Assessment of Vulnerability to Drought Disaster in Agricultural Reservoirs in South Korea

被引:20
作者
Mun, Young-Sik [1 ]
Nam, Won-Ho [2 ,3 ,4 ]
Jeon, Min-Gi [5 ]
Bang, Na-Kyoung [5 ]
Kim, Taegon [6 ]
机构
[1] Hankyong Natl Univ, Dept Bioresources & Rural Syst Engn, Anseong 17579, South Korea
[2] Hankyong Natl Univ, Sch Social Safety & Syst Engn, Anseong 17579, South Korea
[3] Hankyong Natl Univ, Inst Agr Environm Sci, Anseong 17579, South Korea
[4] Hankyong Natl Univ, Natl Agr Water Res Ctr, Anseong 17579, South Korea
[5] Hankyong Natl Univ, Dept Convergence Informat & Commun Engn, Anseong 17579, South Korea
[6] Univ Minnesota, Dept Bioprod & Biosyst Engn, St Paul, MN 55108 USA
关键词
agricultural drought; vulnerability; reservoir; disaster; analytical hierarchy process (AHP); South Korea; CLIMATE-CHANGE; HAZARD ASSESSMENT; INDEX; MODEL; RISK; ADAPTATION; GIS;
D O I
10.3390/atmos11111244
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Drought is a natural disaster affecting agriculture worldwide. Drought mitigation and proactive response require a comprehensive vulnerability mapping approach considering various factors. This study investigates the vulnerability to agricultural drought in South Korea based on exposure, sensitivity, and adaptability. The evaluation of agricultural drought factors yielded 14 items, which are categorized into meteorological, agricultural reservoir, social, and adaptability factors. Each item is assigned a weight using the analytical hierarchy process (AHP). We analyzed vulnerability to drought disaster in agricultural reservoirs, and generated vulnerability maps by applying the vulnerability framework for climate change. The generated map was divided into four categories based on drought vulnerability: A (Very high), B (High), C (Moderate), and D (Low). The weights for the meteorological (0.498), agricultural reservoir (0.286), social (0.166), and adaptability (0.05) factors were obtained using AHP. The rating frequencies were 41.91%, 19.76%, 9.58%, and 5.39% for A, B, C, and D, respectively. The western region is extremely vulnerable to meteorological and agricultural reservoir factors, whereas the eastern region is more vulnerable to adaptability. The results of this study visually represent agricultural drought and can be used for evaluating regional drought vulnerability for assisting preemptive drought responses to identify and support drought-prone areas.
引用
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页数:15
相关论文
共 42 条
[1]  
[Anonymous], 2005, Adaptation Policy Frameworks for Climate Change: Developing Strategies, Policies and Measures
[2]  
Birkmann J., 2007, Environmental Hazards, V7, P20, DOI 10.1016/j.envhaz.2007.04.002
[3]  
Brown J. R., 2016, Rangelands, V38, P162
[4]   Mapping global patterns of drought risk: An empirical framework based on sub-national estimates of hazard, exposure and vulnerability [J].
Carrao, Hugo ;
Naumann, Gustavo ;
Barbosa, Paulo .
GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS, 2016, 39 :108-124
[5]   Spatiotemporal variability of meteorological drought in Romania using the standardized precipitation index (SPI) [J].
Cheval, Sorin ;
Busuioc, Aristita ;
Dumitrescu, Alexandru ;
Birsan, Marius-Victor .
CLIMATE RESEARCH, 2014, 60 (03) :235-248
[6]  
[Field C.B. IPCC. IPCC.], 2011, Workshop Report of the Intergovernmental Panel on Climate Change Workshop on Impacts of Ocean Acidification on Marine Biology and Ecosystems
[7]   Climatic Variations in Macerata Province (Central Italy) [J].
Gentilucci, Matteo ;
Barbieri, Maurizio ;
Burt, Peter .
WATER, 2018, 10 (08)
[8]   Projected irrigation requirements for upland crops using soil moisture model under climate change in South Korea [J].
Hong, Eun-Mi ;
Nam, Won-Ho ;
Choi, Jin-Yong ;
Pachepsky, Yakov A. .
AGRICULTURAL WATER MANAGEMENT, 2016, 165 :163-180
[9]   Assessing drought vulnerability using geospatial techniques in northwestern part of Bangladesh [J].
Hoque, Muhammad Al-Amin ;
Pradhan, Biswajeet ;
Ahmed, Naser .
SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 705
[10]   Agricultural drought monitoring using European Space Agency Sentinel 3A land surface temperature and normalized difference vegetation index imageries [J].
Hu, Xingbang ;
Ren, Huazhong ;
Tansey, Kevin ;
Zheng, Yitong ;
Ghent, Darren ;
Liu, Xufang ;
Yan, Lei .
AGRICULTURAL AND FOREST METEOROLOGY, 2019, 279