COLLEGE OF WATER SCIENCES,BEIJING NORMAL UNIVERSITY
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ZHU Zhongfan Associate Professor

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Research area:

Hydraulics, Water Resources Management, Sediment Transport

Personal resume

Education Background:  

[1] Sept. 2002- July. 2006  B.S., in School of Environment, China University of Geosciences (Wuhan), China;  Major: Hydrology and Water Resources Engineering

[2] Sept. 2006- July. 2009  Master, in Department of Hydraulic Engineering, Tsinghua University, China;  Major: Hydraulics and River Dynamics

[3] Oct. 2009- Oct. 2012 Ph.D., in Graduate School of Frontier Sciences, University of Tokyo, Japan;  Major: Water Environmental Science


Job experiences:

[1] July. 2013-June. 2019 Lecturer, in College of Water Sciences, Beijing Normal University, China

[2] July. 2019- Present Associate Professor, in College of Water Sciences, Beijing Normal University, China


Scientific research

Papers:  

[1]Zhu, Z., Yu, J., Dou, J., Peng, D. 2019. An expression for velocity lag in sediment-laden open-channel flows based on Tsallis entropy together with the principle of maximum entropy.  Entropy, 21, 522, 1-19. doi:10.3390/e2 1050522

[2]Zhu, Z. 2019. A formula for the settling velocity of cohesive sediment flocs in water. Water Science and Technology: Water Supply, 19(5), 1442-1428, doi: 10.2166/ws. 2019.007

[3]Yang, T.T., Hei, P.F., Song, J.D., Zhang, J., Zhu, Z. Zhang, Y.Y., Yang, J., Liu, C.L., Jin, J., Quan, J. 2019. Nitrogen variations during the ice-on season in the eutrophic lakes. Environmental Pollution, 247, 1089-1099. doi:10.1016/j.envpol.2018.12.088.

[4]Zhu, Z. 2019. A simple sensitivity analysis of the turbulence-induced flocculation model of cohesive sediment. Water Science and Technology, 79(6), 1144-1151. doi: 10.2166/wst.2019.112

[5]Zhu, Z., Wang, H., Peng, D., Dou, J. 2019. Modelling the hindered settling velocity of a falling particle in a particle-fluid mixture by the Tsallis entropy theory. Entropy, 21, 1-15. doi:10.3390/e21010055

[6]Dou, J., Yunus, A.P., Tien Bui, D., Merghadi, A., Sahana, M., Zhu, Z., Chen, C.W., Khosravi, K., Yang, Y., Pham, B.T., 2019. Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan. Science of the Total Environment, 662, 332-346. doi: 10.1016/j.scitotenv.2019.01.221.

[7]Zhu, Z., Yu, J. 2019. Estimating the bed-load layer thickness in open channels by Tsallis entropy. Entropy, 21(123), 1-15. doi:10.3390/e21020123

[8]Gong, S., Wang, H., Zhu, Z., Bai, Q., Wang, C. 2019. Comprehensive utilization of seawater in China: A description of the present situation, restrictive factors and potential countermeasures. Water, 11, 397. doi:10.3390/ w11020397

[9]Dou, J., Yunus, A.P., Xu, Y.R., Zhu, Z., Chen, C.W., Sahana, M., Yang, Y., Pham, B.T., Khosravi, K. 2019. Torrential rainfall-triggered shallow landslide characteristics and susceptibility assessment using ensemble data-driven models in the Dongjiang reservoir watershed, China. Natural Hazards, 97(2), 579-609. doi: 10.1007/ s110 69-019-03659-4

[10]Zhu, Z., Wang, H., Pang, B, Dou, J, Peng, D. 2019. Comparison of conventional deterministic and the entropy-based methods for predicting sediment concentration in debris flow. Water, 11, 1-16. doi:10.3390/ w11030439

[11]Dou, J., Yunus, A.P., Tien Bui, D., Sahana, M., Chen, C.-W., Zhu, Z., Wang, W., Pham, B.T. 2019. Evaluating GIS-based multiple statistical models and data mining for earthquake and rainfall-induced landslide susceptibility using the LiDAR DEM. Remote Sensing, 11, 638, 1-30. doi: 10.3390/rs11060638

[12]Zhu, Z., Wang, H., Li, A. 2018. On the factors influencing public knowledge and acceptance of reclaimed water from a survey of three cities in Northern China. Journal of Water Reuse and Desalination, 9(2), 193-202. doi: 10.2166/wrd.2018.049

[13]Zhu, Z., Peng, D., Wang, H. 2018. Seawater desalination in China: An overview. Journal of Water Reuse and Desalination, 9(2), 115-132. doi: 10.2166/wrd.2018.034

[14]Zhu, Z., Li, F. 2018. A simple laboratory experiment of the hindered settling process of high-concentration sediment suspension. Water Science and Technology: Water Supply, 19(4), 1144-1151. doi: 10.2166/ws.2018.170

[15]Zhu, Z., Xiong, X., Liang, C., Zhao, M. 2018. On the flocculation and settling characteristics of low- and high-concentration sediment suspensions: Effects of particle concentration and salinity conditions. Environmental Science and Pollution Research, 25(14), 14226-14243. doi: 10.1007/s11356-018-1668-0

