Robust Vegetation Parameterization for Green Roofs in the EPA Stormwater Management Model (SWMM)

In increasingly expanding cities, roofs are still largely unused areas to counteract the negative impacts of urbanization on the water balance and to reduce flooding. To estimate the effect of green roofs as a sustainable low impact development (LID) technique on the building scale, different approaches to predict the runoff are carried out. In hydrological modelling, representing vegetation feedback on evapotranspiration (ET) is still considered challenging. In this research article, the focus is on improving the representation of the coupled soil–vegetation system of green roofs. Relevant data to calibrate and validate model representations were obtained from an existing field campaign comprising several green roof test plots with different characteristics. A coupled model, utilizing both the Penman–Monteith equation to estimate ET and the software EPA stormwater management model (SWMM) to calculate the runoff, was set up. Through the application of an automatic calibration procedure, we demonstrate that this coupled modelling approach (Kling–Gupta efficiency KGE = 0.88) outperforms the standard ET representation in EPA SWMM (KGE = −0.35), whilst providing a consistent and robust parameter set across all green roof configurations. Moreover, through a global sensitivity analysis, the impact of changes in model parameters was quantified in order to aid modelers in simplifying their parameterization of EPA SWMM. Finally, an improved model using the Penman–Monteith equation and various recommendations are presented.

Program Development for Detention Pond Sizing Based on Excel Using SWMM Engine

In this study, we developed a program for detention pond sizing based on Excel in order to improve user convenience. The program includes a function for the derivation of flood hydrograph that was embodied by using the rational method hydrograph for connecting the design of the stormwater pipe. The design method of a permeable detention pond that is a kind of low impact development (LID) technique was also implemented. In addition, the operation of the program was found to be stable, and various discharge structures such as weir, pump, and pipe could be easily conducted using the engine of the stormwater management model (SWMM). The developed detention pond sizing program was applied to the actual design. Subsequently, similar results were derived by comparing with the actual design, and it was found that the program was appropriate.

Modelagem da drenagem urbana e avaliação das cargas bacteriológicas na Vertente Marítima de Fortaleza, Ceará

RESUMO Os sistemas de drenagem urbana podem representar fontes de aporte de poluentes aos corpos receptores aos quais se destinam. Diante disso, o presente trabalho teve como objetivo propor uma ferramenta para modelagem do sistema de drenagem urbana da bacia da Vertente Marítima de Fortaleza, Ceará, visando à avaliação das cargas bacteriológicas. Para esse fim, foi selecionado o stormwater management model (SWMM) para as simulações hidrológicas e hidráulicas; propôs-se uma metodologia para o cálculo das cargas bacteriológicas por meio da estimativa da carga difusa [CD] (NMP. dia-1.ha-1) e para a correlação desta com uma série de variáveis hidroambientais; e analisaram-se cenários para diferentes condições de precipitação pluviométrica, coleta de esgoto e resíduos sólidos dispostos inadequadamente (RSDI). Os resultados mostraram que o SWMM oferece respostas representativas e que o período chuvoso é responsável pelo maior aporte da carga bacteriológica à orla. Em relação ao modelo preditivo, foi ajustada uma função de potência de segunda ordem correlacionando CD com a precipitação média mensal (mm.dia-1) para as três sub-bacias analisadas. Posteriormente, os coeficientes das equações encontradas foram correlacionados ao indicador RSDI (kg.dia-1), obtendo-se um ajuste logarítmico (R2 = 0,99), com o qual é possível gerar uma equação de estimativa de CD para qualquer sub-bacia da Vertente Marítima. A análise dos cenários mostrou haver aumento significativo da carga em precipitações extremas (2 vezes) e diminuição considerável com a elevação da fração da população interligada à rede de esgoto, bem como diminuição da produção de RSDI (0,28 e 0,38 vezes do valor inicial nos Riachos Jacarecanga e Maceió, respectivamente).

Stormwater quality modeling in urbanized areas

Stormwater quality modeling with the use of Stormwater Management Model (SWMM) is presented. The model has been calibrated on the basis of measurements of flow and stormwater quality performed on a real catchment in Łódź, Poland. Calibrated model parameters and the correlations between the quality indexes are given. This will allow application of the model to other urban catchments equipped with storm drainage systems.