publications

Publications

Journal papers

Selected Peer-reviewed papers (*: corresponding author)

2024

  1. Si, M., Wiens, B., and Du, K.* (2024) Long-term evaluation of machine learning based methods for air emission monitoring, Environmental Management, DOI: 10.1007/s00267-024-02057-2. (link)
  2. Chen, Z., Zhou, J., Zhuge, X., Wang, Y., and Du, K. (2024) Mn-Ce solid solution growth on Mn2O3 surface to form heterostructure catalysts with multiple active sites for toluene degradation, Separation and Purification Technology, 354, 129386. (link)
  3. Xiong, Y., Du, K., and Huang, Y. (2024) One-third of global population at cancer risk due to elevated volatile organic compounds levels, npj Climate and Atmospheric Science, 7, 54. (link)
  4. Chen, Z., Zhou, J., Zhuge, X., Xie, Z., and Du, K. (2024) Enhanced oxygen mobility of Mn-Ce solid solution catalysts for polysaccharide-assisted catalytic oxidation of toluene, Surfaces and Interfaces, 46, 103993. (link)

2023

  1. Liu, Y., Li, S., Meng, S., Xiao, S., Song, H., and Du, K.* (2023) Defects-enriched two-dimensional ultrathin g-C3N4/In2O3 nanoparticles for effective NO2 detection at room temperature, Sensors and Actuators B: Chemical, 396, 134558. (link)
  2. Li, Z., He, L., Ma, H., Peng, X., Tang, M., Du, K., and Huang, X. (2023) Sources of atmospheric oxygenated volatile organic compounds in different air masses in Shenzhen, China, Environmental Pollution, 340, 122871. (link)
  3. Zhuge, X., Zhou, J., Chen, Z., Liu, S., and Du, K. (2023) Morphologically controllable spinel catalysts CuCo2O4 for boosting catalytic oxidation of toluene, Colloids and Surfaces A: Physicochemical and Engineering Aspects, 677, Part A, 132340. (link)
  4. Zhuge, X., Zhou, J., Chen, Z., Liu, S., and Du, K. (2023) Efficient spinel nanoparticle catalysts ACo2O4(A= Cu, Ni, Mn) for catalytic oxidation of toluene: cation substitution effects, Catalysis Letters, DOI: 10.1007/s10562-023-04460-6. (link)
  5. Chen, Z., Zhou, J., Zhuge, X., Xie, Z., and Du, K. (2023) Catalytic oxidation of toluene over highly dispersed Mn-Ce solid solutions synthesized with weakly acidic precursors, Process Safety and Environmental Protection, 179, 208-227. (link)
  6. Peng, Y., Cao, L., Wei, J., Cheng, Y., Yu, K., Du, K., and Huang, X. (2023) Key drivers to heterogeneity evolution of black carbon-containing particles in real atmosphere, Science of the Total Environment, 897, 1666394. (link)
  7. Fang, W., Andesson, A., Lee, M., Zheng, M., Du, K., Kim, S-W, Holmstrand, H., and Gustafsson,  Ö. (2023) Combined influences of sources and atmospheric bleaching on light absorption of water-soluble brown carbon aerosols, npj Climate and Atmospheric Science, 6, 104. (link)
  8. Peng, X., Xie, T., Tang, M., Cheng, Y., Peng, Y., Wei, F., Cao, L, Yu, K., Du, K., He, L., and Huang, X. (2023) Critical Role of Secondary Organic Aerosol in Urban Atmospheric Visibility Improvement Identified by Machine Learning, Environmental Science & Technology Letters, DOI: 10.1021/acs.estlett.3c00084.(link)
  9. Wang, Y., Ju, Q., Xing, Z.*, Zhao, J., Guo, S., Li, F., and Du, K.* (2023) Observation of black carbon in Northern China in winter of 2018–2020 and its implications for black carbon mitigation, Science of the Total Environment, 877, 162897. (link)
  10. Li, S., Liu, Y., Du, K.* (2023) Quantifying Emissions from Fugitive Area Sources Using a Hybrid Method of Multi-Path Optical Remote Sensing and Tomographic Inverse-Dispersion Techniques, Remote Sensing, 15, 4, 1043. (link)
  11. Tang, M., Huang, X.*, Yao, P., Wang, R., Li, Z., Liang, C., Peng, X., Cao, L., Du, K.*, Yu, K., Guo, S. (2023) How much urban air quality is affected by local emissions: A unique case study from a megacity in the Pearl River Delta, China, Atmospheric Environment, 299, 119666. (link)
  12. Zhu, B., Cao, L., Xia, S., Niu, Y., Man, H., Du, K., Yu, K., and Huang, X. (2023) Identifying the airport as a key urban VOC source in the Pearl River Delta, China, Atmospheric Environment, 301, 119721. (link)

