Liumin

Dr. Min Liu is an Professor of School of Ecological and Enviromental Sciences at East China Normal University. Her research interests include urban ecology, ecological informatics, and remote sensing of eco-environment. She is mainly engaged in the research of urban landscape pattern evolution and ecological environment effect, climate change and atmospheric environment, ecological environment remote sensing and geographic information system (GIS) application, etc. Her researches were supported by the National Natural Science Foundation of China, the Shanghai Natural Science Foundation and the environmental protection public welfare industry. By now, she has  published more than 80 academic papers.

AREA OF INTEREST

• Urban ecology

• Ecological informatics

• Remote sensing of ecological environment

More specifically, I am interested in taking cities as the natural laboratory for global change research, to study the eco-environmental effects of urbanization, the impact of urbanization development on regional climate change, and the identification and characterization of ecological and environmental situation based on satellite remote sensing monitoring.

ž   2021-now   3S Technique and Spatial Analysis in Ecology

ž   2015-now   Principle and Methods of Ecological Informatics

ž   2016-2022  Introduction and Application of GIS

ž   2014-2020  Programming with MATLAB

ž   2014-2017  Global Change and human environment

ž   2017-now   Remote sensing of Ecological Environment

Principal Investigator

Co-Investigator and Participate

PUBLICATIONS

Corresponding author indicated with an asterisk

1.     Gao, C., Zhang, F., Fang, D., Wang, Q., & Liu, M.* (2023). Spatial characteristics of change trends of air pollutants in Chinese urban areas during 2016–2020: The impact of air pollution controls and the COVID-19 pandemic Atmospheric Research, 283, 1-10(IF=5.965, JCR Q1)

2.      Gao, C., & Liu, M.(*) (2023). The Impact of Local Environment and Neighboring Pollution on the Spatial Variation of Particulate Matter in Chinese Mainland. Atomosphere, 14, 1-15(IF=3.11)

3.      Su, L., Gao, C., Ren, X., Zhang, F., Cao, S., Zhang, S., Chen, T., Liu, M., Ni, B., & Liu, M.* (2022). Understanding the spatial representativeness of air quality monitoring network and its application to PM2.5 in the mainland China. Geoscience Frontiers, 13, 101370(IF=6.853, JCR Q1)

4.      Li,S., Zhang, S., Gao, C., Yang, Y., Huo, J., Wang, Q., Duan, Y. *, &Liu, M.* (2022) Evolution of atmospheric black carbon and effect of model parameters on source apportionment in Shanghai. Air Quality, Atmosphere & Health,04.( IF=3.763, JCR Q2)

5.      Meng, Z.Q., Dong, J.W., Zhai, J., Huang, L., Liu, M., & Ellis, E.C. (2022). Effectiveness in protected areas at resisting development pressures in China. Applied Geography, 141(IF=4.73)

6.      Cao, S., Zhang, S., Gao, C., Yan, Y., Bao, J., Su, L., Liu, M., Peng, N., & Liu, M. * (2021). A long-term analysis of atmospheric black carbon MERRA-2 concentration over China during 1980-2019. Atmospheric Environment, 264( IF=4.798, JCR Q1, Citation= 1)

7.        Chen, S., Yu, Z.*,Liu, M. *, Da, L., & Faiz Ul Hassan, M. (2021). Trends of the contributions of biophysical (climate) and socioeconomic elements to regional heat islands. Scientific Reports, 11, 12696(IF=4.380, JCR Q1, 中科院三区，Citation= 4)

8.        Gao, C., S. Li, Liu, M. *, F. Zhang, V. Achal, Y. Tu, S. Zhang, and C. Cai. 2021. Impact of the COVID-19 pandemic on air pollution in Chinese megacities from the perspective of traffic volume and meteorological factors. Science of the Total Environment 773:1-12. (IF=7.963, JCR Q1, Citation=10)

9.        She, Q., Cao, S., Zhang, S., Zhang, J., Zhu, H., Bao, J., Meng, X., Liu, M.*, & Liu, Y*. (2021). The impacts of comprehensive urbanization on PM2.5 concentrations in the Yangtze River Delta, China. Ecological Indicators, 132, 108337(IF=4.958, JCR Q1)

