road NOX BC emission levels for mitigating HDT emissions. This study launched 2109 plume chasing campaigns emissions of HDTs across several regions in China from 2017 2020. was that had limited reductions III V, while exhibited high with stricter standard implementation. paper showed previous...
Abstract. During the COVID-19 lockdown, dramatic reduction of anthropogenic emissions provided a unique opportunity to investigate effects reduced activity and primary on atmospheric chemical processes consequent formation secondary pollutants. Here, we utilize comprehensive observations examine response new particle (NPF) changes in cocktail. We find that main clustering process was unaffected by drastically traffic emissions, rate 1.5 nm particles remained unaltered. However, survival...
Abstract. On-road vehicle emissions are a major contributor to significant atmospheric pollution in populous metropolitan areas. We developed an hourly link-level inventory of vehicular pollutants using two land-use machine learning methods based on road traffic monitoring datasets the Beijing–Tianjin–Hebei (BTH) region. The results indicate that random forest (LURF) model is more capable predicting profiles than other models most occasions this study. inventories under three different...
Mitigating climate change necessitates deep decarbonization of the transportation sector. Plug-in hybrid electric vehicles (PHEVs) are widely regarded as a mature transitional technology bridging internal combustion engine (ICEVs) and battery (BEVs). The potential PHEVs is shaped by complex factors such range, usage patterns, power mix, which remain underexplored. This study evaluated life-cycle CO2 reductions from in China 2015 to 2022 estimated future trends through 2030. Results show that...
The advent of large-scale mobile monitoring using fast-response instruments has enabled hyperlocal mapping (≤100 m) traffic-related air pollution (TRAP), with important implications for quality management. However, most related studies have been confined within small areas due to the high cost and labor intensity. This study pioneers a cost-effective TRAP method by incorporating land-use machine learning (LUML). Here, over 4.6 million 1 Hz high-frequency measurements (∼1300 h) were collected...
Abstract. The role of intermediate-volatility and semi-volatile organic compounds (I/SVOCs) in heavy-duty diesel vehicle (HDDV) exhaust remains a significant research gap previous studies, with limited focus on cumulative mileage ambient temperature effects. This study analyzed gaseous particulate I/SVOCs from four in-use HDDVs using thermal desorption two-dimensional gas chromatography–mass spectrometry (TD–GC × GC–MS). total I/SVOC emission factors (EFs) ranged 9 to 406 mg km−1, 79 %–99 %...
Intermediate- and semi-volatile volatility organic compounds (I/SVOCs) are species with effective saturation concentrations range from 103 to 106and 0.1 103μg/m3, roughly the same as C12-C22 C15 C35 n-alkanes. Smog chamber experiments have demonstrated that I/SVOCs exhibit higher SOA yields compared most VOCs, which important class of secondary aerosol (SOA) precursors. On-road diesel trucks likely an source in urban areas.Studies shown vehicle start-up modes significantly influence...
China's civil aviation transportation is expected to become the world’s largest market soon. However, synergistically reducing CO2 and pollutants in presents significant challenges, making it one of most difficult sectors for future emission reductions. To assess environmental impacts growing China, this study aims outline spatial patterns pollutant emissions China by 2035 based on a localized bottom-up analysis, incorporating planned airport infrastructure, projected demand growth...