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http://dx.doi.org/10.15681/KSWE.2017.34.1.67

Development and Assessment of Environmental Water Seasonal Outlook Method for the Urban Area  

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)
Publication Information
Journal of Korean Society on Water Environment / v.34, no.1, 2018 , pp. 67-76 More about this Journal
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.
Keywords
GloSea5; Land Surface Model; Seasonal Outlook; Urban Environmental Water; Urban Environmental water Index;
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Times Cited By KSCI : 6  (Citation Analysis)
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