2022

  1. Xiong, Y., Huang, Y.*, Du, K.* (2022) Health risk-oriented source apportionment of hazardous volatile organic compounds in eight Canadian cities and implication for prioritizing mitigation strategies, Environmental Science & Technology, 56, 17, 12077-12085. (link)
  2. Liu, S, Zhou, J.*, Liu, X., Liu, D., and Du, K.* (2022) Efficient NTP-catalytic removal of toluene over Mn-M (M = Cu Co Ce Sm) / ZSM-5 and adsorption simulation with Y-type ZSM-5 model, Journal of Environmental Chemical Engineering, 10, 6, 108540. (link)
  3. Liu, S, Zhou, J.*, Liu, D., and Du, K (2022) Mn/ZSM-5 catalyst with enriched oxygen vacancies for NTP mineralization of VOCs and DFT simulation using a novel Y-type ZSM-5 model, Catalysts, 12, 8, 906. (link)
  4. Hu, J., Zhou, J.*, Zhang, T., Liu, S., and Du, K.* (2022) Characterization and performance of SmxA1-xMnO3 (A=Ce, Sr, Ca) perovskite for efficient catalytic oxidation of toluene, Korean Journal of Chemical Engineering, 39, 11, 3032-3038. (link)
  5. Liu, Y., Li, S., Xiao, S., and Du, K.* (2022) Down to ppb level NO2 detection by vertically MoS2 nanoflakes grown on In2O3 microtubes at room temperature, Colloids and Surfaces A: Physicochemical and Engineering Aspects, 648, 129435. (link)
  6. Liu, Y., Li, S., Xiao, S., and Du, K.* (2022) In2O3 microtubes decorated with Ag nanoparticles for NO2 gas detection at room temperature, Vacuum. 202, 111197. (link)
  7. Li, S., Xing, Z., and Du, K.* (2022) Evaluation of a Gaussian dispersion transformation technique for tomographic mapping of concentration field of atmospheric chemicals using multi-path optical remote sensing, Applied Optics, 61, 15, 4449-4457. (link)
  8. Aosaf, M., Wang, Y., and Du, K*(2022) Comparison of the Emission Factors of Air Pollutants from Gasoline, CNG, LPG and Diesel Fueled Vehicles at Idle Speed, Environmental Pollution, 305, 119296. (link)
  9. Wang, Y., Xing, Z., Zhang, H., Wang, Y., and Du, K*(2022) On-road mileage-based emission factors of gaseous pollutants from bi-fuel taxi fleets in China: the influence of fuel type, vehicle speed, and accumulated mileage, Science of the Total Environment, 819, 151999. (link)

