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Zhongfan Zhu
Zhongfan Zhu
College of Water Sciences, Beijing Normal University, Beijing, China
Verified email at bnu.edu.cn
Title
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Cited by
Year
Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan
J Dou, AP Yunus, DT Bui, A Merghadi, M Sahana, Z Zhu, CW Chen, ...
Science of the total environment 662, 332-346, 2019
4452019
Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan
J Dou, AP Yunus, DT Bui, A Merghadi, M Sahana, Z Zhu, CW Chen, ...
Landslides 17, 641-658, 2020
3652020
An integrated artificial neural network model for the landslide susceptibility assessment of Osado Island, Japan
J Dou, H Yamagishi, HR Pourghasemi, AP Yunus, X Song, Y Xu, Z Zhu
Natural Hazards 78, 1749-1776, 2015
2432015
Optimization of causative factors for landslide susceptibility evaluation using remote sensing and GIS data in parts of Niigata, Japan
J Dou, D Tien Bui, A P. Yunus, K Jia, X Song, I Revhaug, H Xia, Z Zhu
PloS one 10 (7), e0133262, 2015
2102015
Automatic case-based reasoning approach for landslide detection: Integration of object-oriented image analysis and a genetic algorithm
J Dou, KT Chang, S Chen, AP Yunus, JK Liu, H Xia, Z Zhu
Remote Sensing 7 (4), 4318-4342, 2015
1512015
Evaluating GIS-based multiple statistical models and data mining for earthquake and rainfall-induced landslide susceptibility using the LiDAR DEM
J Dou, AP Yunus, D Tien Bui, M Sahana, CW Chen, Z Zhu, W Wang, ...
Remote Sensing 11 (6), 638, 2019
1372019
Current status of reclaimed water in China: an overview
Z Zhu, J Dou
Journal of Water Reuse and Desalination 8 (3), 293-307, 2018
882018
Torrential rainfall-triggered shallow landslide characteristics and susceptibility assessment using ensemble data-driven models in the Dongjiang Reservoir Watershed, China
J Dou, AP Yunus, Y Xu, Z Zhu, CW Chen, M Sahana, K Khosravi, Y Yang, ...
Natural Hazards 97, 579-609, 2019
642019
Seawater desalination in China: an overview
Z Zhu, D Peng, H Wang
Journal of Water Reuse and Desalination 9 (2), 115-132, 2019
462019
TXT-tool 1.081-6.1 A comparative study of the binary logistic regression (BLR) and artificial neural network (ANN) models for GIS-based spatial predicting landslides at a …
J Dou, H Yamagishi, Z Zhu, AP Yunus, CW Chen
Landslide Dynamics: ISDR-ICL Landslide Interactive Teaching Tools: Volume 1 …, 2018
452018
Fractal dimension of cohesive sediment flocs at steady state under seven shear flow conditions
Z Zhu, J Yu, H Wang, J Dou, C Wang
Water 7 (8), 4385-4408, 2015
282015
Dependence of sediment suspension viscosity on solid concentration: A simple general equation
Z Zhu, H Wang, D Peng
Water 9 (7), 474, 2017
272017
Nitrogen variations during the ice-on season in the eutrophic lakes
T Yang, P Hei, J Song, J Zhang, Z Zhu, Y Zhang, J Yang, C Liu, J Jin, ...
Environmental pollution 247, 1089-1099, 2019
262019
Automatic detection of sinkhole collapses at finer resolutions using a multi-component remote sensing approach
J Dou, X Li, AP Yunus, U Paudel, KT Chang, Z Zhu, HR Pourghasemi
Natural Hazards 78, 1021-1044, 2015
252015
On the flocculation and settling characteristics of low-and high-concentration sediment suspensions: effects of particle concentration and salinity conditions
Z Zhu, X Xiong, C Liang, M Zhao
Environmental Science and Pollution Research 25, 14226-14243, 2018
222018
Public perception and acceptability of reclaimed water: the case of Shandong province, China
Z Zhu, A Li, H Wang
Journal of Water Reuse and Desalination 8 (3), 308-330, 2018
212018
On the kaolinite floc size at the steady state of flocculation in a turbulent flow
Z Zhu, H Wang, J Yu, J Dou
PLoS One 11 (2), e0148895, 2016
202016
我国能源耗水空间特征及其协调发展脱钩分析
洪思扬, 王红瑞, 来文立, 朱中凡
自然资源学报 32 (5), 800-813, 2017
192017
On the factors influencing public knowledge and acceptance of reclaimed water from a survey of three cities in northern China
Z Zhu, H Wang, A Li
Journal of Water Reuse and Desalination 9 (2), 193-202, 2019
162019
Uncertainty assessment of urban hydrological modelling from a multiple objective perspective
B Pang, S Shi, G Zhao, R Shi, D Peng, Z Zhu
Water 12 (5), 1393, 2020
152020
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Articles 1–20