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胡建林

领域:节能环保产业 学校:南京信息工程大学职称:教授

大气环境...

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教育背景

2006.9 — 2012.2 加州大学戴维斯分校大气科学专业 博士2002.9 — 2005.7北京大学环境科学专业硕士1998.9 — 2002.7 北京大学大气科学;经济学(双学位)学士

工作经历

2019.11 至今 江苏省大气污染控制联合实验室,副主任2015.10 至今 江苏省大气环境监测与污染控制高技术研究重点实验室,副主任2015.3 至今南京信息工程大学环境科学与工程学院,教授2012.3 —2015.3加州大学戴维斯分校土木与环境工程系,博士后研究员

项目课题经历

在研项目:1. 2021.1-2023.12,国家自然基金面上项目(41975162),“气溶胶来源与老化分辨的大气化学-气象耦合模式开发与应用”,项目负责人2. 2017.1-2020.12,国家自然基金面上项目(41675125),“基于源导向空气质量模型的长三角地区精细化颗粒物暴露评估研究”,项目负责人3. 2016.8-2019.7,国家科技部重点研发计划“大气污染成因与控制技术研究”重点专项(2016YFC0203500),“气溶胶混合状态与形态对大气化学-气象反馈过程的影响研究(青年项目)”,项目负责人4. 2019.7-2021.7,江苏省PM2.5与臭氧污染协同控制重大专项课题,参与5. 2016.1-2019.12,国家自然科学基金重大研究计划(91544220),“液相氧化二次有机气溶胶生成机制及其对长三角雾霾生消与空气质量的影响”,子课题负责人6. 2017.10-2019.7,江苏省环保科研课题(2017003)“臭氧前体物排放特征与控制对策研究”,参与7. 2018.1-2018.12,南京市环保局,“南京市大气环境质量达标可行性研究(臭氧)”,参与完成项目:1. 2016,江苏省科技厅,“重污染天气分型及预警指标体系研究”2. 2017,南京市环保局,“南京市空气质量(PM2.5)达标规划研究”3. 2018,南京市环科院,“南京市不同管控情景下空气质量改善分析”4. 2018,江苏省自然科学基金,“长江三角洲地区大气颗粒物暴露来源的数值模拟研究”5. 2018,江苏省自然科学基金,“南京市大气中VOCs的来源量化及臭氧生成作用研究”6. 2019,中国清洁发展机制基金赠款项目,“大气污染防治行动计划对二氧化碳排放的影响研究”7. 2019,南京市环科院,“南京市大气污染物排放清单评估校验”

论文、成果、著作等

* 通讯作者 # 指导学生 发表刊印:2020:83. T. Liu#, C. Wang#, Y. Wang#, L. Huang, J. Li, F. Xie, J. Zhang, J. Hu*, Impacts of model resolution on predictions of air quality and associated health exposure in Nanjing, China. Chemosphere, 2020, 126515.2020_Liu_Chemosphere_Model Resolution.pdf82. L. Bai#, L. Huang, Z. Wang, Q. Ying*, J. Zheng, X. Shi, J. Hu*. Long-term field evaluation of low-cost aerosol monitors in Nanjing. Aerosol and Air Qual. Res., 2020, 20: 242-253, doi: 10.4209/aaqr.2018.11.0424.2020-Bai-AAQR-Low Cost Sensors.pdf81. J. Liu, X. Li*, Y. Yang, H. Wang, C. Kuang, Y. Zhu, M. Chen, J. Hu, L. Zeng, Y. Zhang. Sensitive Detection of Ambient Formaldehyde by Incoherent Broadband Cavity Enhanced Absorption Spectroscopy. Analytical Chemistry, 2020, 92(3): 2697-2705.2020-Liu-acs.analchem.Detection of Formaldehyde.pdf80. F. Han, H. Guo, J. Hu, J. Zhang, Q. Ying, H. Zhang*. Sources and health risks of ambient polycyclic aromatic hydrocarbons in China. Science of The Total Environment, 2020, 698:134229.2020-Han-STE-sources and health risks of PAH in China.pdf201979. X. Yu, M. Venecek., A. Kumar, J. Hu, S. Tanrikulu, S. Soon, C. Tran, D. Fairley, M.J. Kleeman*. Regional sources of airborne ultrafine particle number and mass concentrations in California. Atmos. Chem. Phys., 2019, 14677–14702.2019-Yu-acp-ultrafine number and mass in California.pdf78. J. Liu, X. Li*, Y. Yang, H. Wang, Y. Wu, X. Lu, M. Chen, J. Hu, X. Fan, L. Zeng, Y. Zhang. An IBBCEAS system for atmospheric measurements of glyoxal and methylglyoxal in the presence of high NO2 concentrations. Atmos. Meas. Tech., 2019, 12, 4439–4453.2019-Liu-amt-12-4439-IBBCEAS system.pdf77. J. Hu*, B. Ostro, H. Zhang, Q. Ying, M.J. Kleeman. Using chemical transport model predictions to improve exposure assessment