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SWAT 모형을 이용한 상수도 취수원의 가뭄 예측 및 확산 연구

A Study on Drought Prediction and Diffusion of Water Supply Intake Source Using SWAT Model

  • 투고 : 2019.11.01
  • 심사 : 2019.11.15
  • 발행 : 2019.12.01

초록

하천을 수원으로 하는 상수도 시설은 강수량 및 하천 유량과 같은 모니터링 설비가 없는 곳이 대부분이며, 갈수기 등 하천 유량 감소기에도 취수량 조절과 같은 가뭄대응을 위한 판단 기준이 없어 사전 대응이 곤란한 실정이다. 또한, 실제 가뭄 업무를 일선에서 처리하는 지자체 공무원 등이 지금까지 제시된 가뭄지수(SPI, PDSI 등) 및 확산 모델 등을 사전 대응에 활용하기에는 한계가 있는 것으로 나타났다. 이에 따라 본 연구에서는 장기유출모형(SWAT)의 매개변수 검·보정을 통해 장기간의 일단위 유출량을 추정하였으며, 감수곡선식을 도출하였다. 또한, 일단위 취수량과 감수곡선식의 관계분석을 통해 취수가능일수를 정량적으로 산정하였으며, 이를 용수공급 네트워크에 대입하여 읍면동 단위 적용 가능 범위를 제시하였다.

Most of the water supply facilities that use rivers as sources do not have monitoring facilities such as precipitation and stream flow measurement, and there is no judgment standard for drought response such as water intake control in river flow during dry season. In addition, it was confirmed that local government officials, who deal with actual drought work, have limitations in applying the drought index (SPI, PDSI, etc.) and diffusion models that have been proposed so far in advance. Therefore, in this study, the drought prediction system was constructed to determine the number of water-intake available days using SWAT (Soil and Water Assessment Tool) and the water supply network from the intake source to the beneficiary area, suggesting the drought spreading time and space.

키워드

참고문헌

  1. Arnold, J. G. and Fohrer, N. (2005). "SWAT 2000: Current capabilities and research opportunities in applied watershed modeling." Hydrological Processes, Vol. 19, No. 3, pp. 563-572. https://doi.org/10.1002/hyp.5611
  2. Jeong, S. M., Lee, J. H. and Ahn, J. K. (2004). "Water demand and supply stability analysis using shared vision model." J. Korea Water Resour. Assoc., KWRA, Vol. 37, No. 7, pp. 569-579. https://doi.org/10.3741/JKWRA.2004.37.7.569
  3. Kim, G. S. and Lee, J. W. (2011). "Evaluation of drought indices using the drought records." J. Korea Water Resour. Assoc., KWRA, Vol. 44, No. 8 (in Korean).
  4. Kim, T. W. and Park, D. H. (2018). "Guidelines for extreme drought planning adaptation to climate change" J. Korean Soc. Civ. Eng., KSCE, Vol. 66, No. 7, pp. 43-48 (in Korean).
  5. Ministry of Environment (MOE) (2017). A study on the development of drought prediction and response system for local water supply system (in Korean).
  6. Ministry of Land, Infrastructure and Transport (MOLIT) (2011). Long term water resource management master plan (2011-2020) (in Korean).
  7. National Disaster Management Research Institute (NDMI) (2017). Development of integrated forecasting and warning platform for national drought information (I) (in Korean).
  8. National Disaster Management Research Institute (NDMI) (2018). The development of surveying techniques for the regional customizing drought information (in Korean).
  9. Palmer, R. N., Keyes, A. M. and Fisher, S. M. (1993). "Empowering stakeholders through simulation in water resources planning." Proc. of 20th Annual Water Resources Planning and Management Conference, ASCE, Seattle, pp. 451-454.
  10. Seo, H. D., Jeong, S. M., Kim, S. J. and Lee, J. M. (2008). "A study on the optimal water supply using virtual drought exercise with hydrological drought index." J. Korea Water Resour. Assoc., KWRA, Vol. 41, No. 10 (in Korean).