Next Article in Journal
Current Practice and Recommendations for Modelling Global Change Impacts on Water Resource in the Himalayas
Previous Article in Journal
Drought Assessment using GRACE Terrestrial Water Storage Deficit in Mongolia from 2002 to 2017
Previous Article in Special Issue
Seasonal Drought Pattern Changes Due to Climate Variability: Case Study in Afghanistan
Article Menu
Issue 6 (June) cover image

Export Article

Open AccessArticle

Analysis of Drought-Sensitive Areas and Evolution Patterns through Statistical Simulations of the Indian Ocean Dipole Mode

1
State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China
2
Department of Civil Engineering, Joongbu University, Go Yang, Gyeong Gi 10279, Korea
*
Author to whom correspondence should be addressed.
Water 2019, 11(6), 1302; https://doi.org/10.3390/w11061302
Received: 13 May 2019 / Revised: 17 June 2019 / Accepted: 20 June 2019 / Published: 23 June 2019
  |  
PDF [3070 KB, uploaded 25 June 2019]
  |  

Abstract

In this study, we investigated extreme droughts in the Indochina peninsula and their relationship with the Indian Ocean Dipole (IOD) mode. Areas most vulnerable to drought were analyzed via statistical simulations of the IOD based on historical observations. Results of the long-term trend analysis indicate that areas with increasing spring (March–May) rainfall are mainly distributed along the eastern coast (Vietnam) and the northwestern portions of the Indochina Peninsula (ICP), while Central and Northern Laos and Northern Cambodia have witnessed a reduction in spring rainfall over the past few decades. This trend is similar to that of extreme drought. During positive IOD years, the frequency of extreme droughts was reduced throughout Vietnam and in the southwestern parts of China, while increased drought was observed in Cambodia, Central Laos, and along the coastline adjacent to the Myanmar Sea. Results for negative IOD years were similar to changes observed for positive IOD years; however, the eastern and northern parts of the ICP experienced reduced droughts. In addition, the results of the statistical simulations proposed in this study successfully simulate drought-sensitive areas and evolution patterns of various IOD changes. The results of this study can help improve diagnostic techniques for extreme droughts in the ICP. View Full-Text
Keywords: extreme drought; Indochina Peninsula; Indian Ocean Dipole; intentionally biased bootstrap method extreme drought; Indochina Peninsula; Indian Ocean Dipole; intentionally biased bootstrap method
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

Gao, Q.-G.; Sombutmounvong, V.; Xiong, L.; Lee, J.-H.; Kim, J.-S. Analysis of Drought-Sensitive Areas and Evolution Patterns through Statistical Simulations of the Indian Ocean Dipole Mode. Water 2019, 11, 1302.

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