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Mun-Ju Shin
Mun-Ju Shin
Korea Institute of Civil Engineering and Building Technology (KICT)
Geverifieerd e-mailadres voor uds.anu.edu.au
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Addressing ten questions about conceptual rainfall–runoff models with global sensitivity analyses in R
MJ Shin, JHA Guillaume, BFW Croke, AJ Jakeman
Journal of Hydrology 503, 135-152, 2013
1752013
A review of foundational methods for checking the structural identifiability of models: Results for rainfall-runoff
MJ Shin, JHA Guillaume, BFW Croke, AJ Jakeman
Journal of Hydrology 520, 1-16, 2015
722015
Analysis of groundwater level variations caused by the changes in groundwater withdrawals using long short-term memory network
MJ Shin, SH Moon, KG Kang, DC Moon, HJ Koh
Hydrology 7 (3), 64, 2020
402020
Estimation of peak flow in ungauged catchments using the relationship between runoff coefficient and curve number
NW Kim, MJ Shin
Water 10 (11), 1669, 2018
252018
Assessment of the suitability of rainfall–runoff models by coupling performance statistics and sensitivity analysis
MJ Shin, CS Kim
Hydrology Research 48 (5), 1192-1213, 2017
192017
Addressing ten questions about conceptual rainfall–runoff models with global sensitivity analyses in RJ Hydrol
MJ Shin, JHA Guillaume, BFW Croke, AJ Jakeman
192013
Using a global sensitivity analysis to estimate the appropriate length of calibration period in the presence of high hydrological model uncertainty
MJ Shin, Y Jung
Journal of Hydrology 607, 127546, 2022
152022
Alteration of hydrologic indicators for Korean catchments under CMIP5 climate projections
MJ Shin, HI Eum, CS Kim, IW Jung
Hydrological Processes 30 (24), 4517-4542, 2016
152016
Sensitivity analysis to investigate the reliability of the grid-based rainfall-runoff model
MJ Shin, YS Choi
Water 10 (12), 1839, 2018
142018
Combining an r-based evolutionary algorithm and hydrological model for effective parameter calibration
MJ Shin, YS Choi
Water 10 (10), 1339, 2018
122018
A comparison study of runoff projections for Yongdam dam watershed using SWAT
CM Jung, MJ Shin, YO Kim
Journal of Korea Water Resources Association 48 (6), 439-449, 2015
102015
Application of runoff coefficient and rainfall-intensity-ratio to analyze the relationship between storm patterns and flood responses
NW Kim, MJ Shin, JE Lee
Hydrology and Earth System Sciences Discussions 2016, 1-48, 2016
92016
Addressing ten questions about conceptual rainfall–runoff models with global sensitivity analyses in RJ Hydrol. 503, 135–152
MJ Shin, JHA Guillaume, BFW Croke, AJ Jakeman
92013
Component combination test to investigate improvement of the IHACRES and GR4J rainfall–runoff models
MJ Shin, CS Kim
Water 13 (15), 2126, 2021
72021
Preliminary study of computational time steps in a physically based distributed rainfall–runoff model
YS Choi, MJ Shin, KT Kim
Water 10 (9), 1269, 2018
62018
A study on a simple algorithm for parallel computation of a grid-based one-dimensional distributed rainfall-runoff model
YS Choi, MJ Shin, KT Kim
KSCE Journal of Civil Engineering 24 (2), 682-690, 2020
52020
Analysis of the effect of uncertainty in rainfall-runoff models on simulation results using a simple uncertainty-screening method
MJ Shin, CS Kim
Water 11 (7), 1361, 2019
52019
Curve Number estimation of ungauged catchments considering characteristics of rainfall and catchment
NW Kim, MJ Shin
KSCE Journal of Civil Engineering 23 (4), 1881-1890, 2019
52019
Experimental study of rainfall spatial variability effect on peak flow variability using a data generation method
NW Kim, MJ Shin
Journal of Korea Water Resources Association 50 (6), 359-371, 2017
42017
Comparative analysis of activation functions of artificial neural network for prediction of optimal groundwater level in the middle mountainous area of Pyoseon watershed in …
MJ Shin, JW Kim, DC Moon, JH Lee, KG Kang
Journal of Korea Water Resources Association 54 (spc1), 1143-1154, 2021
32021
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Artikelen 1–20