Year 2023
76. Zhou, Y., J. Liu, W. Ge, C. He, J. Ma, and S. Tao (2023): Towards carbon neutrality: projecting a desert-based photovoltaic power network circumnavigating the globe, PNAS Nexus, in press
75. He, C., P. Valayamkunnath, M. Barlage, F. Chen, D. Gochis, R. Cabell, T. Schneider, R. Rasmussen, G.-Y. Niu, Z.-L. Yang, D. Niyogi, and M. Ek (2023): The Community Noah-MP Land Surface Modeling System Technical Description Version 5.0, (No. NCAR/TN-575+STR). doi:10.5065/ew8g-yr95
74. Abolafia-Rosenzweig, R., C. He, F. Chen, K. Ikeda, T. Schneider, and R. Rasmussen (2023): High Resolution Forecasting of Summer Drought in the Western United States, Water Resources Research, doi: 10.1029/2022WR033734, in press
73. Demuzere, M., C. He, A. Martilli, and A. Zonato (2023): A hybrid 100-m global land cover dataset with Local Climate Zones for WRF (1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7670653
72. Demuzere, M., C. He, A. Martilli, and A. Zonato (2023): Technical documentation for the hybrid 100-m global land cover dataset with Local Climate Zones for WRF (1.0.0). Zenodo. https://doi.org/10.5281/zenodo.7670792
71. Li, C., S. Kang, F. Yan, C. Zhang, J. Yang, and C. He (2023): Importance of precipitation and dust storms in regulating black carbon deposition on remote Himalayan glaciers, Environmental Pollution, 318, 120885, https://doi.org/10.1016/j.envpol.2022.120885
70. Hao, D., G. Bisht, K. Rittger, E. Bair, C. He, H. Huang, C. Dang, T. Stillinger, Y. Gu, H. Wang, Y. Qian, and L. R. Leung (2023): Improving snow albedo modeling in the E3SM land model (version 2.0) and assessing its impacts on snow and surface fluxes over the Tibetan Plateau, Geosci. Model Dev., 16, 75–94, https://doi.org/10.5194/gmd-16-75-2023 (journal highlight paper)
69. Kok, J. F., T. Storelvmo, V. A. Karydis, A. A. Adebiyi, N. M. Mahowald, A. T. Evan, C. He, and D. M. Leung (2023): Mineral dust aerosol impacts on global climate and climate change, Nature Reviews Earth & Environment, https://doi.org/10.1038/s43017-022-00379-5
68. Doan, Q. V., Kobayashi, S., Kusaka, H., Chen, F., He, C., & Niyogi, D. (2023). Tracking Urban Footprint on Extreme Precipitation in an African Megacity. Journal of Applied Meteorology and Climatology, 62(2), 209-226, https://doi.org/10.1175/JAMC-D-22-0048.1
Year 2022
67. Huang, H., Y. Qian, Y. Liu, C. He, J. Zheng, Z. Zhang, and A. Gkikas (2022): Where does the dust deposited over the Sierra Nevada snow come from?, Atmos. Chem. Phys., 22, 15469–15488, https://doi.org/10.5194/acp-22-15469-2022
66. Hoell, A., X.-W. Quan, M. Hoerling, H. F. Diaz, R. Fu, C. He, J. R. Lisonbee, J. S. Mankin, R. Seager, A. Sheffield, I. R. Simpson, and E. R. Wah (2022): Water Year 2021 Compound Precipitation and Temperature Extremes in California and Nevada, Bull. Amer. Meteor. Soc., E2905–E2911, https://doi.org/10.1175/BAMS-D-22-0112.1
65. Abolafia-Rosenzweig, R., C. He, S. M. Skiles, F. Chen, and D. Gochis (2022): Evaluation and optimization of snow albedo scheme in Noah-MP land surface model using in-situ spectral observations in the Colorado Rockies, Journal of Advances in Modeling Earth Systems, doi:10.1029/2022MS003141
64. Roychoudhury, C., C. He, R. Kumar, J. M. McKinnon, and A. F. Arellano (2022): On the relevance of aerosols to snow cover variability over High Mountain Asia, Geophys. Res. Lett., doi:10.1029/2022GL099317
63. Tang, W., L. Emmons, R. Buchholz, C. Wiedinmyer, R. Schwantes, C. He, R. Kumar, G. Pfister, H. Worden, R. Hornbrook, E. Apel, S. Tilmes, B. Gaubert, S. Martinez-Alonso, F. Lacey, C. Holmes, G. Diskin, I. Bourgeois, J. Peischl, T. Ryerson, J. Hair, A. Weinheimer, D. Montzka, G. Tyndall, and T. Campos (2022): Effects of fire diurnal variation and plume rise on U.S. air quality during FIREX-AQ and WE-CAN based on the Multi-Scale Infrastructure for Chemistry and Aerosols (MUSICA-V0), J. Geophys. Res.-Atmos, e2022JD036650, https://doi.org/10.1029/2022JD036650
