Analysis of climate change impacts on the spatial and frequency patterns of drought using a potential drought hazard mapping approach

Kim, Chang Joo; Park, Min Jae; Lee, Joo Heon

doi:10.1002/joc.3666

Cited by 60 publications

(33 citation statements)

References 23 publications

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“…In this study, we propose to evaluate spatio‐temporal analysis of DSs and WSs by developing severity‐duration‐frequency (SDF) curves, which can relate three variables (e.g. severity, duration and frequency of occurrence) in a single diagram and is regarded as a useful multivariate tool in water resources management (Shiau and Modarres, ; Mishra and Singh, ; Reddy and Ganguli, ; Kim et al , ). This curve is similar to intensity‐duration‐frequency (IDF) curves investigated for design storms (Rajsekhar et al , ).…”

Section: Introductionsupporting

confidence: 79%

Wet and dry spell analysis using copulas

et al. 2015

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Climate variability modulates spatio‐temporal variability of dry spells (DSs) and wet spells (WSs) within a river basin and will affect water resources management practices leading to various impacts on the socio‐economic development in river basins. In this study, we evaluated spatio‐temporal variability of DS and WS in Huai River basin (HRB), China, by developing copula‐based severity‐duration‐frequency (SDF) curves. The result shows that the upper reach and the southern part of middle reach of HRB are prone to both DS and WS; however, the duration and severity of WS are comparatively higher in comparison to DS. It was observed that DS is more frequent in spring and summer, whereas WS in summer and autumn. The choice of copula plays an important role in deriving the SDF curves, and an inappropriately chosen copula function may result in a large bias of SDF estimation. The arch12 copula was found to be the best choice in the majority of stations for deriving the SDF curves. The constructed SDF curves primarily shows two major patterns for DS and WS, i.e. concave down pattern and convex up pattern. The frequency of extreme DS decreases from 1960s to 1990s, and increases after 2000s, while the frequency of extreme WS increases from 1970s to 1990s and then decreases from 1990s to 2000s. The results in this study can provide useful information for designing conservation structures and to develop water allocation strategies at different temporal scales.

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Section: Introductionsupporting

confidence: 79%

Wet and dry spell analysis using copulas

et al. 2015

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“…In Table 1 are described values of the SPI with corresponding cumulative probability and with appropriate classification of the severity by McKee et al (1995). The SPI has been applied in a number of international works dealing with the research of drought impacts on ecological environmental conditions (Kim et al, 2014;Moreira et al, 2008;Nam et al, 2015). …”

Section: Standardised Precipitation Indexmentioning

confidence: 99%

Identifying the relationships of climate and physiological responses of a beech forest using the Standardised Precipitation Index: a case study for Slovakia

Vido

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Nalevanková

et al. 2016

Journal of Hydrology and Hydromechanics

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The paper presents relationship between the Standardised Precipitation Index (SPI) and physiological responses of individual trees in a beech stand using an example of an experimental plot in Bienska valley (Zvolen, Slovakia). SPI is a widely used tool for monitoring both short-term and long-term droughts, and for the assessments of drought impacts on agriculture. Due to the complex ecosystem bonds, monitoring of drought in forests often requires a sophisticated technological approach. The aim of the paper was to correlate the SPI on the physiological responses of trees that were recorded during the performed physiological research (sap flow, and stem circumference increment) at the site in the growing seasons (May to September) of the years 2012-2014. The results revealed a relationship between the index and the physiological responses, although the problem with the impact of other environmental factors has also come up. The secondary correlation, in which soil water potential that significantly affects physiological responses of forest tree species was used as a dependent variable, showed a tighter relationship with the SPI. We found the highest correlation between the soil water potential and the values of SPI aggregated for five weeks. This indicates that the beech forest has a five week resistance to drought stress. The results also enable simple monitoring of the initiation of the drought stress by applying SPI for five weeks.

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“…South Korea is one of the countries classified as water deficient by the United Nations, and, in recent years, has experienced serious droughts and water scarcity problems (Kim et al, 2014). Historical weather records confirm that South Korea has recently experienced large-scale drought at the national level (Min et al, 2003;Kim et al, 2011).…”

Section: Introductionmentioning

confidence: 99%