[논문]대규모 농업용저수지 수혜면적 변화에 따른 효율적 용수재분배 모의

성무홍; 정민혁; 범진아; 박태선; 이재남; 정형모; 김영주; 유승환; 윤광식

doi:10.5389/ksae.2021.63.3.001

[국내논문] 대규모 농업용저수지 수혜면적 변화에 따른 효율적 용수재분배 모의
Simulation of Water Redistribution for the Resized Beneficiary Area of a Large Scale Agricultural Reservoir 원문보기

한국농공학회논문집 = Journal of the Korean Society of Agricultural Engineers, v.63 no.3, 2021년, pp.1 - 12

성무홍 (Chonnam Regional Headquarter, Korea Rural Community Corporation (KRC)) , 정민혁 (Department of Rural and Bio-Systems Engineering, Chonnam National University) , 범진아 (Department of Rural and Bio-Systems Engineering, Chonnam National University) , 박태선 (Kangwon Regional Headquarter, Korea Rural Community Corporation (KRC)) , 이재남 (Rural Research Institute, Korea Rural Community Corporation (KRC)) , 정형모 (Project Planning Office, Korea Rural Community Corporation (KRC)) , 김영주 (Department of Cadastre and Civil Engineering, VISION College of Jeonju) , 유승환 (Department of Rural and Bio-Systems Engineering, Chonnam National University) , 윤광식 (Department of Rural and Bio-Systems Engineering, Chonnam National University)

Abstract ▼ AI-Helper

Optimal water management is to efficiently and equally supply an appropriate amount of water by using irrigation facilities. Therefore, it is necessary to evaluate water supply capacity through distribution simulation between the designed distribution rate and re-distributed rate according to the changed farming conditions. In this study, we recalculated the agricultural water supply amount of Geumcheon main canal, which beneficiary area was reduced due to the development of Gwangju-Jeonnam innovation city, and we constructed a canal network using the SWMM model to simulate the change in supply rate of each main canal according to the re-distributed rate. Even though the supply amount of the Geumcheon main canal was reduced from 1.20 m3/s to 0.90 m3/s, it showed a similar supply rate to the current, and the reduced quantity could be supplied to the rest of the main canal. As a result, the arrival time at the ends of all main canal, except for the Geumcheon main canal, decreased from 1 to 3 hours, and the supply rate increased from 4 to 17.0% at the main canal located at the end of the beneficiary area of Naju reservoir.

Keyword

표/그림 (19)

그림 Fig. 1 Main irrigation canals and locations of water level gauges in beneficiary area of Naju reservoir
그림 Fig. 2 Flow chart of the process for evaluating re-distribution rate by SWMM
표 Table 1 Specifications of the main irrigation canals of Naju reservoir
그림 Fig. 3 Overall procedure to delineate the direct beneficiary area of Naju reservoir
그림 Fig. 4 Classification of water supply types to define direct beneficiary area of Naju reservoir
그림 Fig. 5 Example of constructing each node in SWMM model
표 Table 2 Input data of SWMM for Naju reservoir and beneficiary area
표 Table 3 Beneficiary area of each main irrigation canal after delination
그림 Fig. 6 Comparison of total and direct Naju beneficiary areas
그림 Fig. 7 Comparison of observed and simulated discharges in each main canal
그림 Fig. 8 Comparison between observed and simulated discharge
표 Table 4 Comparison between observed and simulated irrigation amounts in each gauging station
그림 Fig. 9 Comparison of water supply simluation results on past and present Geumcheon beneficiary areas due to redistribution of irrigation rate
표 Table 6 Comparison of supply rate to the each main irrigation canal by designed distribution and re-distributed rates
표 Table 5 Comparison of the ratio of fully supplied beneficiary areas of Geumchoen canal due to reduced water supply
그림 Fig. 10 Comparison of irrigated beneficiary areas due to the change of distribution rates
표 Table 7 Comparsion of travel time to the end of each main irrigation canal by designed distribution and re-distributed rates
그림 Fig. 11 Comparison the result of supply rate and travel time following to designed and re-distributed rate scenarios
표 Table 8 Comparison of the ratio of beneficiary area of each main irrigation canal which reached to the target ponding depth by designed distribution and re-distributed rates