62. Li, C., C. Zhang, F. Yan, S. Kang, Y. Xu, Y. Liu, Y. Gao, P. Chen, and C. He (2022), Importance of local non-fossil sources to carbonaceous aerosols at the eastern fringe of the Tibetan Plateau, China: Δ14C and δ13C evidences, Environmental Pollution, 311, 119858, https://doi.org/10.1016/j.envpol.2022.119858
61. Abolafia-Rosenzweig, R., C. He, and F. Chen (2022), For western wildfires, the immediate past is prologue, Eos, 103, https://doi.org/10.1029/2022EO220319, (available at https://eos.org/science-updates/for-western-wildfires-the-immediate-past-is-prol...).
60. Gul, C., S. Kang, S. Praveen, X. Wu, C. He, Y. Xu, I. Koch, S. Muhammad, R. Kumar, and G. Dubache (2022): Measurement of Light-absorbing particles in surface snow of central and western Himalayan glaciers: spatial variability, radiative impacts, and potential source regions, Atmos. Chem. Phys., 22, 8725–8737, https://doi.org/10.5194/acp-22-8725-2022
59. Shi, T., C. He, D. Zhang, X. Zhang, X. Niu, Y. Xing, Y. Chen, J. Cui, W. Pu, and X. Wang (2022): Opposite effects of mineral dust nonsphericity and size on dust-induced snow albedo reduction, Geophys. Res. Lett., e2022GL099031.
58. He, C. (2022): Modeling light-absorbing particle-snow-radiation interactions and impacts on snow albedo: fundamentals, recent advances, and future directions, Environmental Chemistry, doi:10.1071/EN22013
57. Shan, Y., H. Shi, J. Fan, L. Lin, L. Gao, C. He, M. Gao, L. Miao, L. Zhang, X. Xia, and H. Chen (2022): Revealing bias of cloud radiative effect in WRF simulation: bias quantification and source attribution, J. Geophys. Res.-Atmos, doi:10.1029/2021JD036319
56. Huang, H., Y. Qian, C. He, E. Bair, and K. Rittger (2022): Snow albedo feedbacks enhance snow impurity-induced radiative forcing in the Sierra Nevada, Geophys. Res. Lett., doi:10.1029/2022GL098102
55. Abolafia-Rosenzweig, R., C. He, and F. Chen (2022): Winter and spring climate explains a large portion of interannual variability and trend in western U.S. summer fire burned area, Environmental Research Letters, https://doi.org/10.1088/1748-9326/ac6886
54. Zhang, C., S. Gao, F. Yan, S. Kang, C. He, and C. Li (2022): An overestimation of light absorption of brown carbon in ambient particles caused by using filters with large pore size, Science of Total Environment, 155286, https://doi.org/10.1016/j.scitotenv.2022.155286
53. Kumar, R., C. He, P. Bhardwaj, F. Lacey, R. R. Buchholz, G. P. Brasseur, W. Joubert, C. Labuschagne, E. Kozlova, and T. Mkololo (2022): Assessment of regional carbon monoxide simulations over Africa and insights into source attribution and regional transport, Atmospheric Environment, 119075, https://doi.org/10.1016/j.atmosenv.2022.119075
52. Qian, Y., T. Chakraborty, J. Li, D. Li, C. He, C. Sarangi, F. Chen, X. Yang, and L. R. Leung (2022): Urbanization impact on regional climate and extreme weather: Current understanding, uncertainties, and future research directions, Advances in Atmospheric Sciences, https://doi.org/10.1007/s00376-021-1371-9
51. Hoell, A., X.-W. Quan, M. Hoerling, R. Fu, J. Mankin, I. Simpson, R. Seager, C. He, F. Lehner, J. Lisonbee, B. Livneh, and A. Sheffield (2022): Record Low 2020 North American Monsoon Rains Reignites American Southwestern Drought, Bull. Amer. Meteor. Soc., doi: 10.1175/BAMS-D-21-0129.1
50. Li, C., F. Yan, C. Zhang, S. Kang, M. Rai, H. Zhang, S. Hu, and C. He (2022): Coupling of decreased snow accumulation and increased light absorption particles accelerates glacier retreat in the Himalayas and Tibetan Plateau, Science of Total Environment, 151095, https://doi.org/10.1016/j.scitotenv.2021.151095
Year 2021
