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DongWoo Jang,HyoSeon Park 보안공학연구지원센터 2015 International Journal of Software Engineering and Vol.9 No.9
Songdo International City has currently developed a waterfront area for an eco-friendly green city, and the waterfront plan includes maintenance of certain water quality level by replacing the water with the inflowing clean seawater in the canal and circulation of the water by bringing in the seawater with the operation of floodgate to be installed outside the canal. This research used the Danish DHI MIKE 3 FM model for the 3D water quality modeling of future Songdo waterfront canal in order to simulate the annual change of water quality with and without Songdo Sewage Treatment Plant and to quantitatively analyze the influence of it through a WQI analysis. Most of canal water comes from the open sea; the canal water quality seems to have similar tendency with the one of open sea; there is considerable quality load due to the effluence of Songdo Sewage Treatment Plant; and the quality change is outstanding in a summer where there is high precipitation.In the result of annual simulation, the water quality evaluation index was relatively high for the southern canal, where the Songdo Sewage Treatment Plant is located, and eastern canal neighboring the outflow gate while the western and northern canals had low index because they are not influenced by the Songdo Sewage Treatment Plant so they would have clean water quality. In a summer, especially, all the canals have bad water quality of rating 4 because of water from the land. Even though the water quality is good for the water from the sea, the water quality of canal can be reduced due to the point and non-point pollution sources, and it will be necessary to make efforts to reduce the pollution load in a summer for the southern and eastern canals under influence of effluence of Songdo Sewage Treatment Plant.
DongWoo Jang,HyoSeon Park,JinTak Choi 보안공학연구지원센터 2015 International Journal of Software Engineering and Vol.9 No.8
Spatial analysis method is one of the most common methods. This research selects an appropriate interpolation method to generate the precipitation data for the grid of mostly urban area missing South Korean detailed precipitation data according to RCP 8.5 scenario provided by Korea Meteorological Administration (KMA) and considers the applicability of 1km*1km grid precipitation date to the administrative district of Korea. To generate the precipitation data of missing area, ESRI ArcGIS was used, and an optimum interpolation method will be selected to generate the precipitation data for the missing areas according to the future climate change scenario, the used interpolation method includes Inverse Distance Weighting (IDW) method, Ordinary Kriging, Universal Kriging, and Spline methods. The most accurate value was found with the Ordinary Kriging in the calculation of suitable interpolation methods using the precipitation data of August, where the precipitation was the highest in the period of 2015 through 2019 with the RCP 8.5 scenario.
Dongwoo Jang,Hyoseon Park,Seong Joon Byeon,Jintak Choi 보안공학연구지원센터 2016 International Journal of Software Engineering and Vol.10 No.9
Forecasts from Climate Change Scenarios representing that many countries will suffer water shortage are continuously increasing up, the importance of water-related industries and water management technologies will be increased. The Smart Water Grid where high-tech ICT and previous water management infrastructure are combined has been presented, settled and applied dynamically in Korea. It is important to assessment the available amount of water resources. To do this, the analysis of future precipitation data required, making precipitation prediction and climate change scenarios provided by the Korea Meteorological Administration with essential factors for assessing the available amount of water resources from short to long term. This study developed a program which can provide precipitation data in the grid unit of 1km using the RCP8.5 scenario The Visual Studio 2013 program was used based on C language. Data as climate change scenarios were kept in Oracle DB to be used through the DB server. Future RCP scenarios from 2015 to 2050 were stored in the Oracle DB, and users were allowed to extract precipitation data by setting the search period and location. The program was developed as an application program based on Microsoft Window, and the result of extraction was stored as a text file to increase user convenience.