2021

  1. Li, S. and  Du, K.* (2021) A minimum curvature algorithm for tomographic reconstruction of atmospheric chemicals based on optical remote sensing, Atmospheric Measurement Techniques, 14, 11, 7355-7368. (link)
  2. Si, M., Bai, L., and Du, K.* (2021) Fuel Consumption Analysis and Cap and Trade System Evaluation for Canadian In Situ Oil Sands Extraction, Renewable & Sustainable Energy Reviews, 146, 111145. (link)
  3. Liu, Y., Xiao, S., and Du, K.* (2021) Chemiresistive gas sensors based on hollow heterojunction: a review, Advanced Materials Interfaces, 12, 8, 2002122. (link)
  4. Si, M., Bai, L., and Du, K.* (2021) Discovering energy consumption patterns with unsupervised machine learning for Canadian in situ oil sands operations, Sustainability, 13, 4, 1968. (link)
  5. Xiong, Y., Zhou, J., Xing, Z., and Du, K.* (2021) Cancer risk assessment for exposure to hazardous volatile organic compounds in Calgary, Canada, Chemosphere, 272, 29650. (link)

2020

  1. Xing, Z., Li, S., Xiong, Y., and Du, K.* (2020) Estimation of cross-boundary aerosol flux over the Edmonton-Calgary corridor in Canada based on CALIPSO and MERRA-2 data during 2011~2017, Atmospheric Environment, 246, 18084. (link)
  2. Xiong, Y., Zhou, J., Xing, Z., and Du, K.* (2020) Optimization of a volatile organic compound control strategy in an oil industry center in Canada by evaluating ozone and secondary organic aerosol formation potential, Environmental Research, 191, 110217. (link)
  3. Si, M. and Du, K.* (2020) Development of a Predictive Emissions Model using a Gradient Boosting Machine Learning Method, Environmental Technology & Innovation, 20, 101028. (link)
  4. Si, M., Xiong, Y., Du, S., Du, K.* (2020) Evaluation and calibration of a low-cost particle sensor in ambient conditions using machine learning technologies, Atmospheric Measurement Techniques, 13, 1693-1707. (link)
  5. Xiong, Y. and Du, K.* (2020) Source-resolved attribution of ground-level ozone formation potential from VOC emissions in metropolitan Vancouver, BC, Science of the Total Environment, 721, 137698. (link)
  6. Cui, J., Zhang, Y., Yang, F., Chang, Y., Du, K., Chan, A., Yao, D. (2020) Seasonal fluxes and sources apportionment of dissolved inorganic nitrogen wet deposition at different land-use sites in the Three Gorges Reservoir area, Ecotoxicology and Environmental Safety, 193, 110344. (link)
  7. Li, S. and Du, K.* (2020) Comparisons of forward-in-time and backward-in-time Lagrangian stochastic dispersion models for micro-scale atmospheric dispersion, Journal of the Air & Waste Management Association, 70, 4, 425-435. (link)
  8. Huang, X., Dai, J., Zhu, Q., Yu, K., and Du, K. (2020) Abundant biogenic oxygenated organic aerosol in atmospheric coarse particles: plausible sources and atmospheric implications, Environmental Science & Technology, 54, 3,1425-1430 (link)
  9. Xing, Z., Xiong, Y., and Du, K.* (2020) Source apportionment of airborne particulate matters over the Athabasca oil sands region: inter-comparison between PMF modeling and ground-based remote sensing, Atmospheric Environment, 221, 117103. (link)
  10. Xiong, Y., Bari, M. A., Xing, Z., and Du, K.* (2020) Ambient volatile organic compounds (VOCs) in two coastal cities in western Canada: spatiotemporal variation, source apportionment, and health risk assessment, Science of the Total Environment, 706, 135970. (link)

2019

  1. Si, M., Tarnoczi, T. J., Wiens, B., and Du, K.* (2019) Development of predictive emissions monitoring system using open source machine learning library – Keras: A case study on a cogeneration unit, IEEE Access, 7, 1, 113463-113475. (link)
  2. Yu, K., Zhu, Q., Du, K., and Huang, X. (2019) Characterization of nighttime formation of particulate organic nitrates based on high-resolution aerosol mass spectrometry in an urban atmosphere in China, Atmospheric Chemistry and Physics, 19, 5235-5249. (link)
  3. Peng, Y., Cui, J., Zhu, H., Cao, Y., Du, K., Yao, D., and Chan, A. (2019) Long-term spatiotemporal variations of atmospheric sulfur, nitrogen and particle pollutants in Chongqing, southwest China: Implication of industrial transfer, Environmental Science and Pollution Research, 26, 8, 8098-8110. (link)

