Mobile QR Code QR CODE : Journal of the Korean Society of Civil Engineers
Title Estimation of Inundation Area by Linking of Rainfall-Duration-Flooding Quantity Relationship Curve with Self-Organizing Map
Authors 김현일(Kim, Hyun Il) ; 금호준(Keum, Ho Jun) ; 한건연(Han, Kun Yeun)
DOI https://doi.org/10.12652/Ksce.2018.38.6.0839
Page pp.839-850
ISSN 10156348
Keywords 도시 침수;자기조직화 특징 지도;홍수 예.경보 Urban inundation;Self-organizing feature map;SWMM;Flood forecast and warning
Abstract The flood damage in urban areas due to torrential rain is increasing with urbanization. For this reason, accurate and rapid flooding forecasting and expected inundation maps are needed. Predicting the extent of flooding for certain rainfalls is a very important issue in preparing flood in advance. Recently, government agencies are trying to provide expected inundation maps to the public. However, there is a lack of quantifying the extent of inundation caused by a particular rainfall scenario and the real-time prediction method for flood extent within a short time. Therefore the real-time prediction of flood extent is needed based on rainfall-runoff-inundation analysis. One/two dimensional model are continued to analyize drainage network, manhole overflow and inundation propagation by rainfall condition. By applying the various rainfall scenarios considering rainfall duration/distribution and return periods, the inundation volume and depth can be estimated and stored on a database. The Rainfall-Duration-Flooding Quantity (RDF) relationship curve based on the hydraulic analysis results and the Self-Organizing Map (SOM) that conducts unsupervised learning are applied to predict flooded area with particular rainfall condition. The validity of the proposed methodology was examined by comparing the results of the expected flood map with the 2-dimensional hydraulic model. Based on the result of the study, it is judged that this methodology will be useful to provide an unknown flood map according to medium-sized rainfall or frequency scenario. Furthermore, it will be used as a fundamental data for flood forecast by establishing the RDF curve which the relationship of rainfall-outflow-flood is considered and the database of expected inundation maps.