10.     Zhu, W., Sun, J., Yang, C., Liu, M., Xu, X., & Ji, C. (2021). How to measure the urban park cooling island? A perspective of absolute and relative indicators using remote sensing and buffer analysis. Remote Sensing, 13, 3154( IF=4.848, JCR Q1, Citation=1)

11.     She, Q., Choi, M., H.Belle, J., Xiao, Q., Zhao B, J., Huang, K., Meng, X., Geng, G., Kim, J., He, K., Liu, M. * & Liu, Y.* (2020). Satellite-based estimation of hourly PM2.5 levels during heavy winter pollution episodes in the Yangtze River Delta, China. Chemosphere, 239, 1-12( IF=7.086, JCR Q1, Citation=15)

12.     Meng, Z.,Liu, M.*, Gao, C., Zhang, Y., She, Q., Long, L., Tua, Y., & Yang, Y. (2020). Greening and browning of the coastal areas in mainland China: Spatial heterogeneity, seasonal variation and its influential factors. Ecological Indicators,110, 1-13(IF=4.958, JCR Q1, Citation=5)

13.     Peng, X., Liu, M.*, Zhang, Y., Meng, Z., Achal, V., Zhou, T., Long, L., & She, Q. (2019). The characteristics and local-regional contributions of atmospheric black carbon over urban and suburban locations in Shanghai, China. Environmental Pollution, 225, 1-12(IF=8.071, JCR Q1, Citation=9)

14.     Liu, M.*, Peng, X., Meng, Z., Zhou, T., Long, L., & She, Q. (2019). Spatial characteristics and determinants of in-traffic black carbon in Shanghai, China: combination of mobile monitoring and land use regression model. Science of the Total Environment, 658, 51-61(IF=7.963, JCR Q1, Citation=24)

15.     Liu, M. *, Meng, Z., She, Q., Zhu, X., Wei, N., Peng, X., & Xu1, Q. (2019). Spatial variability and determinants of atmospheric methane concentrations in the metropolitan city of Shanghai, China. Atmospheric Environment, 214( IF=4.798, JCR Q1, Citation=6)

16.     Wang, S.H., Ju, W.M., Penuelas, J., Cescatti, A., Zhou, Y.Y., Fu, Y.S., Huete, A., Liu, M., & Zhang, Y.G. (2019). Urban-rural gradients reveal joint control of elevated CO2 and temperature on extended photosynthetic seasons. Nature Ecology & Evolution, 3, 1076-1085( IF=15.46, JCR Q1, Citation=40)

17.     Meng, Z., Liu, M.*, She, Q., Yang, F., Long, L., Peng, X., Han, J., & Xiang, W. (2018). Spatiotemporal Characteristics of Ecological Conditions and Its Response to Natural Conditions and Human Activities during 1990–2010 in the Yangtze River Delta, China. International Journal of Environmental Research and Public Health, 15, 1-16( IF=3.39, JCR Q1, Citation=1)

18.     Jia, W., Liu, M.*, Wang, D., He, H., Shi, P., Li, Y., & Wang, Y. (2018). Uncertainty in simulating regional gross primary productivity from satellite-based models over northern China grassland. Ecological Indicators, 88, 134-143(IF=4.958, JCR Q1, Citation=14)

19.     Li, C., Wang, J., Liu, M., Ayal, D.Y., Gong, Q., Hu, R., Yin, S., & Yuhai Bao (2018). Scenario-based hazard analysis of extreme high-temperatures experienced between 1959 and 2014 in Hulunbuir, China. International Journal of Climate Change Strategies and Management, DOI: 10.1108/IJCCSM-05-2017-0098 (IF= 2.645 , JCR Q3, Citation=8)

20.     Li, P., Zhang, L., Yu, G.R., Liu, C.Q., Ren, X.L., He, H.L., Liu, M., Wang, H.M., Zhu, J.X., Ge, R., & Zeng, N. (2018). Interactive effects of seasonal drought and nitrogen deposition on carbon fluxes in a subtropical evergreen coniferous forest in the East Asian monsoon region. Agricultural and Forest Meteorology, 263, 90-99( IF=5.734, JCR Q1, Citation=5)

