Assessment of drought hazard, vulnerability, and risk: A case study for administrative districts in South Korea

Kim, Hung-Soo; Park, Jongyong; Yoo, Ji-Young; Kim, Tae‐Woong

doi:10.1016/j.jher.2013.07.003

Cited by 127 publications

(82 citation statements)

References 16 publications

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“…Hazard refers to the natural or human induced events that potentially damage different places singly or in combination (Blaikie et al 1994) In technical settings, hazards are described quantitatively by the probability that an event of a certain magnitude will occur at a certain place and time, as determined from historical data or scientific analysis (Reed 1997;UNISDR 2009b) Since precipitation is a proxy indicator of the water available to the coupled human-environment system (Svoboda et al 2012) then the frequency of abnormal precipitation deficits at some level of intensity can be used to represent drought hazard for drought-prone nations and regions, as similar as proposed by Shahid and Behrawan (2008), He et al (2012), Shiau and Hsiao (2012), and Kim et al (2015).…”

Section: Drought Hazard Estimation: the Weighted Anomaly Of Standardimentioning

confidence: 99%

Global projections of drought hazard in a warming climate: a prime for disaster risk management

2017

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changes emerge for global Mediterranean ecosystems and the Amazon region, which are identified as possible hotspots for future water security issues. Taken together, projections of dH changes point towards two dilemmas: (1) in the near-term, stake-holders are left worrying about projected increasing dH over large regions, but lack of actionable model agreement to take effective decisions related to local prevention and adaptation initiatives; (2) in the long-term, models demonstrate remarkable agreement, but stake-holders lack actionable knowledge to manage potential impacts far distant from actual human-dominated environments. We conclude that the major challenge for risk management is not to adapt human populations or their activities to dH changes, but to progress on global initiatives that mitigate their impacts in the whole carbon cycle by late-century.

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Section: Drought Hazard Estimation: the Weighted Anomaly Of Standardimentioning

confidence: 99%

Global projections of drought hazard in a warming climate: a prime for disaster risk management

2017

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“…We also produced more highly accurate regional wheat vulnerability curves than can qualitative indicators of vulnerability, which can only produce a relative vulnerability rating (Kim et al 2013). The proposed curves reveal the quantitative relationship between drought and wheat yield loss rate.…”

Section: Regional Wheat Vulnerability Curvesmentioning

confidence: 99%

An EPIC model-based vulnerability assessment of wheat subject to drought

Yue

et al. 2015

Nat Hazards

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This paper presents a regionalized vulnerability curve-building approach to vulnerability and risk assessment of wheat subjected to drought that uses the Environmental Policy Integrated Climate (EPIC) model and statistical analysis. We defined wheat vulnerability as the degree to which a wheat production system is likely to experience yield loss due to a perturbation or drought hazard. Wheat vulnerability in a given region is thus the yield loss divided by the drought hazard index (DHI yield losses and associated DHIs, wheat drought vulnerability curves can be developed. We propose that agricultural systems be considered uniform within each wheat-planting region and different in different regions, according to territorial differentiation, when regionalized vulnerability curves are built. Based on this principle, a detailed regional crop calendar was improved, and optimized wheat varieties were refined that can differentiate agricultural systems within wheat-planting regions. The crop calendar was improved based on the assumption that local farmers have perfect knowledge in selecting sowing and harvesting dates. The wheat varieties were optimized by adjusting the genetic parameters of wheat in the EPIC model using the Shuffled Complex Evolution algorithm-University of Arizona (SCE-UA) method. Based on these improvements and innovations, the precision of most vulnerability curves was improved, and the curves were compared favorably to those observed in previous studies related to differences in the genetic character of wheat, the crop calendar, environmental conditions, and other relevant factors. Differences within each region were smaller than differences between regions. More detailed wheat vulnerability curves allow for the assessment of expected wheat yield loss and also allow for a high level of precision in an evaluation, at a variety of scales, of risk of wheat subject to drought. The proposed approach to building regionalized vulnerability curves has the potential to be the basis for crop drought vulnerability curves in different geographical areas at multiple scales.

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“…Eriyagama et al assessed the impact of climate change on water resources and agriculture in Sri Lanka [9]. Kim et al proposed using the empirical orthogonal function (EOF) to evaluate the vulnerability of agricultural drought of major river basins in Korea [10]. Dipanwita et al used the vegetation condition index (VCI) and standardized precipitation index (SPI) to monitor the spatio-temporal extent of agricultural drought in Rajasthan of Indian [11].…”

Section: Introductionmentioning

confidence: 99%

Assessing Agricultural Drought Vulnerability by a VSD Model: A Case Study in Yunnan Province, China

Lin

Wang³

et al. 2017

Sustainability

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Drought vulnerability of agriculture is significant to economic development and sustainable food production. In this paper, we proposed a framework to evaluate the regional agricultural-eco environment in the face of drought caused by climate change. Based on a vulnerability scoping diagram (VSD) model, we built up a comprehensive system to evaluate the agricultural drought vulnerability of Yunnan Province in China. The model highlights the human-land relationship by considering both natural conditions and human activities. Twelve indicators were generated to construct three components of the model: exposure, sensitivity, and adaptive capacity. During the construction of the VSD model, the entropy and the analytic hierarchy process (AHP) comprehensive analysis method were adopted to generate the weights and to compute the composite index for each section. Furthermore, the factor analysis method was used to determine the dominant factors of different cities and the main indicators driving the system. The results indicated a spatial pattern that the vulnerability value was high on the eastern and western sides, but low in the middle of Yunnan Province. Most of the vulnerable regions were concentrated in remote areas. Indicators such as population density, irrigation level, annual average precipitation, cultivation land ratio, and difficulty of water supply were the main driving factors. This means that there is a deep connection between agricultural drought vulnerability and urbanization. The evaluation system developed during this research will provide guidance for drought mitigation in regions of complex terrain.

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Assessment of drought hazard, vulnerability, and risk: A case study for administrative districts in South Korea

Cited by 127 publications

References 16 publications

Global projections of drought hazard in a warming climate: a prime for disaster risk management

Global projections of drought hazard in a warming climate: a prime for disaster risk management

An EPIC model-based vulnerability assessment of wheat subject to drought

Assessing Agricultural Drought Vulnerability by a VSD Model: A Case Study in Yunnan Province, China

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