of PM2.5 constituents. Environ. Sci. Technol. Lett., 2019, 6, 456-461.2019-ESTlett-Exposure Assessment of PM2.5 Constituents.pdf76. Y. Wang#, Z. Shi#, F. Shen, J. Sun#, L. Huang, H. Zhang, C. Chen, T. Li*, J. Hu*. Associations of daily mortality with short-term exposure to PM2.5 and its constituents in Shanghai, China. Chemosphere, 2019, 233:879-887.2019-Wang-Chemosphere-Shanghai Mortality.pdf75. P. Wang, Y. Chen, J. Hu, H. Zhang, Q. Ying*. Source apportionment of summertime ozone in China using a source-oriented chemical transport model. Atmospheric Environment, 2019, 211: 79-90.2019-Wang-AE_Ozone Source Apportionment in China.pdf74. H. Guo, K. Chen, P. Wang, J. Hu, Q. Ying, A. Gao, H. Zhang*. Simulation of summer ozone and its sensitivity to emission changes in China. Atmospheric Pollution Research, 2019, 1543-1552.2019-Guo-APR-ozone sentivity to emission changes in China.pdf73. 谢放尖,史之浩#,李婧祎,郑新梅,胡建林*,刘春蕾,杨峰. 基于达标约束的南京市环境空气质量情景模拟[J]. 环境科学,2019,40(7),2967-2976.2019-谢-环境科学-基于达标约束的南京市环境空气质量情景模拟.pdf72. Z. Lu#, L. Huang, J. Liu*, Y. Zhou, M. Chen*, J. Hu*. Carbon Dioxide Mitigation Co-benefit Analysis of Energy-related Measures in the Air Pollution Prevention and Control Action Plan in the Jing-Jin-Ji Region of China. Resources, Conservation & Recycling: X, 2019, 1, 100006.2019-Lu-RCR-Cobenifit of Action Plan.pdf71. O. Laurent, T. Benmarhnia, C. Milesi, J. Hu, M.J. Kleeman, M. Cockburn, J. Wu. Relationships between greenness and low birth weight: investigating the interaction and mediation effects of air pollution. Environmental Research, 2019, 175, 124-132.2019-Laurent-ER-air pollution greenness and low birth weight.pdf70. X. Qiao, H. Guo, Y. Tang, P. Wang, W. Deng, X. Zhao, J. Hu, Q. Ying, H. Zhang*. Local and regional contributions to fine particulate matter in the 18 cities of Sichuan Basin, southwestern China. Atmos. Chem. Phys., 2019, 19:5791-5803.2019-Qiao-acp-transport of PM in Sichuan Basin.pdf69. X. Qiao , P. Wang , J. Zhang, H. Zhang, Y. Tang , J. Hu, Q. Ying*. Spatial-temporal variations and source contributions to forest ozone exposure in China. Science of the Total Environment, 2019, 674: 189–199.2019-Qiao-STE-forest ozone exposure in China.pdf68. T. Wang, Z. Du, T. Tan, N. Xu, M. Hu, J. Hu, S. Guo*. Measurement of aerosol optical properties and their potential source origin in urban Beijing from 2013-2017. Atmospheric Environment, 2019, 206: 293–302.2019-Wang-AE_Aerosol Optical Properties in Beijing 2013-2017.pdf67. Y. Chang, Z. Zou, Y. Zhang*, C. Deng*, J. Hu, Z. Shi#, A.J. Dore, J.L. Collett Jr. Assessing contributions of agricultural and nonagricultural emissions to atmospheric ammonia in a Chinese megacity. Environ. Sci. Technol., 2019, 53: 1822-1833.2019_Chang_EST_Nonagriculture Ammonia.pdf66. P. Wang, Y. Chen, J. Hu, H. Zhang, Q. Ying*. Attribution of tropospheric ozone to NOx and VOC emissions: considering ozone formation in the transition regime. Environ. Sci. Technol., 2019, 53, 