[논문]가뭄사상 및 농업수리시설물이 쌀 생산량에 미치는 영향에 대한 상관 분석

우승범; 남원호; 전민기; 윤동현; 김태곤; 성재훈; 김한중

doi:10.5389/ksae.2021.63.5.095

가뭄사상 및 농업수리시설물이 쌀 생산량에 미치는 영향에 대한 상관 분석
On the Linkage Between Irrigation Facilities and Rice Production Under Drought Events 원문보기

한국농공학회논문집 = Journal of the Korean Society of Agricultural Engineers, v.63 no.5, 2021년, pp.95 - 105

우승범 (School of Social Safety and Systems Engineering, Hankyong National University) , 남원호 (School of Social Safety and Systems Engineering, Institute of Agricultural Environmental Science, National Agricultural Water Research Center, Hankyong National University) , 전민기 (Department of Convergence of Information and Communication Engineering, Hankyong National University) , 윤동현 (Department of Convergence of Information and Communication Engineering, Hankyong National University) , 김태곤 (Department of Smart Farm, Jeonbuk National University) , 성재훈 (Korea Rural Economic Institute) , 김한중 (School of Social Safety and Systems Engineering, Hankyong National University)

Abstract ▼ AI-Helper

Drought is a disaster that causes prolonged and wide scale damage. Recently, the severity and frequency of drought occurrences, and drought damage have been increased significantly due to climate change. As a result, a quantitative study of drought factors is needed to better understand and prevent future droughts. In the case of agricultural drought, several existing studies examine the economic damage caused by droughts and their causes, but these studies are not well suited to estimating crop-oriented agricultural drought damage and the factors that absolutely affect agricultural drought. This study determines which factors most affect agricultural drought. It examines meteorological factors and those related to agricultural water supplied by irrigation facilities. Rice paddy production per unit area is lower than the average from the last two years where agricultural drought occurred. We compare the relative frequency of agricultural drought impacts with irrigation facilities, effective reservoir storage, the number of water supply facilities, and the meteorological drought index such as Standardized Precipitation Index (SPI). To identify factors that affect agricultural drought, we correlate rice paddy production anomalies with irrigation water supply for the past two years. There was a high positive correlation between rice paddy production and irrigation water usage, and there was a low or moderate negative correlation between rice paddy production anomalies compared to the average of the past two years and SPI. As a result, agricultural water supply by irrigation facilities was judged to be more influential than meteorological factors in rice paddy production. This study is expected to help local governments establish policies related to agricultural drought response.

주제어

표/그림 (20)

그림 Fig. 1 Location of three study areas and reservoirs
그림 Fig. 2 Annual rice paddy production per irrigated area during 2000-2017
표 Table 1 Input variables associated with agricultural drought damage
표 Table 2 Irrigation facilities in the three study areas
그림 Fig. 3 Relationship between total effective reservoir storage and the number of reservoirs (GG : Gyeonggi-do, GW : Gangwon-do, CB : Chungcheongbuk-do, CN : Chungcheongnam-do, JB : Jeollabuk- do, JN : Jeollanam-do, GB : Gyeongsangbuk-do, GN : Gyeongsangnam-do)
그림 Fig. 4 Flow chart of correlation analysis between agricultural drought factors and meteorological and hydrological factors
그림 Fig. 5 Regional rice paddy production anomalies in (a) 2010 and (b) 2017
그림 Fig. 6 Comparison of regional rice paddy production in 2010, 2017, and past 2years average
표 Table 3 Classification of drought index of SPI (Mckee et al., 1993)
표 Table 4 Linear relationship of the Pearson’s correlation coefficient ranges
그림 Fig. 7 Correlation analysis of rice paddy production anomalies and drought factors, such as the number of reservoirs and SPI
표 Table 5 Regional number of reservoirs, rice paddy production per 10a and October SPI6 in 2017
표 Table 6 Correlation coefficient between paddy rice production per 10a and irrigation water usage and SPI
그림 Fig. 8 Comparison of paddy rice production and irrigation water usage, SPI for Chungcheongbuk-do
그림 Fig. 9 Comparison of paddy rice production and irrigation water usage, SPI for Chungcheongnam-do
그림 Fig. 10 Comparison of paddy rice production and irrigation water usage, SPI for Jeollabuk-do
그림 Fig. 11 Comparison of paddy rice production and irrigation water usage, SPI for Goesan, Chungcheongbuk-do
그림 Fig. 12 Comparison of paddy rice production and irrigation water usage, SPI for Hongseong, Chungcheongnam-do
그림 Fig. 13 Comparison of paddy rice production and irrigation water usage, SPI for Sunchang, Jeollabuk-do
표 Table 7 Correlation coefficient between paddy rice production per 10a and irrigation water usage and between paddy rice production anomaly and SPI

참고문헌 (29)

Bae, D. H., J. M. So, and S. H. Kim, 2015. 2015 drought analysis and countermeasures. Korea Disaster Prevention Association 17(4): 14-22.
Bang, N. K., W. H. Nam, E. M. Hong, M. J. Hayes, and M. D. Svoboda, 2018. Assessment of the meteorological characteristics and statistical drought frequency for the extreme 2017 spring drought event across South Korea. Journal of the Korean Society of Agricultural Engineers 60(4): 37-48. doi:10.5389/KSAE.2018.60.4.037.