21.     Ren, X.L., He, H.L., Zhang, L., Li, F., Liu, M., Yu, G.R., & Zhang, J.H. (2018). Modeling and uncertainty analysis of carbon and water fluxes in a broad-leaved Korean pine mixed forest based on model-data fusion. Ecological Modelling, 379, 39-53( IF=2.974, JCR Q2, 中科院三区，Citation=8)

22.     Peng, X., She, Q., Long, L., Liu, M.*, Xu, Q., Zhang, J., & Xiang, W. (2017). Long-term trend in ground-based air temperature and its responses to atmospheric circulation and anthropogenic activity in the Yangtze River Delta, China. Atmospheric Research, 195, 20-30( IF= 5.369 , JCR Q1, Citation=17)

23.     She, Q., Peng, X., Xu, Q., Long, L., Wei, N., Liu, M.*, Jia, W., Zhou, T., Han, J., & Xiang, W. (2017). Air quality and its response to satellite-derived urban form in the Yangtze River Delta, China. Ecological Indicators, 75, 297-306(IF=4.958, JCR Q1, Citation=92)

24.     Han, J., Meng, X., Zhou, X., Yi, B., Liu, M., & Xiang, W.-N. (2017). A long-term analysis of urbanization process, landscape change, and carbon sources and sinks: A case study in China's Yangtze River Delta region. Journal of Cleaner Production, 141, 1040-1050(IF=9.297, JCR Q1, Citation=88)

25.     Liu, M.*, Zhu, X., Pan, C., Chen, L., Zhang, H., Jia, W., & Xiang, W. (2016). Spatial variation of near-surface CO2 concentration during spring in Shanghai. Atmospheric Pollution Research.7,31-39(IF=4.352, JCR Q2, Citation=13)

26.     Jia, W., Liu, M.*, Yang, Y., He, H., Zhu, X., Yang, F., Yin, C., & Xiang, W. (2016). Estimation and uncertainty analyses of grassland biomass in Northern China: comparison of multiple remote sensing data sources and modelling approaches. Ecological Indicators, 60, 1031-1040(IF=4.958, JCR Q1, Citation=41)

27.     Pan C., Zhu X., Zhu X., Wei N., Zhu X., She Q., Jia W., Liu, M.*, &Xiang W (2016). Spatial variability of daytime CO2 concentration with landscape structure across urbanization gradients: A study of Shanghai, China. Climate Research. doi: 10.3354/cr01394(IF=1.972, JCR Q4, Citation=11)

28.     Zhang, L., Mao, J., Shi, X., Ricciuto, D., He, H., Thornton, P., Yu, G., Li, P., Liu, M., Ren, X., Han, S., Li, Y., Yan, J., Hao, Y., & Wang, H. (2016). Evaluation of the Community Land Model simulated carbon and water fluxes against observations over ChinaFLUX sites. Agricultural and Forest Meteorology, 226-227, 174-185( IF=5.734, JCR Q1, Citation=22)

29.     Liu, M.*, Wu, J., Xudong, Z., He, H., Jia, W., & Xiang, W. (2015). Evolution and variation of atmospheric carbon dioxide concentration over terrestrial ecosystems as derived from eddy covariance measurements. Atmospheric Environment, 114, 75-82( IF=4.798, JCR Q1, Citation=26)

30.     Liu, M., He, H., Ren, X., Sun, X., Yu, G., Han, S., Wang, H., & Zhou, G. (2015). The effects of constraining variables on parameter optimization in carbon and water flux modeling over different forest ecosystems. Ecological Modelling, 303, 30-41( IF=2.974, JCR Q2, Citation=11)

31.     Yang, F., Liu, M.*, Jia, W., Lin, L., & Xiang, W. (2015). Evaluation of the eco-environmental quality and its index-induced influencing factors in the Yangtze River Delta Urban Agglomeration. Advanced Materials Research, 1073-1076, 1166-1170(EI)

32.     He, H., Liu, M., Xiao, X., Ren, X., Zhang, L., Sun, X., Yang, Y., Li, Y., Zhao, L., Shi, P., Du, M., Ma, Y., Ma, M., Zhang, Y., & Yu*, G. (2014). Large-scale estimation and uncertainty analysis of gross primary production in Tibetan alpine grasslands. Journal of Geophysical Research-Biogeosciences, DOI: 10.1002/2013JG002449 ( IF=3.822, JCR Q2, Citation=41)

