The results showed that adopting PCSWMM recommendation only for the Imperv (%) parameter for subcatchments characteristics is the simulated scenario which is closest to rational method, while other modifications from the default values alter substantially the peak flow value. The main objective is to analyze the PCSWMM use in a watershed without data for calibration using the SCS method, implementing PCSWMM recommendations and comparing them with the rational method in terms of peak flow results. In this study, PCSWMM was used for calculation of drainage system of Riacho Fundo’s urban area in Federal District in Brazil, in preparation for future analysis of LID implementation. To improve runoff estimation, it is growing the use of hydrodynamics models performed with computer programs, such as PCSWMM™ (SWMM with GIS integrated), but, most of the times model parameter values have to be assumed based on default values or developers´ recommendations. Unfortunately, it is very common in Brazil and in underdeveloped countries the lack of rainfall and field data, being frequently adopted the rational method for runoff estimation. The results of this study, in addition to supporting local LULC planning and land development activities, also could be applied to input data for empirical modeling, and designing sustainable stormwater management guidelines and monitoring strategies.Urbanization process changes the runoff generation, essential factor for drainage systems design. The four aggregate LID-BMPs reduced runoff volume (34%–61%), peak flow (6%–19%), and pollutant concentrations (53%–83%). For continuous simulation and analyzing LID-BMPs scenarios, the five-year (2011 to 2015) stormwater runoff data and LULC change patterns (only 2015 for LID-BMPs) were used.
Results show that the expansion of bare land and impervious cover, soil alteration, and high amount of precipitation influenced the stormwater runoff variability during different phases of land development. PCSWMM was used to simulate the monitored storm events from 2014 (calibration: R 2 and NSE>0.5 RMSE <11) and 2015 (validation: R 2 and NSE>0.5 RMSE <12).PCSWMM was used to simulate the monitored storm events from 2014 (calibration: R 2 and NSE > 0.5 RMSE 0.5 RMSE < 12).
Lake sub catchment characteristic can be evaluated through PCSWMM modelling. Analysis of water quality improvement due to different LIDs. Modelling LIDs using PCSWMM and EPA SWMM5. Introduction of low impact development methods (LIDs) in the catchment. Prediction of the water quality of the influents to the lake. These LID-BMPs were designed and distributed in the study area based on catchment characteristics, cost, and effectiveness. Calibration and validation of the PCSWMM model. The four aggregate LID-BMPs are: ecological (S1), utilizing pervious covers (S2), and multi-control (S3) and (S4). It used data from 2011 to 2015 that monitored 41 storm events and monthly LULC, and a Personalized Computer Storm Water Management Model (PCSWMM). This study used an integrated approach to determine the influence of land development and assess the ecological benefits of four aggregate LID-BMPs in stormwater runoff from a mixed land use and land cover (LULC) catchment with ongoing land development. In recent years, aggregate low impact development-best management practices (LID-BMPs) have been implemented to reduce the negative impacts of stormwater runoff on receiving water bodies. Understanding how land development influences stormwater runoff is essential for sustainably managing water resources.
Mitigating for the negative impacts of stormwater runoff is becoming a concern due to increased land development.