Assessment of Drought Risk in Korea: Focused on Data-based Drought Risk Map

Park, Jong Yong; Yoo, Ji Young; Lee, Minwoo; Kim, Tae‐Woong

doi:10.12652/ksce.2012.32.4b.203

Cited by 14 publications

(8 citation statements)

References 9 publications

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“…In past decades, multilateral research has also focused on reducing damage from drought. For example, drought frequency, risk evaluation, and prediction have been analysed for various climate change scenarios (Dai et al, 2004;Sheffield and Wood, 2008;Park et al, 2012;Ficklin et al, 2015;Carrao et al, 2016;Modarres et al, 2016). Ficklin et al (2015) used the PDSI, potential evapotranspiration (PET), and Mann-Kendall (MK) analysis to assess hydrological cycle fluctuations from 1979 to 2013 in order to understand drought tendencies and climate effects in neighbouring countries.…”

Section: Funding Informationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Modarres et al () applied MK and pre‐whitening trend (PWT) tests to evaluate the influence of rainfall on flood and drought severity in Iran, which is located in an arid and semi‐arid area. Park et al () developed the drought hazard index (DHI) and drought vulnerability index (DVI) to evaluate drought risk on the Korean Peninsula via the drought risk index (DRI) and the correlation between DHI and DVI. Hugo et al (2016) evaluated drought risk from 2000 to 2014 based on three independent variables (hazard, exposure, and vulnerability), finding that drought risk is more correlated with regional exposure than with hazard or vulnerability.…”

Section: Introductionmentioning

confidence: 99%

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Extreme drought hotspot analysis for adaptation to a changing climate: Assessment of applicability to the five major river basins of the Korean Peninsula

Lee

Park

Kim

et al. 2018

Intl Journal of Climatology

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This study proposes a quantitative approach for extreme drought hotspot assessment related to climate change, the hotspot drought risk index (HDRI), and evaluates the response of extreme drought to climate change in the five major river basins of the Korean Peninsula. According to an analysis of seasonal and regional drought characteristics on the Korean Peninsula, drought occurs most frequently in spring, and the central and southern areas are generally more vulnerable to drought. Drought risk analysis under various climate change scenarios indicates significant drought risk over the entire Korean Peninsula excepting some parts of the Han and Nakdong river basins from 2011 to 2040. Extreme drought may be particularly severe in the mid‐west area as these basins lack available water resources. Drought risk decreases in the southern Korean Peninsula in the 2011–2040 and 2071–2099 periods, during which the area vulnerable to drought also decreases. However, some parts of central Korea and the western and eastern coastlines remain susceptible to drought. The drought risk evaluation method suggested herein may be useful for predicting drought and establishing realistic coping strategies for extreme drought in a changing climate.

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Section: Funding Informationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Extreme drought hotspot analysis for adaptation to a changing climate: Assessment of applicability to the five major river basins of the Korean Peninsula

Lee

Park

Kim

et al. 2018

Intl Journal of Climatology

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“…Climate change has led to changes in seasonal rainfall and exacerbated the prevalence of drought from spring to summer [4]. This has affected the planting season of upland crops, such as soybean, sesame, and adzuki bean [5].…”

Section: Introductionmentioning

confidence: 99%

High-Throughput Root Imaging Analysis Reveals Wide Variation in Root Morphology of Wild Adzuki bean (Vigna angularis) Accessions

Tayade

Kim

Tripathi

et al. 2022

Plants

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Root system architecture and morphological diversification in wild accessions are important for crop improvement and productivity in adzuki beans. In this study, via analysis using 2-dimensional (2D) root imaging and WinRHIZO Pro software, we described the root traits of 61 adzuki bean accessions in their early vegetative growth stage. These accessions were chosen for study because they are used in Korea’s crop improvement programs; however, their root traits have not been sufficiently investigated. Analysis of variance revealed a significant difference between the accessions of all measured root traits. Distribution analysis demonstrated that most of the root traits followed normal distribution. The accessions showed up to a 17-fold increase in the values in contrasting accessions for the root traits. For total root length (TRL), the values ranged from 82.43 to 1435 cm, and for surface area (SA), they ranged from 12.30 to 208.39 cm2. The values for average diameter (AD) ranged from 0.23 to 0.56 mm. Significant differences were observed for other traits. Overall, the results showed that the accession IT 305544 had the highest TRL, SA, and number of tips (NT), whereas IT 262477 and IT 262492 showed the lowest values for TRL, SA, and AD. Principal component analysis showed an 89% variance for PC1 and PC2. K-mean clustering explained 77.4% of the variance in the data and grouped the accessions into three clusters. All six root traits had greater coefficients of variation (≥15%) among the tested accessions. Furthermore, to determine which root traits best distinguished different accessions, the correlation within our set of accessions provided trait-based ranking depending on their contribution. The identified accessions may be advantageous for the development of new crossing combinations to improve root features in adzuki beans during the early growth stage. The root traits assessed in this study could be attributes for future adzuki bean crop selection and improvement.

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“…Kim et al [11] performed drought vulnerability analysis by applying principal component analysis and entropy techniques. Park et al [25] evaluated regional drought risk by calculating drought exposure indices and drought vulnerability indices, whereas Yang and Kim [26] conducted drought vulnerability assessments in the Nakdong-gang River basin by applying Delphi techniques.…”

Section: Introductionmentioning

confidence: 99%

Drought Vulnerability Assessment and Cluster Analysis of Island Areas Taking Korean Island Areas at Eup (Town) and Myeon (Subcounty) Levels as Study Targets

Shim¹,

Kim²,

Hong³

et al. 2021

Water

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The purpose of this study is to conduct drought vulnerability assessment and cluster analysis of Korean island areas at eup (town) myeon (subcounty) level. Drought vulnerability assessment was conducted using factor analysis and entropy method, and cluster analysis was analyzed using K-means, a nonhierarchical cluster analysis method. Vulnerability consisted of climate exposure, sensitivity, and adaptive capacity. Twenty-two indicators were used to evaluate and analyze vulnerability of drought in small island areas. The results of entropy method showed that winter rainfall, no rainfall days, agricultural population rate, cultivation area rate, water supply rate and groundwater capacity have a substantial impact on drought assessment. The overall assessment of vulnerability indicated that Seodo-myeon Ganghwa-gun, Seolcheon-myeon Namhae-gun, and Samsan-myeon Ganghwa-gun were most vulnerable to drought. The cluster analysis was evaluated by categorizing the regions into three clusters, and policy support and planning are needed to suit the characteristics of each cluster was observed.

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Assessment of Drought Risk in Korea: Focused on Data-based Drought Risk Map

Cited by 14 publications

References 9 publications

Extreme drought hotspot analysis for adaptation to a changing climate: Assessment of applicability to the five major river basins of the Korean Peninsula

Extreme drought hotspot analysis for adaptation to a changing climate: Assessment of applicability to the five major river basins of the Korean Peninsula

High-Throughput Root Imaging Analysis Reveals Wide Variation in Root Morphology of Wild Adzuki bean (Vigna angularis) Accessions

Drought Vulnerability Assessment and Cluster Analysis of Island Areas Taking Korean Island Areas at Eup (Town) and Myeon (Subcounty) Levels as Study Targets

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