Journal of Korean Society on Water Environment (한국물환경학회지)

Korean Society on Water Environment (한국물환경학회)
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Development and Assessment of Environmental Water Seasonal Outlook Method for the Urban Area

도시지역에 대한 환경용수의 계절전망 기법 개발 및 평가

  • So, Jae-Min (Department of Civil and Environmental Engineering, Sejong University) ;
  • Kim, Jeong-Bae (Department of Civil and Environmental Engineering, Sejong University) ;
  • Bae, Deg-Hyo (Department of Civil and Environmental Engineering, Sejong University)
  • 소재민 (세종대학교 건설환경공학과) ;
  • 김정배 (세종대학교 건설환경공학과) ;
  • 배덕효 (세종대학교 건설환경공학과)
  • Received : 2017.11.01
  • Accepted : 2017.12.20
  • Published : 2018.01.30
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Abstract

There are 34 mega-cities with a population of more than 10 million in the world. One of the highly populated cities in the world is Seoul in South Korea. Seoul receives $1,140million\;m^3/year$ for domestic water, $2million\;m^3/year$ for agricultural water and $6million\;m^3/year$ for industrial water from multi-purpose dams. The maintenance water used for water conservation, ecosystem protection and landscape preservation is $158million\;m^3/year$, which is supplied from natural precipitation. Recently, the use of the other water for preservation of water quality and ecosystem protection in urban areas is increasing. The objectives of this study is to develop the seasonal forecast method of environmental water in urban areas (Seoul, Daejeon, Gwangju, Busan) and to evaluate its predictability. In order to estimate the seasonal outlook information of environmental water from Land Surface Model (LSM), we used the observation weather data of Automated Synoptic Observing System (ASOS) sites, forecast and hind cast data of GloSea5. In the past 30 years (1985 ~ 2014), precipitation, natural runoff and Urban Environmental Water Index (UEI) were analyzed in the 4 urban areas. We calculated the seasonal outlook values of the UEI based on GloSea5 for 2015 year and compared it to UEI based on observed data. The seasonal outlook of UEI in urban areas presented high predictability in the spring, autumn and winter. Studies have depicted that the proposed UEI will be useful for evaluating urban environmental water and the predictability of UEI using GloSea5 forecast data is likely to be high in the order of autumn, winter, spring and summer.

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