원문보기 상세보기
Burke, M., and K. Emerick, 2016. Adaptation to climate change: Evidence from US agriculture, American Economic Journal: Economic Policy 8(3): 106-140.

상세보기
Chang, Y. J., J. W. Lee, J. K. Park, and H. J. Park, 2015. Study on effects of meteorological elements in the grain production of Korea. Journal of Environmental Science International 24(3): 281-290. doi:10.5322/JESI.2015.24.3.281.

원문보기 상세보기
Dell, M., B. F. Jones, and B. A. Olken, 2014. What do we learn from the weather? The new climate-economy literature. Journal of Economic Literature 52(3): 740-798.

상세보기
Edward, D. C., and T. B. Mckee, 1997. Characteristics of 20th century drought in the United States at multiple time scales. Department of Atmospheric Science, Atmospheric Science Paper No. 634, Climatology Report No. 97-2, Colorado State University.
Kang, J. K., S. K. Jung, S. J. Maeng, and C. D. Jang, 2015. Analysis for drought resilience of monoculture on climate change. Discussion of Crisis Management in Korea 11(1):63-81.
Kim, B. S., J. H. Sung, B. H. Lee, and D. J. Kim, 2013. Evaluation on the impact of extreme droughts in South Korea using the SPEI and RCP 8.5 climate change scenario. Journal of the Korean Society of Hazard Mitigation 13(2):97-109. doi:10.9798/KOSHAM.2013.13.2.097.

원문보기 상세보기
Korea Meteorological Administration (KMA) weather data service open MET data portal, Automated Synoptic Observing System (ASOS). https://data.kma.go.kr/. Accessed 4 Mar. 2021.
Korea Rural Community Corporation, Rural Agricultural Water Resource Information System (RAWRIS). https://rawris.ekr.or.kr/. Accessed 5 Mar. 2021.
Korea Rural Economic Institute (KREI), 2016. Measurement of agricultural damage due to drought. Korea Rural Economic Institute, Naju, South Korea.
Korean Statistical Information Service (KOSIS). https://kosis.kr/. Accessed 19 Jan. 2021.
Lee, H. J., W. H. Nam, D. H. Yoon, E. M. Hong, D. E. Kim, M. D. Svoboda, T. Tadesse, and B. D. Wardlow, 2019. Satellite-based evaporative stress index (ESI) as an indicator of agricultural drought in North Korea. Journal of the Korean Society of Agricultural Engineers 61(3):1-14. doi:10.5389/KSAE.2019.61.3.001.

원문보기 상세보기
Lee, H. J., W. H. Nam, D. H. Yoon, E. M. Hong, T. G. Kim, J. H. Park, and D. E. Kim, 2020. Percentile approach of drought severity classification in evaporative stress index for South Korea. Journal of the Korean Society of Agricultural Engineers 62(2): 63-73. doi:10.5389/KSAE.2020.62.2.063.

원문보기 상세보기
Lee, J. W., Y. J. Jang, K. K. Ko, and J. K. Park, 2013. Effects of meteorological elements in the production of food crops: Focused on regression analysis using panel data. Journal of Environmental Science International 22(9):1171-1180. doi:10.5322/JESI.2013.22.9.1171.

원문보기 상세보기
Mckee, T. B., M. J. Doesken, and J. Kleist, 1993. The relationship of drought frequency and duration to time scales. In Proceedings of the 8th Conference of Applied Climatology, 17-22 January, Anaheim, CA. American Meteorological Society, Boston, MA. 179-184.
Mun, Y. S., W. H. Nam, M. G. Jeon, H. J. Kim, K. Kang, J. C. Lee, T. H. Ha, and K. Y. Lee, 2020. Evaluation of regional drought vulnerability assessment based on agricultural water and reservoirs. Journal of the Korean Society of Agricultural Engineers 62(2): 97-109. doi:10.5389/KSAE.2020.62.2.97.

원문보기 상세보기
Myeong, S. J., 2018. Impact of climate change related natural disasters on rice production in South Korea. Journal of the Korean Society of Hazard Mitigation 18(7): 53-60. doi:10.9798/KOSHAM.2018.18.7.53.

