كيميا كريمي

Due to the rapid urbanization and the impacts of global climate change, the risk of urban flooding has emerged as a critical research topic. The Storm Water Management Model (SWMM) is widely used as an effective tool for simulating urban rainfall-runoff processes due to its robust performance. However, the complexity of processes involved in urban flood modeling and simulation often results in time-consuming and challenging tasks. Consequently, interdisciplinary and multi-sectoral collaboration in this field has become an increasingly preva‎lent trend. To advance research and practical applications in flood modeling, several network-based systems and resource-sharing platforms have been introduced. Nevertheless, there remains a pressing need for a collaborative environment that can assist modelers in overcoming the challenges associated with distributed collaboration in flood modeling and simulation using SWMM. This study aims to develop a web-based system for managing urban flooding in the northern part of Aq Qala city, located in Golestan Province. Initially, the drainage network of the area was calibrated using municipal maps and rainfall data with a two-year return period. To validate the model, the 2019 Golestan flood was simulated in two dimensions using the PCSWMM platform, and the results were compared with observed data and flood extent maps. In this simulation, the Gorganrud River was also modeled separately using the HEC-RAS model to enable more accurate comparisons. The eva‎luation of the two-dimensional modeling shows that PCSWMM and HEC-RAS models exhibit high accuracy, with Nash–Sutcliffe Efficiency (NSE) values ranging from 0.878 to 0.917 for flow velocity and from 0.631 to 0.926 for flood depth. Additionally, the one-dimensional model demonstrated reliable performance, with NSE values of 0.9474 for discharge and 0.7504 for velocity. The high correlation coefficients between simulated and observed data confirm the model's appropriate alignment with reality. Subsequently, a one-dimensional model of the drainage network was designed and implemented as a web-based system. This system allows users to modify characteristics of sub-catchments—such as imperviousness percentage, Manning's coefficient, and Curve Number (CN)—and to input their own rainfall data. Moreover, users can select and eva‎luate the effects of implementing Low-Impact Development (LID) techniques for runoff reduction and flood management. The results indicate that implementing LID measures at critical locations led to a 30–50% reduction in peak discharge and decreased waterlogging, particularly in areas where permeable surfaces were more extensively applied. The main objective of this research is to design and implement an online collaborative system that facilitates effective cooperation among modelers in the flood modeling and simulation process. The system offers a strategic framework based on various collaborative scenarios and needs, encompassing a range of collaborative activities and supporting online tools for their implementation.

كنترل و مديريت سيلاب شهري , مدل تحت وب SWMM , تكنيك‌هاي توسعه كم‌اثر (LIDs) , مدل يك‌بعدي و دوبعدي

Urban flood control and management , web-based SWMM model , Low Impact Development (LID) techniques , one-dimensional and two-dimensional models

kimia karimi

Dr Motahareh Saadatpour , Dr Hossein Alizadeh