The inflow of nonpoint pollution sources due to sustainable development and urbanization is gradually increasing and causes a diversity of water pollution. There are lots of difficulties to find a solution as the problems related to variation of hydrological and natural phenomenon. A differentiated method to estimate the nonpoint pollution sources has been proposed using rainfall and characteristics of urbanization and observed data from sewage treatment districts in the study. The types of nonpoint pollution sources on an assumption of combined sewer system have been classified as three types which are inflow of rainfall, bypass of sewage treatments, and combined sewer overflows from a river. Three types for estimation of nonpoint pollution sources applied more accurately to generate a amount of nonpoint pollution loads. This study is expecting a wide application for effective water resource management on TMDL (total maximum delivery load) unit watershed and sewage treatment districts
Increase of impervious area caused by overdevelopment has led to increase of runoff and then the problem of flooding and NPS were brought up. In addition, as decrease of base flow made groundwater level to decline, a stream that dries up is issued. low impact development (LID) method which is possible to mimic hydrological water cycle, minimize the effect of development, and improve water cycle structure is proposed as an alternative. As introduction of LID in domestic increases, the study on small watershed is in process mainly. Also, analysis of property of hydrological runoff and load on midsize watershed, like sewage treatment district, is required, the study on it is still insufficient. So, area applying LID practices from watershed of Dongrae stream is pinpointed and made the ratio and then expand it to watershed of Oncheon stream. Among low impact development practices, Green Roof, Porous Pavement, and Bio-retention are selected for the application considering domestic situations and simulated with SWMM-LID model of each watershed and improvement of water cycle and reduction of non-point pollution loads was analysed. Improvement of water cycle and reduction of non-point pollution loads were analyzed including the property of rainfall and soil over long term simulation. The model was executed according to scenario based on combination of LID as changing conductivity in accordance with soil type of the watershed. Also, this study evaluated area of LID application that meets the efficiency of conventional management as a criteria for area of LID practices applying to sewer treatment district by comparing the efficiency of LID application with that of conventional method.
The government has set the disaster prevention performance target rainfall by the local government (National Emergency Management Agency, 2012) as a flood control policy that can prepare against natural disaster. However, the method of setting the disaster prevention performance target rainfall by municipalities does not reflect the rainfall characteristics of mountainous regions and islands. In this study, rainfall data reflecting the altitude and regional characteristics were analyzed using the meteorological observation system (ASOS, AWS) for Jeju Island. As a result, it was found that the rainfall increases about 1 ~ 4 times as the altitude increases from the lowland to the highland, and the existing disaster prevention performance target standard of Jeju Island does not reflect altitude characteristics. In addition, The target rainfall for disaster prevention performance is presented as dividing the two localities of Jeju city and Seogwipo city into Jeju East, West South and North areas. It is considered that various factors can be reflected in the compatibility assessment stage of rainfall estimation standard.
The concept of a Major/Minor system was applied to use urban flood prediction techniques, based on rainfall forecasts and real-time simulations, to reduce flood damage, by notifying a possible flood risk in advance. The SWMM one dimensional (1D)-two dimensional (2D) model has become the standard approach used in urban flood modeling, as it can realistically express the interaction between drainage networks and road surfaces. However, it is limited to the flood analysis of small areas due to its two-dimensional model characteristics, such as its long simulation time. Therefore, the SWMM 1D-1D model, which is fast enough to be applied to real-time simulations, is applied to real-time flood forecasting. To improve the accuracy of the model, SWMM 1D-1D model was calibrated using the SWMM 1D-2D model simulation results, and the SWMM 1D-1D model simulation results were extracted using the SWMM5 DLL and EXCEL VBA to analyze the flood situation. Finally, the applicability of the SWMM 1D-1D model was reviewed based on a rainfall event that occurred on 25 August 2014, assuming an hour of predicted rainfall. Key words : SWMM5 DLL, 1D-1D Model, 1D-2D Model, Flood Prediction 요 지 침수 위험성을 사전에 알림으로써 피해를 저감할 수 있는 침수예측기법 중 예측 강우 및 실시간 모의 기반의 침수예측기법을 활용하기 위해 Major/Minor 시스템 개념을 적용하였다. 도시침수 모델링의 표준사례가 된 SWMM 1D-2D모형은 배수관망과 도로 표면의 상호작용을 더 현실적으로 표현할 수 있지만 긴 모의시간 등 2차원 모형 특성 상 소규모 지역의 원인분석에
This study is to analyze the effect of the sea surface temperature (SST) on the distribution of vertical wind speed in the atmospheric boundary layer of coastal area. It is generally known that coastal areas are more susceptible to various weather factors due to interannual variation of sea surface temperature than inland areas. Therefore, the goal of this study is to analyze the relationship between sea surface temperature using the Era-interim reanalysis data and wind speed data based on the meteorological tower data of Hovsore, wind power test bed area in the Danish coastal area. Furthermore, the possibility of disaster caused by vertical wind shear due to sea surface temperature change is discussed. As a result of correlation analysis between the wind data of the meteorological tower and the sea surface temperature of the reanalysis data, the wind speed and the vertical wind shear from the sea are stronger than those from the inland and they are sensitive to the seasonal sea surface temperature changes.
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