2018

  1. Fang, W., Du, K., Andersson, A., Xing, Z., Cho, C., Kim, S-W, Deng, J., and Gustafsson, Ö. (2018) Dual-isotope constraints on seasonally-resolved source fingerprinting of Black Carbon aerosols in sites of the four emission hotspot regions of China, Journal of Geophysical Research Atmosphere, 123, 11, 735-11,747. (link)
  2. Prakash, N., Ramachandran, A., Varma, R., Chen, J., Mazzoleni, C., and Du, K.* (2018) Near-infrared incoherent broadband cavity enhanced absorption spectroscopy (NIR-IBBCEAS) for detection and quantification of natural gas components, Analyst, 143, 3284-3291. (link)
  3. Cui, J., Zhang, L., Zhou, F., Gao, M., Zhang, L., Du, K., Leng, Q., Zhang, Y., He, D., Yang, F., and Chan, A. (2018) A comparison of various approaches used in source apportionments for precipitation nitrogen in a mountain region of southwest China, Environmental Pollution, 241, 810-820. (link)
  4. Yu, K., Xing, Z., Huang, X.*, Deng, J., Andersson, A.,, Fang, W., Gustafsson, Ö., Zhou, J., and Du, K.* (2018) Characterizing and Sourcing Ambient PM2.5 over Key Emission Regions in China III: Carbon Isotope Based Source Apportionment of Black Carbon, Atmospheric Environment,  177, 12-17. (link)
  5. Leng, Q., Cui, J., Zhou, F., Du, K., Zhang, L., Fu, C., Liu, Y., Wang, H., Shi, G., Gao, M., Yang, F., He, D. (2018) Wet-only deposition of atmospheric inorganic nitrogen and associated isotopic characteristics in a typical mountain area, southwestern China, Science of the Total Environment, 616, 55-63. (link)

2017

  1. Xing, Z. and Du, K.* (2017) Particulate matter emissions over the oil sands regions in Alberta, Canada, Environmental Reviews, 25, 4, 432-443. (link)
  2. Zhou, J., Xiong, Y., Xing, Z., Deng, J., and Du, K.* (2017) Characterizing and sourcing ambient PM2.5 over key emission regions in China II: Organic molecular markers and CMB modeling, Atmospheric Environment, 163, 57-64. (link)
  3. Esteki, K., Prakash, N., Li, Y., Mu, C., and Du, K.* (2017) Seasonal variation of CO2 vertical distribution in the atmospheric boundary layer and impact of meteorological parameters, International Journal of Environmental Research, 11, 5-6, 707-721. (link)
  4. Fang, W., Andersson, A., Zheng, M., Lee, M., Holmstrand, H., Kim, S-W, Du, K., and Gustafsson, Ö. (2017) Divergent evolution of carbonaceous aerosols during dispersal of East Asian haze, Scientific Reports, 7, 10422. (link)
  5. Yuen, W., Ma, Q., Koloutsou-Vakakis, S., Du, K., and Rood, M.J. (2017) Lidar equation inversion methods and uncertainties in measuring fugitive particulate matter emission factors, Applied Optics, 56, 27, 7691-7701. (link)
  6. Peng, Y., Zhou, F., Cui, J., Du, K., Leng, Q., Yang, F., Chan, A., Zhao, H. (2017) Impact of socioeconomic and meteorological factors on reservoirs’ air quality: a case in the Three Gorges Reservoir of Chongqing (TGRC), China over a 10-year period, Environmental Science and Pollution Research, 24, 19, 16206-16219. (link)
  7. Yuen, W., Gu, Y., Mao, Y., Koloutsou-Vakakis, S., Rood, M. J., Son, H-K, Mattison, K., Franek, B., Du, K. (2017) Performance  and uncertainty in measuring atmospheric plume opacity using compact and smartphone digital still cameras, Aerosol and Air Quality Research, 17, 5, 1281-1293. (link)