1404-14122019-Wang-EST-Ozone Source Appoinment in Transition Regime.pdf65. J. Li, H. Liao*, J. Hu, N. Li. Severe particulate pollution days in China during 2013-2018 and the associated typical weather patterns in Beijing-Tianjin-Hebei and the Yangtze River Delta regions. Environmental Pollution, 2019, 248: 74-81.2019-Li-EP-Typical weather patterns.pdf64. P. Wang, H. Guo, J. Hu*, S. H. Kota, Q. Ying, H. Zhang*. Responses of PM2.5 and O3 concentrations to changes of meteorology and emissions in China. Science of the Total Environment, 2019, 662: 297–306.2019_Wang_STE-responses of PM2.5 and O3 to changes of meteorology and emissions.pdf63. J. Sun#, M. Liang#, Z. Shi#, F. Shen, J. Li, L. Huang, X. Ge, Q. Chen, Y. Sun, Y. Zhang, Y. Chang, D. Ji, Q. Ying, H. Zhang, S.H. Kota, J. Hu*. Investigating the PM2.5 mass concentration growth processes during 2013–2016 in Beijing and Shanghai, Chemosphere, 221: 452-463, 2019.2019_Sun_Chemosphere_PM2.5 Growth Processes.pdf62. S.K. Sahu, H. Zhang, H. Guo, J. Hu, Q. Ying, S.H. Kota*. Health risk associated with potential source regions of PM2.5in Indian cities. Air Quality, Atmosphere & Health, https://doi.org/10.1007/s11869-019-00661-4, 2019 .2019_Sahu_AQAH_Health Risk Associated With PM2.5 Source Regions in Indian Cities.pdf61. J. Wang, D. Liu, X. Ge*, Y. Wu, F. Shen, M. Chen, J. Zhao, C. Xie, Q. Wang, W. Xu, J. Zhang, J. Hu, J. Allan, R. Joshi, P. Fu, H. Coe, Y. Sun. Characterization of black carbon-containing fine particles in Beijing during wintertime. Atmos. Chem. Phys., 19, 447–458, 2019.2019_Wang_acp-BC Beijing Winter.pdf60. X. Li#, L. Huang, J. Li, Z. Shi#, Y. Wang#, H. Zhang, Q. Ying, X. Yu, H. Liao, J. Hu*. Source contributions to poor atmospheric visibility in China. Resources, Conservation & Recycling, 143: 167–177, 2019.2019_RCR_Visibility-SA.pdf59. X. Liu#, D. Nie, K. Zhang, Z. Wang#, X. Li#, Z. Shi#, Y. Wang#, L. Huang, M. Chen, X. Ge, Q. Ying, X. Yu, X. Liu, J. Hu*. Evaluation of particulate matter deposition in the human respiratory tract during winter in Nanjing using size and chemically resolved ambient measurements. Air Quality, Atmosphere & Health, https://doi.org/10.1007/s11869-019-00663-2, 2019.2019_Liu_AQAH_Evaluation PM Deposition in human respiratory tract.pdf58. K. Chen, H. Guo, J. Hu, S. Kota, W. Deng, Q. Ying, L. Myllyvirta, S. Dahiya, H. Zhang*. Projected air quality and health benefits from future policy interventions in India. Resources, Conservation & Recycling, 142: 232–244, 2019.2019-Chen-RCR-future AQ in Inida.pdf57. H. Zhang*, H. Guo, J. Hu, Q. Ying*, M.J. Kleeman. Modeling Atmospheric Age Distribution of Elemental Carbon Using a Regional Age-Resolved Particle Representation Framework. Environ. Sci. Technol., 53, 270-278, 2019.2019_Zhang_EST-Modeling Age Distribution of EC.pdf56. X. Yu*, L. Shen, S. Xiao, J. Ma, R. Lv, B. Zhu, J. Hu, K. Chen, J. Zhu. Chemical and Optical Properties of Atmospheric Aerosols during the Polluted Periods in a