Research graph
References from CMAQ-based response modeling of speciated atmospheric mercury concentrations and depositions for efficient source contribution analysis. Local targets link to admitted publications; unresolved targets remain external evidence.
Deposition of mercury in forests along a montane elevation gradient
10.1021/es505928w · 2015 · External reference
Connecting air quality regulating ecosystem services with beneficiaries through quantitative serviceshed analysis
10.1016/j.ecoser.2019.101057 · 2020 · External reference
Atmospheric mercury in a developed region of eastern China: interannual variation and gas-particle partitioning
2023 · External reference
Rapid increase in cement-related mercury emissions and deposition in China during 2005–2015
10.1021/acs.est.0c03512 · 2020 · External reference
Variation trends and influencing factors of total gaseous mercury in the pearl river Delta-A highly industrialised region in South China influenced by seasonal monsoons
10.1016/j.atmosenv.2013.05.053 · 2013 · External reference
Modeling the global atmospheric transport and deposition of mercury to the Great Lakes
2016 · External reference
ERA5 hourly data on pressure levels from 1940 to present
2023 · External reference
Integrating point sources to map anthropogenic atmospheric mercury emissions in China, 1978–2021
10.5194/essd-17-3315-2025 · 2025 · External reference
Urban air quality index forecasting using multivariate convolutional neural network based customized stacked long short-term memory model
10.1016/j.psep.2024.08.076 · 2024 · External reference
Deep air quality forecasting using hybrid deep learning framework
10.1109/tkde.2019.2954510 · 2021 · External reference
Comparison of source apportionment and source sensitivity of ozone in a three-dimensional air quality model
10.1021/es011418f · 2002 · External reference
Combating air pollution significantly reduced air mercury concentrations in China
10.1093/nsr/nwae264 · 2024 · External reference
Litter mercury deposition in the Amazonian rainforest
10.1016/j.envpol.2015.08.010 · 2015 · External reference
Isotopic compositions of atmospheric total gaseous mercury in 10 Chinese cities and implications for land surface emissions
10.5194/acp-21-6721-2021 · 2021 · External reference
Projecting global mercury emissions and deposition under the shared socioeconomic pathways
10.1029/2023ef004231 · 2024 · External reference
Spatial-temporal changes of land-use mercury emissions in China
10.1016/j.ecolind.2022.109430 · 2023 · External reference
Hourly ozone level prediction based on the characterization of its periodic behavior via deep learning
10.1016/j.psep.2023.03.059 · 2023 · External reference
Pattern of atmospheric mercury speciation during episodes of elevated PM2.5 levels in a coastal city in the Yangtze River Delta, China
10.1016/j.envpol.2016.06.073 · 2016 · External reference
Environment: waste production must peak this century
10.1038/502615a · 2013 · External reference
The growing importance of waste-to-energy (WTE) incineration in China's anthropogenic mercury emissions: emission inventories and reduction strategies
10.1016/j.rser.2018.08.026 · 2018 · External reference
Characterizations of wet mercury deposition on a remote high-elevation site in the southeastern Tibetan Plateau
10.1016/j.envpol.2015.07.024 · 2015 · External reference
Impacts of atmospheric Mercury deposition on human multimedia exposure: projection from observations in the Pearl River Delta Region, South China
10.1021/acs.est.6b00514 · 2016 · External reference
On the relevancy of observed ozone increase during COVID-19 lockdown to summertime ozone and PM2.5 control policies in China
10.1021/acs.estlett.1c00036 · 2021 · External reference
Real-time image-based air quality estimation by deep learning neural networks
10.1016/j.jenvman.2022.114560 · 2022 · External reference
Interaction between urban heat island and urban pollution island during summer in Berlin
10.1016/j.scitotenv.2018.04.254 · 2018 · External reference
Elevated mercury wet deposition in the biodiversity hotspot of southwestern China
10.1016/j.envres.2025.121201 · 2025 · External reference
Total gaseous mercury in Pearl River Delta region, China during 2008 winter period
10.1016/j.atmosenv.2010.11.032 · 2011 · External reference
Mass flow, enrichment and potential environmental impacts of mercury in a preheater-precalciner cement plant using multiple mining and industrial wastes
10.1016/j.jenvman.2022.114819 · 2022 · External reference
A method to quantitatively apportion pollutants at high spatial and temporal resolution: the stochastic lagrangian apportionment method (SLAM)
10.1021/es505603v · 2015 · External reference
Spatiotemporal adaptive attention graph convolution network for city-level air quality prediction
2023 · External reference
Source attribution for mercury deposition with an updated atmospheric mercury emission inventory in the pearl river Delta region, China