49. Feng, X., X. Zhang, C. He, and J. Wang (2021): Contributions of traffic and industrial emission reductions to the air quality improvement after the lockdown of Wuhan and neighboring cities due to COVID-19, Toxics, 9(12), 358, https://doi.org/10.3390/toxics9120358
48. Wang, Y., W. Li, J. Huang, L. Liu, Y. Peng, C. He, F. Liu, D. Liu, L. Bi, X. Zhang, and Z. Shi (2021): Nonlinear enhancement of radiative absorption by black carbon in response to particle mixing structure, Geophys. Res. Lett., 48, e2021GL096437, https://doi.org/10.1029/2021GL096437
47. Wang, W., C. He, J. Moore, G. Wang, and G.-Y. Niu (2021): Physics-based narrowband optical parameters for snow albedo simulation in climate models, Journal of Advances in Modeling Earth Systems, https://doi.org/10.1029/2020MS002431
46. Flanner, M. G., J. Arnheim, J. M. Cook, C. Dang, C. He, X. Huang, D. Singh, S. M. Skiles, C. A. Whicker, and C. S. Zender (2021): SNICAR-AD v3: A Community Tool for Modeling Spectral Snow Albedo, Geosci. Model Dev., 14, 7673–7704, https://doi.org/10.5194/gmd-14-7673-2021
45. He, C., F. Chen, R. Abolafia-Rosenzweig, K. Ikeda, C. Liu, and R. Rasmussen (2021): What causes the unobserved early-spring snowpack ablation in convection-permitting WRF modeling over Utah mountains?, J. Geophys. Res.-Atmos, 126(22), e2021JD035284, https://doi.org/10.1029/2021JD035284
44. Abolafia-Rosenzweig, R., C. He, S. Burns, and F. Chen (2021): Implementation and evaluation of a unified turbulence parameterization throughout the canopy and roughness sublayer in Noah-MP snow simulations, Journal of Advances in Modeling Earth Systems, 13(11), e2021MS002665, https://doi.org/10.1029/2021MS002665
43. Zonato, A., A. Martilli, E. Gutierrez, F. Chen, C. He, M. Barlage, D. Zardi and L. Giovannini (2021): Exploring the effects of rooftop mitigation strategies on urban temperatures and energy consumption, J. Geophys. Res.-Atmos, 126(21), e2021JD035002, https://doi.org/10.1029/2021JD035002
42. Jiang, Y., Y. Gao, C. He, B. Liu, Y. Pan, and X. Li (2021): Spatiotemporal distribution and variation of wind erosion over the Tibetan Plateau based on a coupled land-surface wind-erosion model, Aeolian Research, 50, 100699, https://doi.org/10.1016/j.aeolia.2021.100699
41. Gul, C., P. Mahapatra, S. Kang, P. K. Singh, X. Wu, C. He, R. Kumar, M. Rai, Y. Xu, and S. P. Puppala (2021): Black carbon concentration in the central Himalayas: impact on glacier melt and potential source contribution, Environmental Pollution, https://doi.org/10.1016/j.envpol.2021.116544
40. He, C., O. Clifton, E. Felker-Quinn, S. R. Fulgham, J. J. Calahorrano, D. Lombardozzi, G. Purser, M. Riches, R. Schwantes, W. Tang, B. Poulter, and A. L. Steiner (2021). Interactions between Air Pollution and Terrestrial Ecosystems: Perspectives on Challenges and Future Directions, Bull. Amer. Meteor. Soc., 102(3), E525-E538, https://doi.org/10.1175/BAMS-D-20-0066.1
39. Li, C., F. Yan, S. Kang, C. Yan, Z. Hu, P. Chen, S. Gao, C. Zhang, C. He, A. Stubbins, and S. Kaspari (2021): Carbonaceous matter in the atmosphere and glaciers of the Himalayas and the Tibetan Plateau: an investigative review, Environment International, 146, 106281, https://doi.org/10.1016/j.envint.2020.106281
Year 2020
38. J. Gelman Constantin, L. Ruiz, G. Villarosa, V. Outes, F. N. Bajano, C. He, H. Bajano, and L. E. Dawidowski (2020): Measurements and modeling of snow albedo at Alerce Glacier, Argentina: effects of volcanic ash, snow grain size and cloudiness, The Cryosphere, 14, 4581-4601, https://doi.org/10.5194/tc-14-4581-2020
37. Jiang, Y., F. Chen, Y. Gao, C. He, M. Barlage, and W. Huang (2020): Assessment of uncertainty sources in snow cover simulation in the Qinghai-Tibet Plateau, J. Geophys. Res.-Atmos, 125, e2020JD032674, doi:10.1029/2020JD032674.
