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2023 Vol.65, Issue 5 Preview Page
Assessment of Agricultural Drought Vulnerability Focus on Drought Response Capability in Irrigation Facilities and Paddy Fields

수리시설물 및 농경지 가뭄대응능력 중심의 농업가뭄 취약성 평가 - 태안 지역을 중심으로 -

Young-Sik Muna
,
Won-Ho Namb†
,
Tae-Hyun Hac
,
Young-Jun Jod
문 영식a
,
남 원호b†
,
하 태현c
,
조 영준d
aPh.D. Student, Department of Convergence of Information and Communication Engineering, Hankyong National University, Anseong, Republic of Korea
bAssociate Professor, School of Social Safety and Systems Engineering, Institute of Agricultural Environmental Science, National Agricultural Water Research Center, Hankyong National University, Anseong, Republic of Korea
cDeputy Director, Agricultural Drought Mitigation Center, Integrated Water Resources Management Department, Korea Rural Community Corporation, Sejong, Republic of Korea
dDirector, Agricultural Drought Mitigation Center, Integrated Water Resources Management Department, Korea Rural Community Corporation, Sejong, Republic of Korea
a박사과정, 한경대학교 정보통신융합공학과 박사과정, 대한민국 안성
b한경대학교 사회안전시스템공학부 부교수, 국립농업과학원 농업환경과학연구소, 국립농업용수연구소, 안성, 대한민국
c한국농어촌공사 통합수자원관리부 농업가뭄극복센터 부센터장, 세종특별자치시, 대한민국
d한국농어촌공사 통합수자원관리처 농업가뭄극복센터장, 세종특별자치시, 대한민국
† Corresponding author Tel.: +82-31-670-5137, Fax: +81-31-670-5139 E-mail: wonho.nam@hknu.ac.kr
2023. pp. 13-24
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Abstract

Due to recent climate change, the amount of rainfall during the summer season in South Korea has been decreasing, leading to an increase in areas affected by frequent droughts. Droughts have the characteristic of occurring over a wide area and being unpredictable in terms of their onset and end, necessitating proactive research to cope with them. In this study, we conducted an assessment of agricultural drought vulnerability in Taean-gun, Chungcheongnam-do, focusing on irrigation facilities and paddy fields. The assessment criteria were meteorological impact, drought occurrence status, supplementary water supply capacity, and drought response capability, with nine specific indicators selected. The drought response capability was analyzed by applying a scoring system as a key component of the agricultural drought vulnerability assessment, while the other indicators were quantified using an entropy weighting technique. The results of the assessment showed that Anmyeon-eup and Taean-eup were the safest areas, while Wonbuk-myeon, Nam-myeon, and Gonam-myeon were the most vulnerable. It is expected that the findings can be utilized to enhance understanding and proactive measures for coping with agricultural drought, and to determine the priority of drought response in different regions.

Keywords
Agricultural drought
vulnerability
drought response capability
Entropy
irrigation facilities
References

