DOI QR코드

DOI QR Code

Determination of Optimum Capacity Rainwater Utilizing Facilities by Analysis of the Water Supply by Land Use Scenario

토지이용 시나리오별 용수공급 분석에 따른 빗물이용시설 최적 용량 결정

  • 임석화 (한국수자원공사 K-water연구원) ;
  • 김병성 (한국수자원공사 K-water연구원) ;
  • 류경식 (한국수자원공사 K-water연구원) ;
  • 이상진 (한국수자원공사 K-water연구원)
  • Received : 2020.11.27
  • Accepted : 2021.01.08
  • Published : 2021.08.01

Abstract

Most of Korea's agricultural water is supplied by reservoirs, so dependence on them is very high. Accordingly, it is important to reduce this dependence and provide a stable agricultural water supply by utilizing an applicable alternative water source. Therefore, in this work, scenarios for different land uses were constructed, and an optimal water supply plan using rainwater and reused sewage water - which are alternative water sources - was created. A study was also conducted to determine the optimal capacity of a rainwater facility. From the analysis, a stable water supply was achieved in the scenario of maximum utilization of rainwater by changing an existing paddy area to a greenhouse area, and about 0.82 ton of flow capacity was required for 1 mm of rainfall on farms utilizing rainwater. As a result of analyzing the optimal scenario to derive the ratio of the storage capacity per unit water collection area, the rainwater storage capacity determined through MODSIM and the storage capacity determined through actual monitoring showed similar results, about 31 and 32 %, respectively, and the optimal capacity of rainwater facilities was calculated to be about 5,796,000-6,182,400 ton.

우리나라 농업용수 공급은 대부분 저수지를 통한 공급 방법을 채택하고 있어 그 의존도가 매우 높다. 이에 적용 가능한 대체 수원을 활용하여 저수지 의존도를 경감시키고 안정적인 농업용수 공급이 이루어져야 한다. 따라서, 본 연구에서는 토지이용 별 시나리오를 구성하여 대체 수원인 빗물과 하수재이용수를 활용한 최적의 용수공급방안에 대하여 분석하고 빗물 이용시설의 최적 용량을 결정하는 연구를 수행하였다. 분석 결과 기존 논농사 지역을 하우스로 변경하여 빗물을 최대로 활용할 경우 안정적인 공급이 이루어졌고, 실제 빗물을 활용하고 있는 농장에서 1 mm의 강우에 약 0.82 ton의 용량이 필요한 것으로 분석되었다. 이에 최적의 시나리오를 MODSIM을 통해 결정한 빗물 저류 용량과 실제 모니터링을 통해 결정한 저류 용량을 집수면적당 저류 용량 비율로 분석한 결과 각각 약 31, 32 %로 유사하게 나타났으며, 빗물 이용시설의 최적 용량은 약 5,796,000 ton ~ 6,182,400 ton 으로 분석되었다.

Keywords

Acknowledgement

본 논문은 2020 CONVENTION 논문을 수정·보완하여 작성되었습니다.

References

  1. Gyeonggi Green & Agriculture Foundation (2016). Eco-friendly use and management plan of Hwaseong & Tando reservoir and nearby reclamation sites, Research Report (in Korean).
  2. Kang, T. U., Koo, Y. M. and Lee, S. J. (2015). "A study on design method and effect analysis of rainwater harvesting facility for efficient use." Journal of The Korean Society of Hazard Mitigation, KSHM, Vol. 15. No. 2, pp. 353-361 (in Korean). https://doi.org/10.9798/KOSHAM.2015.15.2.353
  3. Korea Rural Community Corporation (KRC) (2010). A study on water supply for horticulture and livestock region in saemangeum reclaimed area, ministry of food, agriculture, forestry and fisheries, Research Report (in Korean).
  4. Korea Rural Economic Institute (KREI) (2012). Comprehensive plan establishment plan for agricultural use of reclaimed land, Research Report (in Korean).
  5. Korea Water Resources Corporation (K-water) (2009). Agricultural water demand estimation and supply evaluation report, Research Report (in Korean).
  6. Labadie, J. (2005). MODSIM: River basin management decision support system, Chapter 23 in Watershed Models, V. Singh and D. Frevert (eds.), CRC Press, Boca Raton, FL.
  7. Ministry of Agrticulture, Food and Rural Affairs (MAFRA) (2010). Basic concept for using large-scale reclaimed land. attachment (in Korean).
  8. Ministry of Agrticulture, Food and Rural Affairs (MAFRA) (2012). Development of fertigation system for red-pepper, Research Report (in Korean).
  9. Ministry of Environment (MOE) (2011). Standards of sewerage facilities (in Korean).
  10. Rural Development Administration (RDA) (2007). Rural guidance project, farming utilization materials, Agricultural science technology development research (in Korean).
  11. Shafer, J. and Labadie, J. (1978). Synthesis and calibration of a river basin water management model, Completion Report No. 89, Colorado Water Resources Research Institute, Colorado State University, Fort Collins, CO.
  12. Sprague, R. and Carlson, E. (1982). Building effective decision support systems, Prentice-Hall, Inc., Englewood Cliffs, NJ.