참고문헌 (31)

Bang, N. K., 2019. Development and application of field management model for agricultural reservoir. MS. diss., Hankyong National University (in Korean).
Chung, S. O., and S. H. Son, 2001. Return flow analysis of paddy field by water balance method. Journal of the Korean Society of Agricultural Engineers (KSAE) 43(2): 59-68 (in Korean).
Hong, E. M., J. Y. Choi, W. H. Nam, S. H. Lee, J. K. Choi, and J. T. Kim, 2015. Analysis of water loss rate and irrigation efficiency in irrigation canal at the Dong-Jin district. Journal of the Korean Society of Agricultural Engineers (KSAE) 57(2): 93-101 (in Korean). doi:10.5389/KSAE.2015.57.2.093.

원문보기 상세보기
Hong, E. M., W. H. Nam, J. Y. Choi, and J. T. Kim, 2014. Evaluation of water supply adequacy using real-time water level monitoring system in paddy irrigation canals. Journal of the Korean Society of Agricultural Engineers (KSAE) 56(4): 1-8 (in Korean). doi:10.5389/KSAE.2014.56.4.001.

원문보기 상세보기
Kang, M. S., 2015. Feasibility study on irrigation system flow analysis through SWMM simulation. Ph.D. diss., Konkuk University (in Korean).
Kang, T., and S. Lee, 2012. A study for a reasonable applic ation of the SWMM to watershed runoff event simulation. Journal of Korean Society of Hazard Mitigation 12(6): 247-258 (in Korean). doi:10.9798/KOSHAM.2012.12.6.247.

원문보기 상세보기
Kim, H. D., 2018. Development trend of intelligent irrigation and drainage system. Rural and Environmental Engineering Journal 131: 89-103 (in Korean).
Kim, S. J., P. S. Kim, and C. Y. Lim, 2004. Behaviour anaylsis of irrigation reservoir using open water management program. Journal of the Korean Society of Agricultural Engineers (KSAE) 46(1): 3-13 (in Korean). doi:10.5389/KSAE.2004.46.1.003.

원문보기 상세보기
Kim, S. M., S. J. Kim, Y. W. Kim, T. Y. Park, S. M. Kim, K, W. Park, and M. W. Jang, 2011. Potential release of environmental flow through irrigation reservoir. Journal of the Korean Society of Agricultural Engineers (KSAE) 53(6): 101-109 (in Korean). doi:10.5389/KSAE.2011.53.6.101.

원문보기 상세보기
Kim, S. R., M. W. Jang, S. J. Kim, and S. J. Bae, 2017. Spatial and temporal analysis of drought using the storage data of agricultural reservoirs in Chungnam province in 2015. Journal of the Korean Society of Agricultural Engineers (KSAE) 59(2): 29-36 (in Korean). doi:10.5389/KSAE.2017.59.2.029.

원문보기 상세보기
KORICO (Korea Agricultural and Rural Infrastructure Corporation), 2002. Yong San Gang comprehensive agricul tural development project (in Korean).
Lee, D, R., J. W. Moon, D. H . Lee, and J. H . Ahn, 2006. Development of water supply capacity index to monitor droughts in a reservoir. Journal of the Korea Water Resources Association 39(3): 199-214 (in Korean). doi:10.3741/JKWRA.2006.39.3.199.

원문보기 상세보기
Lee, J. and J. Noh, 2015. Evaluating water supply capacity of embankment raised reservoir on climate change. Journal of the Korean Society of Agricultural Engineers (KSAE) 57(4): 73-84 (in Korean). doi:10.5389/KSAE.2015.57.4.073.

원문보기 상세보기
Lee, Y., 2005. An investigative study for the estimation of irrigation water requirement in paddy land. Ph.D. diss., Konkuk university (in Korean).
MAFRA (Ministry of Agricultural, Food and Rural Affairs), 2018. A study on water conservation design standard for adaptation to climate change (in Korean).
MAFRA (Ministry of Agricultural, Food and Rural Affairs), 2019. Agriculture, food and rural affairs. statistics yearbook (in Korean).
Moriasi, D. N., J. G. Arnold, M. W. Van Liew, R. L. Bingner, R. D. Harmel, and T. L. Veith, 2007. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Transactions of the ASABE 50(3): 885-900. doi:10.13031/2013.23153.