2016

  1. Wang, Y., Xing, Z., Xu, H., Du, K.* (2016) Emission factors of air pollutants from CNG-gasoline bi-fuel vehicles: Part I. Black carbon, Science of the Total Environment, 572, 1161-1165. (link)
  2. Huang, X., Wang, Y., Xing, Z., and Du, K.* (2016) Emission factors of air pollutants from CNG-gasoline bi-fuel vehicles: Part II. CO, HC and NOx, Science of the Total Environment, 565, 698-705. (link)
  3. Zhou, J., Xing, Z., Deng, J., and Du, K.* (2016) Characterizing and sourcing ambient PM2.5 over key emission regions in China I: Water-soluble ions and carbonaceous fractions, Atmospheric Environment, 135, 20-30. (link)
  4. Wang, Y., Xing, Z., Zhao, S., Zheng, M., Mu, C., Du, K.* (2016) Are emissions of black carbon from gasoline vehicles overestimated? Real-time, in situ measurement of black carbon emission factors, Science of the Total Environment, 547, 422-428. (link)

2015

  1. Yuen, W., Du, K., Koloutsou-Vakakis, S., Rood, M. J., Kim, B. J., Kemme, M. R., Hashmonay, R., A., and Meister, C. (2015) Fugitive particulate matter emissions to the atmosphere from tracked and wheeled vehicles in a desert region by hybrid-optical remote sensing, Aerosol and Air Quality Research, 15, 4, 1613-1626 (link)
  2. Andersson, A.*, Deng, J., Du, K.*, Zheng, M., Yan, C., Sköld, M., and Gustafsson, Ö. (2015) Regionally-varying combustion sources of the January 2013 severe haze events over China, Environmental Science & Technology, 49, 4, 2038-2043. (link)
  3. Zhao, S., Chen, L.*, Li, Y., Xing, Z., Du, K.*  (2015) Summertime spatial variations in atmospheric particulate matter and its chemical components in different functional areas of Xiamen, China, Atmosphere, 6, 3, 234-254. (link). 

2014

  1. Xing, Z., Deng, J., Mu, C., Wang, Y., and Du, K.* (2014) Seasonal variation of mass absorption efficiency of elemental carbon in the four major emission areas in China, Aerosol and Air Quality Research, 14, 1897-1905. (link)
  2. Li, Y., Deng, J., Mu,C., Xing, Z., and Du, K.* (2014) Vertical distribution of CO2 in the atmospheric boundary layer: characteristics and impact of meteorological variables, Atmospheric Environment, 91, 110-117. (link)
  3. Deng, J., Xing, Z., Zhuang, B.,  and Du, K.* (2014) Comparative study on long-term visibility trend and its affecting factors on both sides of the Taiwan Strait, Atmospheric Research, 143, 266-278. (link)
  4. Shi, P., Xie, PH, Qin, M., Si, FQ, Dou, K., and Du, K.* (2014) Cluster analysis for daily patterns of SO2 and NO2 measured by the DOAS system, Aerosol and Air Quality Research, 14, 1455-1465. (link)
  5. Li, Y., Xing, Z., Mu, C., and Du, K.* (2014) The spatial and temporal variation of near surface atmospheric CO2 with mobile measurements in autumn and spring in Xiamen, China, Environmental Science, 35, 5, 1671-1679. (in Chinese) (link)