2018 · External reference
Measure-specific effectiveness of air pollution control on China's Atmospheric mercury concentration and deposition during 2013–2017
10.1021/acs.est.9b02428 · 2019 · External reference
Characterization of atmospheric mercury from mercury-added product manufacturing using passive air samplers
10.1016/j.envpol.2023.122519 · 2023 · External reference
Distribution of mercury in foliage, litter and soil profiles in forests of the Qinling Mountains, China
10.1016/j.envres.2022.113017 · 2022 · External reference
A Lag-FLSTM deep learning network based on bayesian optimization for multi-sequential-variant PM2.5 prediction
10.1016/j.scs.2020.102237 · 2020 · External reference
Unresolved reference
External reference
Seasonal variation of mercury in cloud water at a mountaintop in subtropical Hong Kong: influences of transboundary transport and sea-salt aerosol
10.1016/j.scitotenv.2023.168418 · 2024 · External reference
Quantifying multi-year ozone precursor contributions over the Pearl River Delta Region of China using a deep learning-based response surface model
10.1007/s11783-025-2039-y · 2025 · External reference
Air quality prediction-based big data analytics using hebbian concordance and attention-based long short-term memory
10.1038/s41598-025-09508-8 · 2025 · External reference
Improved mechanistic model of the Atmospheric Redox Chemistry of Mercury
10.1021/acs.est.1c03160 · 2021 · External reference
Temporal variation of gaseous elemental mercury in a northern coastal city in China: monsoon and COVID-19 lockdown effects
10.1016/j.apr.2022.101436 · 2022 · External reference
Measurement report: atmospheric mercury in a coastal city of Southeast China – inter-annual variations and influencing factors
10.5194/acp-22-11187-2022 · 2022 · External reference
Global and regional trends in mercury emissions and concentrations, 2010–2015
10.1016/j.atmosenv.2018.12.031 · 2019 · External reference
Declines of gaseous element mercury concentrations at an urban site in eastern China caused by reductions of anthropogenic emission
10.1016/j.atmosenv.2023.120199 · 2024 · External reference
Speciated atmospheric mercury during haze and non-haze periods in winter at an urban site in Beijing, China: pollution characteristics, sources, and causes analyses
10.1016/j.atmosres.2020.105209 · 2021 · External reference
Sustained high atmospheric Hg level in Beijing during wet seasons suggests that anthropogenic pollution is continuing: identification of potential sources
10.1016/j.envres.2022.113814 · 2022 · External reference
Isotopic compositions reveal distinct roles of in-cloud and below-cloud scavenging in dissolved and particulate mercury in precipitation
10.1016/j.atmosenv.2026.122169 · 2026 · External reference
Investigation of mercury deposition and potential sources at six sites from the Pacific Coast to the Great Basin, USA
10.1016/j.scitotenv.2013.10.071 · 2014 · External reference
Developing a statistical model to explain the observed decline of atmospheric mercury
10.1016/j.atmosenv.2020.117868 · 2020 · External reference
A city-level inventory for atmospheric mercury emissions from coal combustion in China
10.1016/j.atmosenv.2019.117245 · 2020 · External reference
Mimicking atmospheric photochemical modeling with a deep neural network
10.1016/j.atmosres.2021.105919 · 2022 · External reference
Deep learning for prediction of the air quality response to emission changes
10.1021/acs.est.0c02923 · 2020 · External reference
Source contribution analysis of mercury deposition using an enhanced CALPUFF-Hg in the central Pearl River Delta, China
10.1016/j.envpol.2019.04.008 · 2019 · External reference
Gas-particle partitioning of atmospheric reactive mercury and its contribution to particle bound mercury in a coastal city of the Yangtze River Delta, China
10.1016/j.atmosenv.2020.117744 · 2020 · External reference
Development and case study of a new-generation model-VAT for analyzing the boundary conditions influence on atmospheric mercury simulation
10.1007/s11783-018-1010-6 · 2017 · External reference
Temporal variation and potential origins of atmospheric speciated mercury at a remote island in South China Sea based on two-year field measurement data
10.1038/s41598-021-84434-z · 2021 · External reference
Latest observations of total gaseous mercury in a megacity (Lanzhou) in northwest China
10.1016/j.scitotenv.2020.137494 · 2020 · External reference
Improved anthropogenic Mercury emission inventories for China from 1980 to 2020: toward more accurate effectiveness evaluation for the minamata convention
10.1021/acs.est.3c01065 · 2023 · External reference
Global health effects of future atmospheric mercury emissions
10.1038/s41467-021-23391-7 · 2021 · External reference
Soil–atmosphere exchange flux of total gaseous mercury (TGM) at subtropical and temperate forest catchments
10.5194/acp-20-16117-2020 · 2020 · External reference
