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The result demonstrates that the proposed approach is feasible and exhibits the most reasonable classification result. The traditional cluster algorithm and technique for order of preference by similarity to ideal solution (TOPSIS) methods are used for comparison with the improved entropy-cluster algorithm so as to validate the proposed approach for risk management. PCSWMM 6.0 features an all new scatter plot that supports comparing any two (or more) time series, regardless of time step. PCSWMM is an urban-based hydrological model suited for the. The assessment result matches well with the historical data of flood events. Municipal By-laws concerning stormwater and the use of areas where source, conveyance and. The results indicate that high risk zones cover 13.7% of total area, which generally exhibit higher inundation depth and lower elevations. Calibration and validatio n of hydrologic/hydrau lic parameters of the Rocky Ridge wetland successfu lly modeled the obse rved flow. JunctionParameterSummary PCSWMM - Junction Parameter Sum Invert Elev (m) Rim Elev (m) Depth (m) Surcharg e Depth (m) 301 95.72 99.01 3.29 0 302 95.82 98.93 3. Flood Modeller 2D presents complex behavior with varying performance and without a clear trend, the maximum F values were 89.9 and 91.2 for the flood events with 20- and 50-year return. Subsequently, the k-means cluster algorithm is used to develop the flood risk map in the study area. PCSWMM applied to two storm wate r wetlands in Calgary, Alberta. PCSWMM 2D shows the smallest flooded area, with the maximum F values of 71.7 and 76.4 for the flood events with 20- and 50-year return periods, respectively. The index weights are calculated by an improved entropy weight method that integrates the entropy weight method and analytic hierarchy process (AHP) method.
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Seven evaluation indices are selected by coupling the natural hazard index system and hydrological models. A region in Haikou, China is adopted to test the applicability of the proposed approach. The proposed approach is data driven without considering classification standard of different risk levels, and thus provides a more reasonable and objective result. In the study, an integrated methodology is proposed by incorporating urban flood inundation model, improved entropy weight method and k-means cluster algorithm to evaluate urban flood risk. Flood risk assessment is an important tool for flood prevention and involves significant practical applications in flood risk management and flood disaster reduction. Grid resolution, the way in which hydraulic structures are mimicked, the model code, and the default value of the parameters are considered the main sources of prediction uncertainty.Floods are considered as one of the most frequently occurring natural hazards worldwide and are occurring increasingly frequent in recent decades. The pipe roughness value varied from 0.012 for High Density Polyethylene. A Manning’s roughness value was selected based on the material. Pipe and open channel materials were included in the GIS storm system map data. The Extran module was used for Trunkline 5 to model the natural channel cross sections. The analysis revealed that, for a given case, Iber 2D has the best performance in simulating the water level and inundation for flood events with 20- and 50-year return periods, respectively, followed by Flood Modeller 2D, HEC-RAS 2D, and PCSWMM 2D in terms of their performance. All trunklines were modeled in PCSWMM using the Transport module except for Trunkline 5. The model's performance was evaluated based on the water surface elevation and flood extent, in terms of the mean absolute difference and measure of fit. The study area covers a 5-km reach of the Santa Bárbara River located in the Ecuadorian Andes, at 2330 masl, in Gualaceo. This paper presents a comparative analysis of the performance of four two-dimensional hydraulic models (HEC-RAS 2D, Iber 2D, Flood Modeller 2D, and PCSWMM 2D) with respect to the generation of flood inundation maps. Appendix B: Arlington County Soil Profile Assumptions Used in PCSWMM File. Hydraulic models for the generation of flood inundation maps are not commonly applied in mountain river basins because of the difficulty in modeling the hydraulic behavior and the complex topography.