33.     Ren, X.L., He, H.L., Moore, D.J.P., Zhang, L., Liu, M., Li, F., Yu, G.R., & Wang, H.M. (2013). Uncertainty analysis of modeled carbon and water fluxes in a subtropical coniferous plantation. Journal of Geophysical Research-Biogeosciences, 118, 1674-1688 (SCI, IF=3.43) ( IF=3.822, JCR Q2, Citation=15)

34.     Gao, Y., Liu, X., Min, C., He, H., Yu, G., Liu, M., Zhu, X., & Wang, Q. (2013). Estimation of the NorthSouth Transect of Eastern China forest biomass using remote sensing and forest inventory data. International Journal of Remote Sensing, 34, 5598-5610(SCI, IF=3.151，JCR Q2, Citation=13)

35.     Lin, L., Liu, M., Luo, F., Wang, K., Zhang, Q. and Xiang, W.-N. (2012) Comment On The Study of Urban Metabolism and Its Applications to Urban Planning and Design By Kennedy Et Al. (2011).Environmental Pollution, doi:10.1016/j.envpol.2012.04.011. (IF=8.071, JCR Q1, Citation=7)

36.     Lin, L., Liu, M.,Luo, F., Wang, K., Zhang, Q., & Xiang, W. (2012). Response to authors’ reply regarding “The study of urban metabolism and its applications to urban planning and design” by Kennedy et al. (2011). Environmental Pollution, doi:10.1016/j.envpol.2012.04. 013. (IF=8.071, JCR Q1, Citation=8)

37.     Liu, M., He, H., Yu, G., Sun, X., Zhang, L., Han, S., Wang, H., & Zhou, G. (2012). Uncertainty analysis in data processing on the estimation of net carbon exchanges at different forest ecosystems in China. Journal of Forest Research，17, 312-322. (IF=1.269, JCR Q3, Citation=13)

38.     Liu, M., He, H.L., Yu, G.R., Luo, Y.Q., Sun, X.M., & Wang, H.M. (2009). Uncertainty analysis of CO2 flux components in subtropical evergreen coniferous plantation. Science in China Series D-Earth Sciences, 52, 257-268.  (IF=4.368, JCR Q1, Citation=22)

39.     He, H.L., Liu, M., Sun, X.M., Zhang, L., Luo, Y.Q., Wang, H.M., Han, S.J., Zhao, X.Q., Shi, P.L., Wang, Y.F., Ouyang, Z., & Yu, G.R. (2010). Uncertainty analysis of eddy flux measurements in typical ecosystems of ChinaFLUX. Ecological Informatics, 5, 492-502.  (IF=3.142, JCR Q2, Citation=19)

40.     Liu, M., He, H.L., Sun, X.M., & Yu, G.R. (2009). Scientific Workflow Approach (Kepler) for Carbon flux data processing. ICICTA: 2009 Second International Conference on Intelligent Computation Technology and Automation, Vol I, Proceedings, 694-697.(EI)

41.     Zhu, X., He, H., Liu, M., Yu, G., Sun, X. and Gao, Y., 2010. Spatio-temporal variation characteristics of photosynthetically active radiation in China in recent 50 years. Journal of Geographical Sciences 20(6): 803-817. (IF=3.534, JCR Q2, Citation=30)

2020       Excellent Party staff, ECNU

2019       Second Prize in the 2^nd undergraduate course design, ECNU

2016       Excellent Teaching Award in School of Ecological and Environmental Sciences, ECNU

2016       Second Prize in The 11^th skills competition of Young Teachers in ECNU

2011       ZhuLiYuehua outstanding doctoral scholarship, Chinese academy of sciences

2010       Merit Student, Chinese academy of sciences

2005       Outstanding Graduates, Hunan Province

2005       Pacemaker to Merit Student, Hunan Province

2004       National Scholarship

2004       Excellent Student Cadre, Hunan Normal University

2002       Outstanding Student Scholarship, Hunan Normal University