PUKYONG

Drought prediction till 2100 under RCP 8.5 Climate Change Scenario for Korea

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Abstract
This study has utilized the Effective Drought Index (EDI) to precisely and quantitatively predict future drought in Korea for the period 2014 – 2100. The EDI was computed from the daily precipitation data generated by the regional climate model (HadGEM3-RA) under Representative Concentration Pathway (RCP 8.5) scenario. Using the data for 678 grid points (12.5 km interval) over Korea clusters with similar climates namely G1 (Northwest), G2 (Middle), G3 (Northeast) and G4 (Southern) regions were constructed. The forecasted period was categorised into the early phase (EP, 2014-2040), middle phase (MP, 2041-2070), and the latter phase (LP, 2071-2100).
As a result, all drought events were quantified and ranked according to their duration and intensity. Also, the future occurrences of drought (when, where, how severe) were represented as a spatial map. Based on grid-point averages, the most severe drought throughout the 87-year period is expected to occur in Namwon around 2039-2041 with a peak intensity (minimum EDI) –3.54 and duration of 580 days. The most severe drought by cluster analysis is expected to occur in the region G3 with the mean intensity of –2.85 in 2027. Throughout the spatial area of investigation, almost 6.6 years of drought periodicity and slight decrease in their peak intensity was noted. Finally, a spatial-temporal drought map was constructed for all clusters and time-periods.
Author(s)
Park, Chang Kyun
Issued Date
2015
Awarded Date
2015. 2
Type
Dissertation
Publisher
Department of Environmental Atmospheric Sciences, the Graduate School, Pukyong National University
URI
https://repository.pknu.ac.kr:8443/handle/2021.oak/11838
http://pknu.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000001967457
Affiliation
Department of Environmental Atmospheric Sciences
Department
대학원 지구환경시스템과학부환경대기과학전공
Advisor
Byun, Hi Ryong
Table Of Contents
1. Introduction 1
2. Methodology 6
2.1 Climate Model and Precipitation Data 6
2.2 Computation of the Drought Index 9
3. Changes of Precipitation 12
4. Changes in Future Drought 15
4.1 Spatial Distribution 15
4.2 Drought Ranking and Spatial Distributions 17
5. Regional Analysis of Future Drought 21
5.1 Regional Clustering 21
5.2 Seasonal Changes 23
5.3 Annual Changes and Drought Occurrence Cycles 25
5.4 Spatial-temporal Drought Mapping 29
6. Summary 31
REFERENCES 34
Degree
Master
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대학원 > 지구환경시스템과학부-환경대기과학전공
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