상세보기
Nam, W. H., J. Y. Choi, M. G. Jang, and E. M. Hong, 2013. Agricultural drought risk assessment using reservoir drought index. Journal of the Korean Society of Agricultural Engineers 55(3): 41-49. doi:10.5389/KSAE.2013.55.3.041.

원문보기 상세보기
Nam, W. H., M. J. Hayes, M. D. Svoboda, T. Tadesse, and D. A. Wilhite, 2015. Drought hazard assessment in the context of climate change for South Korea. Agricultural Water Management 160: 106-117. doi:10.1016/j.agwat.2015.06.029.

상세보기
Nam, W. H., H. J. Kwon, and K. S. Choi, 2018. Reevaluation of design frequency of drought and water supply safety for agricultural reservoirs under changing climate and farming methods in paddy field. Journal of the Korean Society of Agricultural Engineers 60(1): 121-131. doi:10.5389/KSAE.2018.60.1.121.

원문보기 상세보기
Ryu, M. H., S. W. Jang, and D. H. Park, 2011. Climate change and drought: Study on shadow price and damage cost of water under drought. Journal of Wetlands Researh 13(2): 209-218.
Seo, S. S., D. G. Kim, K. H. Lee, H. S. Kim, and T. W. Kim, 2009. Estimation of drought damage based on agricultural and domestic water use. Journal of Wetlands Researh 11(2): 77-87.
Schlenker, W., and M. J. Roberts. 2009. Nonlinear temperature effects indicate severe damages to US crop yields under climate change, Proceedings of the National Academy of Sciences 106(37): 15594-15598.

상세보기
Schlenker, W., W. M. Hanemann, and A. C. Fisher, 2005. Will U.S. agriculture really benefit from global warming? Accounting for irrigation in the hedonic approach, American Economic Review 95(1): 395-406.

상세보기
So, J. M., K. H. Shon, and D. H. Bae, 2015. Development and assessment of drought damage estimation technique using drought characteristic factors. Journal of the Korean Society of Hazard Mitigation 15(2): 93-101. doi:10.9798/KOSHAM.2015.15.2.93.

원문보기 상세보기
Sung, J. H., K. S. Chae, and D. E. Kim, 2017. The effects of droughts and public investments in irrigation facilities on rice yields in Korea. Korean Journal of Agricultural and Forest Meteorology 19(4): 293-303. doi:10.5532/KJAFM.2017.19.4.293.

원문보기 상세보기
Sung, J. H., and K. S. Chae, 2018. The economic effects on droughts: Focused on rice production. Journal of Rural Development 41(3): 1-23.
Yoon, D. H., W. H. Nam, H. J. Lee, E. M. Hong, T. G. Kim, D. E. Kim, A. K. Shin, and M. D. Svoboda, 2018. Application of evaporative stress index (ESI) for satellite-based agricultural drought monitoring in South Korea. Journal of the Korean Society of Agricultural Engineers 60(6): 121-131. doi:10.5389/KSAE.2018.60.6.121.

원문보기 상세보기

저자의 다른 논문 :

표제어: PCR

동의어: Packet Collision Rate

용어 설명 출처 목록 (6)

용어 설명: PCR은 세균 특이성이 있는 primer를 이용하여 적은 수의 세균이 있을지라도 쉽게 검출할 수 있는 유용한 방법이며, 이를 이용하여 구강 내 치면세균막이나 타액에서 직접 세균을 검출할 수 있게 되었다[8].

내보내기 구분	파일저장 인쇄 메일전송
구성항목	기본정보 상세정보 관리번호, 논문명, 저널/프로시딩명, 저자 , 발행년, 권, 호, 시작페이지, 끝페이지, 발행기관 관리번호, 논문명, 대등논문명, 저자 , 저널/프로시딩명, 발행기관, 발행년, 발행언어, 권, 호, 시작페이지, 끝페이지, ISBN, ISSN, 주제분야, 키워드, 초록(한글), 초록(영문), 저자(소속기관)
저장형식	Text(ASCII format) Excel format RefWorks Direct Export RIS format (for Reference Manager, ProCite, EndNote), Scholar's Aids, Mendeley
메일정보	받는사람 (필수) @ 보내는사람 (선택) @ 제목 내용 KISTI 검색결과 이메일 서비스
안내	총 건의 자료가 검색되었습니다. 다운받으실 자료의 인덱스를 입력하세요. (1-10,000) 검색결과의 순서대로 최대 10,000건 까지 다운로드가 가능합니다. 데이타가 많을 경우 속도가 느려질 수 있습니다.(최대 2~3분 소요) 다운로드 파일은 UTF-8 형태로 저장됩니다. 파일의 내용이 제대로 보이지 않을실 때는 웹브라우저 상단의 보기 -> 인코딩 -> 자동선택 여부를 확인하십시오. ~ Text(ASCII format) Excel format

연합인증