Dawei Han
Cited by
Cited by
Twenty-three unsolved problems in hydrology (UPH)–a community perspective
G Blöschl, MFP Bierkens, A Chambel, C Cudennec, G Destouni, A Fiori, ...
Hydrological sciences journal 64 (10), 1141-1158, 2019
Selection of classification techniques for land use/land cover change investigation
PK Srivastava, D Han, MA Rico-Ramirez, M Bray, T Islam
Advances in Space Research 50 (9), 1250-1265, 2012
Assessment of input variables determination on the SVM model performance using PCA, Gamma test, and forward selection techniques for monthly stream flow prediction
R Noori, AR Karbassi, A Moghaddamnia, D Han, MH Zokaei-Ashtiani, ...
Journal of hydrology 401 (3-4), 177-189, 2011
Machine learning techniques for downscaling SMOS satellite soil moisture using MODIS land surface temperature for hydrological application
PK Srivastava, D Han, MR Ramirez, T Islam
Water resources management 27, 3127-3144, 2013
Identification of support vector machines for runoff modelling
M Bray, D Han
Journal of Hydroinformatics 6 (4), 265-280, 2004
Flood forecasting using support vector machines
D Han, L Chan, N Zhu
Journal of hydroinformatics 9 (4), 267-276, 2007
Water quality monitoring in smart city: A pilot project
Y Chen, D Han
Automation in Construction 89, 307-316, 2018
Assessment of flood inundation mapping of Surat city by coupled 1D/2D hydrodynamic modeling: a case application of the new HEC-RAS 5
DP Patel, JA Ramirez, PK Srivastava, M Bray, D Han
Natural Hazards 89, 93-130, 2017
Comparison of LLR, MLP, Elman, NNARX and ANFIS Models—with a case study in solar radiation estimation
A Moghaddamnia, R Remesan, MH Kashani, M Mohammadi, D Han, ...
Journal of Atmospheric and Solar-Terrestrial Physics 71 (8-9), 975-982, 2009
Most computational hydrology is not reproducible, so is it really science?
C Hutton, T Wagener, J Freer, D Han, C Duffy, B Arheimer
Water Resources Research 52 (10), 7548-7555, 2016
Modeling groundwater quality over a humid subtropical region using numerical indices, earth observation datasets, and X-ray diffraction technique: a case study of Allahabad …
SK Singh, PK Srivastava, D Singh, D Han, SK Gautam, AC Pandey
Environmental geochemistry and health 37, 157-180, 2015
Uncertainties in real‐time flood forecasting with neural networks
D Han, T Kwong, S Li
Hydrological Processes: An International Journal 21 (2), 223-228, 2007
Daily pan evaporation modeling in a hot and dry climate
J Piri, S Amin, A Moghaddamnia, A Keshavarz, D Han, R Remesan
Journal of Hydrologic Engineering 14 (8), 803-811, 2009
Runoff prediction using an integrated hybrid modelling scheme
R Remesan, MA Shamim, D Han, J Mathew
Journal of Hydrology 372 (1-4), 48-60, 2009
Model data selection using gamma test for daily solar radiation estimation
R Remesan, MA Shamim, D Han
Hydrological processes 22 (21), 4301-4309, 2008
Artificial intelligence techniques for clutter identification with polarimetric radar signatures
T Islam, MA Rico-Ramirez, D Han, PK Srivastava
Atmospheric Research 109, 95-113, 2012
Analysis of NDVI data for crop identification and yield estimation
J Huang, H Wang, Q Dai, D Han
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014
Sensitivity and uncertainty analysis of mesoscale model downscaled hydro‐meteorological variables for discharge prediction
PK Srivastava, D Han, MA Rico‐Ramirez, T Islam
Hydrological Processes 28 (15), 4419-4432, 2014
Integrated framework for monitoring groundwater pollution using a geographical information system and multivariate analysis
PK Srivastava, D Han, M Gupta, S Mukherjee
Hydrological Sciences Journal 57 (7), 1453-1472, 2012
Performance evaluation of the TRMM precipitation estimation using ground-based radars from the GPM validation network
T Islam, MA Rico-Ramirez, D Han, PK Srivastava, AM Ishak
Journal of Atmospheric and Solar-Terrestrial Physics 77, 194-208, 2012
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