36. Liu, D., C. He, J. P. Schwarz, and X. Wang (2020): Lifecycle of light-absorbing carbonaceous aerosols in the atmosphere. npj Clim Atmos Sci, 3, 40 (2020). https://doi.org/10.1038/s41612-020-00145-8.
35. He, C. and M. Flanner (2020). Snow Albedo and Radiative Transfer: Theory, Modeling, and Parameterization. In: Kokhanovsky A. (eds), Springer Series in Light Scattering (Volume 5), Springer, Cham, doi:10.1007/978-3-030-38696-2_3
Year 2019
34. He, C., F. Chen, M. Barlage, C. Liu, A. Newman, W. Tang, K. Ikeda, and R. Rasmussen (2019): Can convection-permitting modeling provide decent precipitation for offline high-resolution snowpack simulations over mountains, J. Geophys. Res.-Atmos, 124, https://doi.org/10.1029/2019JD030823.
33. He, C., K. N. Liou, Y. Takano, F. Chen, and M. Barlage (2019): Enhanced snow absorption and albedo reduction by dust-snow internal mixing: modeling and parameterization, JAMES, 11, 3755-3776, doi:10.1029/2019MS001737.
32. Yan, F., C. He, S. Kang, P. Chen, X. Han, S. Gautam, Z. Hu, C. Yan, M. Zheng, M. Sillanpää, P. Raymond, and C. Li (2019): Deposition of organic and black carbon: direct measurements at three remote stations in the Himalayas and Tibetan Plateau, J. Geophys. Res.-Atmos, 124, doi:10.1029/2019JD031018.
31. Ding, S., D. Zhao, C. He, M. Huang, H. He, P. Tian, K. Bi, C. Yu, J. Pitt, Y. Chen, X. Ma, Y. Chen, X. Jia, S. Kong, J. Wu, D. Hu, K. Hu, D. Ding, and D. Liu (2019), Observed interactions between black carbon and hydrometeor during wet scavenging in mixed-phase clouds, Geophys. Res. Lett., 46, 8453-8463, doi:10.1029/2019GL083171.
30. W. Pu, J. Cui, T. Shi, X. Zhang, C. He, and X. Wang (2019): The remote sensing of radiative forcing by light-absorbing particles (LAPs) in seasonal snow over northeastern China, Atmos. Chem. Phys., 19, 9949–9968, doi:10.5194/acp-19-9949-2019.
29. K. Yi, J. Meng, H. Yang, C. He, D. Henze, J. Liu, D. Guan, Z. Liu, L. Zhang, X. Zhu, Y. Cheng, and S. Tao (2019): The cascade of global trade to large climate forcing over the Tibetan Plateau glaciers, Nature Communications, 10, 3281, doi:10.1038/s41467-019-10876-9.
28. He, C. (2019). Radiative properties of atmospheric black carbon (soot) particles with complex structures. In: Kokhanovsky A. (eds) Springer Series in Light Scattering (Volume 4), Springer, Cham, doi:10.1007/978-3-030-20587-4_5.
27. Tang, W., Emmons, L. K., Arellano, A. F., Gaubert, B., Knote, C., Tilmes, S., Buchholz, R. R., Pfister, G. G., Diskin, G. S., Blake, D. R., Blake, N. J., Meinardi, S., DiGangi, J P., Choi, Y., Woo,J., He, C., Schroeder, J. R., Suh, I., Lee, H., Jo, H., Kanaya, Y.,Jung, J., Lee, Y., and Kim, D. (2019): Source contributions to carbon monoxide concentrations during KORUS-AQ based on CAM-chem model applications, J. Geophys. Res. Atmos., 124, 2796–2822, doi:10.1029/2018JD029151.