Megacity in the Yangtze River Delta, China. Aerosol and Air Quality Research, 19: 103–117, 2019.2019_Yu_AAQR_Chemical and Optical Preperties of Atmospheric Aerosols.pdf201855. H. Guo, S.H. Kota, K. Chen, S.K. Sahu, J. Hu, Q. Ying, Y. Wang, H. Zhang*. Source contributions and potential reductions to health effects of particulate matter in India. Atmos. Chem. Phys., 18, 15219–15229, 2018.2018_Guo-acp-InidaHealth.pdf54. M. Gao*, G. Beig, S. Song, H. Zhang, J. Hu, Q. Ying, F. Liang, Y. Liu, H. Wang, X. Lu, T. Zhu, G.R. Carmichael, C.P. Nielsen, M.B. McElroy. The impact of power generation emissions on ambient PM2.5 pollution and human health in China and India. Environment International, 121, 250-259.2018_GaoMeng_EI_Power Emissions on PM2.5 and health in China and India.pdf53. Y. Wang#, Y. Zu#, L. Huang, H. Zhang*, C. Wang, J. Hu*. Associations between daily outpatient visits for respiratory diseases and ambient fine particulate matter and ozone levels in Shanghai, China. Environmental Pollution, 240 (2018), 754-7632018_EP_Shanghai Respiratory.pdf52. Y. Zhu#, L. Huang, J. Li, Q. Ying, H. Zhang, X. Liu, H. Liao, N. Li, Z. Liu, Y. Mao, H. Fang, J. Hu*. Sources of particulate matter in China: Insights from source apportionment studies published in 1987–2017. Environment International, 115 (2018), 343-3572018_EI_China SA Review.pdf51. P. Wang, Q. Ying*, H. Zhang, J. Hu, Y. Lin, H. Mao, Source apportionment of secondary organic aerosol in China using a regional source-oriented chemical transport model and two emission inventories. Environmental Pollution, 237 (2018), 756-7662018_Wang_SOA Source Apportionment.pdf50. D. Nie, M. Chen*, Y. Wu*, X. Ge, J. Hu, K. Zhang, P. Ge. Characterization of Fine Particulate Matter and Associated Health Burden in Nanjing. Int. J. Environ. Res. Public Health 2018, 15, 602; doi:10.3390/ijerph150406022018_Nie_ijerph-PM2.5 Health Burden in Nanjing.pdf49. S.H. Kota, H. Guo, L. Myllyvirtad, J. Hu, S.K. Sahu,R. Garaga, Q. Ying, A. Gao, S. Dahiya, Y. Wang, H. Zhang*. Year-long sim ulation of gaseous and particulate air pollutants in India. Atmospheric Environment, 180 (2018) 244–255.2018_Kota_AE_AQ Modeling in India.pdf48. Q. Ying*, M. Feng, D. Song, L. Wu, J. Hu, H. Zhang, M.J. Kleeman, X. Li#, Improve regional distribution and source apportionment of PM 2.5 trace elements in China using inventory-observation constrained emission factors, Science of the Total Environment, 624, 355-365. DOI: 10.1016/j.scitotenv.2017.12.138 2018_Ying_STE_TraceElements SA.pdf47. X. Qiao, Q. Ying*, X. Li, H. Zhang, J. Hu, Y. Tang, X. Chen, Source apportionment of PM2.5 for 25 Chinese Provincial capitals and municipalities using a source-oriented community multiscale air quality model. Science of The Total Environment, 612, 462-471.2018_Qiao_STE_PM2.5 SA in 25 provincial capitals.pdf46. Y. Xu, Q. Ying, J. Hu, Y. Gao, Y. Yang, D. Wang, H. Zhang*. Spatial and temporal variations in criteria air pollutants in three typical terrain regions in Shaanxi, China, during 2015. Air Qual Atmos Health (2018) 11:95–109.2018_Xu_AQAH_ShaanxiCriteriaAirPollutants.pdf201745. Q. Chen*, T.