Ke Du

ORCID: 0000-0002-8251-2928
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About
Contact & Profiles
Research Areas
  • Atmospheric chemistry and aerosols
  • Air Quality and Health Impacts
  • Air Quality Monitoring and Forecasting
  • Atmospheric and Environmental Gas Dynamics
  • Atmospheric aerosols and clouds
  • Vehicle emissions and performance
  • Wind and Air Flow Studies
  • Catalytic Processes in Materials Science
  • Catalysis and Oxidation Reactions
  • Atmospheric Ozone and Climate
  • Gas Sensing Nanomaterials and Sensors
  • Impact of Light on Environment and Health
  • Advanced Chemical Sensor Technologies
  • Industrial Gas Emission Control
  • Corrosion Behavior and Inhibition
  • Analytical Chemistry and Sensors
  • Toxic Organic Pollutants Impact
  • Urban Heat Island Mitigation
  • Medical Imaging Techniques and Applications
  • High-Temperature Coating Behaviors
  • Water Quality and Pollution Assessment
  • Soil and Water Nutrient Dynamics
  • Coastal and Marine Management
  • Marine and coastal ecosystems
  • Advanced Measurement and Detection Methods

University of Calgary
2015-2024

Northwest University
2018

Calgary Laboratory Services
2018

Chinese Academy of Sciences
2010-2018

Institute of Urban Environment
2010-2015

Institute of Metal Research
2013

Harbin Engineering University
2012

University of Illinois Urbana-Champaign
2004-2009

University of Illinois System
2006

Nanometer-thick passive films on metals usually impart remarkable resistance to general corrosion but are susceptible localized attack in certain aggressive media, leading material failure with pronounced adverse economic and safety consequences. Over the past decades, several classic theories have been proposed accepted, based hypotheses theoretical models, oftentimes, not sufficiently nor directly corroborated by experimental evidence. Here we show results structure of film formed a...

10.1038/s41467-018-04942-x article EN cc-by Nature Communications 2018-06-26

Thick haze plagued northeastern China in January 2013, strongly affecting both regional climate and human respiratory health. Here, we present dual carbon isotope constrained (Δ14C δ13C) source apportionment for combustion-derived black aerosol (BC) three key hotspot regions (megacities): North Plain (NCP, Beijing), the Yangtze River Delta (YRD, Shanghai), Pearl (PRD, Guangzhou) 2013. BC, here quantified as elemental (EC), is one of most health-detrimental components PM2.5 a strong warming...

10.1021/es503855e article EN Environmental Science & Technology 2015-01-08

The limited understanding of black carbon (BC) aerosol emissions from incomplete combustion causes a poorly constrained anthropogenic climate warming that globally may be second only to CO2 and regionally, such as over East Asia, the dominant driver change. relative contribution atmospheric BC fossil fuel versus biomass is important constrain stronger forcer. source apportionment underpinning for targeted mitigation actions. However, technology-based "bottom-up" emission inventories are...

10.1021/es401599r article EN Environmental Science & Technology 2013-07-11

Abstract. Particle sensing technology has shown great potential for monitoring particulate matter (PM) with very few temporal and spatial restrictions because of its low cost, compact size, easy operation. However, the performance low-cost sensors PM in ambient conditions not been thoroughly evaluated. Monitoring results by are often questionable. In this study, a fine particle monitor (Plantower PMS 5003) was colocated reference instrument, Synchronized Hybrid Ambient Real-time Particulate...

10.5194/amt-13-1693-2020 article EN cc-by Atmospheric measurement techniques 2020-04-07

Understanding the relationship between atmospheric visibility and aerosol emission sources identifying key drivers of have significant implications for radiative forcing aerosol. In this work, we combined positive matrix factorization (PMF) model machine learning (ML) models (the extreme gradient boosting (XGBoost) Shapely additive explanations (SHAP)) to identify improvement based on long-term observations PM2.5 composition in Shenzhen, China. From 2014 2021, annual average levels increased...

10.1021/acs.estlett.3c00084 article EN Environmental Science & Technology Letters 2023-03-29

Abstract Outdoor air pollution, particularly volatile organic compounds (VOCs), significantly contributes to the global health burden. Previous analyses of VOC exposure have typically focused on regional and national scales, thereby limiting burden assessments. In this study, we utilized a chemistry-climate model simulate distributions estimate related cancer risks from 2000 2019. Our findings indicated 10.2% rise in emissions during period, with substantial increases Sub-Saharan Africa,...

10.1038/s41612-024-00598-1 article EN cc-by npj Climate and Atmospheric Science 2024-03-01

Abstract. Organic nitrates are important atmospheric species that significantly affect the cycling of NOx and ozone production. However, characterization particulate organic their sources in polluted atmosphere is a big challenge has not been comprehensively studied Asia. In this study, an aerodyne high-resolution time-of-flight aerosol mass spectrometer (HR-ToF-AMS) was deployed at urban site China from 2015 to 2016 characterize total with high time resolution. Based on cross-validation two...

10.5194/acp-19-5235-2019 article EN cc-by Atmospheric chemistry and physics 2019-04-17

Abstract Despite much recent efforts, the emission sources of black carbon (BC) aerosols―central input to understanding and predicting environmental climate impact―remain highly uncertain. Here we present observational δ 13 C/Δ 14 C‐based constraints on BC aerosols over four seasons in each key hot spot regions China: Beijing‐Tianjin‐Hebei (BTH‐Wuqing; where Wuqing is sampling location), Yangtze River Delta (YRD‐Haining), Pearl (PRD‐Zhongshan), Sichuan Basin (SC‐Deyang). Overall, loadings...

10.1029/2018jd028607 article EN Journal of Geophysical Research Atmospheres 2018-09-29

The study provides an overview of Predictive Emissions Monitoring System's (PEMS) research, application, installation, and regulatory framework as well develops predictive models for NOx emissions from a natural gas fired cogeneration unit using open source machine learning library, Keras, programming languages, Python R. Nine neural network based were trained with 12 086 examples tested 3020 examples. network-based use eight process parameters inputs to predict emissions. All meet the...

10.1109/access.2019.2930555 article EN cc-by IEEE Access 2019-01-01
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