REFERENCES

1
Intergovernmental Panel on Climate Change (IPCC), Climate change 2001: The scientific basis. Contribution of working group I to the third report of the Intergovernmental Panel on Climate Change, Cambridge, UK. Cambridge University Press. (2001)
2
Intergovernmental Panel on Climate Change (IPCC), Climate change 2007: Impacts, adaptation and vulnerability. Contribution of working group II to the fourth assessment report of the Intergovernmental Panel on Climate Change, Cambridge, UK. Cambridge University Press. (2007)
3
H. M. Jung, S. H. Lee, K. H. Kim, Y. C. Kwak, E. H. Choi, S. E. Yoon, R. Na, D. H. Joo, S. H. Yoo and G. S. Yoon, Journal of the Korean Society of Agricultural Engineers, Evaluation of agricultural reservoirs operation guideline using K-HAS and ratio correction factor during flood season, 63(4); 97-105, (in Korean) (2021)10.5389/KSAE.2021.63.4.097
4
J. E. Kim, J. Y. Park, J. H. Lee and T. W. Kim, Journal of Korea Water Resources Association, Socioeconomic vulnerability assessment of drought using principal component analysis and entropy method, 52(6); 441-449, (in Korean) (2019)10.3741/JKWRA.2019.52.6.441
5
J. U. Kim, J. Y. Lee and S. J. Kim, Journal of Korea Water Resources Association, Evaluation of the future agricultural drought severity of South Korea by using Reservoir Drought Index (RDI) and climate change scenarios, 52(6); 381-395, (in Korean) (2019)10.3741/JKWRA.2019.52.6.381
6
S. J. Kim, T. Y. Park, S. M. Kim and S. M. Kim, Korean National Committee on Irrigation and Drainage, The proxy variables selection of vulnerability assessment for agricultural infrastructure according to climate change, 18(2); 33-42, (in Korean) (2012)
7
Korea Meteorological Administration (KMA), Climate Report 2022, 11-1360000-001109-10 (in Korean) (2023)
8
S. H. Lee, J. E. Eun, H. J. Bae and D. K. Yoon, Journal of the Korean Association of Regional Geographers, Vulnerability assessment of the air pollution using entropy weights: Focused on ozone, 21(4); 751-763, (in Korean) (2015)
9
L. T. Ma, J. S. Kim, K. S. Kang and Y. C. Chol, Journal of Next-generation Convergence Technology Association, A study on evaluation of earthquake risk in Korea based on expert survey and entropy weight method, 5(5); 806-815, (in Korean) (2021)10.33097/jncta.2021.05.05.674
10
I. Meza, S. Siebert, P. Doll, J. Kusche, C. Herbert, E. E. Rezaei, H. Nouri, H. Gerdener, E. Popat, J. Frischen, G. Naumann, J. V. Vogt, Y. Walz, Z. Sebesvari and M. Hagenlocher, Natural Hazards and Earth System Sciences, Global-scale drought risk assessment for agricultural systems, 20; 695-712 (2020)10.5194/nhess-20-695-2020
11
Y. S. Mun, W. H. Nam, M. G. Jeon, H. J. Kim, G. Kang, J. C. Jung, T. H. Ha and G. Y. Lee, Journal of the Korean Society of Agricultural Engineers, Evaluation of regional drought vulnerability assessment based on agricultural water and reservoirs, 62(2); 97-109, (in Korean) (2020)10.5389/KSAE.2020.62.97
12
Y. S. Mun, W. H. Nam, M. H. Yang, J. H. Shin, M. G. Jeon, T. G. Kim, S. Y. Lee and K. Y. Lee, Journal of the Korean Society of Agricultural Engineers, Evaluation of agricultural drought disaster vulnerability using Analytic Hierarchy Process (AHP) and Entropy weight method, 63(3); 1-14, (in Korean) (2021)10.5389/KSAE.2021.63.3.001
13
W. H. Nam, T. G. Kim, J. Y. Choi and J. J. Lee, Journal of the Korean Society of Agricultural Engineers, Vulnerability assessment of water supply in agricultural reservoir utilizing probability distribution and reliability analysis methods, 54(2); 37-46, (in Korean) (2012)10.5389/ksae.2012.54.2.037
14
W. H. Nam, E. M. Hong and J. Y. Choi, Journal of the Korean Society of Agricultural Engineers, Uncertainty of water supply in agricultural reservoirs considering the climate change, 56(2); 11-23, (in Korean) (2014)10.5389/ksae.2014.56.2.011
15
W. H. Nam, M. J. Hayes, D. A. Wilhite and M. Svoboda, Journal of the Korean Society of Agricultural Engineers, Projection of temporal trends on drought characteristics using the Standardized Precipitation Evapotranspiration Index (SPEI) in South Korea, 57(1); 37-45, (in Korean) (2015)10.5389/KSAE2015.57.1.037
16
J. Y. Park, J. Y. Joo, M. W. Lee and T. W. Kim, Journal of Civil Engineering, Assessment of drought risk in Korea: Focused on data-based drought risk map, 32(4); 203-211, (in Korean) (2012)10.12652/ksce.2012.32.4b.203
17
Y. K. Park, W. Y. Cha, J. S. Kim and S. D. Kim, Journal of the Korean Society of Hazard Mitigation, Metropolitan socio-economic disaster vulnerability assessment, 17(1); 353-364, (in Korean) (2017)10.9798/kosham.2017.17.1.353
18
I. T. Shim, B. C. Hong, E. J. Kim and T. M. Hwang, Journal of Korean Society of Water and Wastewater, Vulnerability assessment of drought of small island areas in Korea, 33(5); 341-351, (in Korean) (2019)10.11001/jksww.2019.33.5.341
19
J. H. Shin, Ph.D. diss, Analysis of drought vulnerable areas using neural-network algorithm, Sungkyunkwan University. (2018)
20
J. H. Shin, J. K. Kim, M. K. Yeom and J. P. Kim, Journal of the Society of Disaster Information, Analysis of drought vulnerable areas using neural-network algorithm, 17(2); 329-340, (in Korean) (2021)10.15683/KOSDI.2021.6.30.329
21
J. H. Shin, W. H. Nam, N. K. Bang, H. J. Kim, H. U. Anh and K. Y. Lee, Journal of the Korean Society of Agricultural Engineers, Assessment of irrigation efficiency and water supply vulnerability using SWMM, 62(6); 73-83, (in Korean) (2020)10.5389/KSAE.2020.62.6.073
22
K. J. Won, J. H. Sung and E. S. Chung, Journal of Korea Water Resources Association, Parameteric assessment of water use vulnerability of South Korea using SWAT model and TOPSIS, 48; 647-657, (in Korean) (2015)10.3741/jkwra.2015.48.8.647
23
World Meteorological Organization (WMO), Eight warmest years on record witness upsurge in climate change impacts, https://public.wmo.int. Press Release Number 06112022, Nov. 2022 (2022)
24
J. S. Yang and I. H. Kim, Journal of Civil Engineering, Development of drought vulnerability index using delphi method considering climate change and trend analysis in Nakdong River basin, 33(6); 2245-2254, (in Korean) (2013)10.12652/ksce.2013.33.6.2245
25
C. Yu, X. Huang, H. Chen, G. Huang, S. Ni, J. S. Wright, J. Hall, P. Ciais, J. Zhang, Y. Xiao, Z. Sun, X. Wang and L. Yu, Earth’s Future, Assessing the impacts of extreme agricultural drought in China under climate and socioeconomic change, 6(5); 689-703 (2018)10.1002/2017ef000768
26
J. Zhao, Q. Zhang, X. Zhu, Z. Shen and H. Yu, Geography and Sustainability, Drought risk assessment in China: Evaluation framework and influencing factors, 1(3); 220-228 (2020)10.1016/j.geosus.2020.06.005
Information
  • Publisher :The Korean Society of Agricultural Engineers
  • Publisher(Ko) :한국농공학회
  • Journal Title :Journal of Korean Society of Agricultural Engineers
  • Journal Title(Ko) :한국농공학회논문집
  • Volume : 65
  • No :5
  • Pages :13-24
  • Received Date : 2023-04-20
  • Revised Date : 2023-07-05
  • Accepted Date : 2023-07-05
  • DOI :https://doi.org/10.5389/KSAE.2023.65.5.013
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