-M. Fu*, J. Hu*, Q. Ying, and L. Zhang, Modeling secondary organic aerosol in China, National Science review, nwx143, https://doi.org/10.1093/nsr/nwx143 2017_NSR_SOAmodeling.pdf44. J. Wang, Q. Zhang, M. Chen, S. Collier, S. Zhou, X. Ge*, J. Xu, J. Shi, C. Xie, J. Hu, S. Ge, Y. Sun, and H. Coe, First chemical characterization of refractory black carbon aerosols and associated coatings over the Tibetan Plateau (4730 m a.s.l). Environ. Sci. Technol., DOI: 10.1021/acs.est.7b039732017_Wang_EST_BC coating Tibet.pdf 43. J. Hu, X. Li#, L Huang, Q. Ying, Q. Zhang, B. Zhao, S. Wang, H Zhang*, Ensemble prediction of air quality using the WRF/CMAQ model system for health effect studies in China. Atmos. Chem. Phys., 17, 13103-131182017_acp-17-13103_Ensemble.pdf42. J. Hu, L. Huang, M. Chen, H. Zhang, S. Wang, Q. Zhang, Q. Ying*, Premature Mortality Attributable to Particulate Matter in China: Source Contributions and Responses to Reductions, Environ. Sci. Technol., 51 (17), pp 9950–9959.2017_EST_PrematureMortality.pdf41. H. Guo, S.H. Kota, S.K. Sahu, J. Hu, Q. Ying, A. Gao, H. Zhang*, Source apportionment of PM2.5 in North India using source-oriented air quality models. Environmental Pollution, 231, 426-436.2017_Guo_EnvPol_IndiaSA7.pdf40. J. Sun#, L. Huang, H. Liao, J. Li, J. Hu*, Impacts of Regional Transport on Particulate Matter Pollution in China: a Review of Methods and Results. Current Pollution Reports, 3,182-191.2017_CPR_TransportReview.pdf39. J. Hu, P. Wang, Q. Ying*, H. Zhang, J. Chen, X. Ge, X. Li, J. Jiang, S. Wang, J. Zhang, Y. Zhao, Y. Zhang, Modeling Biogenic and Anthropogenic Secondary Organic Aerosol in China. Atmos. Chem. Phys., 17, 77-92.2017_acp-17-77_BSOA.pdf38. J. Hu*, S. Jathar, H. Zhang, Q. Ying, S.H. Chen, C.D. Cappa, M.J. Kleeman*, Long-term particulate matter modeling for health effect studies in California–Part 2: Concentrations and sources of ultrafine organic aerosols. Atmos. Chem. Phys., 17 (8), 5379-53912017_acp-17-5379_CA_PM0.1OA.pdf37. J. Hu, L. Huang, M. Chen, G. He, H. Zhang*. Impacts of Power Generation on Air Quality in China - Part II: Future Scenarios. Resources, Conservation, Recycling. 121, 115-127.2017_RCR_power2.pdf36. Z. Shi#, J. Li, L. Huang, P.Wang, L. Wu, Q. Ying*, H. Zhang*, L. Lu, X. Liu, H. Liao, J. Hu*, Source apportionment of fine particulate matter in China in 2013 using a source-oriented chemical transport model. Science of The Total Environment 601-602, 1476-1487.2017_STotEnv_PM2.5SourceApportionment.pdf35. Y. Zu#, L. Huang, J. Hu*, Z. Zhao, H. Liu, H. Zhang, Q. Ying, M. Chen*, Investigation of relationships between meteorological conditions and high PM10 pollution in a megacity in the western Yangtze River Delta, China. Air Quality, Atmosphere & Health, 1-122017_AQAH_NanjingPM10.pdf34. Y. Xu, J. Hu, Q. Ying, H. Hao, D. Wang, H. Zhang*, Current and future emissions of primary pollutants from coal-fired power plants in Shaanxi, China. Science of The Total Environment 595, 505-5142017_Xu_STE_PowerEmis.pdf33. L. Huang, J. Hu, M. Chen, H. Zhang*. Impacts of Power Generation on Air Quality in China - Part I: An Overview. Resources, Conservation, Recycling. 