Romulus Costache
Romulus Costache
Phd. Scientific Researcher, National Institute of Hydrology and Water Management, Romania
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Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm
Y Wang, H Hong, W Chen, S Li, M Panahi, K Khosravi, A Shirzadi, ...
Journal of environmental management 247, 712-729, 2019
A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area
DT Bui, ND Hoang, F Martínez-Álvarez, PTT Ngo, PV Hoa, TD Pham, ...
Science of The Total Environment 701, 134413, 2020
Mapping flood and flooding potential indices: a methodological approach to identifying areas susceptible to flood and flooding risk. Case study: the Prahova catchment (Romania)
L Zaharia, R Costache, R Prăvălie, G Ioana-Toroimac
Frontiers of Earth Science 11 (2), 229-247, 2017
Assessment and mapping of flood potential in the Slănic catchment in Romania
L Zaharia, R Costache, R Prăvălie, G Minea
Journal of Earth System Science 124 (6), 1311-1324, 2015
Assessment of surface runoff depth changes in Sǎrǎțel River basin, Romania using GIS techniques
C Romulus, F Iulia, C Ema
Central European Journal of Geosciences 6 (3), 363-372, 2014
Using GIS techniques for assessing lag time and concentration time in small river basins. Case study: Pecineaga river basin, Romania
R Costache
Geographia Technica 9 (1), 31-38, 2014
Flash-Flood Potential assessment in the upper and middle sector of Prahova river catchment (Romania). A comparative approach between four hybrid models
R Costache
Science of The Total Environment 659, 1115-1134, 2019
Flash-flood potential assessment and mapping by integrating the weights-of-evidence and frequency ratio statistical methods in GIS environment–case study: Bâsca Chiojdului …
R Costache, L Zaharia
Journal of Earth System Science 126 (4), 59, 2017
Flood vulnerability assessment in the low sector of Saratel Catchment. Case study: Joseni Village
R Costache, R Pravalie, I Mitof, C Popescu
Carpathian Journal of Earth and Environmental Sciences 10 (1), 161-169, 2015
The analysis of the susceptibility of the flash-floods' genesis in the area of the hydrographical basin of Bāsca Chiojdului river/Analiza susceptibilitatii genezei viiturilor …
R Pravalie, R Costache
Forum geografic 13 (1), 39, 2014
Identification of torrential valleys using GIS and a novel hybrid integration of artificial intelligence, machine learning and bivariate statistics
R Costache, H Hong, Y Wang
Catena 183, 104179, 2019
Flash-flood Potential Index mapping using weights of evidence, decision Trees models and their novel hybrid integration
R Costache
Stochastic Environmental Research and Risk Assessment 33 (7), 1375-1402, 2019
Spatial prediction of flood potential using new ensembles of bivariate statistics and artificial intelligence: A case study at the Putna river catchment of Romania
R Costache, DT Bui
Science of The Total Environment 691, 1098-1118, 2019
Flood Susceptibility Assessment by Using Bivariate Statistics and Machine Learning Models-A Useful Tool for Flood Risk Management
R Costache
Water Resources Management 33 (9), 3239–3256, 2019
The vulnerability of the territorial-administrative units to the hydrological phenomena of risk (flash-floods). Case study: the subcarpathian sector of Buzău catchment
R Prăvălie, R Costache
Analele Universității din Oradea–Seria Geografie 23 (1), 91-98, 2013
Flash-flood susceptibility assessment using multi-criteria decision making and machine learning supported by remote sensing and gis techniques
R Costache, QB Pham, E Sharifi, NTT Linh, SI Abba, M Vojtek, ...
Remote Sensing 12 (1), 106, 2020
Potential of hybrid data-intelligence algorithms for multi-station modelling of rainfall
QB Pham, SI Abba, AG Usman, NTT Linh, V Gupta, A Malik, R Costache, ...
Water Resources Management 33 (15), 5067-5087, 2019
Comparative assessment of the flash-flood potential within small mountain catchments using bivariate statistics and their novel hybrid integration with machine learning models
R Costache, H Hong, QB Pham
Science of The Total Environment 711, 134514, 2020
Spatial predicting of flood potential areas using novel hybridizations of fuzzy decision-making, bivariate statistics, and machine learning
R Costache, MC Popa, DT Bui, DC Diaconu, N Ciubotaru, G Minea, ...
Journal of Hydrology, 124808, 2020
Identification of areas prone to flash-flood phenomena using multiple-criteria decision-making, bivariate statistics, machine learning and their ensembles
R Costache, DT Bui
Science of The Total Environment 712, 136492, 2020
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