Year 2018
26. He, C., Flanner, M. G., Chen, F., Barlage, M., Liou, K. N., Kang, S., Ming, J., and Qian, Y. (2018): Black carbon-induced snow albedo reduction over the Tibetan Plateau: uncertainties from snow grain shape and aerosol–snow mixing state based on an updated SNICAR model, Atmos. Chem. Phys., 18, 11507-11527, doi:10.5194/acp-18-11507-2018.
25. He, C., K. N. Liou, and Y. Takano (2018): Resolving size distribution of black carbon internally mixed with snow: impact on snow optical properties and albedo, Geophys. Res. Lett., 45, 2697-2705, doi:10.1002/2018GL077062.
24. He, C., K. N. Liou, Y. Takano, P. Yang, L. Qi, and F. Chen (2018): Impact of grain shape and multiple black carbon internal mixing on snow albedo: parameterization and radiative effect analysis, J. Geophys. Res.-Atmos, 123, doi:10.1002/2017JD027752.
23. Yan, Y.-Y., J. Lin, and C. He (2018): Ozone trends over the United States at different times of day, Atmos. Chem. Phys., 18, 1185-1202, doi:10.5194/acp-18-1185-2018.
22. Zhao, B., Liou, K.-N., Gu, Y., Jiang, J. H., Li, Q., Fu, R., Huang, L., Liu, X., Shi, X., Su, H., and He, C. (2018): Impact of aerosols on ice crystal size, Atmos. Chem. Phys., 18, 1065-1078, doi:10.5194/acp-18-1065-2018.
Year 2017
21. Wang, Y., F. Liu, C. He, L. Bi, T. Cheng, Z. Wang, H. Zhang, X. Zhang, Z. Shi, and W. Li (2017): Fractal dimensions and mixing structures of soot particles during atmospheric processing, Environ. Sci. Technol. Lett., 4, 487-493, doi:10.1021/acs.estlett.7b00418.
20. He, C., Y. Takano, K.-N. Liou, P. Yang, Q. Li, and F. Chen (2017): Impact of snow grain shape and black carbon-snow internal mixing on snow optical properties: Parameterizations for climate models, J. Climate, 30(24), 10019-10036, doi:10.1175/JCLI-D-17-0300.1.
19. Qi, L., Q. Li, D. Henze, H.-L. Tseng, and C. He (2017): Sources of Springtime Surface Black Carbon in the Arctic: An Adjoint Analysis for April 2008, Atmos. Chem. Phys., 17, 9697-9716, doi:10.5194/acp-17-9697-2017.
18. He, C. (2017). Climatic Effects of Black Carbon Aerosols over the Tibetan Plateau, Doctoral dissertation, University of California, Los Angeles.
17. Zhao, B., K.-N. Liou, Y. Gu, Q. Li, J. H. Jiang, H. Su, C. He, H.-L. Tseng, S. Wang, R. Liu, L. Qi, W.-L. Lee, and J. Hao (2017): Enhanced PM2.5 pollution in China due to aerosol-cloud interactions, Scientific Reports, 7, 4453, doi:10.1038/s41598-017-04096-8.
16. Qi, L., Li, Q., He, C., Wang, X., and Huang, J. (2017): Effects of the Wegener-Bergeron-Findeisen Process on Global Black Carbon Distribution, Atmos. Chem. Phys., 17, 7459-7479, doi:10.5194/acp-17-7459-2017.
15. He, C., Y. Takano, and K. N. Liou (2017), Close packing effects on clean and dirty snow albedo and associated climatic implications, Geophys. Res. Lett., 44, doi:10.1002/2017GL072916.
14. Li, Z., J. Liu, D. L. Mauzerall, X. Li, S. Fan, L. W. Horowitz, C. He, K. Yi, and S. Tao (2017): A potential large and persistent black carbon forcing over Northern Pacific inferred from satellite observations. Scientific Reports, 7, 43429, doi:10.1038/srep43429.