121, 103-114.2017_Huang_RCR_PowerPartI.pdf32. F. Shen, X. Ge*, J. Hu, D. Nie, L. Tian, M. Chen, Air pollution characteristics and health risks in Henan Province, China. Environmental Research, 156, 625-6342017_ER_Henan.pdf31. Y. Qiu, H. Liao*, R. Zhang, J. Hu, Simulated impacts of direct radiative effects of scattering and absorbing aerosols on surface‐layer aerosol concentrations in China during a heavily polluted event in February 2014. Journal of Geophysical Research: Atmospheres2017_Qiu_JGR_DRF.pdf201630. J. Hu, J. Chen, Q. Ying*, H. Zhang*. 2016. One-Year Simulation of Ozone and Particulate Matter in China Using WRF/CMAQ Modeling System. Atmos. Chem. Phys., 2016, 16, 10333-10350.2016_acp-16-10333-CMAQ.pdf29. L. Huang, M. Chen, J. Hu*. 2016. Twelve-Year Trends of PM10 and Visibility in the Hefei Metropolitan Area of China. Advances in Meteorology, volume 2016, Article ID 4810796, http://dx.doi.org/10.1155/2016/4810796.2016_AdvMet_Hefei.pdf28. Laurent, J. Hu, L. Li, M.J. Kleeman, S. Bartella, M. Cockburn, L. Escobedo, J Wu*. 2016. Low birth weight and air pollution in California: which sources and components drive the risk? Environmental International, 92, 471-477.2016_Laurent_EI_LowBirthWeight.pdf27. M. Wang, P. Sampson*, J. Hu, M.J. Kleeman, J. Keller, C. Olives, A. Szpiro, S. Vedal, J. Kaufman. 2016. Combining Land-Use Regression and Chemical Transport Modeling in a Spatio-temporal Geostatistical Model for Ozone and PM2.5. Environ. Sci. Technol., 50(10),5111-5118.2016_Wang_EST_LUR-CTM.pdf26. Laurent, J. Hu, L. Li, M.J. Kleeman, S.M. Bartell, M. Cockburn, L. Escobedo, J. Wu*. 2016. A statewide Nested Case-Control Study of Preterm Birth and Air Pollution by Source and Composition: California, 2001–2008. Environmental Health Perspectives. http://dx.doi.org/10.1289/ehp.15101332016_Laurent_EHP_PretermBirth.pdf201525. J. Hu, L. Wu, B. Zheng, Q. Zhang, K. He, Q. Chang, X. Li, F. Yang, Q. Ying, H. Zhang*. 2015. Source contributions and regional transport of primary particulate matter in China. Environmental Pollution, 207: 31-42.2015_EP_PPMSources.pdf24. J. Hu, Q. Ying, Y. Wang, H. Zhang*. 2015. Characterizing Multi-Pollutant Air Pollution in China: Comparison of Three Air Quality Indices. Environmental International, 84:17-25.2015_EI_AQI.pdf23. X. Qiao, S. H. Kota, J. Li, J. Hu, H. Zhang, Y. Tang*, Q. Ying*. 2015. Modeling Dry and Wet Deposition of Sulfate, Nitrate and Ammonium Ion in Jiuzhaigou National Nature Reserve, China using a Source-Oriented CMAQ Model: Part II. Source Sector and Source Region Contributions. Science of the Total Environment, http://dx.doi.org/10.1016/j.scitotenv.2015.05.1072015_STE_Deposition_partII.pdf22. X. Qiao, Y. Tang*, J. Hu, S. Zhang, J. Li, S.H. Kota, L. Wu, H. Gao, H. Zhang, Q. Ying*. 