Flood Modeling Using GIS and PCSWMM

Modeling flood inundation has become increasingly significant, especially for urban setting. Information on flood characteristics and accurate flow paths is significant for storm water management, hydrological modeling, hydrological data analysis, and vulnerability assessment. This paper employed geographic information system (GIS) to process the input data, RIDF curve to generate different design storm scenarios and PCSWMM to simulate the urban flooding of the Luinab catchment in Iligan City, Philippines. The results demonstrate the methodology for integrating GIS and flood model for analyzing the hydrological behavior of the catchment. The calibrated model clearly identified the area prone to flooding and predicts the influence of imperviousness on the hydrological behavior of the catchment. Improvement of the drainage system could be achieved by a) increasing the capacity of main canal and/or b) providing an additional outlet from identified areas that are prone to flooding

Optimizing Building Orientation and Roof Angle of a Typhoon-Resilient Single-Family House Using Genetic Algorithm and Computational Fluid Dynamics

In the event of a typhoon, the majority of houses suffer from large amounts of damage because they were not built with typhoon resilience in mind. For instance, the Philippines is one of the world’s most vulnerable countries to typhoons. Often, roof structures are ripped off during typhoons with average or more vigorous wind gustiness, and houses are easily ruined. This situation led us to search for the appropriate building orientation and roof angle of single-family residential houses through simulations using MATLAB’s genetic algorithm (GA) and SolidWorks’ computational fluid dynamics (CFD). The GA provides the set of design points, while CFD generates a fitness score for each design point. The goal of the optimization is to determine the orientation and roof angle while minimizing the drag force along the direction of a constant wind speed (315 km/h). The lower and upper bounds for house orientation are 0∘ and 90∘, respectively; the roof angle is between 3∘ and 60∘. After 100 generations, the GA converged to values equal to an 80∘ orientation and 11∘ roof angle. The final results provide a good standpoint for future experiments on physical structures