Next Article in Journal
Integrated Assessment of Shallow-Aquifer Vulnerability to Multiple Contaminants and Drinking-Water Exposure Pathways in Holliston, Massachusetts
Previous Article in Journal
Emptying Operation of Water Supply Networks
Article Menu
Issue 1 (January) cover image

Export Article

Open AccessArticle
Water 2018, 10(1), 24; https://doi.org/10.3390/w10010024

Regionalization of Drought across South Korea Using Multivariate Methods

1
Department of Agricultural and Rural Engineering, Chungbuk National University, Cheongju 28644, Korea
2
Department of Civil Engineering, Chungbuk National University, Cheongju 28644, Korea
3
K-Water Research Institute, Daejeon 34045, Korea
*
Authors to whom correspondence should be addressed.
Received: 24 November 2017 / Revised: 26 December 2017 / Accepted: 27 December 2017 / Published: 29 December 2017
View Full-Text   |   Download PDF [10018 KB, uploaded 29 December 2017]   |  

Abstract

Topographic and hydro-climatic features of South Korea are highly heterogeneous and able to influence the drought phenomena in the region. The complex topographical and hydro-climatic features of South Korea need a statistically accurate method to find homogeneous regions. Regionalization of drought in a bivariate framework has scarcely been applied in South Korea before. Hierarchical Classification on Principal Components (HCPC) algorithm together with Principal Component Analysis (PCA) method and cluster validation indices were investigated and used for the regionalization of drought across the South Korean region. Statistical homogeneity and discordancy of the region was tested on univariate and bivariate frameworks. HCPC indicate that South Korea should be divided into four regions which are closer to being homogeneous. Univariate and bivariate homogeneity and discordancy tests showed the significant difference in their results due to the inability of univariate homogeneity and discordancy measures to consider the joint behavior of duration and severity. Regionalization of drought for SPI time scale of 1, 3, 6, 12, and 24 months showed significant variation in discordancy and homogeneity of the region with the change in SPI time scale. The results of this study can be used as basic data required to establish a drought mitigation plan on regional scales. View Full-Text
Keywords: regionalization; topography; hydro-climatic features; HCPC; PCA; homogeneity; discordancy regionalization; topography; hydro-climatic features; HCPC; PCA; homogeneity; discordancy
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Azam, M.; Park, H.K.; Maeng, S.J.; Kim, H.S. Regionalization of Drought across South Korea Using Multivariate Methods. Water 2018, 10, 24.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Water EISSN 2073-4441 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top