2015. Modeling dry and wet deposition of sulfate, nitrate, and ammonium ions in Jiuzhaigou National Nature Reserve, China using a source-oriented CMAQ model: Part I. Base case model results, Science of the Total Environment, http://dx.doi.org/10.1016/j.scitotenv.2015.05.1082015_STE_Deposition_partI.pdf21. B. Ostro*, J. Hu, D. Goldberg, P. Reynolds, A. Hertz, L. Bernstein, and M.J. Kleeman. 2015. Associations of mortality with long-term exposures to fine and ultrafine particles, species and sources: Results from the California Teachers Study Cohort, Environmental Health Perspectives, 123(6), 549-556, DOI:10.1289/ehp.14085652015_Ostro_EHP.pdf20. J. Hu, H. Zhang, Q. Ying, S. Chen, F. Vandenberghe, and M.J. Kleeman*. 2015. Long Term Particulate Matter Modeling for Health Effects Studies in California – Part I: Model Performance on Temporal and Spatial Variations, Atmos. Chem. Phys., 15, 3445-3461.2015_acp-15-3445.pdf19. H. Zhang, Y. Wang*, J. Hu, Q. Ying, X.-M. Hu. 2015. Relationships between meteorological parameters and criteria air pollutants in three megacities in China, Environmental Research, 140, 242-254.2015_ER_MetParameters.pdf201418. J. Hu, H. Zhang, S. Chen, C. Wiedinmyer, F. Vandenberghe , Q. Ying, and M.J. Kleeman*. 2014. Predicting Primary PM2.5 and PM0.1 Trace Composition for Epidemiological Studies in California, Environ. Sci. Technol., 48(9): 4971-4979.2014_EST_PrimaryPM1.pdf17. J. Hu, H. Zhang, S. Chen, C. Wiedinmyer, F. Vandenberghe, Q. Ying, and M.J. Kleeman*. 2014. Identifying Primary PM2.5 and PM0.1 Sources for Epidemiological Studies in California. Environ. Sci. Technol., 48(9),pp 4980-4990.2014_EST_PrimaryPM2.pdf16. J. Hu, Y. Wang, Q. Ying, H. Zhang*. 2014. Spatial and Temporal Variability of Fine and Coarse Particulate Matter in the North China Plain and the Yangtze River Delta, China, Atmospheric Environment, 95:598-609.2014_AE_NCP-YRD_PM25.pdf15. Y. Wang, Q. Ying, J. Hu*, H. Zhang*. 2014. Spatial and Temporal Variation of Six Criteria Air Pollutants in 31 Provincial Capital Cities in China during 2013-2014, Environmental International, 73, 413-422.2014_EnvInt_6CriteriaPollutants.pdf14. Laurent, J. Hu, L. Li, M. Cockburn, L. Escobedo, M.J. Kleeman, J. Wu*. 2014. Sources and contents of air pollution affecting term low birth weight in Los Angeles County, California, 2001-2008, Environmental Research, DOI: 10.1016/j.envres.2014.05.0032014_low birth weight Los Angeles.pdf13. X.-M. Hu*, Z. Ma*, W. Lin, H. Zhang, J. Hu, Y. Wang, X. Xu, J.D. Fuentes. 2014, Impact of the Loess Plateau on the atmospheric boundary layer structure and air quality in the North China Plain: A case study, Science of the Total Environment, 499:228-237. http://dx.doi.org/10.1016/j.scitotenv.2014.08.0532014_boundary layer structure and air quality in the NCP.pdf12. D. Wang, J. Hu, Y. Xu, D. Lv, X. Xie, M.J. Kleeman, J. Xing, H. Zhang*, Q. Ying*. 