[16]Dou, J., Yamagishi, H., Zhu, Z., Yunus, A.P., Chen, C.W. 2018. A comparative study of the binary logistic regression and artificial neural network models for GIS-based spatial predicting landslides at a regional scale, Sassa, K. et al. (Eds) Landslide dynamics: ISDR-ICL Landslide Interactive Teaching Tools. 139-152. Tokyo, Springer, ISBN 978-3-319-57773-9. doi: 10.1007/978-3-319-57774-6-10

[17]Zhu, Z. 2018. A simple explicit expression for the flocculation dynamics modelling of cohesive sediment based on entropy considerations. Entropy, 20, 1-20. doi:10.3390/e20110845

[18]Zhu, Z., Wang, H., Peng, D. 2017. Dependence of sediment suspension viscosity on solid concentration: A simple general equation. Water, 9, 474. doi:10.3390/w9070474

[19]Zhu, Z., Li, A., Wang, H.  2017. Public perception and acceptability of reclaimed water: The case of Shandong province, China. Journal of Water Reuse and Desalination, 8(3), 308-330. doi: 10.2166/wrd.2017.022

[20]Dou, J., Yamagishi, H., Xu, Y., Zhu, Z., Yunus, A.P. 2017. Characteristics of the torrential rainfall-induced shallow landslide by typhoon bilis, in July 2006, using remote sensing and GIS, in Yamagishi, H., Bhandary, N.P. (Eds), GIS-Landslide, 221-230, Tokyo, Springer, ISBN 978-4-431-54390-9. doi: 10.1007/978-4-431-54391-6

[21]Zhu, Z., Dou, J. 2017. Current status of reclaimed water in China: An overview. Journal of Water Reuse and Desalination, 8(3), 293-307. doi: 10.2166/wrd.2018.070

[22]Dou, J., Li, X, Yunus, A.P., Paudel, U., Chang, K.T., Zhu, Z., Pourghasemi, H. R 2015. Automatic detection of sinkhole collapses at finer resolutions using a multi-component remote sensing approach. Natural Hazards, 78(2), 1021-1044. doi: 10.1007/s11069-015-1756-0

[23]Dou, J., Yamagishi, H., Pourghasemi, H. R., Yunus, A.P., Song, X., Xu, Y., Zhu, Z. 2015. An integrated artificial neural network model for the landslide susceptibility assessment of Osado Island, Japan. Natural Hazards, 78(3), 1749-1776. doi: 10.1007/s11069-015-1799-2

[24]Zhu, Z., Yu, J., Wang, H., Dou, J, Wang, C. 2015. Fractal dimension of cohesive sediment flocs at steady state under seven shear flow conditions. Water, 7, 4385-4408. doi: 10.33 90 /w7084385

[25]Dou, J., Chang, K.T., Chen, S., Yunus, A.P., Liu, J.K., Xia, H., Zhu, Z. 2015. Automatic case-based reasoning approach for landslide detection: integration of object-oriented image analysis and a genetic algorithm. Remote Sensing, 7(4), 4318-4342. doi: 10.3390/rs70404318

[26]Dou, J., Bui, D.T., Yunus, A.P., Jia, K., Song, X., Revhaug, I., Xia, H., Zhu, Z. 2015. Optimization of causative factors for landslide susceptibility evaluation using remote sensing and GIS data in parts of Niigata, Japan. PLOS One, 10(7):e0133262.  doi: 10.1371/journal.pone.0133262

[27]Zhu, Z. 2014. Theory on orthokinetic flocculation of cohesive sediment: A review. Journal of Geoscience and Environment Protection, 2(5), 13-23. doi: 10.4236/gep.2014.25003

[28]Zhu, Z., Yu, J.  2014. Estimating the occurrence of wind-driven coastal upwelling associated with "Aoshio" on the northeast shore of Tokyo Bay, Japan: An analytical model. The Scientific World Journal, 2014, Article ID 769823, 1-11. doi:10.1155/2014/769823

[29]Zhu, Z.,  Isobe, M. 2012. Criteria for the occurrence of wind-driven coastal upwelling associated with "Aoshio" on the southeast shore of Tokyo Bay. Journal of Oceanography, 68(4),561-574.doi:1007/s10872-012-0119-7


Teaching experience

[1] Class for graduate student: Mathematical Principles in Water Sciences, worked with Prof. Hongrui Wang

[2] Class for graduate student: Introduction to River Dynamics, worked with Assoc. Prof. Dingzhi Peng

Social service

[1]Instructor for master student in College of Water Sciences, Beijing Normal University, China, During 2013-2016.

[2] Members for AGU, JSCE and IAHR

[3]Reviewers for some international journals, including Scientific Report, IEEE access, Environmental Research, Environmental Technology, Particulate Science and Technology, Colloid and Polymer Science, Sustainability, Journal of Lakes Sciences (in Chinese),Journal of HuazhongUnversity of Science and Technology (Natural Science Edition) (in Chinese),Journal of Jilin University (Science Edition) (in Chinese), etc.

Honorary award

[1] Excellent instructor for Beijing Normal University, China in 2015

[2] The class “Mathematical Principles in Water Sciences” was elected to be “Excellent class for graduate student in Beijing Normal University, China” during Autumn semester of 2014-2015

[3] Awarded “Japanese Scholarship Program for Asian Development Bank” (ADB-JSP) (Manila, Philippines)during 2009-2011

Others