2013

  1. Deng, J., Du, K.*, Wang, W., and Rood, M. J.* (2013) Closure study on measured and modeled optical properties for dry and hydrated laboratory inorganic aerosols with mixtures of dicarboxylic acids, Atmospheric Environment, 81, 177-187. (link)
  2. Du, K.*, Wang, K., Shi, P., and Wang, Y. (2013) Quantification of atmospheric visibility with dual digital cameras during daytime and nighttime, Atmospheric Measurement Techniques, 6, 2121-2130. (link)
  3. Chen, B., Andersson, A., Lee, M., Kirillova, E. N., Xiao, Q., Kruså, M., Shi, M., Lu, Z., Streets, D. G., Du, K.*, and Gustafsson, Ö.* (2013) Source forensics of black carbon aerosols from China, Environmental Science & Technology, 47, 16, 9102-9108. (link)
  4. Du, K.*, Shi, P., Rood, M. J., Wang, K., Wang, Y., and Varma, R. (2013) Digital optical method to quantify the visual opacity of fugitive plumes, Atmospheric Environment, 77, 983-989. (link)
  5. Du, K., Mu, C., Deng, J.*, and Yuan, F. (2013) Study on atmospheric visibility variations and the impacts of meteorological parameters using high temporal resolution data: An application of environmental internet of things in China, International Journal of Sustainable Development and World Ecology, 20, 3, 238-247. (link)
  6. Li, TC, Wu, CY, Chen, WH, Yuan, CS, Wu, SP, Wang, XH, and Du, K. (2013) Diurnal variation and chemical characteristics of atmospheric aerosol particles and their source fingerprints at Xiamen Bay, Aerosol and Air Quality Research, 13, 596-607. (link)
  7. Wang, Y., Liu, S., Shi, P., Li, Y., Mu, C., and Du, K.*(2013) Temporal variation of mass absorption efficiency of black carbon at urban and suburban locations, Aerosol and Air Quality Research, 13, 275-286. (link)
  8. Li, Y., Mu, C., Deng, J., Zhao, S., and Du, K.*(2013) Near surface atmospheric CO2 variations in autumn at suburban Xiamen, China, Environmental Science, 34, 5, 381-387. (in Chinese) (link)
  9. Shi, P., Du, K.*, Mu, C., Wang, K., and Wang, Y. (2013) Measurement of fugitive dust mass emissions from construction activities using scanning lidar system, Acta Optica Sinica, 33, 3, 32-38. (in Chinese)

2012

  1. Deng, J., Du, K.*, Wang, K., and Yuan, C-S* (2012) Long-term atmospheric visibility trend in Southeast China, 1973-2010, Atmospheric Environment, 59, 11-21. (link)
  2. Chen, B., Du, K.*, Wang, Y., et al. (2012) Emission and transport of carbonaceous aerosols in urbanized coastal areas in China, Aerosol and Air Quality Research, 12., 3, 371-378. (link)
  3. Xu, L., Chen, X., Chen, J.*, Zhang, F., Du, K.*, and Wang, Y. (2012) Characterization of PM10 atmospheric aerosol at urban and urban background sites in Fuzhou, China, Environmental Science and Pollution Research, 19, 5, 1443-1453. (link)
  4. Zhao, J., Chen, S., Wang, H., Ren, Y., Du, K., Xu, W., Zheng, H., and Jiang, B. (2012) Quantifying the impact of socio-economic factors on air quality in Chinese cities from 2000 to 2009, Environmental Pollution, 167, 148-154. (link)

2011

  1. Du, K.*, Wang, Y., Chen, B., Wang, K., et al. (2011) Digital photographic method to quantify black carbon in ambient aerosols, Atmospheric Environment, 45, 39, 7113-7120. (link)
  2. Du, K.*, Rood, M. J., Welton, E. J., Varma, R., Hashmonay, R. A., Kim, B. J., and Kemme, M. R. (2011) Optical remote sensing to quantify fugitive particulate mass emissions from stationary short-term and mobile continuous sources: Part I. Method and examples, Environmental Science & Technology, 45, 2, 658-665. (link)
  3. Du, K.*, Yuen, W., Wang, W., Rood, M. J., Varma, R., Hashmonay, R. A., E., Kim, B. J., and Kemme, M. R. (2011) Optical remote sensing to quantify fugitive particulate mass emissions from stationary short-term and mobile continuous sources: Part II. Field applications, Environmental Science & Technology, 45, 2, 666-672. (link)

