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SERGHEI-SWMM：Parallel computing and portability-based urban flood

model and its application

1 1 2 1 1 1

ZHENG Na ，WANG Junbo ，LI Xiaoning ，LI Bo ，LI Zhi ，LIU Shuguang

（1. School of Civil Engineering，Tongji University，Shanghai 200092，China；2. School of Environmental and Safety

Engineering （School of Emergency Management），Jiangsu University，Zhenjiang 212013，China）

Abstract：With the increasing uncertainty of climate change，flood disasters caused by extreme weather events have

become one of the key issues affecting the development of urban resilience systems. Urban flood simulation models，

as important tools for assessing flood risk，supporting urban disaster prevention and mitigation systems，and enhanc⁃
ing emergency management capabilities，have seen relatively mature development in terms of computational method⁃

ologies. Currently，coupled drainage and surface runoff models are extensively used for urban flood simulations；yet
these models lack robust portability across diverse high-performance computing architectures. In this study，a

coupled hydrodynamic model SERGHEI-SWMM is proposed to integrate one-dimensional pipe flow simulation and
two-dimensional surface runoff simulation using the Kokkos heterogeneous parallel computing framework. The accu⁃
racy and reliability of SERGHEI-SWMM are first validated through a benchmark test against established models such

as InfoWorks ICM，with the relative differences remaining below 9%. Subsequently，we implement a detailed

coupled model for an urban flood scenario within Tongji University campus. After calibration and validation，our

results demonstrate that SERGHEI-SWMM accurately simulates interactions between surface runoff and subsurface
pipe flow，as well as the spatiotemporal evolution of inundation during flood events. Performance analysis further illus⁃

trates that SERGHEI-SWMM achieves high computational efficiency on different CPU and GPU platforms. Overall，
this study demonstrates that the SERGHEI-SWMM model offers excellent computational accuracy，reliability，and

portability. It thus provides a robust technical foundation for efficient urban flood risk assessment and sets the stage
for future real-time flood forecasting.

Keywords：urban flood；coupled model；model portability；parallel computing；CPU/GPU heterogeneous computing

（责任编辑：耿庆斋）
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