Abstract
The alteration of natural land cover due to global urbanization has led to the creation of extensive impermeable surfaces, which hinder water infiltration and promote runoff from precipitation. This phenomenon adversely affects the natural environment and water quality. To address the issue of stormwater generation, this study utilized the Storm Water Management Model (SWMM) in conjunction with MAPWindow Geographical Information System (GIS) to simulate the impact of specific Low Impact Developments (LIDs) for mitigating stormwater in the study area. The study area was divided into six sub-basins within the GIS environment and imported into SWMM to assess the effects of selected LIDs, including green roofs, rain gardens, vegetative swales, and permeable pavements. The SWAT model was employed to predict the flow of water in the Malete watershed and the runoff on its surface. The study identified areas that were susceptible to erosion and were categorized as low, high, severe, and extreme. The results indicated that all LIDs simulated effectively reduced stormwater generation across the sub-basins. Notably, permeable pavements exhibited the highest reduction rate, reducing stormwater by approximately 50% across all sub-basins, whereas green roofs showed the lowest reduction rate of only 0.003%. Regional calibration was implemented and a significant correlation of 71% was observed between the simulated and observed flows in the study area. The findings of this study can serve as a valuable decision-support tool for various stakeholders and relevant authorities when selecting appropriate LID practices to mitigate the urban impact of stormwater generation.
Published Version
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