2009

  1. Du, K., Rood, M. J., Kim, B. J., Kemme, M. R., Franek, B., and Mattison, K. (2009) Evaluation of digital optical method to determine plume opacity during nighttime, Environmental Science & Technology, 43, 3, 783-789. (link)
  2. Du, K.*, Rood, M. J., Kim, B. J., Kemme, M. R., Franek, B., and Mattison, K. (2009) Digital photographic technique to quantify plume opacity during daytime and nighttime, chapter in book Atmospheric and Biological Environmental Monitoring, Springer-Verlag GmbH, 39-50. (link)

2008

  1. Varma, R., Hashmonay, R. A., Du, K., et al. (2008) A novel methodology for fugitive dust emission estimation using optical remote sensing, chapter in book, Advanced Environmental Monitoring, Springer-Verlag GmbH, 143-154. (link)

2007

  1. Du, K., Rood, M. J., Kim, B. J., Kemme, M. R., Franek, B., and Mattison, K. (2007) Quantification of plume opacity by digital photography, Environmental Science & Technology, 41, 3, 928-935. (link)
  2. Du, K., Rood, M. J., Kim, B. J., Kemme, M. R., Franek, B., Mattison, K. and Cook, J. (2007) Field evaluation of digital optical method to quantify the visual opacity of plumes, Journal of the Air & Waste Management Association, 57, 7, 836-844. (link)

Before 2007

  1. Liu, G., Xuan, J., Du, K., and Zhao R. (2004) Wind tunnel experiments on dense gas plume dispersion, Journal of Safety and Environment, 4, 3, 27-32.(in Chinese)
  2. Jiang, C., Ding, H., Liu, G., Du, K., Xuan, J., and Zhao, R. (2003) Comparison and analysis of wind tunnel test data and dispersion model prediction for accidental continuous release of dense gases, China Safety Science Journal, 13, 2, 8-13.(in Chinese)
  3. Xuan, J., Liu, G. and Du, K. (2000) Dust emission inventory in Northern China, Atmospheric Environment, 34, 26, 4565-4570. (link)
  4. Duan, L., Hao, J. Xie, S. and Du, K. (2000) Critical loads of acidity for surface waters in China, Science of the Total Environment, 246, 1, 1-10. (link)
  5. Zhan, X., Wang, J., Wen, X., Kong, H., Du, K., and Qian, Y. (1999) Adsorption of aniline on NKA-II macroporous adsorption resin, Environmental Chemistry, 18, 4, 359-363. (in Chinese)

Patents

  1. Chinese Patent No. 201010177047.7. Awarded on August 29, 2014, inventor: Du, K., “Dual digicam method to quantify atmospheric visibility”.
  2. Chinese Patent No. 201110078731.4. Awarded on August 15, 2014, inventors: Du, K., Wang, Y., “A method to quantify black carbon concentration in ambient aerosols using digital camera”.
  3. Chinese patent pending, Application No. 201210080031.3, March 26, 2012, inventors: Shi, P., Du, K., “An open-path method based on Fast Fourier Transform (FFT) to quantify plume opacity”.
  4. Chinese patent pending, Application No. 201110442838.2, December 27, 2011, inventors: Shi, P., Du, K., “Laser transmission method and system for quantifying the opacity of fugitive dust plumes”.
  5. U.S. Patent No. US 7,495,767 B2, Awarded on Feb. 24, 2009, inventors: Kim, B. J., Rood, M. J., and Du, K., “Digital Optical Method (DOMTM) and system for determining opacity”.

Standard Methods

  1. ASTM Subcommittee D22.03, “Standard test method for determining the opacity of a plume in the outdoor ambient atmosphere”, ASTM International, Designation: D7520-09, December 2009, pp. 21.(link)