상세보기
Nam, W. H., 2020. Direction of improvement of agricultural water balance model, water for future, Journal of the Korea Water Resources Association, 53(4): 33-42 (in Korean).
Nam, W. H., E. M. Hong, and J. Y. Choi, 2016. Assessment of water delivery efficiency in irrigation canals using performance indicators. Irrigation Science 34: 129-143. doi:10.1007/s00271-016-0488-6.

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 (KSAE) 60(1): 121-131 (in Korean). doi:10.5389/KSAE.2018.60.1.121.

원문보기 상세보기
Nam, W. H., J. Y. Choi, E. M. Hong, and J. T. Kim, 2013. Assessment of irrigation efficiencies using smarter water management. Journal of the Korean Society of Agricultural Engineers (KSAE) 55(4): 45-53 (in Korean). doi:10.5389/KSAE.2013.55.4.045.

원문보기 상세보기
Nam, W. H., J. Y. Choi, S .G. Choi, M. W. Hang, N. H. Lee, and K. D. Ko, 2011. A survey on irrigation timing and water saving strategies of agricultural reservoirs. Korean National Committee on Irrigation and Drainage 18(1): 81-93 (in Korean).
Nam, W. H., T. G. Kim, E. M. Hong, M. J. Hayes, and M. D. Svoboda, 2015. Water supply risk assessment of agricultural reservoirs using irrigation vulnerability model and cluster analysis. Journal of the Korean Society of Agricultural Engineers (KSAE) 57(1): 59-67 (in Korean). doi:10.5389/KSAE.2015.57.1.059.

원문보기 상세보기
Nam, W. H ., T. Kim, E. M. H ong, and J. Y. Choi, 2017. Regional climate change impacts on irrigation vulnerable season shifts in agricultural water availability for South Korea. Water 9(10): 735. doi:10.3390/w9100735.

상세보기
Park, J. H., 2017. Development of 4-dimensional agricultural water management system by functional improvement of irrigation facilities. Ph.D. diss., Konkuk University (in Korean).
Rossman, L. A., 2010. Storm water management model user's manual version 5.0. EPA/600/R-05/040, National risk management research laboratory, environmental protection agency, Cincinnati, Ohio.
Santhi, C., J. G. Arnold, J. R. Williams, W. A. Dugas, R. Srinivasan, and L. M. Hauck, 2007. Validation of the SWAT model on a large river basin with point and nonpoint sources. Journal of the American Water Resources Association 37(5): 1169-1188. doi:10.1111/j.1752-1688.2001.tb03630.x.

상세보기
Shim, M. P., O. I. Kwon, and H. K. Lee, 1995. Reservoir operation by variable restricted water level during flood period. Journal of the Korea Water Resources Association, 28(6): 217-228 (in Korean).
Shin, J. H., W. H. Nam, N. K. Bang, H, J. Kim, H. U. An, J. W. Do, and K, Y. Lee, 2020. Assessment of water distribution and irrigation efficiency in agricultural reservoir using SWMM model. Journal of the Korean Society of Agricultural Engineers (KSAE) 62(3): 1-13 (in Korean). doi:10.5389/KSAE.2020.62.3.001.

원문보기 상세보기
Van Liew, M. W., J. G. Arnold, and J. D. Garbrecht, 2003. Hydrologic simulation on agriculture watersheds: choosing between two models. Transactions of the ASAE. 46(6): 1539-1551. doi:10.13031/2013.15643.

상세보기
Yoo, S. H., 2009. Analyzing agricultural drought affected by climate change. Ph.D. diss., Seoul National University (in Korean).

저자의 다른 논문 :

활용도 분석정보

상세보기

다운로드

내보내기

활용도 Top5 논문

해당 논문의 주제분야에서 활용도가 높은 상위 5개 콘텐츠를 보여줍니다.
더보기 버튼을 클릭하시면 더 많은 관련자료를 살펴볼 수 있습니다.

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