2014. Source Contributions to Primary and Secondary Inorganic Particulate Matter during a Severe Wintertime PM2.5 Pollution Episode in Xi’an, China, Atmospheric Environment, DOI: 10.1016/j.atmosenv.2014.08.020.2014_Sources in Xi'an, China.pdf11. H. Zhang, J. Hu, M.J. Kleeman, Q. Ying*. 2014. 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Kleeman*, 2012. Resolving the Interactions Between Population Density and Air Pollution Emissions Controls in the San Joaquin Valley, USA, Journal of the Air &Waste Management Association, 62:5, 566-575.2012_Interactions population density and air pollution in SJV.pdf6. J. Hu, Q. Ying, J. Chen, A. Mahmud, Z. Zhao, S. Chen, M.J. Kleeman*, 2010. Particulate Air Quality Model Predictions Using Prognostic vs. Diagnostic Meteorology in Central California, Atmospheric Environment, 44, 215-226.2010_AE_PrognosticMet.pdf5. Mahmud, M. Hixson, J. Hu, Z. Zhao, S. Chen, M. J. Kleeman*, 2010. Climate Impact on Airborne Particulate Matter Concentrations in California Using Seven Year Analysis Periods, Atmos. Chem. Phys., 2010. 10(22): 11097-11114.2010_acp_Climate impact in California using seven year analysis periods.pdf4. M. Hixson, A. Mahmud, J. Hu, S. Bai, D.A. Niemeier, S.L. Handy, S. Gao, J.R. Lund, D.C. Sullivan, M.J. Kleeman*, 2010. Influence of Regional Development Policies and Clean Technology Adoption on Future Air Pollution Exposure. Atmospheric Environment, 44, 552-562.2010_Influence of regional development policies and clean technology adoption on future air pollution exposure.pdf3. S. Wu, J. Hu, Y. Zhang*, V.P. Aneja, 2008. Modeling Atmospheric Transport and Fate of Ammonia in North Carolina -- Part II: Effect of Ammonia Emissions on Fine Particulate Matter Formation, Atmospheric Environment, 42, 3437-3451.2008_Modeling atmospheric transport and fate of ammonia in North Carolina.pdf2. 刘峰*,张远航,苏杭,胡建林, 2007. 大气化学传输模式CAMx的伴随模式:构建及应用[J]. 北京大学学报(自然科学版). 43:6, 764-770.2007_大气化学传输模式CAMx的伴随模式_构建及应用.pdf1. 胡建林,张远航*,2005. 长江三角洲地区臭氧生成过程分析[J]. 环境科学研究. 18(2):13-18.2005_长江三角洲地区臭氧生成过程分析.pdf近期科研项目:在研项目:1. 2021.1-2023.12,国家自然基金面上项目(41975162),“气溶胶来源与老化分辨的大气化学-气象耦合模式开发与应用”,项目负责人2. 2017.1-2020.12,国家自然基金面上项目(41675125),“基于源导向空气质量模型的长三角地区精细化颗粒物暴露评估研究”,项目负责人3. 2016.8-2019.7,国家科技部重点研发计划“大气污染成因与控制技术研究”重点专项(2016YFC0203500),“气溶胶混合状态与形态对大气化学-气象反馈过程的影响研究(青年项目)”,项目负责人4. 2019.7-2021.7,江苏省PM2.5与臭氧污染协同控制重大专项课题,参与5. 2016.1-2019.12,国家自然科学基金重大研究计划(91544220),“液相氧化二次有机气溶胶生成机制及其对长三角雾霾生消与空气质量的影响”,子课题负责人6. 2017.10-2019.7,江苏省环保科研课题(2017003)“臭氧前体物排放特征与控制对策研究”,参与7. 2018.1-2018.12,南京市环保局,“南京市大气环境质量达标可行性研究(臭氧)”,参与完成项目:1. 2016,江苏省科技厅,“重污染天气分型及预警指标体系研究”2. 2017,南京市环保局,“南京市空气质量(PM2.5)达标规划研究”3. 2018,南京市环科院,“南京市不同管控情景下空气质量改善分析”4. 2018,江苏省自然科学基金,“长江三角洲地区大气颗粒物暴露来源的数值模拟研究”5. 2018,江苏省自然科学基金,“南京市大气中VOCs的来源量化及臭氧生成作用研究”6. 2019,中国清洁发展机制基金赠款项目,“大气污染防治行动计划对二氧化碳排放的影响研究”7. 2019,南京市环科院,“南京市大气污染物排放清单评估校验”

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