Articles | Volume 13, issue 5
22 May 2013
Research article | 22 May 2013
Integrated multi-criteria flood vulnerability approach using fuzzy TOPSIS and Delphi technique
G. Lee et al.
No articles found.
Young Hoon Song, Eun-Sung Chung, and Shamsuddin Shahid
Hydrol. Earth Syst. Sci. Discuss.,
Manuscript not accepted for further reviewShort summary
This study proposed two new concepts for the previous Double Gamma Quantile Mapping (DGQM), such as the inclusion of flexible dividing point between two individual gamma functions and the use of more probability distributions. As a result, F-DDQM method performed the better bias correction for the GCMs very clearly. This new F-DDQM method can be also applied to the various fields such as the use of satellite climate data, reanalysis climate data and spatial downscaling or interpolation.
Gyumin Lee, Kyung Soo Jun, and Minji Kang
Nat. Hazards Earth Syst. Sci., 19, 2767–2779,Short summary
This study proposes a system for the scientific selection of evaluation indices and priority areas for non-point source control. We developed a framework to prioritize catchments in terms of the risk of non-point source pollution considering the characteristics of polluted runoff from a non-point source using a multi-criteria decision-making method.
Kamal Ahmed, Dhanapala A. Sachindra, Shamsuddin Shahid, Mehmet C. Demirel, and Eun-Sung Chung
Hydrol. Earth Syst. Sci., 23, 4803–4824,Short summary
This study evaluated the performance of 36 CMIP5 GCMs in simulating seasonal precipitation and maximum and minimum temperature over Pakistan using spatial metrics (SPAtial EFficiency, fractions skill score, Goodman–Kruskal's lambda, Cramer's V, Mapcurves, and Kling–Gupta efficiency) for the period 1961–2005. NorESM1-M, MIROC5, BCC-CSM1-1, and ACCESS1-3 were identified as the most suitable GCMs for simulating all three climate variables over Pakistan.
G. Lee, K. S. Jun, and E.-S. Chung
Nat. Hazards Earth Syst. Sci., 15, 863–874,Short summary
This study proposes an improved group decision making (GDM) framework that combines VIKOR method with data fuzzification to quantify the spatial flood vulnerability, including multiple criteria. The combination of the GDM approach with the fuzzy VIKOR method can provide robust prioritization because it actively reflects the opinions of various groups and considers uncertainty in the input data.
J. H. Sung and E.-S. Chung
Hydrol. Earth Syst. Sci., 18, 3341–3351,