13. Qi, L., Li, Q., Li, Y., and He, C. (2017): Factors controlling black carbon distribution in the Arctic, Atmos. Chem. Phys., 17, 1037-1059, doi:10.5194/acp-17-1037-2017.
12. Lee, W. L., Liou, K. N., He, C., Liang, H. C., Wang, T. C., Li, Q., Liu, Z. and Yue, Q. (2017): Impact of absorbing aerosol deposition on snow albedo reduction over the southern Tibetan plateau based on satellite observations. Theor. Appl. Climatol., 129(3-4), 1373-1382, doi:10.1007/s00704-016-1860-4.
Year 2016
11. He, C., Y. Takano, K. N. Liou, P. Yang, Q. B. Li, and D. W. Mackowski (2016): Intercomparison of the GOS approach, superposition T-matrix method, and laboratory measurements for black carbon optical properties during aging, J. Quant. Spectrosc. Radiat. Transf., 184, 287–296, doi:10.1016/j.jqsrt.2016.08.004.
10. Zhao, B., K. N. Liou, Y. Gu, C. He, W.-L. Lee, X. Chang, Q. Li, S. Wang, H.-L. Tseng, L.-Y. R. Leung, and J. Hao (2016): Impact of buildings on surface solar radiation over urban Beijing, Atmos. Chem. Phys., 16, 5841-5852, doi:10.5194/acp-16-5841-2016.
9. He, C., Li, Q., Liou, K. N., Qi, L., Tao, S., and Schwarz, J. P. (2016): Microphysics-based black carbon aging in a global CTM: constraints from HIPPO observations and implications for global black carbon budget, Atmos. Chem. Phys., 16, 3077-3098, doi:10.5194/acp-16-3077-2016.
Year 2015
8. He, C., Liou, K. N., Takano, Y., Zhang, R., Zamora, M. L., Yang, P., Li, Q., and Leung, L. R. (2015): Variation of the radiative properties during black carbon aging: theoretical and experimental intercomparison, Atmos. Chem. Phys., 15, 11967-11980, doi:10.5194/acp-15-11967-2015.
7. Mao, Y. H., Q. B. Li, D. K. Henze, Z. Jiang, D. B. A. Jones, M. Kopacz, C. He, L. Qi, M. Gao, W.-M. Hao, and K. N. Liou (2015): Estimates of black carbon emissions in the western United States using the GEOS-Chem adjoint model, Atmos. Chem. Phys., 15, 7685-7702, doi:10.5194/acp-15-7685-2015.
Year 2014
6. He, C., Q. Li, K. N. Liou, Y. Takano, Y. Gu, L. Qi, Y. Mao, and L. R. Leung (2014): Black carbon radiative forcing over the Tibetan Plateau, Geophys. Res. Lett., 41, 7806 – 7813, doi:10.1002/2014GL062191.
5. He, C., Q. B. Li, K. N. Liou, J. Zhang, L. Qi, Y. Mao, M. Gao, Z. Lu, D. G. Streets, Q. Zhang, M. M. Sarin, and K. Ram (2014): A global 3-D CTM evaluation of black carbon in the Tibetan Plateau, Atmos. Chem. Phys., 14, 7091-7112, doi:10.5194/acp-14-7091-2014.
4. Liou, K. N., Y. Takano, C. He, P. Yang, L. R. Leung, Y. Gu, and W. L. Lee (2014): Stochastic parameterization for light absorption by internally mixed BC/dust in snow grains for application to climate models, J. Geophys. Res.-Atmos., 119, doi:10.1002/2014JD021665.
Years 2012-2013 (undergraduate research)
3. He, C., Liu, J., Carlton, A. G., Fan, S., Horowitz, L. W., Levy II, H., and Tao, S. (2013): Evaluation of factors controlling global secondary organic aerosol production from cloud processes, Atmos. Chem. Phys., 13, 1913-1926, doi:10.5194/acp-13-1913-2013.
2. He, C. and T.-M. Fu (2013): Air-Sea Exchange of Volatile Organic Compounds: A New Model with Microlayer Effects, Atmos. Oceanic Sci. Lett., 6, 97−102, doi: 10.1080/16742834.2013.11447063.
1. He, C., F. Gao, X. Lu, Z. Hou, and S. Zhang (2012): Eco-toxicological Effects of Multi-Wall Carbon Nanotube on Soil Microorganisms, Asian Journal of Ecotoxicology, 7, 148-155.
