With the urban development of societies and increasing the human population, obviously, the consequences place an impact on land use and increased of runoff generation, especially in cities. Among these effects, we can mention the destruction of forest lands and the increase of areas with concrete and asphalt, and in general, intensification of lands permeability. Decreasing soil permeability increases all types of pollution, increases peak discharge, increases urban runoff sediments and reduces groundwater recharge, and ultimately causes damage to humans and nature. Humans have always attempted to reduce the negative effects of reducing soil permeability and disposal of urban runoff from the urban environment. Recently, in some countries, new methods called green infrastructure (GI) are used to drain and improve the quality of urban runoff. In this study, one of these methods has been used in new areas using Hydrological Simulation Program-FORTRAN (HSPF) in interface with Better Assessment Science Integrating Point and Nonpoint (BASINS). The study area in this research is the catchment area of ??Salt Lake City Valley watershed, Utah, USA. BASINS interface was used for initial preparation of information and HSPF software was used for rainfall-runoff simulation, with acceptable performance in rainfall-runoff modeling processes. Data from 1992 to early 2000 were used for calibration and from 2008 and 2009 for validation. In this simulation, to evaluate the accuracy of calibration and validation, the criteria of normalized root mean square error, Nash-Sutcliffe Efficiency and Coefficient of Determination have been used. The value of Coefficient of Determination in calibration is equal to 0.71 and in validation is equal to 0.75. The criterion of normalized root mean square error in calibration is 0.1 and in validation is 0.11, and the Nash-Sutcliffe Efficiency in calibration and validation is 0.71. In this study, six scenarios have been considered to investigate the effects of GI on peak discharge, runoff volume and deep layer water recharge in urban and non-urban areas. In the first scenario, runoff from four heavy and short-term precipitation was investigated. The peak discharge affected by the vegetated swale decreased from 38 to 49 percent. In this scenario, the total volume of runoff due to precipitation has decreased by 21 to 37 percent. In the second scenario, where longer and milder precipitations are considered, the total runoff volume is reduced from 5 to 14%. In the third scenario, where the effect of vegetated swale on runoff volume in the long period of time was investigated, it was observed that practice of vegetated swale can reduce runoff volume by up to 9%. In the fourth scenario, the impact of GI on non-urban areas that are naturally well-permeable was investigated and it was observed that the application of vegetated swale in these areas reduce runoff insignificantly, since it was dominated by agricultural and forest areas. In the fifth scenario, the effect of vegetated swale application on deep groundwater recharge was investigated. Active groundwater recharge was increased about 9% of total rainfall and Inactive groundwater recharge increased about 1% of total rainfall. In the sixth scenario, two vegetated swales were compared with rectangular and trapezoidal sections, both with equal in the horizontal dimension of the wet surface. It was observed that if the wet perimeter of different sections were equal, there would not be much difference in the final runoff volume results. Also, the water balance for 2004 to 2009 was estimated both for the entire catchment area and for the small urban sub-basin. The amount of error was 5% for the entire watershed and 2% for the urban sub-watershed. Keyword: Rainfall-Runoff Process, Green Infrastructure, Peak and Volume of Runoff, Infiltration